| griddap |
Subset |
tabledap |
Make A Graph |
wms |
files |
Title |
Summary |
FGDC |
ISO 19115 |
Info |
Background Info |
RSS |
Email |
Institution |
Dataset ID |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland10.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland10 |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland10.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonIsland10_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonIsland10_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-BretonIsland10/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonIsland10.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonIsland10&showErrors=false&email= |
U.S. Geological Survey |
wind-BretonIsland10 |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland20.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland20 |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland20.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonIsland20_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonIsland20_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-BretonIsland20/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonIsland20.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonIsland20&showErrors=false&email= |
U.S. Geological Survey |
wind-BretonIsland20 |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland5.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland5 |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonIsland5.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonIsland5_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonIsland5_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-BretonIsland5/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonIsland5.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonIsland5&showErrors=false&email= |
U.S. Geological Survey |
wind-BretonIsland5 |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonSound5.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonSound5 |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-BretonSound5.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-BretonSound5_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-BretonSound5_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-BretonSound5/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-BretonSound5.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-BretonSound5&showErrors=false&email= |
U.S. Geological Survey |
wind-BretonSound5 |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-Dorado.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-Dorado |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-Dorado.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-Dorado_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-Dorado_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-Dorado/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-Dorado.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-Dorado&showErrors=false&email= |
U.S. Geological Survey |
wind-Dorado |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-IslaVerde.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-IslaVerde |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-IslaVerde.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-IslaVerde_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-IslaVerde_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-IslaVerde/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-IslaVerde.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-IslaVerde&showErrors=false&email= |
U.S. Geological Survey |
wind-IslaVerde |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-MadBeach.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-MadBeach |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-MadBeach.graph |
|
|
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION. |
STP Spotter Buoy. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
speed
direction
seasurfaceId (Seasurface Id)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-MadBeach_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-MadBeach_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-MadBeach/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-MadBeach.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-MadBeach&showErrors=false&email= |
U.S. Geological Survey |
wind-MadBeach |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-gri.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-gri |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-gri.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/wind-gri/ |
Grizzly Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. |
Grizzly Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
boardbatt (Logger board battery voltage, V)
boardtemp (Logger board temperature, degree_C)
signalpct (Cellular signal strength, percent)
Dm (Wind From Direction, degree)
Sm (Wind Speed, m s-1)
Pa (Air Pressure, Pa)
Ta (Air Temperature, degree_C)
Ua (Relative Humidity, percent)
Rc (Rainfall Amount, mm)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-gri_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-gri_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-gri/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-gri.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-gri&showErrors=false&email= |
U.S. Geological Survey |
wind-gri |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wts.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wts |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wts.graph |
|
|
Whale's Tail South Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. |
Whale's Tail South Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
boardbatt (Logger board battery voltage, V)
boardtemp (Logger board temperature, degree_C)
signalpct (Cellular signal strength, percent)
Dm (Wind From Direction, degree)
Sm (Wind Speed, m s-1)
Pa (Air Pressure, hPa)
Ta (Air Temperature, degree_C)
Ua (Relative Humidity, percent)
Rc (Rainfall Amount, mm)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-wts_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-wts_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-wts/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-wts.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-wts&showErrors=false&email= |
U.S. Geological Survey |
wind-wts |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wtw.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wtw |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-wtw.graph |
|
|
Whale's Tail Winter Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. |
Whale's Tail Winter Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
boardbatt (Logger board battery voltage, V)
boardtemp (Logger board temperature, degree_C)
signalpct (Cellular signal strength, percent)
Dm (Wind From Direction, degree)
Sm (Wind Speed, m s-1)
Pa (Air Pressure, hPa)
Ta (Air Temperature, degree_C)
Ua (Relative Humidity, percent)
Rc (Rainfall Amount, mm)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-wtw_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-wtw_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-wtw/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-wtw.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-wtw&showErrors=false&email= |
U.S. Geological Survey |
wind-wtw |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-bel.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-bel |
https://geoport.usgs.esipfed.org/erddap/tabledap/wind-bel.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/wind-bel/ |
Bellingham Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION. |
Bellingham Bay Meteorological Station. PROVISIONAL DATA SUBJECT TO REVISION.
cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
boardbatt (Logger board battery voltage, V)
boardtemp (Logger board temperature, degree_C)
signalpct (Cellular signal strength, percent)
Dm (Wind From Direction, degree)
Sm (Wind Speed, m s-1)
Pa (Air Pressure, hPa)
Ta (Air Temperature, degree_C)
Ua (Relative Humidity, percent)
Rc (Rainfall Amount, mm)
latitude (degrees_north)
longitude (degrees_east)
feature_type_instance (station code)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/wind-bel_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/wind-bel_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/wind-bel/index.xhtml |
https://www.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/wind-bel.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=wind-bel&showErrors=false&email= |
U.S. Geological Survey |
wind-bel |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8401mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8401mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8401mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8401mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 840 - 8401mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 840 and package 8401mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 840 and package 8401mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8401mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8401mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8401mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8401mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8401mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8401mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8413mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8413mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8413mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8413mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 841 - 8413mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8413mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8413mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8413mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8413mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8413mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8413mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8413mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8413mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8416mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8416mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8416mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8416mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 841 - 8416mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8416mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 841 and package 8416mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8416mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8416mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8416mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8416mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8416mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8416mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8453mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8453mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8453mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8453mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 845 - 8453mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8453mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8453mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8453mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8453mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8453mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8453mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8453mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8453mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8461mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8461mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8461mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8461mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 846 - 8461mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8461mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8461mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8461mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8461mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8461mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8461mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8461mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8461mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8463mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8463mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8463mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8463mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 846 - 8463mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8463mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 846 and package 8463mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8463mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8463mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8463mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8463mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8463mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8463mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8501mc-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8501mc-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8501mc-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8501mc-a/ |
USGS-CMG time-series data: PV_SHELF07 - 850 - 8501mc-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 850 and package 8501mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 850 and package 8501mc-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
C_51 (Conductivity, S/m)
S_41 (Wind Speed, m/s)
T_28 (Water Temperature, degree_Celsius)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8501mc-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8501mc-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8501mc-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8501mc-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8501mc-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8501mc-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Amet-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Amet-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Amet-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/7601Amet-a/ |
USGS-CMG time-series data: PV_SHELF04 - 760 - 7601Amet-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Amet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Amet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
AT_21 (Air Temperature, degree_Celsius)
BP_915 (Air Pressure, Pa)
RH_910 (Relative Humidity, percent)
WDS_415 (WIND DIRECTION STABILITY)
WD_410 (Wind Direction, degree)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/7601Amet-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/7601Amet-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/7601Amet-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/7601Amet-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=7601Amet-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
7601Amet-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Bmet-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Bmet-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/7601Bmet-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/7601Bmet-a/ |
USGS-CMG time-series data: PV_SHELF04 - 760 - 7601Bmet-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Bmet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2004 project, mooring 760 and package 7601Bmet-a. Additional observations to estimate the quantity and direction of sediment erosion and transport on the shelf near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
AT_21 (Air Temperature, degree_Celsius)
BP_915 (Air Pressure, Pa)
RH_910 (Relative Humidity, percent)
WDS_415 (WIND DIRECTION STABILITY)
WD_410 (Wind Direction, degree)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/7601Bmet-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/7601Bmet-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/7601Bmet-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/7601Bmet-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=7601Bmet-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
