* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)


These data are part of the U.S. Antarctic Marine Living Resources (AMLR) Program Operation FREEBYRD. FREEBYRD is a long term program to replace ship-based surveys with autonomous vehicles to estimate Antarctic krill biomass in support of the Convention for the Conservation of Antarctic Marine Living Resources (CCAMLR). This delayed dataset contains CTD, oxygen, chlorophyll a, CDOM and optical backscatter measurements.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter, m-1)
cdom (ppb)
chlorophyll (mg m-3)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll, and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_qc (latitude Quality Flag)
lat_uv (Depth-averaged Latitude, degree_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (longitude Quality Flag)
lon_uv (Depth-averaged Longitude, degree_east)
... (24 more variables)

NOAA SWFSC Antarctic Ecosystem Research Division


Argo float data from UW/MBARI, BGC-Argo and Core, preliminary near real-time

Quality controlled data from the BGC-Argo floats hosted at MBARI.  Includes all GO-BGC (Global Ocean Biogeochemistry array) and SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) floats.  Raw data are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files).  BGC-Argo formatted netCDF files for all floats including a WMO number are also available on the Argo GDAC (ftp://usgodae.org/pub/outgoing/argo/dac/aoml/).  NOTE: These data are served in NEAR REAL-TIME and are  PROVIDED AS-IS.  Be aware that inaccuracies may be present within the data. While automated quality control procedures are applied during near real-time processing, additional delayed mode quality control (and data adjustments based on comparisons to reference fields) is done at a minimum of twice per year per float.  MBARI data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the near real-time data itself or the algorithms used in the generation of derived carbon parameters.  It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.  For archived snapshots of the MBARI BGC-Argo profiling float dataset (with DOI), please visit https://library.ucsd.edu/dc/collection/bb4473712z

cdm_data_type = Other
VARIABLES:
WMO_ID
Project_ID
Station
Region
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (dbar)
temperature (Sea Water Temperature, degree_C)
salinity (Sea Water Salinity, pss)
sigma_theta (kg m-3)
chl_a (Chlorophyll, mg m-3)
... (34 more variables)


BioGeoChemical-Argo Float data from GO-BGC, SOCCOM and UW-MBARI, Latest Snapshot Archive

This data archive contains quality controlled data from BGC-Argo floats deployed by the Southern Ocean Carbon and Climate Observation and Modeling (SOCCOM) and  Global Ocean Biogeochemistry Array (GO-BGC) projects. Data for all floats within this archive were processed by the float data management team at the Monterey Bay Aquarium Research Institute (MBARI). This dataset contains the latest available snapshot archive. Each snapshot archive is assigned a unique DOI, and is hosted on the SOCCOM UCSD library digital collection. All snapshot archives of this dataset are available through the full GO-BGC & SOCCOM joint UCSD library digital collection.See the DOI and history attibutes for specific references for this snapshot. Float specific metadata, as well as raw and QC files from the near-real time dataset are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files). BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (https://usgodae.org/pub/outgoing/argo/dac/aoml/). NOTE: While delayed-mode quality control (and data adjustments based on comparisons to reference fields) is assessed across the array prior to the generation of each snapshot archive, all data is PROVIDED AS-IS. Be aware that INACCURACIES MAY BE PRESENT within the data. SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the data itself or the algorithms used in the generation of derived carbon parameters. It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.

cdm_data_type = Other
VARIABLES:
WMO_ID
mbariID
Station
region
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (dbar)
temperature (Sea Water Temperature, degree_C)
... (49 more variables)


BioGeoChemical-Argo Float data from SOCCOM and UW-MBARI, preliminary near real-time

Quality controlled data from the BGCArgo floats hosted on the MBARI website.  Includes all the SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) floats.  Float specific metadata and the raw data are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files).  BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (ftp://usgodae.org/pub/outgoing/argo/dac/aoml/).  NOTE: These data are served in NEAR REAL-TIME and are  PROVIDED AS-IS.  Be aware that INACCURACIES MAY BE PRESENT within the data. While automated quality control procedures are applied during near real-time processing, additional delayed mode quality control (and data adjustments based on comparisons to reference fields) is done at a minimum of twice per year per float.  SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the near real-time data itself or the algorithms used in the generation of derived carbon parameters.  It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.  For archived snapshots of the SOCCOM dataset (with DOI), please visit https://library.ucsd.edu/dc/collection/bb4473712z

cdm_data_type = Other
VARIABLES:
WMO_ID
mbariID
Station
region
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (dbar)
temperature (Sea Water Temperature, degree_C)
salinity (Sea Water Salinity, pss)
sigma_theta (kg m-3)
chl_a (Chlorophyll, mg m-3)
chl_a_corr (Chlorophyll, corrected, mg m-3)
... (33 more variables)


