NOAA PolarWatch ERDDAP
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griddap Subset tabledap Make A Graph wms files Accessible Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://polarwatch.noaa.gov/erddap/tabledap/wcn_log_crosswalk.subset https://polarwatch.noaa.gov/erddap/tabledap/wcn_log_crosswalk https://polarwatch.noaa.gov/erddap/files/wcn_log_crosswalk/ public Datalog Crosswalk, West Coast Node A curated list of ERDDAP dataset IDs are associated with features that allow sorting into useful groupings.\n\ncdm_data_type = Other\nVARIABLES:\ndataset_id\ngroup_title\ndata_source (Agency Providing Satellite Data)\ndataset_title\nvariable (Variable in Dataset)\nsensor\n https://polarwatch.noaa.gov/erddap/info/wcn_log_crosswalk/index.htmlTable https://coastwatch.pfeg.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/wcn_log_crosswalk.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=wcn_log_crosswalk&showErrors=false&email= NOAA/CoastWatch/West Coast wcn_log_crosswalk
https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor8Day/request public 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/pmlEsaCCI50OceanColorMonthly https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly.graph https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorMonthly/request public 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 public 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 public 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 public 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 public 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/tabledap/usnic_weekly_iceberg.subset https://polarwatch.noaa.gov/erddap/tabledap/usnic_weekly_iceberg https://polarwatch.noaa.gov/erddap/tabledap/usnic_weekly_iceberg.graph https://polarwatch.noaa.gov/erddap/files/usnic_weekly_iceberg/ public Iceberg Locations from USNIC, Antarctic, 2014 to Present, Weekly U.S. National Ice Center (USNIC) is the global entity that names, tracks, and documents Antarctic icebergs that meet the criteria of 20 sqNM or greater, or 10 NM on its longest axis. Data are available from Nov 2014 to present and are updated weekly.\n\ncdm_data_type = Point\nVARIABLES:\nIceberg\nlength_nm\nwidth_nm\nlatitude (degrees_north)\nlongitude (degrees_east)\nRemarks\ntime (Iso Date, seconds since 1970-01-01T00:00:00Z)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/usnic_weekly_iceberg_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/usnic_weekly_iceberg_iso19115.xml https://polarwatch.noaa.gov/erddap/info/usnic_weekly_iceberg/index.htmlTable https://usicecenter.gov/Products/AntarcIcebergs (external link) https://polarwatch.noaa.gov/erddap/rss/usnic_weekly_iceberg.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=usnic_weekly_iceberg&showErrors=false&email= USNIC usnic_weekly_iceberg
https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D10mWind_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D10mWind_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdNavgem05D10mWind_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdNavgem05D10mWind_LonPM180/ public Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 10 m Wind, Lon+/-180 Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwnd_ucmp_height_above_ground (Eastward Wind, m s-1)\nwnd_vcmp_height_above_ground (Northward Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdNavgem05D10mWind_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdNavgem05D10mWind_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdNavgem05D10mWind_LonPM180/index.htmlTable https://en.wikipedia.org/wiki/NAVGEM (external link) https://polarwatch.noaa.gov/erddap/rss/erdNavgem05D10mWind_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdNavgem05D10mWind_LonPM180&showErrors=false&email= FNMOC erdNavgem05D10mWind_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D20mWind_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D20mWind_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdNavgem05D20mWind_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdNavgem05D20mWind_LonPM180/ public Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 20 m Wind, Lon+/-180 Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwnd_ucmp_height_above_ground (Eastward Wind, m s-1)\nwnd_vcmp_height_above_ground (Northward Wind, m s-1)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdNavgem05D20mWind_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdNavgem05D20mWind_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdNavgem05D20mWind_LonPM180/index.htmlTable https://en.wikipedia.org/wiki/NAVGEM (external link) https://polarwatch.noaa.gov/erddap/rss/erdNavgem05D20mWind_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdNavgem05D20mWind_LonPM180&showErrors=false&email= FNMOC erdNavgem05D20mWind_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D500mb_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05D500mb_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdNavgem05D500mb_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdNavgem05D500mb_LonPM180/ public Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 500 hPa Height, Lon+/-180 Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][isobaric][latitude][longitude]):\ngeop_ht_isobaric (Geopotential Height (500 hPa), gpm)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdNavgem05D500mb_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdNavgem05D500mb_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdNavgem05D500mb_LonPM180/index.htmlTable https://en.wikipedia.org/wiki/NAVGEM (external link) https://polarwatch.noaa.gov/erddap/rss/erdNavgem05D500mb_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdNavgem05D500mb_LonPM180&showErrors=false&email= FNMOC erdNavgem05D500mb_LonPM180
