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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://polarwatch.noaa.gov/erddap/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/ | public | 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/ | public | 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.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... (49 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://doi.org/10.6075/J0WD40X8
| 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/ | public | 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/tabledap/dfo-marvin1003-20221129T1938.subset | https://polarwatch.noaa.gov/erddap/tabledap/dfo-marvin1003-20221129T1938 | https://polarwatch.noaa.gov/erddap/tabledap/dfo-marvin1003-20221129T1938.graph | https://polarwatch.noaa.gov/erddap/files/dfo-marvin1003-20221129T1938/ | public | dfo-marvin1003-20221129T1938 | Glider deployed near Calvert Island BC as part of the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to deployment location.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter_700 (700 nm wavelength backscatter, 1)\ncdom (ppb)\nchlorophyll (mg m-3)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ndensity (Sea Water Density, kg m-3)\ndistance_over_ground (distance over ground flown since mission start, km)\nheading (glider heading angle, rad)\ninstrument_ctd (CTD Metadata, 1)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\npitch (glider pitch angle, rad)\nplatform_meta (Platform Metadata, 1)\npotential_density (water potential density, kg m-3)\npotential_temperature (water potential temperature, Celsius)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\n... (37 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/dfo-marvin1003-20221129T1938_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/dfo-marvin1003-20221129T1938_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/dfo-marvin1003-20221129T1938/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/dfo-marvin1003-20221129T1938.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=dfo-marvin1003-20221129T1938&showErrors=false&email= | C-PROOF | dfo-marvin1003-20221129T1938 | ||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColor8Day.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColor8Day/request | public | ESA CCI Ocean Colour Product (CCI ALL-v5.0-8DAY), 0.04166666°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColor8Day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColor8Day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColor8Day/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColor8Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColor8Day&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI50OceanColor8Day | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI50OceanColorMonthly.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI50OceanColorMonthly/request | public | ESA CCI Ocean Colour Product (CCI ALL-v5.0-MONTHLY), 0.04166666°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\nRrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)\nRrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)\nRrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)\nwater_class1 (Mean of normalised water class 1 membership over the compositing period)\nwater_class2 (Mean of normalised water class 2 membership over the compositing period)\nwater_class3 (Mean of normalised water class 3 membership over the compositing period)\n... (83 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI50OceanColorMonthly_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI50OceanColorMonthly_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI50OceanColorMonthly/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI50OceanColorMonthly.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI50OceanColorMonthly&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI50OceanColorMonthly | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor5Day | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor5Day.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColor5Day/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-5DAY), 0.041666668°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 5 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColor5Day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColor5Day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColor5Day/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColor5Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColor5Day&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColor5Day | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor8Day | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColor8Day.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColor8Day/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-8DAY), 0.041666668°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColor8Day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColor8Day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColor8Day/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColor8Day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColor8Day&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColor8Day | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorDaily | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorDaily.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColorDaily/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-DAILY), 0.041666668°, 1997-present | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nMERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)\nMODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)\nOLCI_A_nobs (Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell)\nOLCI_B_nobs (Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell)\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColorDaily_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColorDaily_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColorDaily/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColorDaily.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColorDaily&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColorDaily | |||
| https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorMonthly | https://polarwatch.noaa.gov/erddap/griddap/pmlEsaCCI60OceanColorMonthly.graph | https://polarwatch.noaa.gov/erddap/wms/pmlEsaCCI60OceanColorMonthly/request | public | ESA CCI Ocean Colour Product (CCI ALL-v6.0-MONTHLY), 0.041666668°, 1997-2022 | Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30; at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER. The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP. Derived products were generally computed with the standard algorithms through SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nRrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)\nRrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)\nRrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)\n... (86 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/pmlEsaCCI60OceanColorMonthly_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/pmlEsaCCI60OceanColorMonthly_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/pmlEsaCCI60OceanColorMonthly/index.htmlTable | https://esa-oceancolour-cci.org/
