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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email 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/ 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 (external link) 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/nesdisVHNchlaDaily https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNchlaDaily.graph https://polarwatch.noaa.gov/erddap/wms/nesdisVHNchlaDaily/request https://polarwatch.noaa.gov/erddap/files/nesdisVHNchlaDaily/ Chlorophyll, NOAA S-NPP VIIRS, Near Real-Time, Global 4km, Level 3, 2017-present,  Daily Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Near Real-Time, Chlorophyll, Global, Daily, processed by NOAA. EXPERIMENTAL.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisVHNchlaDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisVHNchlaDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/nesdisVHNchlaDaily/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/near-real-time/viirs-snpp.html (external link) https://polarwatch.noaa.gov/erddap/rss/nesdisVHNchlaDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisVHNchlaDaily&showErrors=false&email= NOAA NESDIS CoastWatch nesdisVHNchlaDaily
https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNchlaWeekly https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNchlaWeekly.graph https://polarwatch.noaa.gov/erddap/wms/nesdisVHNchlaWeekly/request https://polarwatch.noaa.gov/erddap/files/nesdisVHNchlaWeekly/ Chlorophyll, NOAA S-NPP VIIRS, Near Real-Time, Global 4km, Level 3, 2017-present,  Weekly Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Geometric Mean Baseline of Chlorophyll, Near Real-Time, Global, Weekly, processed by NOAA. EXPERIMENTAL.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisVHNchlaWeekly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisVHNchlaWeekly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/nesdisVHNchlaWeekly/index.htmlTable https://coastwatch.noaa.gov/thredds/dodsC/CoastWatch/VIIRS/chlora/Weekly/WW00.html (external link) https://polarwatch.noaa.gov/erddap/rss/nesdisVHNchlaWeekly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisVHNchlaWeekly&showErrors=false&email= NOAA NESDIS CoastWatch nesdisVHNchlaWeekly
https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNSQchlaDaily https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNSQchlaDaily.graph https://polarwatch.noaa.gov/erddap/wms/nesdisVHNSQchlaDaily/request https://polarwatch.noaa.gov/erddap/files/nesdisVHNSQchlaDaily/ Chlorophyll, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll, 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisVHNSQchlaDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisVHNSQchlaDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/nesdisVHNSQchlaDaily/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/science-quality/viirs-snpp.html (external link) https://polarwatch.noaa.gov/erddap/rss/nesdisVHNSQchlaDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisVHNSQchlaDaily&showErrors=false&email= NOAA NESDIS CoastWatch nesdisVHNSQchlaDaily
https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNSQchlaMonthly https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNSQchlaMonthly.graph https://polarwatch.noaa.gov/erddap/wms/nesdisVHNSQchlaMonthly/request https://polarwatch.noaa.gov/erddap/files/nesdisVHNSQchlaMonthly/ Chlorophyll, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll, 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisVHNSQchlaMonthly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisVHNSQchlaMonthly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/nesdisVHNSQchlaMonthly/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/science-quality/viirs-snpp.html (external link) https://polarwatch.noaa.gov/erddap/rss/nesdisVHNSQchlaMonthly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisVHNSQchlaMonthly&showErrors=false&email= NOAA NESDIS CoastWatch nesdisVHNSQchlaMonthly
https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNSQchlaWeekly https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNSQchlaWeekly.graph https://polarwatch.noaa.gov/erddap/wms/nesdisVHNSQchlaWeekly/request https://polarwatch.noaa.gov/erddap/files/nesdisVHNSQchlaWeekly/ Chlorophyll, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll, 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nchlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisVHNSQchlaWeekly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisVHNSQchlaWeekly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/nesdisVHNSQchlaWeekly/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/science-quality/viirs-snpp.html (external link) https://polarwatch.noaa.gov/erddap/rss/nesdisVHNSQchlaWeekly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisVHNSQchlaWeekly&showErrors=false&email= NOAA NESDIS CoastWatch nesdisVHNSQchlaWeekly
https://polarwatch.noaa.gov/erddap/griddap/erdMH1chla1day https://polarwatch.noaa.gov/erddap/griddap/erdMH1chla1day.graph https://polarwatch.noaa.gov/erddap/wms/erdMH1chla1day/request https://polarwatch.noaa.gov/erddap/files/erdMH1chla1day/ Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite) This dataset has Level 3, Standard Mapped Image, 4km, chlorophyll-a concentration 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlorophyll (Mean Chlorophyll a Concentration, mg m-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdMH1chla1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdMH1chla1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdMH1chla1day/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/MH1_chla_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdMH1chla1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdMH1chla1day&showErrors=false&email= NOAA NMFS SWFSC ERD erdMH1chla1day
https://polarwatch.noaa.gov/erddap/griddap/erdMH1chla8day https://polarwatch.noaa.gov/erddap/griddap/erdMH1chla8day.graph https://polarwatch.noaa.gov/erddap/wms/erdMH1chla8day/request https://polarwatch.noaa.gov/erddap/files/erdMH1chla8day/ Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (8 Day Composite) This dataset has Level 3, Standard Mapped Image, 4km, chlorophyll-a concentration 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlorophyll (Mean Chlorophyll a Concentration, mg m-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdMH1chla8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdMH1chla8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdMH1chla8day/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/MH1_chla_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdMH1chla8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdMH1chla8day&showErrors=false&email= NASA/GSFC OBPG erdMH1chla8day