7601Bmet-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/11111met-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/11111met-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/11111met-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/11111met-a/ |
USGS-CMG time-series data: MATANZAS_18 - 1111 - 11111met-a |
USGS-CMG time-series data from the Matanzas Inlet, FL, 2018 project, mooring 1111 and package 11111met-a. Oceanographic and Water Quality Measurements in the Nearshore Zone at Matanzas Inlet, Florida, January - April, 2018
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Matanzas Inlet, FL, 2018 project, mooring 1111 and package 11111met-a. Oceanographic and Water Quality Measurements in the Nearshore Zone at Matanzas Inlet, Florida, January - April, 2018)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BP_915 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/11111met-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/11111met-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/11111met-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/11111met-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=11111met-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
11111met-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/9191met-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/9191met-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/9191met-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/9191met-a/ |
USGS-CMG time-series data: FI12 - 919 - 9191met-a |
USGS-CMG time-series data from the Fire Island NY - Offshore project, mooring 919 and package 9191met-a. Oceanographic and meteorological observations were made at 7 sites on and around the sand ridges offshore of Fire Island NY in winter 2012 to study coastal processes.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Fire Island NY - Offshore project, mooring 919 and package 9191met-a. Oceanographic and meteorological observations were made at 7 sites on and around the sand ridges offshore of Fire Island NY in winter 2012 to study coastal processes.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BP_915 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
pr_ori (mbar)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/9191met-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/9191met-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/9191met-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/9191met-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=9191met-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
9191met-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/9851met-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/9851met-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/9851met-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/9851met-a/ |
USGS-CMG time-series data: FI14 - 985 - 9851met-a |
USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 985 and package 9851met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 985 and package 9851met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BP_915 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/9851met-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/9851met-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/9851met-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/9851met-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=9851met-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
9851met-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/10011met-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/10011met-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/10011met-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/10011met-a/ |
USGS-CMG time-series data: FI14 - 1001 - 10011met-a |
USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 1001 and package 10011met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Fire Island NY - Nearshore project, mooring 1001 and package 10011met-a. Oceangraphic and meterological observations were made at 9 sites on and around the sand ridges offshore of Fire Island NY in winter 2014 to study coastal processes.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BP_915 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/10011met-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/10011met-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/10011met-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/10011met-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=10011met-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
10011met-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/8451met-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/8451met-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/8451met-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/8451met-a/ |
USGS-CMG time-series data: PV_SHELF07 - 845 - 8451met-a |
USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8451met-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Palos Verdes Shelf 2007 project, mooring 845 and package 8451met-a. Follow-up observations to evaluate how often coastal ocean processes move the DDT contaminated sediments near the White Point ocean outfalls.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
AT_21 (Air Temperature, degree_Celsius)
BP_915 (Air Pressure, Pa)
Ptch_1216 (Instrument Pitch, degree)
Roll_1217 (Instrument Roll, degree)
STD_Ptch (ADCP Pitch - Standard Deviation, degree)
STD_Roll (ADCP Roll - Standard Deviation, degree)
WD_410 (Wind Direction, degree)
WS_401 (Wind Speed, m/s)
WU_422 (Eastward Wind (U), m/s)
WV_423 (Northward Wind (V), m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/8451met-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/8451met-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/8451met-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/8451met-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=8451met-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
8451met-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/9521hlm_all-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/9521hlm_all-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/9521hlm_all-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/9521hlm_all-a/ |
USGS-CMG time-series data: RCNWR - 952 - 9521hlm_all-a |
USGS-CMG time-series data from the Rachel Carson NWR 2013 project, mooring 952 and package 9521hlm_all-a. Oceanographic and water-quality observations made at 3 sites in the wetlands of the Rachel Carson National Wildlife Refuge.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the Rachel Carson NWR 2013 project, mooring 952 and package 9521hlm_all-a. Oceanographic and water-quality observations made at 3 sites in the wetlands of the Rachel Carson National Wildlife Refuge.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BAT_106 (Battery Voltage, V )
BPR_915 (Air Pressure, Pa)
Current (System Current, mA )
PAR_251 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/9521hlm_all-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/9521hlm_all-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/9521hlm_all-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/9521hlm_all-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=9521hlm_all-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
9521hlm_all-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/938metA-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/938metA-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/938metA-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/938metA-a/ |
USGS-CMG time-series data: WFAL - 938 - 938metA-a |
USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metA-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metA-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BAT_106 (Battery Voltage, V )
BPR_915 (Air Pressure, Pa)
Current (System Current, mA )
DP_951 (Dew Point, degree_Celsius)
PAR_251 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/938metA-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/938metA-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/938metA-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/938metA-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=938metA-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
938metA-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/938metB-a.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/938metB-a |
https://geoport.usgs.esipfed.org/erddap/tabledap/938metB-a.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/938metB-a/ |
USGS-CMG time-series data: WFAL - 938 - 938metB-a |
USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metB-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay.
