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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3ASCIDINEOFDaily | https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3ASCIDINEOFDaily.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisNPPN20S3ASCIDINEOFDaily/request | https://polarwatch.noaa.gov/erddap/files/nesdisNPPN20S3ASCIDINEOFDaily/ | public | Chlorophyll (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-\nrecent, Daily | 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\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, DINEOF Gap-Filled, mg m^-3)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisNPPN20S3ASCIDINEOFDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisNPPN20S3ASCIDINEOFDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisNPPN20S3ASCIDINEOFDaily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisNPPN20S3ASCIDINEOFDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisNPPN20S3ASCIDINEOFDaily&showErrors=false&email= | NOAA NESDIS STAR | nesdisNPPN20S3ASCIDINEOFDaily | ||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AkdSCIDINEOFDaily | https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AkdSCIDINEOFDaily.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisNPPN20S3AkdSCIDINEOFDaily/request | https://polarwatch.noaa.gov/erddap/files/nesdisNPPN20S3AkdSCIDINEOFDaily/ | public | Kd490 (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily | 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\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nkd_490 (Diffuse attenuation coefficient at 490 nm, kd2 algorithm, m^-1)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisNPPN20S3AkdSCIDINEOFDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisNPPN20S3AkdSCIDINEOFDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisNPPN20S3AkdSCIDINEOFDaily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisNPPN20S3AkdSCIDINEOFDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisNPPN20S3AkdSCIDINEOFDaily&showErrors=false&email= | NOAA NESDIS STAR | nesdisNPPN20S3AkdSCIDINEOFDaily | ||
| https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_sail_height_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_sail_height_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_sail_height_icebridge/ | public | 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.\n\n 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\n\n Point of Contact: Laurence.Connor@noaa.gov\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nNumber_of_Images\nNumber_of_sail_height_measurements\nMean_sail_height (m)\nModal_sail_height (m)\nMaximum_sail_height (m)\nSail_height_standard_deviation (m)\nSail_height_5th_percentile (m)\nSail_height_25th_percentile (m)\nSail_height_75th_percentile (m)\nSail_height_95th_percentile (m)\nSail_height_99th_percentile (m)\nDMS_First_Image_Filename\nDMS_Last_Image_Filename\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_sail_height_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_sail_height_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_sail_height_icebridge/index.htmlTable | https://star.nesdis.noaa.gov/sod/lsa/SeaIce/PressureRidgeSailHeight.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_sail_height_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_sail_height_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_sail_height_icebridge | |||
| https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_elevation_icebridge/ | public | 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:\n 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.\n Point of Contact: Laurence.Connor@noaa.gov\n Data Product Webpage: https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nAlong_track_Distance (meters)\nAcross_Track_Grid_Cell_Number (Cross-Track Grid Cell Number)\nlongitude (degrees_east)\nlatitude (degrees_north)\nElevation (meters)\nStandard_Deviation (meters)\nNum_Pts (Number of Points)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_elevation_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_elevation_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_elevation_icebridge/index.htmlTable | https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_elevation_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_elevation_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_surface_elevation_icebridge | |||
| https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_roughness_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_roughness_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_roughness_icebridge/ | public | 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.\n 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.\n\n 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.\n\n Point of Contact: Laurence.Connor@noaa.gov\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMean_surface_roughness (Meters)\nMaximum_surface_roughness (Meters)\nSurface_roughness_5th_percentile (Meters)\nSurface_roughness_25th_percentile (Meters)\nSurface_roughness_75th_percentile (Meters)\nSurface_roughness_95th_percentile (Meters)\nSurface_roughness_99th_percentile (Meters)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_roughness_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_roughness_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_roughness_icebridge/index.htmlTable | https://star.nesdis.noaa.gov/socd/lsa/SeaIce/SeaIceSurfaceRoughness.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_roughness_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_roughness_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_surface_roughness_icebridge | |||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AspmSCIDINEOFDaily | https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AspmSCIDINEOFDaily.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisNPPN20S3AspmSCIDINEOFDaily/request | https://polarwatch.noaa.gov/erddap/files/nesdisNPPN20S3AspmSCIDINEOFDaily/ | public | Suspended Particulate Matter (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily | 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\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nspm (Suspended Particulate Matter, mg l-1)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisNPPN20S3AspmSCIDINEOFDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisNPPN20S3AspmSCIDINEOFDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisNPPN20S3AspmSCIDINEOFDaily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisNPPN20S3AspmSCIDINEOFDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisNPPN20S3AspmSCIDINEOFDaily&showErrors=false&email= | NOAA NESDIS STAR | nesdisNPPN20S3AspmSCIDINEOFDaily | ||