https://polarwatch.noaa.gov/erddap/griddap/erdMH1chlamday https://polarwatch.noaa.gov/erddap/griddap/erdMH1chlamday.graph https://polarwatch.noaa.gov/erddap/wms/erdMH1chlamday/request https://polarwatch.noaa.gov/erddap/files/erdMH1chlamday/ Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (Monthly Composite) This dataset has Level 3, Standard Mapped Image, 4km, chlorophyll-a concentration 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlorophyll (Mean Chlorophyll a Concentration, mg m-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdMH1chlamday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdMH1chlamday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdMH1chlamday/index.htmlTable https://coastwatch.pfeg.noaa.gov/infog/MH1_chla_las.html (external link) https://polarwatch.noaa.gov/erddap/rss/erdMH1chlamday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdMH1chlamday&showErrors=false&email= NASA/GSFC OBPG erdMH1chlamday
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColor8Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColor8Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI42OceanColor8Day/request ESA CCI Ocean Colour Product (CCI ALL-v4.2-8DAY), 0.04166666°, 1997-2020 Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS)) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013.  VIIRS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS and MODIS from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v3.5 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)\nRrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\nwater_class4 (Mean of normalised water class 4 membership over the compositing period)\nwater_class5 (Mean of normalised water class 5 membership over the compositing period)\n... (15 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI42OceanColor8Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI42OceanColor8Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI42OceanColor8Day/index.htmlTable https://esa-oceancolour-cci.org (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI42OceanColor8Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI42OceanColor8Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI42OceanColor8Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorDaily https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorDaily.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI42OceanColorDaily/request ESA CCI Ocean Colour Product (CCI ALL-v4.2-DAILY), 0.04166666°, 1997-2019 Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013.  VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nVIIRS_nobs (Count of the number of observations from the VIIRS sensor contributing to this bin cell)\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nSeaWiFS_nobs (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)\ntotal_nobs (Count of the total number of observations contributing to this bin cell)\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)\nRrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm., sr-1)\nwater_class1 (Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data)\nwater_class2 (Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data)\n... (78 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI42OceanColorDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI42OceanColorDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI42OceanColorDaily/index.htmlTable https://esa-oceancolour-cci.org (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI42OceanColorDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI42OceanColorDaily&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI42OceanColorDaily
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorMonthly https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI42OceanColorMonthly.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI42OceanColorMonthly/request ESA CCI Ocean Colour Product (CCI ALL-v4.2-MONTHLY), 0.04166666°, 1997-2020 Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013.  VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)\nRrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\nwater_class4 (Mean of normalised water class 4 membership over the compositing period)\nwater_class5 (Mean of normalised water class 5 membership over the compositing period)\nwater_class6 (Mean of normalised water class 6 membership over the compositing period)\nwater_class7 (Mean of normalised water class 7 membership over the compositing period)\n... (13 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI42OceanColorMonthly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI42OceanColorMonthly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI42OceanColorMonthly/index.htmlTable https://esa-oceancolour-cci.org (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI42OceanColorMonthly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI42OceanColorMonthly&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI42OceanColorMonthly
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor5Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor5Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor5Day/request ESA CCI Ocean Colour Product (CCI ALL-v5.0-5DAY), 0.04166666°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 5 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColor5Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColor5Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColor5Day/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColor5Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColor5Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI50OceanColor5Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor8Day/request ESA CCI Ocean Colour Product (CCI ALL-v5.0-8DAY), 0.04166666°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColor8Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColor8Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColor8Day/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColor8Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColor8Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI50OceanColor8Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorDaily https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorDaily.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorDaily/request ESA CCI Ocean Colour Product (CCI ALL-v5.0-DAILY), 0.04166666°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nVIIRS_nobs (Count of the number of observations from the VIIRS sensor contributing to this bin cell)\nOLCI_nobs (Count of the number of observations from the OLCI sensor contributing to this bin cell)\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nSeaWiFS_nobs (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)\ntotal_nobs (Count of the total number of observations contributing to this bin cell)\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (83 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColorDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColorDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColorDaily/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColorDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColorDaily&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI50OceanColorDaily
