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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://polarwatch.noaa.gov/erddap/tabledap/Argo_BGC_NRT.subset | https://polarwatch.noaa.gov/erddap/tabledap/Argo_BGC_NRT | https://polarwatch.noaa.gov/erddap/tabledap/Argo_BGC_NRT.graph | https://polarwatch.noaa.gov/erddap/files/Argo_BGC_NRT/ | Argo float data from UW/MBARI, BGC-Argo and Core, preliminary near real-time | Quality controlled data from the BGC-Argo floats hosted at MBARI. Includes all GO-BGC (Global Ocean Biogeochemistry array) and SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) floats. Raw data are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files). BGC-Argo formatted netCDF files for all floats including a WMO number are also available on the Argo GDAC (ftp://usgodae.org/pub/outgoing/argo/dac/aoml/). NOTE: These data are served in NEAR REAL-TIME and are PROVIDED AS-IS. Be aware that inaccuracies may be present within the data. While automated quality control procedures are applied during near real-time processing, additional delayed mode quality control (and data adjustments based on comparisons to reference fields) is done at a minimum of twice per year per float. MBARI data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the near real-time data itself or the algorithms used in the generation of derived carbon parameters. It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs. For archived snapshots of the MBARI BGC-Argo profiling float dataset (with DOI), please visit https://library.ucsd.edu/dc/collection/bb4473712z\n\ncdm_data_type = Other\nVARIABLES:\nWMO_ID\nProject_ID\nStation\nRegion\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\npressure (dbar)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Salinity, pss)\nsigma_theta (kg m-3)\nchl_a (Chlorophyll, mg m-3)\n... (34 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/Argo_BGC_NRT_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/Argo_BGC_NRT_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/Argo_BGC_NRT/index.htmlTable | http://www3.mbari.org/lobo/Data/FloatVizData
| https://polarwatch.noaa.gov/erddap/rss/Argo_BGC_NRT.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=Argo_BGC_NRT&showErrors=false&email= | MBARI | Argo_BGC_NRT | ||
| https://polarwatch.noaa.gov/erddap/tabledap/SOCCOM_BGC_Argo_Snapshot_Archive.subset | https://polarwatch.noaa.gov/erddap/tabledap/SOCCOM_BGC_Argo_Snapshot_Archive | https://polarwatch.noaa.gov/erddap/tabledap/SOCCOM_BGC_Argo_Snapshot_Archive.graph | https://polarwatch.noaa.gov/erddap/files/SOCCOM_BGC_Argo_Snapshot_Archive/ | BioGeoChemical-Argo Float data from GO-BGC, SOCCOM and UW-MBARI, Latest Snapshot Archive | This data archive contains quality controlled data from BGC-Argo floats deployed by the Southern Ocean Carbon and Climate Observation and Modeling (SOCCOM) and Global Ocean Biogeochemistry Array (GO-BGC) projects. Data for all floats within this archive were processed by the float data management team at the Monterey Bay Aquarium Research Institute (MBARI). This dataset contains the latest available snapshot archive. Each snapshot archive is assigned a unique DOI, and is hosted on the SOCCOM UCSD library digital collection. All snapshot archives of this dataset are available through the full GO-BGC & SOCCOM joint UCSD library digital collection at https://library.ucsd.edu/dc/collection/bb0488375t. See the DOI and history attibutes for specific references for this snapshot. Float specific metadata, as well as raw and QC files from the near-real time dataset are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files). BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (https://usgodae.org/pub/outgoing/argo/dac/aoml/). NOTE: While delayed-mode quality control (and data adjustments based on comparisons to reference fields) is assessed across the array prior to the generation of each snapshot archive, all data is PROVIDED AS-IS. Be aware that INACCURACIES MAY BE PRESENT within the data. SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the data itself or the algorithms used in the generation of derived carbon parameters. It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.\n\ncdm_data_type = Other\nVARIABLES:\nWMO_ID\nmbariID\nStation\nregion\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\npressure (dbar)\ntemperature (Sea Water Temperature, degree_C)\n... (46 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/SOCCOM_BGC_Argo_Snapshot_Archive_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/SOCCOM_BGC_Argo_Snapshot_Archive_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/SOCCOM_BGC_Argo_Snapshot_Archive/index.htmlTable | https://library.ucsd.edu/dc/object/bb9362707g
| https://polarwatch.noaa.gov/erddap/rss/SOCCOM_BGC_Argo_Snapshot_Archive.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=SOCCOM_BGC_Argo_Snapshot_Archive&showErrors=false&email= | UCSD, SIO, MBARI, WHOI, UW | SOCCOM_BGC_Argo_Snapshot_Archive | ||
