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

Summary:
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

Summary:
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)

NSIDC > National Snow and Ice Data Center


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

Summary:
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

Summary:
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

Summary:
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 Grid for AMSR-2 products from NOAA CoastWatch, Antarctic, 10km

Summary:
GCOM Seaice Southern Hemisphere Products

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [rows][cols]):
latitude (degrees_north)
longitude (degrees_east)

DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA


Sea Ice Grid for AMSR-2 products from NOAA CoastWatch, Arctic, 10km

Summary:
GCOM Seaice Products. Department of Commerce (DOC)/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations,     NESDIS, NOAA data from https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggNP06.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [rows][cols]):
latitude (degrees_north)
longitude (degrees_east)


Sea Ice Lat-Lon Grid, OSI SAF EUMETSAT, Antarctic, Polar Stereographic, 10km

Summary:
The daily analysis of sea ice concentration is obtained from operation satellite images of the polar regions. It is based on atmospherically corrected signal and a carefully selected sea ice concentration algorithm. This product is freely available from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [yc][xc]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Sea Ice Lat-Lon Grid, OSI SAF EUMETSAT, Arctic, Polar Stereographic, 10km

Summary:
This is the coordinating geospatial grid for the OSI SAF northern hemisphere polar stereographic dataset(ERDDAP ID: eumetsat_osisaf_ice_conc_nh_ps.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [yc][xc]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


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

Summary:
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)

Summary:
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)

Summary:
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

Summary:
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

Summary:
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, NOAA ACSPO NOAA-20 VIIRS CoastWatch Co-gridded 4km Daily (degrees C)

Summary:
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)


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

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visi                                      ble 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)


Sea-Surface Temperature, NOAA Geo-polar Blended Analysis Night Only, GHRSST, Near Real-Time, Global 5km, 2002-Present, Daily (degree C)

Summary:
Analyzed blended sea surface temperature over the global ocean using night only input data. An SST estimation scheme which combines multi-satellite retrieva
ls of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST analysis provides
 a daily gap-free map of the foundation sea surface temperature at 0.05Âº spatial resolution. Note 2002-2016 is a reanalysis.  2017-present is near real-time processing.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
analysis_error (estimated error standard deviation of analysed_sst, kelvin)
mask (sea/land/ice bit mask)
sea_ice_fraction (1)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2006, Science Quality (8 Day Composite)

Summary:
This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m Wind Speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite)


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite)

Summary:
This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite)

Summary:
This dataset contains monthly composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite)

Summary:
This dataset contains 8-day-composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite)

Summary:
This dataset contains monthly composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, VIIRS NOAA-20, Alaska, 750m, 2020-present, Science Quality Daily

Summary:
Daily global sea surface temperature produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from the Visible and Infrared Imager/Radiometer Suite (VIIRS) NOAA-20 sensor. The data were processed by the Advanced Clear-Sky Processor for Oceans (ACSPO).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (degree_C)


Suspended Particulate Matter (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily

Summary:
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
spm (Suspended Particulate Matter, mg l-1)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)

Summary:
ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
altitude (m)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude 0 to 360), (Ice Sheet Surface)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180

Summary:
NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180

Summary:
NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180

Summary:
NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180

Summary:
NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180

Summary:
NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


X - Experimental LaRa (LaserRadar) snow depth 5 year mean using AWI algorithm, Arctic, 25km, 2018-2023.

Summary:
LaRa (LaserRadar) snow depth 5 year mean using ESA algorithm, Arctic, 25km, 2018-2023.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
LaRa_sd_5yr (LaRa Snow Depth 5yr mean, meter)
grid_lat
grid_lon


X - Experimental LaRa (LaserRadar) snow depth 5 year mean using ESA algorithm, Arctic, 25km, 2018-2023.


X- Experimental Sea Ice Classification, SAR Composite, Near Real-Time, 1km, North Pole, Daily

Summary:
This file contains a composite of Synthetic Aperture Radar (SAR) derived sea ice classification covering the Arctic for a period of one day. The files are produced in SAROPS (SAR Operational Product System) by the Water Surface Conditions science team within the NOAA STAR Satellite Oceanography and Climatology Division. Data from the following C-Band SAR systems are included: Sentinel-1, RADARSAT-2, and RADARSAT Constellation Mission. Sea ice classification values represent concentration up to 80%, and greater than 80%. Daily coverage varies depending on SAR acquisitions.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][y][x]):
SIC (Classified sea ice concentration)


X-experimental - Particulate Organic Carbon in Ocean Surface Water, MODIS, 9km, NASA SMI, Stramski 2022

Summary:
Particulate Organic Carbon in Ocean Surface Water, MODIS Aqua, 9km, NASA Standard Mapped Image (SMI), Stramski 2022

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)
poc_stdev (Standard Deviation for Particulate Organic Carbon, mg m^-3)
poc_var (Variance for Particulate Organic Carbon, mg m^-3)
poc_nobs (Number Particulate Organic Carbon of Observations, count)