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorMonthly/request ESA CCI Ocean Colour Product (CCI ALL-v5.0-MONTHLY), 0.04166666°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColorMonthly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColorMonthly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColorMonthly/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColorMonthly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColorMonthly&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI50OceanColorMonthly
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor5Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor5Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColor5Day/request ESA CCI Ocean Colour Product (CCI ALL-v6.0-5DAY), 0.041666668°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 5 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColor5Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColor5Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColor5Day/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColor5Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColor5Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI60OceanColor5Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor8Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor8Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColor8Day/request ESA CCI Ocean Colour Product (CCI ALL-v6.0-8DAY), 0.041666668°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColor8Day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColor8Day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColor8Day/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColor8Day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColor8Day&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI60OceanColor8Day
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorDaily https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorDaily.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColorDaily/request ESA CCI Ocean Colour Product (CCI ALL-v6.0-DAILY), 0.041666668°, 1997-present Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nOLCI_A_nobs (Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell)\nOLCI_B_nobs (Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell)\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\n... (86 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColorDaily_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColorDaily_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColorDaily/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColorDaily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColorDaily&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI60OceanColorDaily
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorMonthly https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorMonthly.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColorMonthly/request ESA CCI Ocean Colour Product (CCI ALL-v6.0-MONTHLY), 0.041666668°, 1997-2022 Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColorMonthly_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColorMonthly_iso19115.xml https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColorMonthly/index.htmlTable https://esa-oceancolour-cci.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColorMonthly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColorMonthly&showErrors=false&email= Plymouth Marine Laboratory pmlEsaCCI60OceanColorMonthly
https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailySP06 https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailySP06.graph Ice Concentration, Daily, GCOM-W1 AMSR2, Antarctic, 10km, NRT, Past 3 Weeks This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.\n            These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).\n            NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.\n            The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).\n            Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).\n            Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.\n            The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for South Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.\n            This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.\n            For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (NASA Team 2 Ice Concentration (Fraction), 1)\nFlags (Quality Flags, 1)\ngraphics (graphics overlay planes)\n https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceConcDailySP06/index.htmlTable https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggSP06.html (external link) https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceConcDailySP06.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceConcDailySP06&showErrors=false&email= DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA noaacwAMSR2gw1IceConcDailySP06
https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailyNP06 https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailyNP06.graph Ice Concentration, Daily, GCOM-W1 AMSR2, Arctic, 10km, NRT, Past 3 Weeks This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.\n            These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).\n            NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.\n            The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).\n            Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).\n            Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.\n            The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for North Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.\n            This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.\n            For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (NASA Team 2 Ice Concentration (Fraction) - primary product, 1)\nFlags (Quality Flags, 1)\ngraphics (graphics overlay planes)\n https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceConcDailyNP06/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html (external link) https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceConcDailyNP06.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceConcDailyNP06&showErrors=false&email= DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA noaacwAMSR2gw1IceConcDailyNP06