The Endurance Array is a multi-scaled array utilizing fixed and mobile assets to
observe cross-shelf and along-shelf variability in the coastal upwelling region
off the Oregon and Washington coasts. The array also provides an extensive
spatial footprint that encompasses a prototypical eastern boundary current
regime and connectivity with the Cabled Array. OOI Coastal Glider deployments
bridge the distances between the fixed sites of the Coastal Endurance Array and
allow for adaptive sampling of the coastal waters of Washington and Oregon.
This dataset contains raw Slocum glider data parsed directly from the native
glider file format. No corrections or other quality control algorithms have been
applied.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (45 more variables)


Chlorophyll Conc. monthly means, AFSC management regions

Timeseries of monthly sea surface temperature means for AFSC management regions generated from the NOAA/NCDC Blended Monthly Global Sea Surface Winds product. AFSC management regions are defined as: North Bering Sea - Waters in the Bering Sea north of 58 N latitude; South Bering Sea - Waters in the Bering Sea south of 58 N latitude; Western Aleutians - Waters between 177 E and the limits of EEZ on east from south of 55 N to the EEZ that is south of the Aleutians Islands; Central Aleutians - Waters between 177 W and 177 E from south of 55 N to the EEZ that is south of the Aleutians Islands; Eastern Aleutians - Waters between 170 W and 177 W from south of 55 N to the EEZ that is south of the Aleutians Islands; Western Gulf of Alaska - Waters between 159 W and 170 W from the Alaskan coast to the EEZ; Central Gulf of Alaska - Waters between 147 W and 159 W from the Alaskan coast to the EEZ; Eastern Gulf of Alaska - Waters between 132.667 W and 147 W from the Alaskan coast to the EEZ.

cdm_data_type = Other
VARIABLES:
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
north_bering_chl (Chlorophyll Conc, North Bering Sea, mg m-3)
south_bering_chl (Chlorophyll Conc, South Bering Sea, mg m-3)
west_aleutians_chl (Chlorophyll Conc, West Aleutians, mg m-3)
central_aleutians_chl (Chlorophyll Conc, Central Aleutians, mg m-3)
east_aleutians_chl (Chlorophyll Conc, East Aleutians, mg m-3)
west_gulf_chl (Chlorophyll Conc, West Gulf of Alaska, mg m-3)
central_gulf_chl (Chlorophyll Conc, Central Gulf of Alaska, mg m-3)
east_gulf_chl (Chlorophyll Conc, East Gulf of Alaska, mg m-3)
north_bering_chl_stdev (Standard Deviation, North Bering Sea, mg m-3)
south_bering_chl_stdev (Standard Deviation, South Bering Sea, mg m-3)
west_aleutian_chl_stdev (Standard Deviation, West Aleutians, mg m-3)
central_aleutian_chl_stdev (Standard Deviation, Central Aleutians, mg m-3)
east_aleutians_chl_stdev (Standard Deviation, East Aleutians, mg m-3)
west_gulf_chl_stdev (Standard Deviation, West Gulf of Alaska, mg m-3)
central_gulf_chl_stdev (Standard Deviation, Central Gulf of Alaska, mg m-3)
east_gulf_chl_stdev (Standard Deviation, East Gulf of Alaska, mg m-3)
... (8 more variables)

NOAA/NMFS/SWFSC/ERD and NOAA/NESDIS/CoastWatch West Coast Node


The Pioneer Array is located on the continental shelf and slope south of Martha's Vineyard. The shelf-slope area is home to a highly productive ecosystem, and coincident with a persistent ocean frontal system where heat, salt, nutrients and other properties are exchanged between the shelf and the deep ocean. Data from gliders operating over the shelf contribute to understanding of the frontal system while those over the slope provide information about mesoscale features that may impinge on the front. This dataset contains raw Slocum glider data parsed directly from the native glider file format. No corrections or other quality control algorithms have been applied.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
... (42 more variables)


A curated list of ERDDAP dataset IDs are associated with features that allow sorting into useful groupings.

cdm_data_type = Other
VARIABLES:
dataset_id
group_title
data_source (Agency Providing Satellite Data)
dataset_title
variable (Variable in Dataset)
sensor


Glider deployed near Calvert Island BC as part of the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to deployment location.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter_700 (700 nm wavelength backscatter, 1)
cdom (ppb)
chlorophyll (mg m-3)
conductivity (Sea Water Electrical Conductivity, S m-1)
density (Sea Water Density, kg m-3)
distance_over_ground (distance over ground flown since mission start, km)
heading (glider heading angle, rad)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
pitch (glider pitch angle, rad)
platform_meta (Platform Metadata, 1)
potential_density (water potential density, kg m-3)
potential_temperature (water potential temperature, Celsius)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, dbar)
... (37 more variables)