cdm_data_type = TimeSeries
VARIABLES:
feature_type_instance (Identifier for each feature type instance)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
platform (USGS-CMG time-series data from the West Falmouth Harbor Fluxes project, mooring 938 and package 938metB-a. Oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay.)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
altitude (z of the sensor relative to the water surface, m)
BAT_106 (Battery Voltage, V )
BPR_915 (Air Pressure, Pa)
Current (System Current, mA )
DP_951 (Dew Point, degree_Celsius)
PAR_251 (Air Pressure, Pa)
Qs_133 (Shortwave Radiation, w/m^2)
RH_910 (Relative Humidity, percent)
T_21 (Air Temperature, degree_Celsius)
WD_410 (Wind Direction, degree)
WG_402 (Wind Gust, m/s)
WS_401 (Wind Speed, m/s)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/938metB-a_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/938metB-a_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/938metB-a/index.xhtml |
https://stellwagen.er.usgs.gov/ |
https://geoport.usgs.esipfed.org/erddap/rss/938metB-a.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=938metB-a&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
938metB-a |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc-wvs-p.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc-wvs-p |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc-wvs-p.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1T01adc-wvs-p/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1T01adc-wvs-p |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (10 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1T01adc-wvs-p_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1T01adc-wvs-p_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1T01adc-wvs-p/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1T01adc-wvs-p.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1T01adc-wvs-p&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1T01adc-wvs-p |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc-wvs-p.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc-wvs-p |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc-wvs-p.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M4T01adc-wvs-p/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M4T01adc-wvs-p |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M4T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (10 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M4T01adc-wvs-p_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M4T01adc-wvs-p_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M4T01adc-wvs-p/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M4T01adc-wvs-p.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M4T01adc-wvs-p&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M4T01adc-wvs-p |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc-wvs-p.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc-wvs-p |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc-wvs-p.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M2T01adc-wvs-p/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M2T01adc-wvs-p |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M2T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (10 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M2T01adc-wvs-p_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M2T01adc-wvs-p_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M2T01adc-wvs-p/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M2T01adc-wvs-p.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M2T01adc-wvs-p&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M2T01adc-wvs-p |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc-wvs-p.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc-wvs-p |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc-wvs-p.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5T01adc-wvs-p/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5T01adc-wvs-p |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5T01adc-wvs-p. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (10 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5T01adc-wvs-p_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5T01adc-wvs-p_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5T01adc-wvs-p/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5T01adc-wvs-p.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5T01adc-wvs-p&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5T01adc-wvs-p |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M01ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M01ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M01ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M01ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M01ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M01ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M01ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M01ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M01ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M01ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M01ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M01ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M01ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M01ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M01ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M01ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M01ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M01ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M01ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M01ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M01ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M01ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M01ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M01ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M21tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M21tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M21tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M21tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M21tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M21tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M21tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M21tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M21tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M21tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M21tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M21tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M21tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M21tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M21tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M21tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M21tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M21tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M21tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M21tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M21tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M21tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M21tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M21tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M31tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M31tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M31tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M31tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M31tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M31tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M31tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M31tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M31tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M31tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M31tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M31tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M41tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M41tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M41tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M41tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M41tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M41tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M41tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M41tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M41tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M41tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M41tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M41tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M51tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M51tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M51tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M51tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M51tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M51tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M51tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M51tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M51tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M51tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M51tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M51tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M22tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M22tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M22tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M22tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M22tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M22tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M22tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M22tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M22tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M22tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M22tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M22tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M31tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M31tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M31tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M31tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M31tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M31tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M31tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M31tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M31tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M31tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M31tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M31tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M41tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M41tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M41tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M41tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M41tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M41tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M41tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M41tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M41tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M41tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M41tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M41tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M51tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M51tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M51tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M51tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M51tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M51tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M51tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M51tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M51tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M51tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M51tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M51tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M31tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M31tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M31tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M31tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M31tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M31tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M31tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M31tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M31tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M31tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M31tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M31tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M41tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M41tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M41tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M41tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M41tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M41tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M41tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M41tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M41tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M41tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M41tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M41tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M51tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M51tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M51tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M51tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M51tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M51tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M51tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M51tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M51tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M51tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M51tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M51tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M22tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M22tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M22tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M22tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M22tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M22tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M22tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M22tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M22tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M22tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M22tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M22tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M21tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M21tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M21tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M21tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M21tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M21tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M21tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M21tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M21tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M21tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M21tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M21tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M32tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M32tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M32tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M32tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M32tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M32tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M32tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M32tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M32tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M32tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M32tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M32tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M42tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M42tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M42tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M42tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M42tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M42tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M42tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M42tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M42tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M42tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M42tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M42tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M52tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M52tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5M52tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5M52tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M52tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M52tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5M52tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5M52tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5M52tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5M52tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5M52tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5M52tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M32tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M32tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M32tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M32tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M32tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M32tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M32tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M32tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M32tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M32tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M32tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M32tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M42tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M42tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M42tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M42tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M42tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M42tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M42tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M42tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M42tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M42tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M42tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M42tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M52tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M52tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M52tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M52tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M52tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M52tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M52tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M52tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M52tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M52tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M52tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M52tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M22tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M22tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M22tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M22tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M22tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M22tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M22tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M22tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M22tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M22tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M22tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M22tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M32tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M32tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M32tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M32tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M32tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M32tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M32tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M32tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M32tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M32tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M32tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M32tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M42tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M42tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M42tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M42tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M42tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M42tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M42tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M42tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M42tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M42tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M42tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M42tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M52tl.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M52tl |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3M52tl.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3M52tl/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3M52tl |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3M52tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (5 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3M52tl_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3M52tl_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3M52tl/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3M52tl.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3M52tl&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3M52tl |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T02ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T02ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T02ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1T02ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1T02ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (7 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1T02ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1T02ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1T02ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1T02ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1T02ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1T02ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T02ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T02ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T02ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M2T02ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M2T02ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M2T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (7 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M2T02ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M2T02ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M2T02ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M2T02ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M2T02ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M2T02ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T02ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T02ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T02ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5T02ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5T02ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (7 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5T02ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5T02ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5T02ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5T02ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5T02ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5T02ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M01ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M01ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1M01ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1M01ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1M01ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1M01ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (7 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1M01ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1M01ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1M01ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1M01ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1M01ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1M01ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T02ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T02ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T02ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3T02ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3T02ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (7 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3T02ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3T02ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3T02ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3T02ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3T02ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3T02ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T02ct.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T02ct |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T02ct.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M4T02ct/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M4T02ct |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M4T02ct. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeries
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (7 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M4T02ct_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M4T02ct_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M4T02ct/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M4T02ct.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M4T02ct&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M4T02ct |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T01adc.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T01adc |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M3T01adc.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M3T01adc/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M3T01adc |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M3T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeriesProfile
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (21 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M3T01adc_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M3T01adc_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M3T01adc/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M3T01adc.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M3T01adc&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M3T01adc |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M4T01adc.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M4T01adc/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M4T01adc |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M4T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeriesProfile
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (21 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M4T01adc_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M4T01adc_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M4T01adc/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M4T01adc.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M4T01adc&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M4T01adc |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M1T01adc.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M1T01adc/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M1T01adc |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M1T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeriesProfile
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (21 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M1T01adc_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M1T01adc_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M1T01adc/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M1T01adc.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M1T01adc&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M1T01adc |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M5T01adc.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M5T01adc/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5T01adc |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeriesProfile
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (21 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M5T01adc_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M5T01adc_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M5T01adc/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M5T01adc.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M5T01adc&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M5T01adc |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc |
https://geoport.usgs.esipfed.org/erddap/tabledap/AMS15M2T01adc.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/AMS15M2T01adc/ |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M2T01adc |
Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M2T01adc. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.
The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks:
Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.
cdm_data_type = TimeSeriesProfile
VARIABLES:
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
... (21 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/AMS15M2T01adc_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/AMS15M2T01adc_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/AMS15M2T01adc/index.xhtml |
https://doi.org/10.5066/F7RN362H |
https://geoport.usgs.esipfed.org/erddap/rss/AMS15M2T01adc.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=AMS15M2T01adc&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