https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcSP06Daily https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcSP06Daily.graph Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Antarctic, 750m, Daily, Past 3 Weeks Enterprise Ice Concentration/ Ice Mask/ Ice Surface Temperature Products\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (Ice Concentration, 1)\n https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20iceconcSP06Daily/index.htmlTable https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice/viirs-sea-ice-concentration-ice-thickness-ice-surface-temperature.html (external link) https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20iceconcSP06Daily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20iceconcSP06Daily&showErrors=false&email= NOAA NESDIS CoastWatch noaacwVIIRSn20iceconcSP06Daily
https://polarwatch.noaa.gov/erddap/griddap/viirs_primprod https://polarwatch.noaa.gov/erddap/griddap/viirs_primprod.graph https://polarwatch.noaa.gov/erddap/wms/viirs_primprod/request https://polarwatch.noaa.gov/erddap/files/viirs_primprod/ Primary Productivity, NOAA-SNPP VIIRS, Global, 0.0375°, EXPERIMENTAL, Daily Primary Productivity, NOAA-SNPP Visible and Infrared Imager/Radiometer Suite (VIIRS), Global, 0.0375°, EXPERIMENTAL, Daily\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (degree_C)\nchlor_a (Surface Chlorophyll a Concentration, mg Chl m-3)\npar (Fraction of PAR Applied to PbOpt, mole m-2 d-1)\npar_fraction\nday_length (Hours of Daylight, h)\nproductivity (Net Primary Productivity Of Carbon, mg C m-2 d-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/viirs_primprod_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/viirs_primprod_iso19115.xml https://polarwatch.noaa.gov/erddap/info/viirs_primprod/index.htmlTable https://coastwatch.pfeg.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/viirs_primprod.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=viirs_primprod&showErrors=false&email= NOAA/NESDIS/STAR/CoastWatch/West Coast viirs_primprod
https://polarwatch.noaa.gov/erddap/griddap/sardine_habitat_gapfilled https://polarwatch.noaa.gov/erddap/griddap/sardine_habitat_gapfilled.graph https://polarwatch.noaa.gov/erddap/wms/sardine_habitat_gapfilled/request Sardine Potential Habitat V.3.0, NOAA Gap-Filled Data, Near Real-Time, US West Coast, 2012-present, Daily A habitat model of sardine distrubtion in the California Current based on satellite remote sensing chlorophyll and sea surface temperature data from the NOAA Visible and Infrared Imager/Radiometer Suite (VIIRS) SNPP/N-20 gap-filled ocean color data and NOAA GeoPolar Blended SST data.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlorophyll (Chlorophyll Concentration from Gap-Filled VIIRS data, mg m-3)\nsst (Sea Surface Temperature, degree_C)\npotential_habitat (Sardine Potential Habitat - Gap-filled, 1)\npotential_habitat_mask (Qualitative Map of Sardine Habitat - Gap-filled)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/sardine_habitat_gapfilled_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/sardine_habitat_gapfilled_iso19115.xml https://polarwatch.noaa.gov/erddap/info/sardine_habitat_gapfilled/index.htmlTable https://swfscdata.nmfs.noaa.gov/AST/sardineHabitat/habitat.aspx (external link) https://polarwatch.noaa.gov/erddap/rss/sardine_habitat_gapfilled.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=sardine_habitat_gapfilled&showErrors=false&email= NOAA/NMFS/SWFSC/FRD sardine_habitat_gapfilled
https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRice_nh_grid https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRice_nh_grid.graph https://polarwatch.noaa.gov/erddap/files/nsidcCDRice_nh_grid/ Sea Ice Concentration Lat-Lon Grid, NOAA/NSIDC Climate Data Record, Northern Hemisphere, 25km This ERDDAP data set provides the latitude - longitude grid for the Arctic (Northern Hemisphere) NSIDC passive microwave sea ice concentration climate data record (CDR) datasets distributed via the PolarWatch ERDDAP. The grid used for these datasets is the NSIDC polar stereographic grid with 25 x 25 km grid cells. The input netCDF files from NSIDC contain data variables and reference latitude and longitude variables. These are provided in this ERDDAP as separate datasets based on system architecture requirements.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [ygrid][xgrid]):\nlongitude (degrees_east)\nlatitude (degrees_north)\n https://polarwatch.noaa.gov/erddap/info/nsidcCDRice_nh_grid/index.htmlTable https://nsidc.org/data/g02202 (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcCDRice_nh_grid.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRice_nh_grid&showErrors=false&email= NSIDC > National Snow and Ice Data Center, NOAA nsidcCDRice_nh_grid
https://polarwatch.noaa.gov/erddap/griddap/nesdis_blendedsic_shem_daily https://polarwatch.noaa.gov/erddap/griddap/nesdis_blendedsic_shem_daily.graph https://polarwatch.noaa.gov/erddap/files/nesdis_blendedsic_shem_daily/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][cols][rows]):\nIceConc (Sea Ice Concentration, Blended AMSR2 and VIIRS, percent)\n https://polarwatch.noaa.gov/erddap/info/nesdis_blendedsic_shem_daily/index.htmlTable https://www.mdpi.com/2072-4292/13/15/2982 (external link) https://polarwatch.noaa.gov/erddap/rss/nesdis_blendedsic_shem_daily.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdis_blendedsic_shem_daily&showErrors=false&email= Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison nesdis_blendedsic_shem_daily
https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nh1day https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nh1day.graph https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4nh1day/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)\nmelt_onset_day_cdr_seaice_conc (Day of Snow Melt Onset Over Sea Ice, 1)\nnsidc_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)\nspatial_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration spatial interpolation flags)\nstdev_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\ntemporal_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration temporal interpolation flags)\n https://polarwatch.noaa.gov/erddap/info/nsidcG02202v4nh1day/index.htmlTable https://nsidc.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v4nh1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v4nh1day&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG02202v4nh1day
