nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


NOAA CoastWatch, Sea Surface Height Anomalies and Geostrophic Currents from Altimetry, Global, 2017-present, EXPERIMENTAL

The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea Level Anomalies, m)
ugos (Absolute Geostrophic Velocity: Zonal Component, m s-1)
vgos (Absolute Geostrophic Velocity: Meridian Component, m s-1)

NOAA/NESDIS Center for Satellite Applications and Research


Normalized Radar Cross Section, SAR Composite, Near Real-Time, 1km, North Pole, Daily

This file contains a composite of Synthetic Aperture Radar (SAR) Normalized Radar Cross Section (NRCS) images covering the Arctic for a period of one day. The files are produced in SAROPS (SAR Operational Product System) by the Water Surface Conditions/Sea Surface Roughness group within the NOAA STAR Satellite Oceanography and Climatology Division. Data from the following C-Band SAR systems are included: Sentinel-1A/B, RADARSAT-2, and RADARSAT Constellation Mission. NRCS values have been calibrated with values given by the SAR data provider. Daily coverage may vary due to limitations in data availability.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][y][x]):
NRCS (Normalized Radar Cross Section, 1)


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)


Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite)

This dataset has Level 3, Standard Mapped Image, 4km, photosynthetically available radiation (PAR) data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m-2 day-1)


Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (8 Day Composite)


Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (Monthly Composite)


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 Concentration, AMSR2/VIIRS, Antarctic, 1km, Blended, UW-CIMSS, 2023-present, Daily

This is a Blended Sea Ice Concentration product that combines clear-sky Visible and Infrared Imager/Radiometer Suite (VIIRS) ice concentration from NOAA-20 with that comes from the AMSR2 NASA Team-2 10 km product. The output is remapped into 1-km EASE2 grid cells with a nominal resolution of at least 5-km. The NDE cloud mask is used to screen out cloudy VIIRS pixels. When the cloud mask for a data point is determined to be confidently clear, the output concentration in the blended product is 100% VIIRS. Otherwise, the Best Linear Unbiased Estimator equation is used to determine the output concentration (see https://www.sciencedirect.com/topics/mathematics/linear-unbiased-estimator#:~:text=Under%20assumptions%20V%20and%20VI,(Gauss%E2%80%93Markov%20theorem for more information on method).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][cols][rows]):
IceConc (Sea Ice Concentration, Blended AMSR2 and VIIRS, percent)

Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison


Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-present, Daily


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Northern Hemisphere, 25km, Science Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc (Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration temporal interpolation flags)

NSIDC > National Snow and Ice Data Center


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Northern Hemisphere, 25km, Science Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Southern Hemisphere, 25km, Science Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperatures at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration temporal interpolation flags)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Southern Hemisphere, 25km, Science Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Northern Hemisphere, 25km, Science
Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)
cdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)
cdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)
cdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Northern Hemisphere, 25km, Science Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at NSIDC. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
cdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)
cdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Southern Hemisphere, 25km, Science
		Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
cdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)
cdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Southern Hemisphere, 25km, Science
Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at NSIDC. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)
cdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)
cdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)
cdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Northern Hemisphere, 25km, Near Real-Time, 2021-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers, currently the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to extend a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from the end of the NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration Version 4 dataset which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G10016/versions/2/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is slightly different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc (Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration temporal interpolation flags)

NSIDC > National Snow and Ice Data Center


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Northern Hemisphere, 25km, Near Real-Time, 2021-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G10016/versions/2/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is slightly different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Southern Hemisphere, 25km, Near Real-Time, 2021-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration temporal interpolation flags)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Southern Hemisphere, 25km, Near Real-Time, 2021-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP from NSIDC. Note that the data format available through PolarWatch is slightly different from the NSIDC FTP NetCDF files. The PolarWatch data server requires storing the projection information as global attributes with the prefix grid_mapping instead of as a projection variable and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Northern Hemisphere, 25km, Near Real-Time, 2024-Present, Daily

This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at NSIDC. This product is designed to provide an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)
cdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)
cdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)
cdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Northern Hemisphere, 25km, Near Real-Time, 2024-Present, Monthly