| https://polarwatch.noaa.gov/erddap/tabledap/SOCCOM_BGC_Argo.subset | https://polarwatch.noaa.gov/erddap/tabledap/SOCCOM_BGC_Argo | https://polarwatch.noaa.gov/erddap/tabledap/SOCCOM_BGC_Argo.graph | https://polarwatch.noaa.gov/erddap/files/SOCCOM_BGC_Argo/ | BioGeoChemical-Argo Float data from SOCCOM and UW-MBARI, preliminary near real-time | Quality controlled data from the BGCArgo floats hosted on the MBARI website. Includes all the SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) floats. Float specific metadata and the raw data are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files). BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (ftp://usgodae.org/pub/outgoing/argo/dac/aoml/). NOTE: These data are served in NEAR REAL-TIME and are PROVIDED AS-IS. Be aware that INACCURACIES MAY BE PRESENT within the data. While automated quality control procedures are applied during near real-time processing, additional delayed mode quality control (and data adjustments based on comparisons to reference fields) is done at a minimum of twice per year per float. SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the near real-time data itself or the algorithms used in the generation of derived carbon parameters. It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs. For archived snapshots of the SOCCOM dataset (with DOI), please visit https://library.ucsd.edu/dc/collection/bb4473712z\n\ncdm_data_type = Other\nVARIABLES:\nWMO_ID\nmbariID\nStation\nregion\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\npressure (dbar)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Salinity, pss)\nsigma_theta (kg m-3)\nchl_a (Chlorophyll, mg m-3)\nchl_a_corr (Chlorophyll, corrected, mg m-3)\n... (33 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/SOCCOM_BGC_Argo_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/SOCCOM_BGC_Argo_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/SOCCOM_BGC_Argo/index.htmlTable | http://www3.mbari.org/lobo/Data/FloatVizData
| https://polarwatch.noaa.gov/erddap/rss/SOCCOM_BGC_Argo.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=SOCCOM_BGC_Argo&showErrors=false&email= | MBARI | SOCCOM_BGC_Argo | ||
| 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
| 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/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily | https://polarwatch.noaa.gov/erddap/griddap/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily/request | https://polarwatch.noaa.gov/erddap/files/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily/ | Chlorophyll (Gap-filled DINEOF), NOAA S-NPP NOAA-20, VIIRS, Near Real-Time, Global 9km, 2020-present, Daily | Visible and Infrared Imager/Radiometer Suite/Suomi-NPP NOAA-20 (VIIRS) Level-3 (WW00), Chlorophyll, DINEOF, Gap filled, MSL12, 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, DINEOF Gap-Filled, mg m^-3)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily/index.htmlTable | https://coastwatch.noaa.gov/
| https://polarwatch.noaa.gov/erddap/rss/nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily&showErrors=false&email= | NOAA NESDIS CoastWatch | nesdisVHNnoaaSNPPnoaa20NRTchlaGapfilledDaily | ||
| 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
| 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
| 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/tabledap/erddap_logs_monthly.subset | https://polarwatch.noaa.gov/erddap/tabledap/erddap_logs_monthly | https://polarwatch.noaa.gov/erddap/tabledap/erddap_logs_monthly.graph | https://polarwatch.noaa.gov/erddap/files/erddap_logs_monthly/ | CoastWatch ERDDAP Data Usage | Data from a local source.\n\ncdm_data_type = Other\nVARIABLES:\ndataset_id (ERDDAP Dataset ID)\ndata_volume (Monthly Data Volume, Mb)\nrequests (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 Graphic)\njson_req (Monthly Requests for Data in JSON Format)\nmat_req (Monthly Requests for Data in MATLAB Format)\nimages_req (Monthly Requests for Images)\nother_req (Monthly Requests Data in Other Formats)\nnc_size (Monthly Data Volume in NetCDF Format)\ndods_size (Monthly Data Volume in OpenDAP Format)\ntext_size (Monthly Data Volume in Text Format)\nmetadata_size (Monthly Data Volume for Metadata)\ngraph_size (Monthly Data Volume for Graphics)\njson_size (Monthly Data Volume in JSON Format)\nmat_size (Monthly Data Volume in MATLAB Format)\nimages_size (Monthly Data Volume for Images)\nother_size (Monthly Data Volume for Other Format)\nunique_visitors (Unique Monthly Visitors to this ERDDAP)\ntime_epoch (Time in Seconds Since Jan 1, 1970)\ntime (seconds since 1970-01-01T00:00:00Z)\n | https://polarwatch.noaa.gov/erddap/info/erddap_logs_monthly/index.htmlTable | https://coastwatch.pfeg.noaa.gov/erddap/
| https://polarwatch.noaa.gov/erddap/rss/erddap_logs_monthly.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erddap_logs_monthly&showErrors=false&email= | NOAA/CoastWatch/West Coast Node, NOAA /WFSC/ERD | erddap_logs_monthly | ||||
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/erdGtsppBest.subset | https://polarwatch.noaa.gov/erddap/tabledap/erdGtsppBest | https://polarwatch.noaa.gov/erddap/tabledap/erdGtsppBest.graph | https://polarwatch.noaa.gov/erddap/files/erdGtsppBest/ | Global Temperature and Salinity Profile Programme (GTSPP) Data, 1985-present | The Global Temperature-Salinity Profile Programme (GTSPP) develops and maintains a global ocean temperature and salinity resource with data that are both up-to-date and of the highest quality. It is a joint World Meteorological Organization (WMO) and Intergovernmental Oceanographic Commission (IOC) program. It includes data from XBTs, CTDs, moored and drifting buoys, and PALACE floats. For information about organizations contributing data to GTSPP, see http://gosic.org/goos/GTSPP-data-flow.htm . The U.S. National Oceanographic Data Center (NODC) maintains the GTSPP Continuously Managed Data Base and releases new 'best-copy' data once per month.\n\nWARNING: This dataset has a *lot* of data. If you request too much data, your request will fail.