AMS15M2T01adc |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL916HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL916HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL916HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL916HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL916HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL916HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL916HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL916HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL916HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL916LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL916LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL916LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL916LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL916LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL916LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL916LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL916LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL916LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL916LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL516HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL516HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL516HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL516HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL516HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL516HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL516HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL516HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL516HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL107LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL107LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL107LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL107LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL107LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL107LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL107LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL107LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL107LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL107HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL107HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL107HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL107HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL107HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL107HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL107HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL107HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL107HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL107HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL516LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL516LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL516LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL516LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL516LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL516LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL516LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL516LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL516LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL516LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL315HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL315HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL315HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL315HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL315HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL315HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL315HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL315HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL315HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL616HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL616HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL616HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL616HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL616HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL616HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL616HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL616HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL616HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL117HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL117HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL117HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL117HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL117HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL117HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL117HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL117HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL117HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL117HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL117HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL117HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL115HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL115HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL115HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL115HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL115HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL115HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL115HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL115HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL115HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL115LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL115LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL115LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL115LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL115LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL115LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL115LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL115LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL115LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL115LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVDvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVDvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVDvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL716HVDvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL716HVDvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL716HVDvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL716HVDvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL716HVDvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL716HVDvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL716HVDvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL716HVDvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL716HVDvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL416LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL416LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL416LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL416LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL416LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL416LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL416LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL416LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL416LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL137HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL137HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL137HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL137HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL137HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL137HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL137HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL137HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL137HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL416HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL416HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL416HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL416HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL416HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL416HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL416HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL416HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL416HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL416HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL315LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL315LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL315LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL315LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL315LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL315LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL315LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL315LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL315LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL315LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL616LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL616LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL616LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL616LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL616LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL616LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL616LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL616LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL616LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL616LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215LVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215LVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215LVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL215LVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL215LVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL215LVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL215LVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL215LVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL215LVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL215LVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL215LVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL215LVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL816HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL816HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL816HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL816HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL816HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL816HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL816HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL816HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL816HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVEvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVEvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVEvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL816HVEvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL816HVEvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL816HVEvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL816HVEvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL816HVEvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL816HVEvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL816HVEvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL816HVEvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL816HVEvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL127HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL127HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL127HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL127HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL127HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL127HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL127HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL127HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL127HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL215HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL215HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL215HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL215HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL215HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL215HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL215HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL215HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL215HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL215HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVDvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVDvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL816HVDvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL816HVDvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL816HVDvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL816HVDvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL816HVDvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL816HVDvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL816HVDvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL816HVDvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL816HVDvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL816HVDvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127WVAvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127WVAvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL127WVAvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL127WVAvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL127WVAvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL127WVAvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL127WVAvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL127WVAvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL127WVAvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL127WVAvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL127WVAvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL127WVAvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVBvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVBvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL716HVBvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL716HVBvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL716HVBvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL716HVBvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL716HVBvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL716HVBvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL716HVBvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL716HVBvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL716HVBvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL716HVBvec-s |
|
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137WVAvec-s.subset |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137WVAvec-s |
https://geoport.usgs.esipfed.org/erddap/tabledap/DL137WVAvec-s.graph |
|
https://geoport.usgs.esipfed.org/erddap/files/DL137WVAvec-s/ |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019), DL137WVAvec-s |
Wind-wave and suspended-sediment data from Liberty Island and Little Holland Tract, Sacramento-San Joaquin Delta, California (ver. 2.0, September 2019) - DL137WVAvec-s. Data were collected by the U.S. Geological Survey (United States Geological Survey (USGS)) Pacific Coastal and Marine Science Center to investigate the influence of wind waves on sediment dynamics in two flooded agricultural tracts in the northern Sacramento-San Joaquin Delta: Little Holland Tract and Liberty Island. This effort is part of a large interdisciplinary study led by the USGS California Water Science Center and funded by the U.S. Bureau of Reclamation to investigate how shallow-water habitats in the Sacramento-San Joaquin Delta function and whether they provide good habitat for native fish species, including the Delta smelt. Elevated turbidity is a requirement for Delta smelt habitat, and turbidity is largely comprised of suspended sediment. Wind waves develop in large open-water regions with large fetch, and can increase turbidity by mobilizing bottom sediments.
Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with 'H' are in LHT; station names starting with 'L' are in LI, and the station name starting with 'W' is in LICB. At stations with a 'W' as the second character of the station name, we collected water-level, wind-wave, and turbidity time-series data. At stations with a 'V' as the second character of the station name, we collected water-level, wind-wave, and turbidity, as well as velocity time-series data. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site (tables 2a,b) for LHT and LI. Details on instrumentation and sampling are included on the individual pages for each station (see links below). Data were sequentially added to this data release as they were retrieved and post-processed.
cdm_data_type = TimeSeries
VARIABLES:
burst (Burst Number, 1)
time (time of measurement, seconds since 1970-01-01T00:00:00Z)
latitude (sensor latitude, degrees_north)
longitude (sensor longitude, degrees_east)
... (29 more variables)
|
https://geoport.usgs.esipfed.org/erddap/metadata/fgdc/xml/DL137WVAvec-s_fgdc.xml |
https://geoport.usgs.esipfed.org/erddap/metadata/iso19115/xml/DL137WVAvec-s_iso19115.xml |
https://geoport.usgs.esipfed.org/erddap/info/DL137WVAvec-s/index.xhtml |
https://doi.org/10.5066/F73R0R07 |
https://geoport.usgs.esipfed.org/erddap/rss/DL137WVAvec-s.rss |
https://geoport.usgs.esipfed.org/erddap/subscriptions/add.html?datasetID=DL137WVAvec-s&showErrors=false&email= |
USGS Coastal and Marine Geology Program |
DL137WVAvec-s |