Glider deployed near Calvert Island BC in collaboration with the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to deployment location.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter_700 (700 nm wavelength backscatter, 1)
cdom (ppb)
chlorophyll (mg m-3)
conductivity (Sea Water Electrical Conductivity, S m-1)
density (Sea Water Density, kg m-3)
distance_over_ground (distance over ground flown since mission start, km)
heading (glider heading angle, rad)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (glider pitch angle, rad)
platform_meta (Platform Metadata, 1)
potential_density (water potential density, kg m-3)
potential_temperature (water potential temperature, Celsius)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
... (37 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (38 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
... (38 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
PAR (Photosynthetically Active Radiation, umol m-2 s-1)
pitch (Glider Vehicle Pitch Angle, degrees)
... (40 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (36 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
PAR (Photosynthetically Active Radiation, umol m-2 s-1)
... (41 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (45 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
... (42 more variables)


Global Temperature and Salinity Profile Programme (GTSPP) Data, 1985-present

The Global Temperature-Salinity Profile Programme (GTSPP) develops and maintains a global ocean temperature and salinity resource with data that are both up-to-date and of the highest quality. It is a joint World Meteorological Organization (WMO) and Intergovernmental Oceanographic Commission (IOC) program.  It includes data from XBTs, CTDs, moored and drifting buoys, and PALACE floats. For information about organizations contributing data to GTSPP, see http://gosic.org/goos/GTSPP-data-flow.htm .  The U.S. National Oceanographic Data Center (NODC) maintains the GTSPP Continuously Managed Data Base and releases new 'best-copy' data once per month.

WARNING: This dataset has a *lot* of data.  If you request too much data, your request will fail.
* If you don't specify a longitude and latitude bounding box, don't request more than a month's data at a time.
* If you do specify a longitude and latitude bounding box, you can request data for a proportionally longer time period.
Requesting data for a specific station_id may be slow, but it works.

*** This ERDDAP dataset has data for the entire world for all available times (currently, up to and including the September 2024 data) but is a subset of the original NODC 'best-copy' data.  It only includes data where the quality flags indicate the data is 1=CORRECT, 2=PROBABLY GOOD, or 5=MODIFIED. It does not include some of the metadata, any of the history data, or any of the quality flag data of the original dataset. You can always get the complete, up-to-date dataset (and additional, near-real-time data) from the source: https://www.nodc.noaa.gov/GTSPP/ .  Specific differences are:
* Profiles with a position_quality_flag or a time_quality_flag other than 1|2|5 were removed.
* Rows with a depth (z) value less than -0.4 or greater than 10000 or a z_variable_quality_flag other than 1|2|5 were removed.
* Temperature values less than -4 or greater than 40 or with a temperature_quality_flag other than 1|2|5 were set to NaN.
* Salinity values less than 0 or greater than 41 or with a salinity_quality_flag other than 1|2|5 were set to NaN.
* Time values were converted from "days since 1900-01-01 00:00:00" to "seconds since 1970-01-01T00:00:00".

See the Quality Flag definitions on page 5 and "Table 2.1: Global Impossible Parameter Values" on page 61 of
https://www.nodc.noaa.gov/GTSPP/document/qcmans/GTSPP_RT_QC_Manual_20090916.pdf .
The Quality Flag definitions are also at
https://www.nodc.noaa.gov/GTSPP/document/qcmans/qcflags.htm .

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory ID)
... (11 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
... (39 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (36 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (38 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (39 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
... (42 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
PAR (Photosynthetically Active Radiation, umol m-2 s-1)
... (40 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (45 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (36 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (38 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
... (38 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (45 more variables)


Iceberg Locations from USNIC, Antarctic, 2014 to Present, Weekly

U.S. National Ice Center (USNIC) is the global entity that names, tracks, and documents Antarctic icebergs that meet the criteria of 20 sqNM or greater, or 10 NM on its longest axis. Data are available from Nov 2014 to present and are updated weekly.

cdm_data_type = Point
VARIABLES:
Iceberg
length_nm
width_nm
latitude (degrees_north)
longitude (degrees_east)
Remarks
time (Iso Date, seconds since 1970-01-01T00:00:00Z)


International Arctic Buoy Programme meteorological and oceanographic buoys

The International Arctic Buoy Programme (IABP) maintais a network of data buoys in the entire Arctic Ocean to provide meteorological, sea ice and oceanographic data for real-time operational requirements and research purposes. Buoy data files are updated daily. Values provided are confined to surface temperature, atmospheric temperature, and barometric pressure when these values are available. All buoy files contain at least a date and position. Buoys that are no longer reporting remain available. PolarWatch harvests these data from https://iabp.apl.uw.edu/WebData/. See the IABP web page for more information https://iabp.apl.uw.edu

cdm_data_type = Point
VARIABLES:
time (Iso Date, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
bp (Atmospheric Pressure, mBars)
surface_temp (Surface Temperature, degree_C)
air_temp (Surface Air Temperature, degree_C)
has_bp (Has Barometric Pressure)
has_surface_temp (Has Surface Temperature)
has_air_temp (Has Air Temperature)
buoy_id
buoy_type
buoy_owner
logistics (Deployment Group)
hemisphere (Northern or Southern Hemisphere Deployment)
year
hour
minute
day_of_year