This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)
cdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Southern Hemisphere, 25km, Near Real-Time, 2024-Present, Daily

This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)
cdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)
cdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)
cdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Southern Hemisphere, 25km, Near Real-Time, 2024-Present, Monthly


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 Ice Thickness and Multi-variable Extended AVHRR Polar Pathfinder APP-X NCEI Climate Data Record V2, Arctic, 1982-Present, Twice Daily

summary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][rows][columns]):
cdr_sea_ice_thickness (NOAA CDR of sea ice thickness, m)
cdr_surface_temperature (NOAA CDR of surface skin temperature, degree_K)
cdr_surface_albedo (NOAA CDR of surface broadband albedo, 1)
cdr_surface_downwelling_shortwave_flux (NOAA CDR of surface downwelling shortwave radiative flux, W m-2)
cdr_surface_downwelling_longwave_flux (NOAA CDR of surface downwelling longwave radiative flux, W m-2)
cdr_surface_upwelling_shortwave_flux (NOAA CDR of surface upwelling shortwave radiative flux, W m-2)
cdr_surface_upwelling_longwave_flux (NOAA CDR of surface upwelling longwave radiative flux, W m-2)
cdr_cloud_binary_mask (NOAA CDR of cloud mask, 1)
cdr_toa_net_downward_shortwave_flux (NOAA CDR of TOA net downward shortwave radiative flux, W m-2)
cdr_toa_outgoing_shortwave_flux (NOAA CDR of TOA outgoing shortwave radiative flux, W m-2)
cdr_toa_outgoing_longwave_flux (NOAA CDR of TOA outgoing longwave radiative flux, W m-2)
surface_type (1)
cloud_particle_phase (1)
cloud_particle_radius (microns)
cloud_optical_depth (1)
cloud_top_pressure (hPa)
cloud_top_temperature (K)
cloud_type (1)
surface_shortwave_cloud_radiative_forcing (W m-2)
surface_longwave_cloud_radiative_forcing (W m-2)


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2010, Science Quality (Monthly Composite)

Aviso Absolute Sea Surface Height is the Sea Surface Height Deviation plus the long term mean dynamic height. This is Science Quality data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
ssh (Absolute Sea Surface Height, m)
sshd (Sea Surface Height Deviation, m)


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2010, Science Quality (Monthly Composite), Lon+/-180


Sea Surface Height, Absolute, Aviso, 0.25 degrees, Global, 1992-2012, Science Quality (1 Day Composite), Lon+/-180


Sea Surface Height, Aviso, Global, Science Quality (1 Day Composite)

Aviso Absolute Sea Surface Height is the Sea Surface Height Deviation plus the long term mean dynamic height. This is Science Quality data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
ssh (Sea Surface Height, m)
sshd (Sea Surface Height Deviation, m)


Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, 3 Day Composite

Sea Surface Salinity - Near Real Time - Miras SMOS 3-Day Mean. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release "https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sss (Sea Surface Salinity, PSU)
sss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)


Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, 3 Day Composite, Lon0360


Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, Daily

Sea Surface Salinity - Near Real Time - Miras SMOS Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2 swath Network Common Data Format (NetCDF) files (currently V6.62; see release "https://earth.esa.int/documents/10174/1854503/SMOS-Level-2-Ocean-Salinity-v662-release-note" ). There are two SSS variables in V6.62 L2 NetCDF files, SSS_corr (corrected for land-sea contamination) and SSS_uncorr. The CoastWatch L3 product ingests the SSS_corr  with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sss (Sea Surface Salinity, PSU)
sss_dif (SMOS Sea Surface Salinity minus World Ocean Atlas Value, PSU)
l2_time (Time from L2 files, seconds since 1970-01-01T00:00:00Z)
l2_lat (Latitude from L2 files, degrees_north)
l2_lon (Longitude from L2 files, degrees_north)


Sea Surface Salinity, Miras SMOS, Near Real-Time, Global 0.25°, 2010-present, Daily, Lon0360


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


Sea-Surface Temperature, NOAA ACSPO NOAA-20 VIIRS CoastWatch Co-gridded 4km Daily (degrees C)

Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visible and Infrared Imager/Radiometer Suite (VIIRS) sensor

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)