X-experimental - Particulate Organic Carbon in Ocean Surface Water, SeaWiFS, 9km, NASA SMI, Stramski 2022

Summary:
Particulate Organic Carbon in Ocean Surface Water, Sea-Wide Field-of-View Sensor (SeaWiFS), 9km, NASA Standard Mapped Image (SMI), Stramski 2022

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)
poc_stdev (Standard Deviation for Particulate Organic Carbon, mg m^-3)
poc_var (Variance for Particulate Organic Carbon, mg m^-3)
poc_nobs (Number Particulate Organic Carbon of Observations, count)


X-experimental - Particulate Organic Carbon in Ocean Surface Water, VIIRS SNPP, 9km, NASA SMI, Stramski 2022

Summary:
Particulate Organic Carbon in Ocean Surface Water, VIIRS SNPP, Level-3, NASA Standard Mapped Image (SMI), Stramski 2022

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)
poc_stdev (Standard Deviation for Particulate Organic Carbon, mg m^-3)
poc_var (Variance for Particulate Organic Carbon, mg m^-3)
poc_nobs (Number Particulate Organic Carbon of Observations, count)


X-Experimental Chlorophyll, S-NPP VIIR, Alaska, Daily

Summary:
Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


X-Experimental Far Red Remote Sensing Reflectance (745nm 862nm), S-NPP VIIR, Alaska, Daily

Summary:
Ocean color products include remote sensing reflectance at 745nm and 862nm, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_745 (Remove Sensing Reflectance 745nm, sr^-1)
Rrs_862 (Remove Sensing Reflectance 862nm, sr^-1)
par (Photosynthetically Available Radiation, sr^-1)
kd_490 (Diffuse Attenuation Coefficient at 490nm, m-1)
kd_par (Diffuse Attenuation Coefficient for PAR, m-1)


X-Experimental POC from NOAA S-NPP VIIRS Source Data

Summary:
Particulate Organic Carbon in Ocean Surface Water, Sea-Wide Field-of-View Sensor (SeaWiFS), 9km, NASA Standard Mapped Image (SMI), Stramski 2022

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)
Rrs_443 (Remote Sensing Reflectance at 443 nm, sr^-1)
Rrs_486 (Remote Sensing Reflectance at 486 nm, sr^-1)
Rrs_551 (Remote Sensing Reflectance at 551 nm, W m^-2 um^-1 sr^-1)
Rrs_510v (Virtual Remote Sensing Reflectance at 510 nm, W m^-2 um^-1 sr^-1)


X-Experimental Remote Sensing Reflectance, S-NPP VIIR, Alaska, Daily

Summary:
Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_410 (SNPP Remote Sensing Reflectance at 410 nm, sr^-1)
Rrs_443 (Remove Sensing Reflectance 443nm, sr^-1)
Rrs_486 (Remove Sensing Reflectance 486nm, sr^-1)
Rrs_551 (Remove Sensing Reflectance 551nm, sr^-1)
Rrs_638 (Remove Sensing Reflectance 638nm)
Rrs_671 (Remove Sensing Reflectance 671nm, sr^-1)


Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Antarctic, 25km, Science Quality, 1978-2019, Daily

Summary:
Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID:nsidcG02202v4sh1day. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4sh1day.graph. Version 3 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
seaice_conc_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_cdr (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_cdr (Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_cdr (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)
goddard_merged_seaice_conc (Goddard Edited Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, Goddard Edited, 1)
goddard_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)
goddard_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)

NSIDC > National Snow and Ice Data Center, NOAA


Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Antarctic, 25km, Science Quality, 1978-2019, Monthly

Summary:
Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4shmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4shmday.graph. Version 3 Summary: 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 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 processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS).  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 1987 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 input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. 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]):
seaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)
goddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, Goddard Edited, 1)
goddard_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)
goddard_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)


Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Arctic, 25km, Science Quality, 1978-2019, Daily

Summary:
Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4nh1day. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nh1day.graph. Version 3 Summary: This data set NOAA/NSIDC Sea Ice Concentration CDR v3 (g02202) 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 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 processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS).  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 1987 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 input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. 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]):
seaice_conc_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_cdr (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_cdr (Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_cdr (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)
goddard_merged_seaice_conc (Goddard Edited Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)
goddard_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)
goddard_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)


Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Arctic, 25km, Science Quality, 1978-2019, Monthly

Summary:
Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4nhmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nhmday.graph. Version 3 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
seaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)
goddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)
goddard_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)
goddard_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)


Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V1, Antarctic, 25km, Near Real-Time, 2016-Present, Monthly

Summary:
Alert: There is a newer version of this dataset. Please use Version 2 of the NSIDC NRT Sea Ice Concentration CDR with ERDDAP ID: nsidcG10016v2shmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2shmday.graph. Version 1 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
seaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)


Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record, Arctic, 25km, Near Real-Time, 2017-Present, Monthly

Summary:
Alert: There is a newer version of this dataset. Please use Version 2 of the NSIDC NRT Sea Ice Concentration CDR with ERDDAP ID: nsidcG10016v2nhmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nhmday.graph. Version 1 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
seaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
stdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
melt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
qa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)