NDBC Standard Meteorological Buoy Data, 1970-present

The National Data Buoy Center (NDBC) distributes meteorological data from
moored buoys maintained by NDBC and others. Moored buoys are the weather
sentinels of the sea. They are deployed in the coastal and offshore waters
from the western Atlantic to the Pacific Ocean around Hawaii, and from the
Bering Sea to the South Pacific. NDBC's moored buoys measure and transmit
barometric pressure; wind direction, speed, and gust; air and sea
temperature; and wave energy spectra from which significant wave height,
dominant wave period, and average wave period are derived. Even the
direction of wave propagation is measured on many moored buoys. See
https://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.

The source data from NOAA NDBC has different column names, different units,
and different missing values in different files, and other problems
(notably, lots of rows with duplicate or different values for the same time
point). This dataset is a standardized, reformatted, and lightly edited
version of that source data, created by NOAA NMFS SWFSC ERD (email:
erd.data at noaa.gov). Before 2020-01-29, this dataset only had the data
that was closest to a given hour, rounded to the nearest hour. Now, this
dataset has all of the data available from NDBC with the original time
values. If there are multiple source rows for a given buoy for a given
time, only the row with the most non-NaN data values is kept. If there is
a gap in the data, a row of missing values is inserted (which causes a nice
gap when the data is graphed). Also, some impossible data values are
removed, but this data is not perfectly clean. This dataset is now updated
every 5 minutes.

This dataset has both historical data (quality controlled, before
2023-12-01T00:00:00Z) and near real time data (less quality controlled,
which may change at any time, from 2024-01-01T00:00:00Z on).

cdm_data_type = TimeSeries
VARIABLES:
station (Station Identifier)
... (19 more variables)


OBIS - ARGOS Satellite Tracking of Animals

Various species have been tracked using ARGOS PTT trackers since the early 1990's. These include Emperor, King and Adelie pengiuns, Light-mantled Sooty, Grey-headed and Black-browed albatrosses, Antarctic and Australian fur seals, Southern Elephant Seal and Blue and Humpback whales. Note that not all data for any species or locations is or will be exposed to OBIS. Geographic coverage is from Heard Island to the west and Macquarie Island to the east and several islands near the southern end of Chile. The data has been filtered to remove most but not all erroneous positions.

        DiGIR is an engine which takes XML requests for data and returns a data
subset stored as XML data (as defined in a schema). For more DiGIR
information, see http://digir.sourceforge.net/ ,
http://diveintodigir.ecoforge.net/draft/digirdive.html ,
and http://digir.net/prov/prov_manual.html .
A list of Digir providers is at
http://bigdig.ecoforge.net/wiki/SchemaStatus .

Darwin is the original schema for use with the DiGIR engine.

The Ocean Biogeographic Information System (OBIS) schema extends
Darwin. For more OBIS info, see http://www.iobis.org .
See the OBIS schema at http://www.iobis.org/tech/provider/questions .

Queries: Although OBIS datasets have many variables, most variables
have few values.  The only queries that are likely to succeed MUST
include a constraint for Genus= and MAY include constraints for
Species=, longitude, latitude, and time.

Most OBIS datasets return a maximum of 1000 rows of data per request.
The limitation is imposed by the OBIS administrators.

        Available Genera (and number of records): (error)

cdm_data_type = Point
VARIABLES:
longitude (degrees_east)
... (76 more variables)


Slocum gliders are small, free-swimming, unmanned vehicles that use changes in buoyancy to move vertically and horizontally through the water column in a saw-tooth pattern. They are deployed for days to several months and gather detailed information about the physical, chemical and biological processes of the world's oceans. The Slocum glider was designed and built by Teledyne Webb Research Corporation, Falmouth, MA, USA.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
c_battpos (commanded position pitch battery, inch)
c_de_oil_vol (commanded ballast pump oil volume, cc)
c_fin (commanded fin position, rad)
c_heading (commanded heading, rad)
c_thruster_on (commanded thruster on, %)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326, 1)
density (Sea Water Density, kg.m-3)
instrument_bpump (Slocum Glider G3 1000m oil pump, 1)
instrument_ctd (CTD Metadata, 1)
instrument_dmon (digital acoustic monitoring instrument, 1)
instrument_echosounder (853es, 1)
instrument_flight_commanded (flight computer commanded, 1)
instrument_flight_measured (flight computer measured, 1)
instrument_fluorometer (ECO Triplet, 1)
instrument_oxygen_optode (oxygen 4381, 1)
... (57 more variables)