https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nhmday https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nhmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4nhmday/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nmelt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nnsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\nstdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\n https://polarwatch.noaa.gov/erddap/info/nsidcG02202v4nhmday/index.htmlTable https://nsidc.org/data/g02202/versions/4/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v4nhmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v4nhmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG02202v4nhmday
https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4sh1day https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4sh1day.graph https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4sh1day/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)\nnsidc_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)\nspatial_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration spatial interpolation flags)\nstdev_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\ntemporal_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration temporal interpolation flags)\n https://polarwatch.noaa.gov/erddap/info/nsidcG02202v4sh1day/index.htmlTable https://nsidc.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v4sh1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v4sh1day&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG02202v4sh1day
https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4shmday https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4shmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4shmday/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nnsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\nstdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\n https://polarwatch.noaa.gov/erddap/info/nsidcG02202v4shmday/index.htmlTable https://nsidc.org/data/g02202/versions/4/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v4shmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v4shmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG02202v4shmday
https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nh1day https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nh1day.graph https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2nh1day/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)\nmelt_onset_day_cdr_seaice_conc (Day of Snow Melt Onset Over Sea Ice, 1)\nnsidc_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)\nspatial_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration spatial interpolation flags)\nstdev_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\ntemporal_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration temporal interpolation flags)\n https://polarwatch.noaa.gov/erddap/info/nsidcG10016v2nh1day/index.htmlTable https://nsidc.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v2nh1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v2nh1day&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG10016v2nh1day
https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nhmday https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nhmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2nhmday/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nmelt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nnsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\nstdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\n https://polarwatch.noaa.gov/erddap/info/nsidcG10016v2nhmday/index.htmlTable https://nsidc.org/data/G10016/versions/2/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v2nhmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v2nhmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG10016v2nhmday
https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2sh1day https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2sh1day.graph https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2sh1day/ 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)\nnsidc_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)\nspatial_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration spatial interpolation flags)\nstdev_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\ntemporal_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration temporal interpolation flags)\n https://polarwatch.noaa.gov/erddap/info/nsidcG10016v2sh1day/index.htmlTable https://nsidc.org/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v2sh1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v2sh1day&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG10016v2sh1day
https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2shmday https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2shmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2shmday/ 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nnsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\nstdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\n https://polarwatch.noaa.gov/erddap/info/nsidcG10016v2shmday/index.htmlTable https://nsidc.org/data/G10016/versions/2/ (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v2shmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v2shmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center nsidcG10016v2shmday
https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_sh_ps https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_sh_ps.graph Sea Ice Lat-Lon Grid, OSI SAF EUMETSAT, Antarctic, Polar Stereographic, 10km 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).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [yc][xc]):\nlat (latitude coordinate, degrees_north)\nlon (longitude coordinate, degrees_east)\n https://polarwatch.noaa.gov/erddap/info/eumetsat_osisaf_grid_sh_ps/index.htmlTable https://thredds.met.no/thredds/dodsC/osisaf/met.no/ice/conc_sh_pol_agg.html (external link) https://polarwatch.noaa.gov/erddap/rss/eumetsat_osisaf_grid_sh_ps.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=eumetsat_osisaf_grid_sh_ps&showErrors=false&email= EUMETSAT OSI SAF eumetsat_osisaf_grid_sh_ps
https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_nh_ps https://polarwatch.noaa.gov/erddap/griddap/eumetsat_osisaf_grid_nh_ps.graph Sea Ice Lat-Lon Grid, OSI SAF EUMETSAT, Arctic, Polar Stereographic, 10km This is the coordinating geospatial grid for the OSI SAF northern hemisphere polar stereographic dataset(ERDDAP ID: eumetsat_osisaf_ice_conc_nh_ps.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [yc][xc]):\nlat (latitude coordinate, degrees_north)\nlon (longitude coordinate, degrees_east)\n https://polarwatch.noaa.gov/erddap/info/eumetsat_osisaf_grid_nh_ps/index.htmlTable https://thredds.met.no/thredds/dodsC/osisaf/met.no/ice/conc_nh_pol_agg.html (external link) https://polarwatch.noaa.gov/erddap/rss/eumetsat_osisaf_grid_nh_ps.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=eumetsat_osisaf_grid_nh_ps&showErrors=false&email= EUMETSAT OSI SAF eumetsat_osisaf_grid_nh_ps