\n* If you don't specify a longitude and latitude bounding box, don't request more than a month's data at a time.\n* If you do specify a longitude and latitude bounding box, you can request data for a proportionally longer time period.\nRequesting data for a specific station_id may be slow, but it works.\n\n*** This ERDDAP dataset has data for the entire world for all available times (currently, up to and including the January 2024 data) but is a subset of the original NODC 'best-copy' data. It only includes data where the quality flags indicate the data is 1=CORRECT, 2=PROBABLY GOOD, or 5=MODIFIED. It does not include some of the metadata, any of the history data, or any of the quality flag data of the original dataset. You can always get the complete, up-to-date dataset (and additional, near-real-time data) from the source: https://www.nodc.noaa.gov/GTSPP/ . Specific differences are:\n* Profiles with a position_quality_flag or a time_quality_flag other than 1|2|5 were removed.\n* Rows with a depth (z) value less than -0.4 or greater than 10000 or a z_variable_quality_flag other than 1|2|5 were removed.\n* Temperature values less than -4 or greater than 40 or with a temperature_quality_flag other than 1|2|5 were set to NaN.\n* Salinity values less than 0 or greater than 41 or with a salinity_quality_flag other than 1|2|5 were set to NaN.\n* Time values were converted from \"days since 1900-01-01 00:00:00\" to \"seconds since 1970-01-01T00:00:00\".\n\nSee the Quality Flag definitions on page 5 and \"Table 2.1: Global Impossible Parameter Values\" on page 61 of\nhttps://www.nodc.noaa.gov/GTSPP/document/qcmans/GTSPP_RT_QC_Manual_20090916.pdf .\nThe Quality Flag definitions are also at\nhttps://www.nodc.noaa.gov/GTSPP/document/qcmans/qcflags.htm .\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory ID)\n... (11 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdGtsppBest_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdGtsppBest_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdGtsppBest/index.htmlTable | https://www.nodc.noaa.gov/GTSPP/
| https://polarwatch.noaa.gov/erddap/rss/erdGtsppBest.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdGtsppBest&showErrors=false&email= | NOAA NODC | erdGtsppBest | ||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcNP06Daily | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcNP06Daily.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20iceconcNP06Daily/ | Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily | 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/noaacwVIIRSn20iceconcNP06Daily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20iceconcNP06Daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20iceconcNP06Daily&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20iceconcNP06Daily | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcNP06Daily4Day | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcNP06Daily4Day.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20iceconcNP06Daily4Day/ | Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite | 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/noaacwVIIRSn20iceconcNP06Daily4Day/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20iceconcNP06Daily4Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20iceconcNP06Daily4Day&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20iceconcNP06Daily4Day | |||||
| 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
| 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/noaacwVIIRSn20iceconcSP06Daily4Day | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20iceconcSP06Daily4Day.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20iceconcSP06Daily4Day/ | Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite | 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/noaacwVIIRSn20iceconcSP06Daily4Day/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20iceconcSP06Daily4Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20iceconcSP06Daily4Day&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20iceconcSP06Daily4Day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempNP06Daily | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempNP06Daily.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icesrftempNP06Daily/ | Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily | 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]):\nIceSrfTemp (Ice Surface Temp, Kelvin(K))\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icesrftempNP06Daily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icesrftempNP06Daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icesrftempNP06Daily&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icesrftempNP06Daily | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempNP06Daily4Day | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempNP06Daily4Day.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icesrftempNP06Daily4Day/ | Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite | 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]):\nIceSrfTemp (Ice Surface Temp, Kelvin(K))\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icesrftempNP06Daily4Day/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icesrftempNP06Daily4Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icesrftempNP06Daily4Day&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icesrftempNP06Daily4Day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempSP06Daily | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempSP06Daily.