| https://polarwatch.noaa.gov/erddap/rss/pmlEsaCCI60OceanColorMonthly.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=pmlEsaCCI60OceanColorMonthly&showErrors=false&email= | Plymouth Marine Laboratory | pmlEsaCCI60OceanColorMonthly | |||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_365-20200825T0829.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_365-20200825T0829 | https://polarwatch.noaa.gov/erddap/tabledap/gi_365-20200825T0829.graph | https://polarwatch.noaa.gov/erddap/files/gi_365-20200825T0829/ | public | gi_365-20200825T0829 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_365-20200825T0829_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_365-20200825T0829_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_365-20200825T0829/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_365-20200825T0829.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_365-20200825T0829&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_365-20200825T0829 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_469-20210811T0404.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_469-20210811T0404 | https://polarwatch.noaa.gov/erddap/tabledap/gi_469-20210811T0404.graph | https://polarwatch.noaa.gov/erddap/files/gi_469-20210811T0404/ | public | gi_469-20210811T0404 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nCDOM (Fluorometric CDOM Concentration, ppb)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nPAR (Photosynthetically Active Radiation, umol m-2 s-1)\npitch (Glider Vehicle Pitch Angle, degrees)\n... (40 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_469-20210811T0404_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_469-20210811T0404_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_469-20210811T0404/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_469-20210811T0404.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_469-20210811T0404&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_469-20210811T0404 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_477-20140910T2300.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_477-20140910T2300 | https://polarwatch.noaa.gov/erddap/tabledap/gi_477-20140910T2300.graph | https://polarwatch.noaa.gov/erddap/files/gi_477-20140910T2300/ | public | gi_477-20140910T2300 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_477-20140910T2300_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_477-20140910T2300_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_477-20140910T2300/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_477-20140910T2300.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_477-20140910T2300&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_477-20140910T2300 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_484-20150817T1025.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_484-20150817T1025 | https://polarwatch.noaa.gov/erddap/tabledap/gi_484-20150817T1025.graph | https://polarwatch.noaa.gov/erddap/files/gi_484-20150817T1025/ | public | gi_484-20150817T1025 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_484-20150817T1025_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_484-20150817T1025_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_484-20150817T1025/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_484-20150817T1025.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_484-20150817T1025&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_484-20150817T1025 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_484-20160709T1032.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_484-20160709T1032 | https://polarwatch.noaa.gov/erddap/tabledap/gi_484-20160709T1032.graph | https://polarwatch.noaa.gov/erddap/files/gi_484-20160709T1032/ | public | gi_484-20160709T1032 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_484-20160709T1032_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_484-20160709T1032_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_484-20160709T1032/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_484-20160709T1032.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_484-20160709T1032&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_484-20160709T1032 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_485-20150817T1036.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_485-20150817T1036 | https://polarwatch.noaa.gov/erddap/tabledap/gi_485-20150817T1036.graph | https://polarwatch.noaa.gov/erddap/files/gi_485-20150817T1036/ | public | gi_485-20150817T1036 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_485-20150817T1036_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_485-20150817T1036_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_485-20150817T1036/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_485-20150817T1036.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_485-20150817T1036&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_485-20150817T1036 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_493-20170809T1222.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_493-20170809T1222 | https://polarwatch.noaa.gov/erddap/tabledap/gi_493-20170809T1222.graph | https://polarwatch.noaa.gov/erddap/files/gi_493-20170809T1222/ | public | gi_493-20170809T1222 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_493-20170809T1222_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_493-20170809T1222_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_493-20170809T1222/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_493-20170809T1222.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_493-20170809T1222&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_493-20170809T1222 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_495-20150817T1402.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_495-20150817T1402 | https://polarwatch.noaa.gov/erddap/tabledap/gi_495-20150817T1402.graph | https://polarwatch.noaa.gov/erddap/files/gi_495-20150817T1402/ | public | gi_495-20150817T1402 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_495-20150817T1402_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_495-20150817T1402_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_495-20150817T1402/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_495-20150817T1402.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_495-20150817T1402&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_495-20150817T1402 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_515-20200815T1437.