https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05DPres_LonPM180 https://polarwatch.noaa.gov/erddap/griddap/erdNavgem05DPres_LonPM180.graph https://polarwatch.noaa.gov/erddap/wms/erdNavgem05DPres_LonPM180/request https://polarwatch.noaa.gov/erddap/files/erdNavgem05DPres_LonPM180/ public Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, Pressure MSL, Lon+/-180 Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npres_reduced_msl (Pressure (adjusted to Mean Sea Level), hPa)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdNavgem05DPres_LonPM180_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdNavgem05DPres_LonPM180_iso19115.xml https://polarwatch.noaa.gov/erddap/info/erdNavgem05DPres_LonPM180/index.htmlTable https://en.wikipedia.org/wiki/NAVGEM (external link) https://polarwatch.noaa.gov/erddap/rss/erdNavgem05DPres_LonPM180.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdNavgem05DPres_LonPM180&showErrors=false&email= FNMOC erdNavgem05DPres_LonPM180
https://polarwatch.noaa.gov/erddap/tabledap/polarwatch_datause_monthly.subset https://polarwatch.noaa.gov/erddap/tabledap/polarwatch_datause_monthly https://polarwatch.noaa.gov/erddap/tabledap/polarwatch_datause_monthly.graph https://polarwatch.noaa.gov/erddap/files/polarwatch_datause_monthly/ public PolarWatch ERDDAP Data Usage Data usage extracted from the PolarWatch ERDDAP usage logs.\n\ncdm_data_type = Other\nVARIABLES:\ndataset_id (ERDDAP Dataset ID)\ndata_volume (Total Monthly Data Volume, Mb)\nrequests (Total Monthly Requests for Data)\nnc_req (Monthly Requests for Data in NetCDF Format)\ndods_req (Monthly OpenDAP Requests)\ntext_req (Monthly Requests for Data in Text Format)\nmetadata_req (Monthly Requests for Metadata)\ngraph_req (Monthly Requests for Graphics)\njson_req (Monthly Requests for Data in JSON Format)\nmat_req (Monthly Requests for Data in MATLAB Format)\nimages_req (Monthly Requests for Images)\nfile_downloads_req (Monthly Requests to Download Tiles)\nother_req (Monthly Requests Data in Other Formats)\nnc_volume (Monthly Data Volume in NetCDF Format, Kb)\ndods_volume (Monthly Data Volume in Dods Format, Kb)\ntext_volume (Monthly Data Volume in Text Format, Kb)\nmetadata_volume (Monthly Data Volume for Metadata, Kb)\ngraph_volume (Monthly Data Volume for Graphs, Kb)\njson_volume (Monthly Data Volume in Json\n            format, Kb)\nmat_volume (Monthly Data Volume in MATLAB Format, Kb)\nimages_volume (Monthly Data Volume for Images, Kb)\nfile_downloads_volume (Monthly Data Volume for Whole File Downloads Size, Kb)\nother_size (Monthly Data Volume Other File Types, Kb)\nrequests_redirect (Total Redirected Requests)\nnc_req_redirect (Redirected Requests for NetCDF Files)\ndods_req_redirect (Redirected Dods Requests)\ntext_req_redirect (Redirected Requests for Text Files)\n... (10 more variables)\n https://polarwatch.noaa.gov/erddap/info/polarwatch_datause_monthly/index.htmlTable https://polarwatch.noaa.gov/ https://polarwatch.noaa.gov/erddap/rss/polarwatch_datause_monthly.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=polarwatch_datause_monthly&showErrors=false&email= NOAA/NESDIS/CoastWatch/PolarWatch polarwatch_datause_monthly
https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge.graph https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_elevation_icebridge/ public Sea Ice Surface Elevation from IceBridge ATM LIDAR, Arctic, from 2009 to 2018 Airborne Surveys This dataset contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Gridded Surface Elevation Product. The Gridded Surface Elevation Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019. Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of elevation while still containing enough point measurements for robust statistical calculations. Citation: Users are asked to cite the following publication whenever these data are used:\n            Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.\n        Point of Contact: Laurence.Connor@noaa.gov\n        Data Product Webpage: https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php (external link)\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nAlong_track_Distance (meters)\nAcross_Track_Grid_Cell_Number (Cross-Track Grid Cell Number)\nlongitude (degrees_east)\nlatitude (degrees_north)\nElevation (meters)\nStandard_Deviation (meters)\nNum_Pts (Number of Points)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_elevation_icebridge_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_elevation_icebridge_iso19115.xml https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_elevation_icebridge/index.htmlTable https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php (external link) https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_elevation_icebridge.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_elevation_icebridge&showErrors=false&email= NOAA NESDIS STAR noaa_lsa_surface_elevation_icebridge

 
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