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icesrftempSP06Daily/ | Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily | 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]):\nIceSrfTemp (Ice Surface Temp, Kelvin(K))\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icesrftempSP06Daily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icesrftempSP06Daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icesrftempSP06Daily&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icesrftempSP06Daily | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempSP06Daily4Day | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icesrftempSP06Daily4Day.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icesrftempSP06Daily4Day/ | Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite | 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]):\nIceSrfTemp (Ice Surface Temp, Kelvin(K))\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icesrftempSP06Daily4Day/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icesrftempSP06Daily4Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icesrftempSP06Daily4Day&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icesrftempSP06Daily4Day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickNP06Daily | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickNP06Daily.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icethickNP06Daily/ | Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily | Enterprise Ice Thickness/ Age Products\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceThickness (Ice thickness, meter)\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icethickNP06Daily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icethickNP06Daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icethickNP06Daily&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icethickNP06Daily | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickNP06Daily4Day | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickNP06Daily4Day.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icethickNP06Daily4Day/ | Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite | Enterprise Ice Thickness/ Age Products\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceThickness (Ice thickness, meter)\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icethickNP06Daily4Day/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icethickNP06Daily4Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icethickNP06Daily4Day&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icethickNP06Daily4Day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickSP06Daily | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickSP06Daily.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icethickSP06Daily/ | Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily | Enterprise Ice Thickness/ Age Products\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceThickness (Ice thickness, meter)\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icethickSP06Daily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icethickSP06Daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icethickSP06Daily&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icethickSP06Daily | |||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickSP06Daily4Day | https://polarwatch.noaa.gov/erddap/griddap/noaacwVIIRSn20icethickSP06Daily4Day.graph | https://polarwatch.noaa.gov/erddap/files/noaacwVIIRSn20icethickSP06Daily4Day/ | Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite | Enterprise Ice Thickness/ Age Products\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceThickness (Ice thickness, meter)\n | https://polarwatch.noaa.gov/erddap/info/noaacwVIIRSn20icethickSP06Daily4Day/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/noaacwVIIRSn20icethickSP06Daily4Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwVIIRSn20icethickSP06Daily4Day&showErrors=false&email= | NOAA NESDIS CoastWatch | noaacwVIIRSn20icethickSP06Daily4Day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AkdSCIDINEOFDaily | https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AkdSCIDINEOFDaily.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisNPPN20S3AkdSCIDINEOFDaily/request | https://polarwatch.noaa.gov/erddap/files/nesdisNPPN20S3AkdSCIDINEOFDaily/ | Kd490 (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily | Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nkd_490 (Diffuse attenuation coefficient at 490 nm, kd2 algorithm, m^-1)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisNPPN20S3AkdSCIDINEOFDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisNPPN20S3AkdSCIDINEOFDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisNPPN20S3AkdSCIDINEOFDaily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisNPPN20S3AkdSCIDINEOFDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisNPPN20S3AkdSCIDINEOFDaily&showErrors=false&email= | NOAA NESDIS STAR | nesdisNPPN20S3AkdSCIDINEOFDaily | ||