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_515-20200815T1437 | https://polarwatch.noaa.gov/erddap/tabledap/gi_515-20200815T1437.graph | https://polarwatch.noaa.gov/erddap/files/gi_515-20200815T1437/ | public | gi_515-20200815T1437 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nCDOM (Fluorometric CDOM Concentration, ppb)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\ninstrument_par (Photosynthetically Active Radiation (PAR) Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nPAR (Photosynthetically Active Radiation, umol m-2 s-1)\n... (41 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_515-20200815T1437_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_515-20200815T1437_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_515-20200815T1437/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_515-20200815T1437.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_515-20200815T1437&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_515-20200815T1437 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_525-20220628T1658.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_525-20220628T1658 | https://polarwatch.noaa.gov/erddap/tabledap/gi_525-20220628T1658.graph | https://polarwatch.noaa.gov/erddap/files/gi_525-20220628T1658/ | public | gi_525-20220628T1658 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_525-20220628T1658_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_525-20220628T1658_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_525-20220628T1658/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_525-20220628T1658.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_525-20220628T1658&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_525-20220628T1658 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_537-20210811T0410.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_537-20210811T0410 | https://polarwatch.noaa.gov/erddap/tabledap/gi_537-20210811T0410.graph | https://polarwatch.noaa.gov/erddap/files/gi_537-20210811T0410/ | public | gi_537-20210811T0410 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nCDOM (Fluorometric CDOM Concentration, ppb)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nPAR (Photosynthetically Active Radiation, umol m-2 s-1)\npitch (Glider Vehicle Pitch Angle, degrees)\n... (40 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_537-20210811T0410_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_537-20210811T0410_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_537-20210811T0410/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_537-20210811T0410.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_537-20210811T0410&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_537-20210811T0410 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_538-20220628T1727.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_538-20220628T1727 | https://polarwatch.noaa.gov/erddap/tabledap/gi_538-20220628T1727.graph | https://polarwatch.noaa.gov/erddap/files/gi_538-20220628T1727/ | public | gi_538-20220628T1727 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_538-20220628T1727_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_538-20220628T1727_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_538-20220628T1727/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_538-20220628T1727.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_538-20220628T1727&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_538-20220628T1727 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_560-20190806T1805.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_560-20190806T1805 | https://polarwatch.noaa.gov/erddap/tabledap/gi_560-20190806T1805.graph | https://polarwatch.noaa.gov/erddap/files/gi_560-20190806T1805/ | public | gi_560-20190806T1805 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_560-20190806T1805_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_560-20190806T1805_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_560-20190806T1805/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_560-20190806T1805.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_560-20190806T1805&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_560-20190806T1805 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gi_565-20210811T0311.subset | https://polarwatch.noaa.gov/erddap/tabledap/gi_565-20210811T0311 | https://polarwatch.noaa.gov/erddap/tabledap/gi_565-20210811T0311.graph | https://polarwatch.noaa.gov/erddap/files/gi_565-20210811T0311/ | public | gi_565-20210811T0311 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nCDOM (Fluorometric CDOM Concentration, ppb)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_bb3slc (Optical Backscatter)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\ninstrument_par (Photosynthetically Active Radiation (PAR) Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\n... (42 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gi_565-20210811T0311_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gi_565-20210811T0311_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gi_565-20210811T0311/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gi_565-20210811T0311.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gi_565-20210811T0311&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gi_565-20210811T0311 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gp_361-20140220T2049.subset | https://polarwatch.noaa.gov/erddap/tabledap/gp_361-20140220T2049 | https://polarwatch.noaa.gov/erddap/tabledap/gp_361-20140220T2049.graph | https://polarwatch.noaa.gov/erddap/files/gp_361-20140220T2049/ | public | gp_361-20140220T2049 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gp_361-20140220T2049_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gp_361-20140220T2049_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gp_361-20140220T2049/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gp_361-20140220T2049.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gp_361-20140220T2049&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gp_361-20140220T2049 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gp_362-20140830T0240.subset | https://polarwatch.noaa.gov/erddap/tabledap/gp_362-20140830T0240 | https://polarwatch.noaa.gov/erddap/tabledap/gp_362-20140830T0240.graph | https://polarwatch.noaa.gov/erddap/files/gp_362-20140830T0240/ | public | gp_362-20140830T0240 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gp_362-20140830T0240_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gp_362-20140830T0240_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gp_362-20140830T0240/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gp_362-20140830T0240.