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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://polarwatch.noaa.gov/erddap/griddap/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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/pstere_gridcell_N25k | https://polarwatch.noaa.gov/erddap/griddap/pstere_gridcell_N25k.graph | https://polarwatch.noaa.gov/erddap/files/pstere_gridcell_N25k/ | public | Polar Stereographic Grid Cell Area Values of 25km gridded data sets , Polar Stereographic (North), Ancillary Data | This data set provides the total on-Earth surface area values at the center of each grid cell of 25km polar stereographic gridded data sets (North) distributed by The National Snow and Ice Data Center\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [y][x]):\ncell_area (Grid Cell area, meters^2)\n | https://polarwatch.noaa.gov/erddap/info/pstere_gridcell_N25k/index.htmlTable | https://doi.org/10.5067/N6INPBT8Y104
| https://polarwatch.noaa.gov/erddap/rss/pstere_gridcell_N25k.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pstere_gridcell_N25k&showErrors=false&email= | NASA National Snow and Ice Data Center Distributed Active Archive Center | pstere_gridcell_N25k | |||||
| https://polarwatch.noaa.gov/erddap/griddap/pstere_gridcell_S25k | https://polarwatch.noaa.gov/erddap/griddap/pstere_gridcell_S25k.graph | https://polarwatch.noaa.gov/erddap/files/pstere_gridcell_S25k/ | public | Polar Stereographic Grid Cell Area Values of 25km gridded data sets , Polar Stereographic (South), Ancillary Data | This data set provides the total on-Earth surface area values at the center of each grid cell of 25km polar stereographic gridded data sets (South) distributed by The National Snow and Ice Data Center\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [y][x]):\ncell_area (Grid Cell area, meters^2)\n | https://polarwatch.noaa.gov/erddap/info/pstere_gridcell_S25k/index.htmlTable | https://doi.org/10.5067/N6INPBT8Y104
| https://polarwatch.noaa.gov/erddap/rss/pstere_gridcell_S25k.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pstere_gridcell_S25k&showErrors=false&email= | NASA National Snow and Ice Data Center Distributed Active Archive Center | pstere_gridcell_S25k | |||||
| https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_elevation_icebridge/ | public | Sea Ice Surface Elevation from IceBridge ATM LIDAR, Arctic, from 2009 to 2018 Airborne Surveys | This dataset contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Gridded Surface Elevation Product. The Gridded Surface Elevation Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019. Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of elevation while still containing enough point measurements for robust statistical calculations. Citation: Users are asked to cite the following publication whenever these data are used:\n Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.\n Point of Contact: Laurence.Connor@noaa.gov\n Data Product Webpage: https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nAlong_track_Distance (meters)\nAcross_Track_Grid_Cell_Number (Cross-Track Grid Cell Number)\nlongitude (degrees_east)\nlatitude (degrees_north)\nElevation (meters)\nStandard_Deviation (meters)\nNum_Pts (Number of Points)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_elevation_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_elevation_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_elevation_icebridge/index.htmlTable | https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_elevation_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_elevation_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_surface_elevation_icebridge |