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018chla8day https://polarwatch.noaa.gov/erddap/griddap/erdVH2018chla8day.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018chla8day/request https://polarwatch.noaa.gov/erddap/files/erdVH2018chla8day/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Chlorophyll a, OCI Algorithm, R2018, 2012-present, 8-Day R2018 version of Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll a, OCI Algorithm, 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchla (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018chla8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018chla8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018chla8day/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018chla8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018chla8day&showErrors=false&email= NASA/GSFC OBPG erdVH2018chla8day
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018chla1day https://polarwatch.noaa.gov/erddap/griddap/erdVH2018chla1day.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018chla1day/request https://polarwatch.noaa.gov/erddap/files/erdVH2018chla1day/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Chlorophyll a, OCI Algorithm, R2018, 2012-present, Daily R2018 version of Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll a, OCI Algorithm, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchla (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018chla1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018chla1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018chla1day/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018chla1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018chla1day&showErrors=false&email= NASA/GSFC OBPG erdVH2018chla1day
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018chlamday https://polarwatch.noaa.gov/erddap/griddap/erdVH2018chlamday.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018chlamday/request https://polarwatch.noaa.gov/erddap/files/erdVH2018chlamday/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Chlorophyll a, OCI Algorithm, R2018, 2012-present, Monthly R2018 version of Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll a, OCI Algorithm, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchla (Chlorophyll Concentration, OCI Algorithm, mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018chlamday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018chlamday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018chlamday/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018chlamday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018chlamday&showErrors=false&email= NASA/GSFC OBPG erdVH2018chlamday
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018pic8day https://polarwatch.noaa.gov/erddap/griddap/erdVH2018pic8day.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018pic8day/request https://polarwatch.noaa.gov/erddap/files/erdVH2018pic8day/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, 8-Day R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npic (Calcite Concentration, Balch and Gordon, mol m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018pic8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018pic8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018pic8day/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018pic8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018pic8day&showErrors=false&email= NASA/GSFC OBPG erdVH2018pic8day
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018pic1day https://polarwatch.noaa.gov/erddap/griddap/erdVH2018pic1day.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018pic1day/request https://polarwatch.noaa.gov/erddap/files/erdVH2018pic1day/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, Daily R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npic (Calcite Concentration, Balch and Gordon, mol m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018pic1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018pic1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018pic1day/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018pic1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018pic1day&showErrors=false&email= NASA/GSFC OBPG erdVH2018pic1day
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018picmday https://polarwatch.noaa.gov/erddap/griddap/erdVH2018picmday.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018picmday/request https://polarwatch.noaa.gov/erddap/files/erdVH2018picmday/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, PIC, R2018, 2012-present, Monthly R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npic (Calcite Concentration, Balch and Gordon, mol m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018picmday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018picmday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018picmday/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018picmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018picmday&showErrors=false&email= NASA/GSFC OBPG erdVH2018picmday
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018poc8day https://polarwatch.noaa.gov/erddap/griddap/erdVH2018poc8day.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018poc8day/request https://polarwatch.noaa.gov/erddap/files/erdVH2018poc8day/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, 8-Day R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018poc8day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018poc8day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018poc8day/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018poc8day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018poc8day&showErrors=false&email= NASA/GSFC OBPG erdVH2018poc8day
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018poc1day https://polarwatch.noaa.gov/erddap/griddap/erdVH2018poc1day.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018poc1day/request https://polarwatch.noaa.gov/erddap/files/erdVH2018poc1day/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, Daily R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018poc1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018poc1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018poc1day/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018poc1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018poc1day&showErrors=false&email= NASA/GSFC OBPG erdVH2018poc1day