Data usage extracted from the PolarWatch ERDDAP usage logs.

cdm_data_type = Other
VARIABLES:
dataset_id (ERDDAP Dataset ID)
data_volume (Total Monthly Data Volume, Mb)
requests (Total Monthly Requests for Data)
nc_req (Monthly Requests for Data in NetCDF Format)
dods_req (Monthly OpenDAP Requests)
text_req (Monthly Requests for Data in Text Format)
metadata_req (Monthly Requests for Metadata)
graph_req (Monthly Requests for Graphics)
json_req (Monthly Requests for Data in JSON Format)
mat_req (Monthly Requests for Data in MATLAB Format)
images_req (Monthly Requests for Images)
file_downloads_req (Monthly Requests to Download Tiles)
other_req (Monthly Requests Data in Other Formats)
nc_volume (Monthly Data Volume in NetCDF Format, Kb)
dods_volume (Monthly Data Volume in Dods Format, Kb)
text_volume (Monthly Data Volume in Text Format, Kb)
metadata_volume (Monthly Data Volume for Metadata, Kb)
graph_volume (Monthly Data Volume for Graphs, Kb)
json_volume (Monthly Data Volume in Json
            format, Kb)
mat_volume (Monthly Data Volume in MATLAB Format, Kb)
images_volume (Monthly Data Volume for Images, Kb)
file_downloads_volume (Monthly Data Volume for Whole File Downloads Size, Kb)
other_size (Monthly Data Volume Other File Types, Kb)
requests_redirect (Total Redirected Requests)
nc_req_redirect (Redirected Requests for NetCDF Files)
dods_req_redirect (Redirected Dods Requests)
text_req_redirect (Redirected Requests for Text Files)
... (10 more variables)


Research Ship Healy Underway Meteorological Data, Quality Controlled

Research Ship Healy Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (22 more variables)


Research Ship Laurence M. Gould Underway Meteorological Data, Quality Controlled

Research Ship Laurence M. Gould Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (21 more variables)


The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on  how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, dbar)
... (41 more variables)


Glider deployed to perform cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island.  This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on  how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
... (49 more variables)


Glider deployed to perform cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island.  This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad�lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad�lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on  how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
... (49 more variables)


The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
... (42 more variables)


KOPRI is an international collaboration between the Korean Polar Research Institute and Rutgers University to deploy gliders in the Amundsen polynya.  The ice sheets surrounding the Amundsen Sea polynia are experiencing some of the highest melting rates in the world.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, dbar)
pressure_qc (pressure Quality Flag)
... (40 more variables)


Glider deployed as part of the LTER program to survey the Palmer canyon.  The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on  how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
... (42 more variables)


The purpose of this glider mission is to take hourly dives to 100m to measure the photo-physiological response of a phytoplankton population over Palmer Deep.  The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on  how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (43 more variables)


The purpose of this glider mission is to take hourly dives to 100m to measure the photo-physiological response of a phytoplankton population over Palmer Deep. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (43 more variables)


KOPRI is an international collaboration between the Korean Polar Research Institute and Rutgers University to deploy gliders in the Amundsen polynya.  The ice sheets surrounding the Amundsen Sea polynya are experiencing some of the highest melting rates in the world.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, dbar)
pressure_qc (pressure Quality Flag)
... (40 more variables)


The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station south to Rothera Station, mapping the presence of modified upper circumpolar water on the West Antarctic Peninsula shelf. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.  This dataset includes temperature and salinity profiles only.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
... (52 more variables)


The purpose of this glider mission is to take cross
            sections of temperature and salinity in the continental shelf near
            Palmer Station. The Long Term Ecological Research (LTER) program
            in Antarctica is a long term study focused on understanding how
            the marine system regulates the ecology of the West Antarctic
            Peninsula.  The project is focused on how the ecology is changing
            given the West Antarctic Peninsula is the fastest winter warming
            place on Earth.  This dataset includes temperature and salinity
            profiles only.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
... (54 more variables)