| https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet.subset | https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet | https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet.graph | https://polarwatch.noaa.gov/erddap/files/cwwcNDBCMet/ | NDBC Standard Meteorological Buoy Data, 1970-present | The National Data Buoy Center (NDBC) distributes meteorological data from\nmoored buoys maintained by NDBC and others. Moored buoys are the weather\nsentinels of the sea. They are deployed in the coastal and offshore waters\nfrom the western Atlantic to the Pacific Ocean around Hawaii, and from the\nBering Sea to the South Pacific. NDBC's moored buoys measure and transmit\nbarometric pressure; wind direction, speed, and gust; air and sea\ntemperature; and wave energy spectra from which significant wave height,\ndominant wave period, and average wave period are derived. Even the\ndirection of wave propagation is measured on many moored buoys. See\nhttps://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.\n\nThe source data from NOAA NDBC has different column names, different units,\nand different missing values in different files, and other problems\n(notably, lots of rows with duplicate or different values for the same time\npoint). This dataset is a standardized, reformatted, and lightly edited\nversion of that source data, created by NOAA NMFS SWFSC ERD (email:\nerd.data at noaa.gov). Before 2020-01-29, this dataset only had the data\nthat was closest to a given hour, rounded to the nearest hour. Now, this\ndataset has all of the data available from NDBC with the original time\nvalues. If there are multiple source rows for a given buoy for a given\ntime, only the row with the most non-NaN data values is kept. If there is\na gap in the data, a row of missing values is inserted (which causes a nice\ngap when the data is graphed). Also, some impossible data values are\nremoved, but this data is not perfectly clean. This dataset is now updated\nevery 5 minutes.\n\nThis dataset has both historical data (quality controlled, before\n2022-10-01T00:00:00Z) and near real time data (less quality controlled,\nwhich may change at any time, from 2022-10-01T00:00:00Z on).\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation (Station Identifier)\n... (19 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/cwwcNDBCMet_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/cwwcNDBCMet_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/cwwcNDBCMet/index.htmlTable | https://www.ndbc.noaa.gov/
| https://polarwatch.noaa.gov/erddap/rss/cwwcNDBCMet.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=cwwcNDBCMet&showErrors=false&email= | NOAA NDBC, NOAA NMFS SWFSC ERD | cwwcNDBCMet | ||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisSSH1day | https://polarwatch.noaa.gov/erddap/griddap/nesdisSSH1day.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisSSH1day/request | https://polarwatch.noaa.gov/erddap/files/nesdisSSH1day/ | NOAA CoastWatch, Sea Surface Height Anomalies from Altimetry, Global, 2017-present, EXPERIMENTAL | The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea Level Anomalies, m)\nugos (Absolute Geostrophic Velocity: Zonal Component, m s-1)\nvgos (Absolute Geostrophic Velocity: Meridian Component, m s-1)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisSSH1day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisSSH1day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisSSH1day/index.htmlTable | https://coastwatch.noaa.gov/cw_html/SSH_SeaLevelAnomaly.html
| https://polarwatch.noaa.gov/erddap/rss/nesdisSSH1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisSSH1day&showErrors=false&email= | NOAA/NESDIS Center for Satellite Applications and Research | nesdisSSH1day | ||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwSARnrcsnpoleDaily | https://polarwatch.noaa.gov/erddap/griddap/noaacwSARnrcsnpoleDaily.graph | https://polarwatch.noaa.gov/erddap/files/noaacwSARnrcsnpoleDaily/ | Normalized Radar Cross Section, SAR Composite, Near Real-Time, 1km, North Pole, Daily | This file contains a composite of Synthetic Aperture Radar (SAR) Normalized Radar Cross Section (NRCS) images covering the Arctic for a period of one day. The files are produced in SAROPS (SAR Operational Product System) by the Water Surface Conditions/Sea Surface Roughness group within the NOAA STAR Satellite Oceanography and Climatology Division. Data from the following C-Band SAR systems are included: Sentinel-1A/B, RADARSAT-2, and RADARSAT Constellation Mission. NRCS values have been calibrated with values given by the SAR data provider. Daily coverage may vary due to limitations in data availability.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][y][x]):\nNRCS (Normalized Radar Cross Section, 1)\n | https://polarwatch.noaa.gov/erddap/info/noaacwSARnrcsnpoleDaily/index.htmlTable | https://www.star.nesdis.noaa.gov/socd/mecb/sar/index.html
| https://polarwatch.noaa.gov/erddap/rss/noaacwSARnrcsnpoleDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwSARnrcsnpoleDaily&showErrors=false&email= | NOAA/NESDIS/STAR/SOCD | noaacwSARnrcsnpoleDaily | |||||
| https://polarwatch.noaa.gov/erddap/tabledap/aadcArgos | https://polarwatch.noaa.gov/erddap/tabledap/aadcArgos.graph | OBIS - ARGOS Satellite Tracking of Animals | Various species have been tracked using ARGOS PTT trackers since the early 1990's. These include Emperor, King and Adelie pengiuns, Light-mantled Sooty, Grey-headed and Black-browed albatrosses, Antarctic and Australian fur seals, Southern Elephant Seal and Blue and Humpback whales. Note that not all data for any species or locations is or will be exposed to OBIS. Geographic coverage is from Heard Island to the west and Macquarie Island to the east and several islands near the southern end of Chile. The data has been filtered to remove most but not all erroneous positions.\n\n DiGIR is an engine which takes XML requests for data and returns a data\nsubset stored as XML data (as defined in a schema). For more DiGIR\ninformation, see http://digir.sourceforge.net/ ,\nhttp://diveintodigir.ecoforge.net/draft/digirdive.html ,\nand http://digir.net/prov/prov_manual.html .