https://polarwatch.noaa.gov/erddap/griddap/erdVH2018pocmday https://polarwatch.noaa.gov/erddap/griddap/erdVH2018pocmday.graph https://polarwatch.noaa.gov/erddap/wms/erdVH2018pocmday/request https://polarwatch.noaa.gov/erddap/files/erdVH2018pocmday/ VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, POC, R2018, 2012-present, Monthly R2018 of Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  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. VIIRS is the successor to MODIS for Earth science data product generation. (This version of the VH data was first released on 2017-12-12.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m^-3)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdVH2018pocmday_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdVH2018pocmday_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdVH2018pocmday/index.htmlTable https://oceancolor.gsfc.nasa.gov/data/viirs-snpp/ (external link) https://polarwatch.noaa.gov/erddap/rss/erdVH2018pocmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdVH2018pocmday&showErrors=false&email= NASA/GSFC OBPG erdVH2018pocmday
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_1day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_1day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_1day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_1day/ X-experimental - C-HARM v3, 1-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_1day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_1day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_1day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_1day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_1day
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_2day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_2day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_2day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_2day/ X-experimental - C-HARM v3, 2-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_2day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_2day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_2day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_2day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_2day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_2day
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_3day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_3day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_3day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_3day/ X-experimental - C-HARM v3, 3-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_3day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_3day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_3day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_3day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_3day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_3day
https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_0day https://polarwatch.noaa.gov/erddap/griddap/wvcharmV3_0day.graph https://polarwatch.noaa.gov/erddap/wms/wvcharmV3_0day/request https://polarwatch.noaa.gov/erddap/files/wvcharmV3_0day/ X-experimental - C-HARM v3, Nowcast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present Version 3. The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite NOAA S-National Polar-orbiting Partnership (NPP) Visible and Infrared Imager/Radiometer Suite (VIIRS) observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS Regional Ocean Modeling System (ROMS). The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npseudo_nitzschia (Probability of Pseudo-nitzschia > 10,000 cells/L, 1)\nparticulate_domoic (Probability of Particulate Domoic Acid > 500 nanograms/L, 1)\ncellular_domoic (Probability of Cellular Domoic Acid > 10 picograms/cell, 1)\nchla_filled (S-NPP NOAA VIIRS Chlorophyll Fields Gap-Filled with DINEOF, mg m^-3)\nr486_filled (S-NPP NOAA VIIRS 486nm Reflectance Fields Gap-Filled with DINEOF)\nr551_filled (S-NPP NOAA VIIRS 551nm Reflectance Fields Gap-Filled with DINEOF)\nsalinity (WCOFS Surface Salinity, PSU)\nwater_temparture (WCOFS Surface Water Temperature, degree_C)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/wvcharmV3_0day_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/wvcharmV3_0day_iso19115.xml https://polarwatch.noaa.gov/erddap/info/wvcharmV3_0day/index.htmlTable https://www.cencoos.org/observations/models-forecasts (external link) https://polarwatch.noaa.gov/erddap/rss/wvcharmV3_0day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wvcharmV3_0day&showErrors=false&email= NOAA/NMFS/SWFSC/ERD, CoastWatch West Coast wvcharmV3_0day
https://polarwatch.noaa.gov/erddap/griddap/modis_month_poc2022 https://polarwatch.noaa.gov/erddap/griddap/modis_month_poc2022.graph https://polarwatch.noaa.gov/erddap/wms/modis_month_poc2022/request https://polarwatch.noaa.gov/erddap/files/modis_month_poc2022/ X-experimental - Particulate Organic Carbon in Ocean Surface Water, MODIS, 9km, NASA SMI, Stramski 2022 Particulate Organic Carbon in Ocean Surface Water, MODIS Aqua, 9km, NASA Standard Mapped Image (SMI), Stramski 2022\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)\npoc_stdev (Standard Deviation for Particulate Organic Carbon, mg m^-3)\npoc_var (Variance for Particulate Organic Carbon, mg m^-3)\npoc_nobs (Number Particulate Organic Carbon of Observations, count)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/modis_month_poc2022_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/modis_month_poc2022_iso19115.xml https://polarwatch.noaa.gov/erddap/info/modis_month_poc2022/index.htmlTable https://coastwatch.pfeg.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/modis_month_poc2022.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=modis_month_poc2022&showErrors=false&email= CoastWatch West Coast Node modis_month_poc2022
https://polarwatch.noaa.gov/erddap/griddap/seawifs_month_poc2022 https://polarwatch.noaa.gov/erddap/griddap/seawifs_month_poc2022.graph https://polarwatch.noaa.gov/erddap/wms/seawifs_month_poc2022/request https://polarwatch.noaa.gov/erddap/files/seawifs_month_poc2022/ X-experimental - Particulate Organic Carbon in Ocean Surface Water, SeaWiFS, 9km, NASA SMI, Stramski 2022 Particulate Organic Carbon in Ocean Surface Water, Sea-Wide Field-of-View Sensor (SeaWiFS), 9km, NASA Standard Mapped Image (SMI), Stramski 2022\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)\npoc_stdev (Standard Deviation for Particulate Organic Carbon, mg m^-3)\npoc_var (Variance for Particulate Organic Carbon, mg m^-3)\npoc_nobs (Number Particulate Organic Carbon of Observations, count)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/seawifs_month_poc2022_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/seawifs_month_poc2022_iso19115.xml https://polarwatch.noaa.gov/erddap/info/seawifs_month_poc2022/index.htmlTable https://coastwatch.pfeg.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/seawifs_month_poc2022.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=seawifs_month_poc2022&showErrors=false&email= CoastWatch West Coast Node seawifs_month_poc2022