| https://polarwatch.noaa.gov/erddap/griddap/lara_snowdepth_5yrs_awi_nh | https://polarwatch.noaa.gov/erddap/griddap/lara_snowdepth_5yrs_awi_nh.graph | https://polarwatch.noaa.gov/erddap/files/lara_snowdepth_5yrs_awi_nh/ | public | X - Experimental LaRA (Laser/Radar Altimeter) snow depth 5-year monthly mean (using AWI/CS-2 standard algorithm), Arctic, 25km, 2018-2023 (winter) | Laser/Radar Altimeter (LaRA) Arctic Snow Depth (ESA version) is a five-year mean representation of Arctic snow depth on sea ice calculated using complementary observations of Arctic sea ice from laser and radar satellite altimeters. CryoSat-2 freeboards from the ESA standard algorithm were combined with ICESat-2 freeboards to derive LaRA snow depths over the Arctic Ocean. Monthly mean LaRA snow depths covering winter months (November through April) were averaged over five winters spanning 2018-2023 to create 5-year snow depth means for each winter month. CryoSat-2 Baseline-E L1A/L2 and ICESat-2 ATL07/10 release 6 data were used in development. Sea ice concentration data from the National Snow and Ice Data Center (NSIDC) and sea surface type data from OSI SAF were used as ancillary data.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nLaRA_sd_5yr (LaRA Snow Depth 5yr mean, meter)\ngrid_lat\ngrid_lon (Longitude)\n | https://polarwatch.noaa.gov/erddap/info/lara_snowdepth_5yrs_awi_nh/index.htmlTable | https://www.star.nesdis.noaa.gov/socd/lsa/SeaIce/LaRaSnowDepth.php
| https://polarwatch.noaa.gov/erddap/rss/lara_snowdepth_5yrs_awi_nh.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=lara_snowdepth_5yrs_awi_nh&showErrors=false&email= | NOAA NESDIS STAR | lara_snowdepth_5yrs_awi_nh | |||||
| https://polarwatch.noaa.gov/erddap/griddap/lara_snowdepth_5yrs_esa_nh | https://polarwatch.noaa.gov/erddap/griddap/lara_snowdepth_5yrs_esa_nh.graph | https://polarwatch.noaa.gov/erddap/files/lara_snowdepth_5yrs_esa_nh/ | public | X - Experimental LaRA (Laser/Radar Altimeter) snow depth 5-year monthly mean (using ESA/CS-2 standard algorithm), Arctic, 25km, 2018-2023 (winter) | Laser/Radar Altimeter (LaRA) Arctic Snow Depth (ESA version) is a five-year mean representation of Arctic snow depth on sea ice calculated using complementary observations of Arctic sea ice from laser and radar satellite altimeters. CryoSat-2 freeboards from the ESA standard algorithm were combined with ICESat-2 freeboards to derive LaRA snow depths over the Arctic Ocean. Monthly mean LaRA snow depths covering winter months (November through April) were averaged over five winters spanning 2018-2023 to create 5-year snow depth means for each winter month. CryoSat-2 Baseline-E L1A/L2 and ICESat-2 ATL07/10 release 6 data were used in development. Sea ice concentration data from the National Snow and Ice Data Center (NSIDC) and sea surface type data from OSI SAF were used as ancillary data.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nLaRA_sd_5yr (LaRA Snow Depth 5yr mean, meter)\ngrid_lat\ngrid_lon\n | https://polarwatch.noaa.gov/erddap/info/lara_snowdepth_5yrs_esa_nh/index.htmlTable | https://www.star.nesdis.noaa.gov/socd/lsa/SeaIce/LaRaSnowDepth.php
| https://polarwatch.noaa.gov/erddap/rss/lara_snowdepth_5yrs_esa_nh.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=lara_snowdepth_5yrs_esa_nh&showErrors=false&email= | NOAA NESDIS STAR | lara_snowdepth_5yrs_esa_nh | |||||
| https://polarwatch.noaa.gov/erddap/griddap/jpss_chl_alaska | https://polarwatch.noaa.gov/erddap/griddap/jpss_chl_alaska.graph | https://polarwatch.noaa.gov/erddap/wms/jpss_chl_alaska/request | https://polarwatch.noaa.gov/erddap/files/jpss_chl_alaska/ | public | X-Experimental Chlorophyll, S-NPP VIIR, Alaska, Daily | 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jpss_chl_alaska_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jpss_chl_alaska_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/jpss_chl_alaska/index.htmlTable | http://www.star.nesdis.noaa.gov/socd/mecb/color/
| https://polarwatch.noaa.gov/erddap/rss/jpss_chl_alaska.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jpss_chl_alaska&showErrors=false&email= | NOAA NESDIS STAR | jpss_chl_alaska | ||
| https://polarwatch.noaa.gov/erddap/griddap/jpss_rrs_alaska | https://polarwatch.noaa.gov/erddap/griddap/jpss_rrs_alaska.graph | https://polarwatch.noaa.gov/erddap/wms/jpss_rrs_alaska/request | https://polarwatch.noaa.gov/erddap/files/jpss_rrs_alaska/ | public | X-Experimental Remote Sensing Reflectance, S-NPP VIIR, Alaska, Daily | 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_410 (SNPP Remote Sensing Reflectance at 410 nm, sr^-1)\nRrs_443 (Remove Sensing Reflectance 443nm, sr^-1)\nRrs_486 (Remove Sensing Reflectance 486nm, sr^-1)\nRrs_551 (Remove Sensing Reflectance 551nm, sr^-1)\nRrs_638 (Remove Sensing Reflectance 638nm)\nRrs_671 (Remove Sensing Reflectance 671nm, sr^-1)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/jpss_rrs_alaska_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/jpss_rrs_alaska_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/jpss_rrs_alaska/index.htmlTable | http://www.star.nesdis.noaa.gov/socd/mecb/color/
| https://polarwatch.noaa.gov/erddap/rss/jpss_rrs_alaska.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=jpss_rrs_alaska&showErrors=false&email= | NOAA NESDIS STAR | jpss_rrs_alaska |