\nA list of Digir providers is at\nhttp://bigdig.ecoforge.net/wiki/SchemaStatus .\n\nDarwin is the original schema for use with the DiGIR engine.\n\nThe Ocean Biogeographic Information System (OBIS) schema extends\nDarwin. For more OBIS info, see http://www.iobis.org .\nSee the OBIS schema at http://www.iobis.org/tech/provider/questions .\n\nQueries: Although OBIS datasets have many variables, most variables\nhave few values. The only queries that are likely to succeed MUST\ninclude a constraint for Genus= and MAY include constraints for\nSpecies=, longitude, latitude, and time.\n\nMost OBIS datasets return a maximum of 1000 rows of data per request.\nThe limitation is imposed by the OBIS administrators.\n\n Available Genera (and number of records): (error)\n\ncdm_data_type = Point\nVARIABLES:\nlongitude (degrees_east)\n... (76 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/aadcArgos_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/aadcArgos_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/aadcArgos/index.htmlTable | https://data.aad.gov.au/
| https://polarwatch.noaa.gov/erddap/rss/aadcArgos.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=aadcArgos&showErrors=false&email= | AADC | aadcArgos | ||||
| 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/ | 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/polarwatch_erddap_stats_monthly.subset | https://polarwatch.noaa.gov/erddap/tabledap/polarwatch_erddap_stats_monthly | https://polarwatch.noaa.gov/erddap/tabledap/polarwatch_erddap_stats_monthly.graph | https://polarwatch.noaa.gov/erddap/files/polarwatch_erddap_stats_monthly/ | Polarwatch ERDDAP Data Usage | Data from a local source.\n\ncdm_data_type = Other\nVARIABLES:\ndataset_id (ERDDAP Dataset ID)\ndata_volume (Monthly Data Volume, Mb)\nrequests (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 Graphic)\njson_req (Monthly Requests for Data in JSON Format)\nmat_req (Monthly Requests for Data in MATLAB Format)\nimages_req (Monthly Requests for Images)\nother_req (Monthly Requests Data in Other Formats)\nnc_size (Monthly Data Volume in NetCDF Format)\ndods_size (Monthly Data Volume in OpenDAP Format)\ntext_size (Monthly Data Volume in Text Format)\nmetadata_size (Monthly Data Volume for Metadata)\ngraph_size (Monthly Data Volume for Graphics)\njson_size (Monthly Data Volume in JSON Format)\nmat_size (Monthly Data Volume in MATLAB Format)\nimages_size (Monthly Data Volume for Images)\nother_size (Monthly Data Volume for Other Format)\nunique_visitors (Unique Monthly Visitors to this ERDDAP)\ntime_epoch (Time in Seconds Since Jan 1, 1970)\ntime (seconds since 1970-01-01T00:00:00Z)\n | https://polarwatch.noaa.gov/erddap/info/polarwatch_erddap_stats_monthly/index.htmlTable | https://polarwatch.noaa.gov/erddap/ | https://polarwatch.noaa.gov/erddap/rss/polarwatch_erddap_stats_monthly.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=polarwatch_erddap_stats_monthly&showErrors=false&email= | NOAA/CoastWatch/PolarWatch, NOAA /WFSC/ERD | polarwatch_erddap_stats_monthly | ||||
| https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipNEPP.subset | https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipNEPP | https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipNEPP.graph | https://polarwatch.noaa.gov/erddap/files/fsuResearchShipNEPP/ | Research Ship Healy Underway Meteorological Data, Quality Controlled | Research Ship Healy Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.\n\nIMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data. ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't. For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:\n flag=~\"ZZZ........Z.*\"\nin your query.\n'=~' indicates this is a regular expression constraint.\nThe 'Z's are literal characters. In this dataset, 'Z' indicates 'good' data.\nThe '.'s say to match any character.\nThe '*' says to match the previous character 0 or more times.\n(Don't include backslashes in your query.)\nSee the tutorial for regular expressions at\nhttps://www.vogella.com/tutorials/JavaRegularExpressions/article.html\n\ncdm_data_type = Trajectory\nVARIABLES:\nID (Call Sign)\nsite (Ship Name)\nIMO\ncruise_id\nexpocode\nfacility\nplatform\nplatform_version\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (22 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/fsuResearchShipNEPP_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/fsuResearchShipNEPP_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/fsuResearchShipNEPP/index.htmlTable | https://samos.coaps.fsu.edu/html/
| https://polarwatch.noaa.gov/erddap/rss/fsuResearchShipNEPP.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=fsuResearchShipNEPP&showErrors=false&email= | FSU | fsuResearchShipNEPP | ||