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gp_362-20140830T0240&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gp_362-20140830T0240 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gp_363-20220703T1913.subset | https://polarwatch.noaa.gov/erddap/tabledap/gp_363-20220703T1913 | https://polarwatch.noaa.gov/erddap/tabledap/gp_363-20220703T1913.graph | https://polarwatch.noaa.gov/erddap/files/gp_363-20220703T1913/ | public | gp_363-20220703T1913 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nCDOM (Fluorometric CDOM Concentration, ppb)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\n... (39 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gp_363-20220703T1913_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gp_363-20220703T1913_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gp_363-20220703T1913/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gp_363-20220703T1913.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gp_363-20220703T1913&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gp_363-20220703T1913 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gp_453-20140830T0051.subset | https://polarwatch.noaa.gov/erddap/tabledap/gp_453-20140830T0051 | https://polarwatch.noaa.gov/erddap/tabledap/gp_453-20140830T0051.graph | https://polarwatch.noaa.gov/erddap/files/gp_453-20140830T0051/ | public | gp_453-20140830T0051 | The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gp_453-20140830T0051_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gp_453-20140830T0051_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gp_453-20140830T0051/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gp_453-20140830T0051.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gp_453-20140830T0051&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gp_453-20140830T0051 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gs_484-20150220T2015.subset | https://polarwatch.noaa.gov/erddap/tabledap/gs_484-20150220T2015 | https://polarwatch.noaa.gov/erddap/tabledap/gs_484-20150220T2015.graph | https://polarwatch.noaa.gov/erddap/files/gs_484-20150220T2015/ | public | gs_484-20150220T2015 | The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gs_484-20150220T2015_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gs_484-20150220T2015_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gs_484-20150220T2015/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gs_484-20150220T2015.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gs_484-20150220T2015&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gs_484-20150220T2015 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gs_485-20150221T1628.subset | https://polarwatch.noaa.gov/erddap/tabledap/gs_485-20150221T1628 | https://polarwatch.noaa.gov/erddap/tabledap/gs_485-20150221T1628.graph | https://polarwatch.noaa.gov/erddap/files/gs_485-20150221T1628/ | public | gs_485-20150221T1628 | The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gs_485-20150221T1628_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gs_485-20150221T1628_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gs_485-20150221T1628/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gs_485-20150221T1628.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gs_485-20150221T1628&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gs_485-20150221T1628 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gs_524-20151220T1950.subset | https://polarwatch.noaa.gov/erddap/tabledap/gs_524-20151220T1950 | https://polarwatch.noaa.gov/erddap/tabledap/gs_524-20151220T1950.graph | https://polarwatch.noaa.gov/erddap/files/gs_524-20151220T1950/ | public | gs_524-20151220T1950 | The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gs_524-20151220T1950_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gs_524-20151220T1950_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gs_524-20151220T1950/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gs_524-20151220T1950.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gs_524-20151220T1950&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gs_524-20151220T1950 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/gs_561-20151225T2141.subset | https://polarwatch.noaa.gov/erddap/tabledap/gs_561-20151225T2141 | https://polarwatch.noaa.gov/erddap/tabledap/gs_561-20151225T2141.graph | https://polarwatch.noaa.gov/erddap/files/gs_561-20151225T2141/ | public | gs_561-20151225T2141 | The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbackscatter (Optical Backscatter (red wavelengths), m-1)\nchlorophyll (Chlorophyll Concentration, ug l-1)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ndissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)\ninstrument_oxygen (Dissolved Oxygen Sensor)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\noxygen_saturation (percent)\npitch (Glider Vehicle Pitch Angle, degrees)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (38 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/gs_561-20151225T2141_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/gs_561-20151225T2141_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/gs_561-20151225T2141/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/gs_561-20151225T2141.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=gs_561-20151225T2141&showErrors=false&email= | OOI Coastal & Global Scale Nodes (CGSN) | gs_561-20151225T2141 | ||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailySP06 | https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailySP06.graph | public | Ice Concentration, Daily, GCOM-W1 AMSR2, Antarctic, 10km, NRT, Past 3 Weeks | This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.\n These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).\n NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.\n The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).\n Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).\n Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.\n The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for South Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.\n This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.\n For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (NASA Team 2 Ice Concentration (Fraction), 1)\nFlags (Quality Flags, 1)\ngraphics (graphics overlay planes)\n
| https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceConcDailySP06/index.htmlTable | https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggSP06.html
| https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceConcDailySP06.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceConcDailySP06&showErrors=false&email= | DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA | noaacwAMSR2gw1IceConcDailySP06 | ||||||