https://polarwatch.noaa.gov/erddap/griddap/viirs_month_poc2022 https://polarwatch.noaa.gov/erddap/griddap/viirs_month_poc2022.graph https://polarwatch.noaa.gov/erddap/wms/viirs_month_poc2022/request https://polarwatch.noaa.gov/erddap/files/viirs_month_poc2022/ X-experimental - Particulate Organic Carbon in Ocean Surface Water, VIIRS SNPP, 9km, NASA SMI, Stramski 2022 Particulate Organic Carbon in Ocean Surface Water, VIIRS SNPP, Level-3, NASA Standard Mapped Image (SMI), Stramski 2022\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)\npoc_stdev (Standard Deviation for Particulate Organic Carbon, mg m^-3)\npoc_var (Variance for Particulate Organic Carbon, mg m^-3)\npoc_nobs (Number Particulate Organic Carbon of Observations, count)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/viirs_month_poc2022_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/viirs_month_poc2022_iso19115.xml https://polarwatch.noaa.gov/erddap/info/viirs_month_poc2022/index.htmlTable https://coastwatch.pfeg.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/viirs_month_poc2022.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=viirs_month_poc2022&showErrors=false&email= CoastWatch West Coast Node viirs_month_poc2022
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/ 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/ (external link) 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/noaa_snpp_poc https://polarwatch.noaa.gov/erddap/griddap/noaa_snpp_poc.graph https://polarwatch.noaa.gov/erddap/wms/noaa_snpp_poc/request https://polarwatch.noaa.gov/erddap/files/noaa_snpp_poc/ X-Experimental POC from NOAA S-NPP VIIRS Source Data Particulate Organic Carbon in Ocean Surface Water, Sea-Wide Field-of-View Sensor (SeaWiFS), 9km, NASA Standard Mapped Image (SMI), Stramski 2022\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npoc (Particulate Organic Carbon, D. Stramski, 2022, mg m^-3)\nRrs_443 (Remote Sensing Reflectance at 443 nm, sr^-1)\nRrs_486 (Remote Sensing Reflectance at 486 nm, sr^-1)\nRrs_551 (Remote Sensing Reflectance at 551 nm, W m^-2 um^-1 sr^-1)\nRrs_510v (Virtual Remote Sensing Reflectance at 510 nm, W m^-2 um^-1 sr^-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_snpp_poc_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_snpp_poc_iso19115.xml https://polarwatch.noaa.gov/erddap/info/noaa_snpp_poc/index.htmlTable https://coastwatch.noaa.gov (external link) https://polarwatch.noaa.gov/erddap/rss/noaa_snpp_poc.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_snpp_poc&showErrors=false&email= STAR noaa_snpp_poc
https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQshmday https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQshmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQshmday/ Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Antarctic, 25km, Science Quality, 1978-2019, Monthly 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQshmday/index.htmlTable https://nsidc.org/data/g02202 (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQshmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQshmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center, NOAA nsidcCDRiceSQshmday
https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnh1day https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnh1day.graph https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQnh1day/ Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Arctic, 25km, Science Quality, 1978-2019, Daily 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_cdr (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_cdr (Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_cdr (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc (Goddard Edited Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQnh1day/index.htmlTable https://nsidc.org/data/g02202 (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQnh1day.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQnh1day&showErrors=false&email= NSIDC > National Snow and Ice Data Center, NOAA nsidcCDRiceSQnh1day
https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnhmday https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnhmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQnhmday/ Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Arctic, 25km, Science Quality, 1978-2019, Monthly 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQnhmday/index.htmlTable https://nsidc.org/data/g02202 (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQnhmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQnhmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center, NOAA nsidcCDRiceSQnhmday
https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTshmday https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTshmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceNRTshmday/ Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V1, Antarctic, 25km, Near Real-Time, 2016-Present, Monthly 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\n https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceNRTshmday/index.htmlTable https://nsidc.org/data/g10016 (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceNRTshmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceNRTshmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center, NOAA nsidcCDRiceNRTshmday
https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTnhmday https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTnhmday.graph https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceNRTnhmday/ Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record, Arctic, 25km, Near Real-Time, 2017-Present, Monthly 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\n https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceNRTnhmday/index.htmlTable https://nsidc.org/data/g10016 (external link) https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceNRTnhmday.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceNRTnhmday&showErrors=false&email= NSIDC > National Snow and Ice Data Center, NOAA nsidcCDRiceNRTnhmday

 
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