| https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipWCX7445nrt.subset | https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipWCX7445nrt | https://polarwatch.noaa.gov/erddap/tabledap/fsuResearchShipWCX7445nrt.graph | https://polarwatch.noaa.gov/erddap/files/fsuResearchShipWCX7445nrt/ | Research Ship Laurence M. Gould Underway Meteorological Data, Quality Controlled | Research Ship Laurence M. Gould Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.\n\nIMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data. ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't. For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:\n flag=~\"ZZZ........Z.*\"\nin your query.\n'=~' indicates this is a regular expression constraint.\nThe 'Z's are literal characters. In this dataset, 'Z' indicates 'good' data.\nThe '.'s say to match any character.\nThe '*' says to match the previous character 0 or more times.\n(Don't include backslashes in your query.)\nSee the tutorial for regular expressions at\nhttps://www.vogella.com/tutorials/JavaRegularExpressions/article.html\n\ncdm_data_type = Trajectory\nVARIABLES:\nID (Call Sign)\nsite (Ship Name)\nIMO\ncruise_id\nexpocode\nfacility\nplatform\nplatform_version\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (21 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/fsuResearchShipWCX7445nrt_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/fsuResearchShipWCX7445nrt_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/fsuResearchShipWCX7445nrt/index.htmlTable | https://samos.coaps.fsu.edu/html/
| https://polarwatch.noaa.gov/erddap/rss/fsuResearchShipWCX7445nrt.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=fsuResearchShipWCX7445nrt&showErrors=false&email= | FSU | fsuResearchShipWCX7445nrt | ||
| 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
| 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/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
| 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/nesdis_blendedsic_nhem_daily | https://polarwatch.noaa.gov/erddap/griddap/nesdis_blendedsic_nhem_daily.graph | https://polarwatch.noaa.gov/erddap/files/nesdis_blendedsic_nhem_daily/ | Sea Ice Concentration, AMSR2/VIIRS, Arctic, 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_nhem_daily/index.htmlTable | https://www.mdpi.com/2072-4292/13/15/2982
| https://polarwatch.noaa.gov/erddap/rss/nesdis_blendedsic_nhem_daily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdis_blendedsic_nhem_daily&showErrors=false&email= | Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison | nesdis_blendedsic_nhem_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/
| 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/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/
| 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/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/
| 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/
| 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/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/
| 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/tabledap/noaa_lsa_sail_height_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_sail_height_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_sail_height_icebridge/ | Sea Ice Pressure Ridge Sail Height from DMS IceBridge Imagery, Arctic, 25km, from 2010 - 2018 Airborne Surveys | This data file contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Sail-Height Product. The Arctic Sail-Height Product is derived from high-resolution Digital Mapping System (DMS) imagery of sea ice pressure ridges acquired during annual, low-elevation NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge observations were acquired between March and May, 2010 - 2018. Statistics for pressure ridge sails are extracted per image, then are further processed into arithmetic averages for 25km along-track segments for each aircraft flight line.\n\n Users are asked to cite the following publication whenever these data are used: Duncan, K., Farrell, S., Connor, L., Richter-Menge, J., Hutchings, J., & Dominguez, R. (2018). High-resolution airborne observations of sea-ice pressure ridge sail height. Annals of Glaciology, 59(76), 137-147. doi:10.1017/aog.2018.2\n\n Point of Contact: Laurence.Connor@noaa.gov\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nNumber_of_Images\nNumber_of_sail_height_measurements\nMean_sail_height (m)\nModal_sail_height (m)\nMaximum_sail_height (m)\nSail_height_standard_deviation (m)\nSail_height_5th_percentile (m)\nSail_height_25th_percentile (m)\nSail_height_75th_percentile (m)\nSail_height_95th_percentile (m)\nSail_height_99th_percentile (m)\nDMS_First_Image_Filename\nDMS_Last_Image_Filename\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_sail_height_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_sail_height_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_sail_height_icebridge/index.htmlTable | https://star.nesdis.noaa.gov/sod/lsa/SeaIce/PressureRidgeSailHeight.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_sail_height_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_sail_height_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_sail_height_icebridge | |||
| https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_elevation_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_elevation_icebridge/ | Sea Ice Surface Elevation from IceBridge ATM LIDAR, Arctic, from 2009 to 2018 Airborne Surveys | This dataset contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Gridded Surface Elevation Product. The Gridded Surface Elevation Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019. Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of elevation while still containing enough point measurements for robust statistical calculations. Citation: Users are asked to cite the following publication whenever these data are used:\n Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.\n Point of Contact: Laurence.Connor@noaa.gov\n Data Product Webpage: https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nAlong_track_Distance (meters)\nAcross_Track_Grid_Cell_Number (Cross-Track Grid Cell Number)\nlongitude (degrees_east)\nlatitude (degrees_north)\nElevation (meters)\nStandard_Deviation (meters)\nNum_Pts (Number of Points)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_elevation_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_elevation_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_elevation_icebridge/index.htmlTable | https://www.star.nesdis.noaa.gov/sod/lsa/SeaIce/SurfaceElevation.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_elevation_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_elevation_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_surface_elevation_icebridge | |||