| https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailyNP06 | https://polarwatch.noaa.gov/erddap/griddap/noaacwAMSR2gw1IceConcDailyNP06.graph | public | Ice Concentration, Daily, GCOM-W1 AMSR2, Arctic, 10km, NRT, Past 3 Weeks | This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.\n These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).\n NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.\n The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).\n Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).\n Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.\n The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for North Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.\n This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.\n For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][rows][cols]):\nIceConc (NASA Team 2 Ice Concentration (Fraction) - primary product, 1)\nFlags (Quality Flags, 1)\ngraphics (graphics overlay planes)\n
| https://polarwatch.noaa.gov/erddap/info/noaacwAMSR2gw1IceConcDailyNP06/index.htmlTable | https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html
| https://polarwatch.noaa.gov/erddap/rss/noaacwAMSR2gw1IceConcDailyNP06.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaacwAMSR2gw1IceConcDailyNP06&showErrors=false&email= | DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA | noaacwAMSR2gw1IceConcDailyNP06 | ||||||
| https://polarwatch.noaa.gov/erddap/tabledap/otn200-20220912T1200.subset | https://polarwatch.noaa.gov/erddap/tabledap/otn200-20220912T1200 | https://polarwatch.noaa.gov/erddap/tabledap/otn200-20220912T1200.graph | https://polarwatch.noaa.gov/erddap/files/otn200-20220912T1200/ | public | otn200-20220912T1200 | Slocum gliders are small, free-swimming, unmanned vehicles that use changes in buoyancy to move vertically and horizontally through the water column in a saw-tooth pattern. They are deployed for days to several months and gather detailed information about the physical, chemical and biological processes of the world's oceans. The Slocum glider was designed and built by Teledyne Webb Research Corporation, Falmouth, MA, USA.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nc_battpos (commanded position pitch battery, inch)\nc_de_oil_vol (commanded ballast pump oil volume, cc)\nc_fin (commanded fin position, rad)\nc_heading (commanded heading, rad)\nc_thruster_on (commanded thruster on, %)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326, 1)\ndensity (Sea Water Density, kg.m-3)\ninstrument_bpump (Slocum Glider G3 1000m oil pump, 1)\ninstrument_ctd (CTD Metadata, 1)\ninstrument_dmon (digital acoustic monitoring instrument, 1)\ninstrument_echosounder (853es, 1)\ninstrument_flight_commanded (flight computer commanded, 1)\ninstrument_flight_measured (flight computer measured, 1)\ninstrument_fluorometer (ECO Triplet, 1)\ninstrument_oxygen_optode (oxygen 4381, 1)\n... (57 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/otn200-20220912T1200_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/otn200-20220912T1200_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/otn200-20220912T1200/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/otn200-20220912T1200.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=otn200-20220912T1200&showErrors=false&email= | OTN | otn200-20220912T1200 | ||
| 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/ | public | 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/ | public | 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/tabledap/ru01-20140104T1621.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140104T1621 | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140104T1621.graph | https://polarwatch.noaa.gov/erddap/files/ru01-20140104T1621/ | public | ru01-20140104T1621 | The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\n... (41 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru01-20140104T1621_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru01-20140104T1621_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru01-20140104T1621/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru01-20140104T1621.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru01-20140104T1621&showErrors=false&email= | Rutgers University | ru01-20140104T1621 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140120T1444.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140120T1444 | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140120T1444.graph | https://polarwatch.noaa.gov/erddap/files/ru01-20140120T1444/ | public | ru01-20140120T1444 | The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\n... (41 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru01-20140120T1444_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru01-20140120T1444_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru01-20140120T1444/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru01-20140120T1444.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru01-20140120T1444&showErrors=false&email= | Rutgers University | ru01-20140120T1444 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140123T1250.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140123T1250 | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140123T1250.graph | https://polarwatch.noaa.gov/erddap/files/ru01-20140123T1250/ | public | ru01-20140123T1250 | The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\n... (41 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru01-20140123T1250_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru01-20140123T1250_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru01-20140123T1250/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru01-20140123T1250.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru01-20140123T1250&showErrors=false&email= | Rutgers University | ru01-20140123T1250 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140217T1244.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140217T1244 | https://polarwatch.noaa.gov/erddap/tabledap/ru01-20140217T1244.graph | https://polarwatch.noaa.gov/erddap/files/ru01-20140217T1244/ | public | ru01-20140217T1244 | The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\n... (41 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru01-20140217T1244_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru01-20140217T1244_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru01-20140217T1244/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru01-20140217T1244.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru01-20140217T1244&showErrors=false&email= | Rutgers University | ru01-20140217T1244 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150105T1600.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150105T1600 | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150105T1600.graph | https://polarwatch.noaa.gov/erddap/files/ru05-20150105T1600/ | public | ru05-20150105T1600 | Glider deployed to perform cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island. This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\n... (49 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru05-20150105T1600_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru05-20150105T1600_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru05-20150105T1600/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru05-20150105T1600.