Rutgers University will deploy and operate a glider in the Southeast Gulf of Alaska for about a 60-day deployment(s) in July-September 2022 to assess seawater pH and other oceanographic measurements including temperature, salinity, optical properties (i.e., chlorophyll, CDOM, backscatter), and dissolved oxygen. The glider will be deployed from a small vessel off the coast of Sitka, AK and conduct a zig-zag transect southward to Ketchikan (depending on currents), then return north to Sitka for a planned recovery by the R/V Rachel Carson.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
beta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)
cdom (ppb)
chlorophyll_a (ug L-1)
commanded_alt_time (c_alt_time, sec)
commanded_climb_target_depth (c_climb_target_depth, m)
commanded_de_oil_vol (c_de_oil_vol, cc)
commanded_dive_target_depth (c_dive_target_depth, m)
commanded_fin (c_fin, rad)
commanded_heading (c_heading, rad)
commanded_science_send_all (c_science_send_all, bool)
commanded_thruster_on (c_thruster_on, %)
commanded_weight_drop (c_weight_drop, bool)
commanded_wpt_lat (c_wpt_lat, lat)
commanded_wpt_lon (c_wpt_lon, lon)
commanded_wpt_x_lmc (c_wpt_x_lmc, m)
... (143 more variables)


Rutgers University will deploy and operate a glider in the Southeast Gulf of Alaska for about a 60-day deployment(s) in July-September 2022 to assess seawater pH and other oceanographic measurements including temperature, salinity, optical properties (i.e., chlorophyll, CDOM, backscatter), and dissolved oxygen. The glider will be deployed from a small vessel off the coast of Sitka, AK and conduct a zig-zag transect southward to Ketchikan (depending on currents), then return north to Sitka for a planned recovery by the R/V Rachel Carson. Delayed mode dataset.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
beta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)
cdom (ppb)
chlorophyll_a (ug L-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
density (Sea Water Density, kg m-3)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcdslc (ECO Triplet Puck)
instrument_optode (Oxygen Optode)
instrument_ph (Deep ISFET Ocean pH Sensor)
lat_uv (Depth-averaged Latitude)
lon_uv (Depth-averaged Longitude)
oxygen_concentration_corrected (Dissolved Oxygen, micromoles L-1)
oxygen_concentration_raw (Dissolved Oxygen, micromoles L-1)
oxygen_saturation_corrected (Oxygen Saturation, percent)
oxygen_saturation_raw (Oxygen Saturation, percent)
... (27 more variables)


This project integrated an Acoustic Zooplankton and Fish Profiler (AZFP) multi-frequency echo sounder into a Slocum Webb G2 glider. The AZFP is complemented with existing glider sensors including a CTD, a WET Labs BB2FL ECO puck configured for simultaneous chlorophyll fluorescence (phytoplankton biomass) and optical backscatter measurements, and an Aanderaa Optode for measuring dissolved oxygen. This glider deployment is located in the polynya of Terra Nova Bay (western Ross Sea, Antarctica), and is focused on investigating relationships between phytoplankton-zooplankton-fish distributions and the physical drivers of zooplankton and silverfish species and size distributions.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
... (53 more variables)


Glider deployment to map the physics, optics and acoustics in the region adjacent to Palmer Station. The goal is measure the mixing, phytoplankton, and krill in a region of high foraging activity for penguins and whales. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula.  The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.  This dataset includes measurements of temperature, salinity, chlorophylla, optical backscatter, CDOM and krill concentrations.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
azfp_file_offset (sci_azfp_file_offset, nodim)
azfp_pause_signal (sci_azfp_pause_signal, bool)
azfp_run_state (sci_azfp_run_state, nodim)
beta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)
cdom (ppb)
chlorophyll_a (ug L-1)
commanded_alt_time (c_alt_time, sec)
commanded_climb_target_depth (c_climb_target_depth, m)
commanded_de_oil_vol (c_de_oil_vol, cc)
commanded_dive_target_depth (c_dive_target_depth, m)
commanded_fin (c_fin, rad)
commanded_heading (c_heading, rad)
commanded_science_send_all (c_science_send_all, bool)
... (129 more variables)

Rutgers University,Virginia Institute of Marine Science


The short surface ocean residence times of 1-2 days over Palmer Deep is in conflict with the prevailing hypotheses that local growth support phytoplankton at the base of the food web in these biological hotspots.  Instead, the implication is that horizontal dynamics are likely more important to maintaining these biological hotspots than local upwelling. However, coincident measures of phytoplankton, prey fields, and predator locations in their advective context have not been made to establish the ecological importance of horizontal flow.  In this project, we will simultaneously sample across the entire food web from the phytoplankton and prey fields to the top predators to understand the ocean features that support life in these polar systems.  For the first time in this region, we will integrate these glider deployed sensors with moored, remote sensed and small boat platforms to simultaneously map phytoplankton blooms, krill aggregations, and top predator foraging relative to dynamic ocean features. This real-time low-resolution dataset contains temperature, salinity, chlorophyll_a, CDOM, beta_700nm and oxygen profiles.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
azfp_file_offset (sci_azfp_file_offset, nodim)
azfp_pause_signal (sci_azfp_pause_signal, bool)
azfp_run_state (sci_azfp_run_state, nodim)
beta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)
cdom (ppb)
chlorophyll_a (ug L-1)
commanded_alt_time (c_alt_time, sec)
commanded_climb_target_depth (c_climb_target_depth, m)
commanded_de_oil_vol (c_de_oil_vol, cc)
... (143 more variables)