| https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_roughness_icebridge | https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_roughness_icebridge.graph | https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_roughness_icebridge/ | Sea Ice Surface Roughness from IceBridge ATM LIDAR, Arctic, 10km, from 2009 to 2018 Airborne Surveys | This data file contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Surface Roughness Product. The Arctic Surface Roughness Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019.\n Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of sea ice surface roughness while still containing enough point measurements for robust statistical calculations. Statistics are computed on the distribution of sea ice surface roughness for 10 km along-track segments, for each aircraft flight line.\n\n Users are asked to cite the following publication whenever these data are used: Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.\n\n Point of Contact: Laurence.Connor@noaa.gov\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMean_surface_roughness (Meters)\nMaximum_surface_roughness (Meters)\nSurface_roughness_5th_percentile (Meters)\nSurface_roughness_25th_percentile (Meters)\nSurface_roughness_75th_percentile (Meters)\nSurface_roughness_95th_percentile (Meters)\nSurface_roughness_99th_percentile (Meters)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_roughness_icebridge_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_roughness_icebridge_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_roughness_icebridge/index.htmlTable | https://star.nesdis.noaa.gov/socd/lsa/SeaIce/SeaIceSurfaceRoughness.php
| https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_roughness_icebridge.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_roughness_icebridge&showErrors=false&email= | NOAA NESDIS STAR | noaa_lsa_surface_roughness_icebridge | |||
| https://polarwatch.noaa.gov/erddap/griddap/ncei_polarAPPX20_nhem | https://polarwatch.noaa.gov/erddap/griddap/ncei_polarAPPX20_nhem.graph | https://polarwatch.noaa.gov/erddap/files/ncei_polarAPPX20_nhem/ | Sea Ice Thickness and Multi-variable Extended AVHRR Polar Pathfinder APP-X NCEI Climate Data Record V2, Arctic, 1982-Present, Twice Daily | summary\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][rows][columns]):\ncdr_sea_ice_thickness (NOAA CDR of sea ice thickness, m)\ncdr_surface_temperature (NOAA CDR of surface skin temperature, degree_K)\ncdr_surface_albedo (NOAA CDR of surface broadband albedo, 1)\ncdr_surface_downwelling_shortwave_flux (NOAA CDR of surface downwelling shortwave radiative flux, W m-2)\ncdr_surface_downwelling_longwave_flux (NOAA CDR of surface downwelling longwave radiative flux, W m-2)\ncdr_surface_upwelling_shortwave_flux (NOAA CDR of surface upwelling shortwave radiative flux, W m-2)\ncdr_surface_upwelling_longwave_flux (NOAA CDR of surface upwelling longwave radiative flux, W m-2)\ncdr_cloud_binary_mask (NOAA CDR of cloud mask, 1)\ncdr_toa_net_downward_shortwave_flux (NOAA CDR of TOA net downward shortwave radiative flux, W m-2)\ncdr_toa_outgoing_shortwave_flux (NOAA CDR of TOA outgoing shortwave radiative flux, W m-2)\ncdr_toa_outgoing_longwave_flux (NOAA CDR of TOA outgoing longwave radiative flux, W m-2)\nsurface_type (1)\ncloud_particle_phase (1)\ncloud_particle_radius (microns)\ncloud_optical_depth (1)\ncloud_top_pressure (hPa)\ncloud_top_temperature (K)\ncloud_type (1)\nsurface_shortwave_cloud_radiative_forcing (W m-2)\nsurface_longwave_cloud_radiative_forcing (W m-2)\n | https://polarwatch.noaa.gov/erddap/info/ncei_polarAPPX20_nhem/index.htmlTable | https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc:C00941/html
| https://polarwatch.noaa.gov/erddap/rss/ncei_polarAPPX20_nhem.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ncei_polarAPPX20_nhem&showErrors=false&email= | NOAA/NCEI | ncei_polarAPPX20_nhem | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AspmSCIDINEOFDaily | https://polarwatch.noaa.gov/erddap/griddap/nesdisNPPN20S3AspmSCIDINEOFDaily.graph | https://polarwatch.noaa.gov/erddap/wms/nesdisNPPN20S3AspmSCIDINEOFDaily/request | https://polarwatch.noaa.gov/erddap/files/nesdisNPPN20S3AspmSCIDINEOFDaily/ | Suspended Particulate Matter (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily | Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nspm (Suspended Particulate Matter, mg l-1)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/nesdisNPPN20S3AspmSCIDINEOFDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/nesdisNPPN20S3AspmSCIDINEOFDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/nesdisNPPN20S3AspmSCIDINEOFDaily/index.htmlTable | https://coastwatch.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/nesdisNPPN20S3AspmSCIDINEOFDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nesdisNPPN20S3AspmSCIDINEOFDaily&showErrors=false&email= | NOAA NESDIS STAR | nesdisNPPN20S3AspmSCIDINEOFDaily |