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru05-20150105T1600&showErrors=false&email= | Rutgers University | ru05-20150105T1600 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150115T1443.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150115T1443 | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150115T1443.graph | https://polarwatch.noaa.gov/erddap/files/ru05-20150115T1443/ | public | ru05-20150115T1443 | Glider deployed to perform cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island. This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\n... (49 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru05-20150115T1443_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru05-20150115T1443_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru05-20150115T1443/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru05-20150115T1443.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru05-20150115T1443&showErrors=false&email= | Rutgers University | ru05-20150115T1443 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150201T2130.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150201T2130 | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20150201T2130.graph | https://polarwatch.noaa.gov/erddap/files/ru05-20150201T2130/ | public | ru05-20150201T2130 | Glider deployed to perform cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island. This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad�lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad�lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\n... (49 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru05-20150201T2130_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru05-20150201T2130_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru05-20150201T2130/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru05-20150201T2130.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru05-20150201T2130&showErrors=false&email= | Rutgers University | ru05-20150201T2130 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru05-20160202T2023.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20160202T2023 | https://polarwatch.noaa.gov/erddap/tabledap/ru05-20160202T2023.graph | https://polarwatch.noaa.gov/erddap/files/ru05-20160202T2023/ | public | ru05-20160202T2023 | The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\n... (42 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru05-20160202T2023_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru05-20160202T2023_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru05-20160202T2023/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru05-20160202T2023.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru05-20160202T2023&showErrors=false&email= | Rutgers University | ru05-20160202T2023 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru24-20130122T1943.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20130122T1943 | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20130122T1943.graph | https://polarwatch.noaa.gov/erddap/files/ru24-20130122T1943/ | public | ru24-20130122T1943 | The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\n... (41 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru24-20130122T1943_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru24-20130122T1943_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru24-20130122T1943/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru24-20130122T1943.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru24-20130122T1943&showErrors=false&email= | Rutgers University | ru24-20130122T1943 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru24-20140104T1300.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20140104T1300 | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20140104T1300.graph | https://polarwatch.noaa.gov/erddap/files/ru24-20140104T1300/ | public | ru24-20140104T1300 | KOPRI is an international collaboration between the Korean Polar Research Institute and Rutgers University to deploy gliders in the Amundsen polynya. The ice sheets surrounding the Amundsen Sea polynia are experiencing some of the highest melting rates in the world.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\npressure_qc (pressure Quality Flag)\n... (40 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru24-20140104T1300_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru24-20140104T1300_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru24-20140104T1300/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru24-20140104T1300.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru24-20140104T1300&showErrors=false&email= | KOPRI | ru24-20140104T1300 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru24-20150105T1441.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20150105T1441 | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20150105T1441.graph | https://polarwatch.noaa.gov/erddap/files/ru24-20150105T1441/ | public | ru24-20150105T1441 | Glider deployed as part of the LTER program to survey the Palmer canyon. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\n... (42 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru24-20150105T1441_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru24-20150105T1441_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru24-20150105T1441/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru24-20150105T1441.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru24-20150105T1441&showErrors=false&email= | Rutgers University | ru24-20150105T1441 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru24-20150126T1315.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20150126T1315 | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20150126T1315.graph | https://polarwatch.noaa.gov/erddap/files/ru24-20150126T1315/ | public | ru24-20150126T1315 | The purpose of this glider mission is to take hourly dives to 100m to measure the photo-physiological response of a phytoplankton population over Palmer Deep. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (43 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru24-20150126T1315_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru24-20150126T1315_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru24-20150126T1315/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru24-20150126T1315.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru24-20150126T1315&showErrors=false&email= | Rutgers University | ru24-20150126T1315 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru24-20160201T1252.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20160201T1252 | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20160201T1252.graph | https://polarwatch.noaa.gov/erddap/files/ru24-20160201T1252/ | public | ru24-20160201T1252 | The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\n... (42 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru24-20160201T1252_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru24-20160201T1252_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru24-20160201T1252/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru24-20160201T1252.