Rutgers University,University of Delaware,University of Alaska Fairbanks


The goal of this project is to characterize the dynamics of a buoyant ocean front formed by meltwater along the Antarctic Peninsula.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
beta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)
cdom (ppb)
chlorophyll_a (ug L-1)
commanded_alt_time (c_alt_time, sec)
commanded_ballast_pumped (c_ballast_pumped, cc)
commanded_climb_target_depth (c_climb_target_depth, m)
commanded_dive_target_depth (c_dive_target_depth, m)
commanded_fin (c_fin, rad)
commanded_heading (c_heading, rad)
commanded_weight_drop (c_weight_drop, bool)
commanded_wpt_lat (c_wpt_lat, lat)
commanded_wpt_lon (c_wpt_lon, lon)
commanded_wpt_x_lmc (c_wpt_x_lmc, m)
commanded_wpt_y_lmc (c_wpt_y_lmc, m)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd41cp_timestamp (sci_ctd41cp_timestamp, seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dr_latitude (m_lat, degrees decimal minutes)
... (101 more variables)


Sea Ice Pressure Ridge Sail Height from DMS IceBridge Imagery, Arctic, 25km, from 2010 - 2018 Airborne Surveys

This data file contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Sail-Height Product. The Arctic Sail-Height Product is derived from high-resolution Digital Mapping System (DMS) imagery of sea ice pressure ridges acquired during annual, low-elevation NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge observations were acquired between March and May, 2010 - 2018. Statistics for pressure ridge sails are extracted per image, then are further processed into arithmetic averages for 25km along-track segments for each aircraft flight line.

        Users are asked to cite the following publication whenever these data are used: Duncan, K., Farrell, S., Connor, L., Richter-Menge, J., Hutchings, J., & Dominguez, R. (2018). High-resolution airborne observations of sea-ice pressure ridge sail height. Annals of Glaciology, 59(76), 137-147. doi:10.1017/aog.2018.2

        Point of Contact: Laurence.Connor@noaa.gov

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Number_of_Images
Number_of_sail_height_measurements
Mean_sail_height (m)
Modal_sail_height (m)
Maximum_sail_height (m)
Sail_height_standard_deviation (m)
Sail_height_5th_percentile (m)
Sail_height_25th_percentile (m)
Sail_height_75th_percentile (m)
Sail_height_95th_percentile (m)
Sail_height_99th_percentile (m)
DMS_First_Image_Filename
DMS_Last_Image_Filename


Sea Ice Surface Elevation from IceBridge ATM LIDAR, Arctic, from 2009 to 2018 Airborne Surveys

This dataset contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Gridded Surface Elevation Product. The Gridded Surface Elevation Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019. Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of elevation while still containing enough point measurements for robust statistical calculations. Citation: Users are asked to cite the following publication whenever these data are used:
            Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.
        Point of Contact: Laurence.Connor@noaa.gov
        Data Product Webpage: https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
Along_track_Distance (meters)
Across_Track_Grid_Cell_Number (Cross-Track Grid Cell Number)
longitude (degrees_east)
latitude (degrees_north)
Elevation (meters)
Standard_Deviation (meters)
Num_Pts (Number of Points)


Sea Ice Surface Roughness from IceBridge ATM LIDAR, Arctic, 10km, from 2009 to 2018 Airborne Surveys

This data file contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Surface Roughness Product. The Arctic Surface Roughness Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019.
            Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of sea ice surface roughness while still containing enough point measurements for robust statistical calculations. Statistics are computed on the distribution of sea ice surface roughness for 10 km along-track segments, for each aircraft flight line.

            Users are asked to cite the following publication whenever these data are used: Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.

            Point of Contact: Laurence.Connor@noaa.gov

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Mean_surface_roughness (Meters)
Maximum_surface_roughness (Meters)
Surface_roughness_5th_percentile (Meters)
Surface_roughness_25th_percentile (Meters)
Surface_roughness_75th_percentile (Meters)
Surface_roughness_95th_percentile (Meters)
Surface_roughness_99th_percentile (Meters)


Sea Surface Temperature, monthly means, AFSC management regions

Timeseries of monthly sea surface temperature means for AFSC management regions generated from the NOAA/NCDC Blended Monthly Global Sea Surface Winds product. AFSC management regions are defined as:  North Bering Sea - Waters in the Bering Sea north of 58 N latitude; South Bering Sea - Waters in the Bering Sea south of 58 N latitude; Western Aleutians - Waters between 177 E and the limits of EEZ on east from south of 55 N to the EEZ that is south of the Aleutians Islands; Central Aleutians - Waters between 177 W and 177 E from south of 55 N to the EEZ that is south of the Aleutians Islands; Eastern Aleutians - Waters between 170 W and 177 W from south of 55 N to the EEZ that is south of the Aleutians Islands; Western Gulf of Alaska - Waters between 159 W and 170 W from the Alaskan coast to the EEZ; Central Gulf of Alaska - Waters between 147 W and 159 W from the Alaskan coast to the EEZ; Eastern Gulf of Alaska - Waters between 132.667 W and 147 W from the Alaskan coast to the EEZ.

cdm_data_type = Other
VARIABLES:
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
north_bering_sst (SST, North Bering Sea, degree_C)
south_bering_sst (SST, South Bering Sea, degree_C)
west_aleutians_sst (SST, West Aleutians, degree_C)
central_aleutians_sst (SST, Central Aleutians, degree_C)
east_aleutians_sst (SST, East Aleutians, degree_C)
west_gulf_sst (SST, West Gulf of Alaska, degree_C)
central_gulf_sst (SST, Central Gulf of Alaska, degree_C)
east_gulf_sst (SST, East Gulf of Alaska, degree_C)
north_bering_sst_stdev (Standard Deviation, North Bering Sea, degree_C)
south_bering_sst_stdev (Standard Deviation, South Bering Sea, degree_C)
west_aleutian_sst_stdev (Standard Deviation, West Aleutians, degree_C)
central_aleutian_sst_stdev (Standard Deviation, Central Aleutians, degree_C)
east_aleutians_sst_stdev (Standard Deviation, East Aleutians, degree_C)
west_gulf_sst_stdev (Standard Deviation, West Gulf of Alaska, degree_C)
central_gulf_sst_stdev (Standard Deviation, Central Gulf of Alaska, degree_C)
east_gulf_sst_stdev (Standard Deviation, East Gulf of Alaska, degree_C)
... (8 more variables)

NOAA/NMFS/SWFSC/ERD and NOAA/NESDIS/CoastWatch West Coast Node


The Silbo Challenger mission is a partnership between industry and academia which will exercise a number of new Slocum glider features and long term deployment stratgies including shoreside piloting tools, glider firmware, battery design, thruster design, hull design and low cost deployment and recovery in support of open ocean deployments.  Temperature and salinity profiles will also be submitted to the IOOS National Data Assembly Center which will transmit the profiles to the Global Telecommunication System for assimiliation into ocean forecasting models.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (51 more variables)


Spray glider profile data from Woods Hole Oceanographic Institution. (This deployment supported by NOAA.)

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (latitude Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (longitude Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, dbar)
pressure_qc (pressure Quality Flag)
profile_lat_qc (profile_lat Quality Flag)
... (39 more variables)


The purpose of this glider mission is to do cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island.  This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
platform_meta (Platform Metadata, 1)
... (45 more variables)


The purpose of this glider mission is to do station keeping to resolve the time series of Palmer Deep within the operating CODAR fields off of Anvers Island.  This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad�lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad�lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
lat_qc (lat Quality Flag)
lat_uv (Depth-averaged Latitude, degrees_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (lon Quality Flag)
lon_uv (Depth-averaged Longitude, degrees_east)
lon_uv_qc (lon_uv Quality Flag)
... (46 more variables)


The goal of this project is to characterize the dynamics of a buoyant ocean front formed by meltwater along the Antarctic Peninsula.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
bsipar_par (sci_bsipar_par, uE/m^2sec)
bsipar_timestamp (sci_bsipar_timestamp, seconds since 1970-01-01T00:00:00Z)
commanded_alt_time (c_alt_time, sec)
commanded_ballast_pumped (c_ballast_pumped, cc)
commanded_climb_target_depth (c_climb_target_depth, m)
commanded_dive_target_depth (c_dive_target_depth, m)
commanded_fin (c_fin, rad)
commanded_heading (c_heading, rad)
commanded_science_send_all (c_science_send_all, bool)
commanded_thruster_on (c_thruster_on, %)
commanded_weight_drop (c_weight_drop, bool)
commanded_wpt_lat (c_wpt_lat, lat)
commanded_wpt_lon (c_wpt_lon, lon)
commanded_wpt_x_lmc (c_wpt_x_lmc, m)
commanded_wpt_y_lmc (c_wpt_y_lmc, m)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd41cp_timestamp (sci_ctd41cp_timestamp, seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
... (137 more variables)


Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters.  Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited.  Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys.  We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
conductivity (Sea Water Electrical Conductivity, S.m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg.m-3)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
platform_meta (Platform Metadata, 1)
... (36 more variables)

University of Alaska Fairbanks, College of Fisheries and Ocean Sciences