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru24-20160201T1252&showErrors=false&email= | Rutgers University | ru24-20160201T1252 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru24-20170117T1705.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20170117T1705 | https://polarwatch.noaa.gov/erddap/tabledap/ru24-20170117T1705.graph | https://polarwatch.noaa.gov/erddap/files/ru24-20170117T1705/ | public | ru24-20170117T1705 | The purpose of this glider mission is to take hourly dives to 100m to measure the photo-physiological response of a phytoplankton population over Palmer Deep. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (43 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru24-20170117T1705_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru24-20170117T1705_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru24-20170117T1705/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru24-20170117T1705.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru24-20170117T1705&showErrors=false&email= | Rutgers University | ru24-20170117T1705 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20140104T1705.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20140104T1705 | https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20140104T1705.graph | https://polarwatch.noaa.gov/erddap/files/ru25d-20140104T1705/ | public | ru25d-20140104T1705 | KOPRI is an international collaboration between the Korean Polar Research Institute and Rutgers University to deploy gliders in the Amundsen polynya. The ice sheets surrounding the Amundsen Sea polynia are experiencing some of the highest melting rates in the world.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\npressure_qc (pressure Quality Flag)\n... (40 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru25d-20140104T1705_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru25d-20140104T1705_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru25d-20140104T1705/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru25d-20140104T1705.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru25d-20140104T1705&showErrors=false&email= | KOPRI | ru25d-20140104T1705 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20160121T0606.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20160121T0606 | https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20160121T0606.graph | https://polarwatch.noaa.gov/erddap/files/ru25d-20160121T0606/ | public | ru25d-20160121T0606 | KOPRI is an international collaboration between the Korean Polar Research Institute and Rutgers University to deploy gliders in the Amundsen polynya. The ice sheets surrounding the Amundsen Sea polynya are experiencing some of the highest melting rates in the world.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\npressure_qc (pressure Quality Flag)\n... (40 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru25d-20160121T0606_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru25d-20160121T0606_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru25d-20160121T0606/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru25d-20160121T0606.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru25d-20160121T0606&showErrors=false&email= | KOPRI | ru25d-20160121T0606 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20171222T1251.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20171222T1251 | https://polarwatch.noaa.gov/erddap/tabledap/ru25d-20171222T1251.graph | https://polarwatch.noaa.gov/erddap/files/ru25d-20171222T1251/ | public | ru25d-20171222T1251 | The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station south to Rothera Station, mapping the presence of modified upper circumpolar water on the West Antarctic Peninsula shelf. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth. This dataset includes temperature and salinity profiles only.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\n... (52 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru25d-20171222T1251_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru25d-20171222T1251_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru25d-20171222T1251/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru25d-20171222T1251.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru25d-20171222T1251&showErrors=false&email= | Rutgers University | ru25d-20171222T1251 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20141225T1450.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20141225T1450 | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20141225T1450.graph | https://polarwatch.noaa.gov/erddap/files/ru26d-20141225T1450/ | public | ru26d-20141225T1450 | The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\n... (42 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru26d-20141225T1450_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru26d-20141225T1450_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru26d-20141225T1450/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru26d-20141225T1450.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru26d-20141225T1450&showErrors=false&email= | Rutgers University | ru26d-20141225T1450 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20160201T1313.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20160201T1313 | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20160201T1313.graph | https://polarwatch.noaa.gov/erddap/files/ru26d-20160201T1313/ | public | ru26d-20160201T1313 | The purpose of this glider mission is to take cross sections of temperature and salinity in the continental shelf near Palmer Station. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\n... (42 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru26d-20160201T1313_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru26d-20160201T1313_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru26d-20160201T1313/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru26d-20160201T1313.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru26d-20160201T1313&showErrors=false&email= | Rutgers University | ru26d-20160201T1313 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20171211T0920.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20171211T0920 | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20171211T0920.graph | https://polarwatch.noaa.gov/erddap/files/ru26d-20171211T0920/ | public | ru26d-20171211T0920 | The purpose of this glider mission is to take cross\n sections of temperature and salinity in the continental shelf near\n Palmer Station. The Long Term Ecological Research (LTER) program\n in Antarctica is a long term study focused on understanding how\n the marine system regulates the ecology of the West Antarctic\n Peninsula. The project is focused on how the ecology is changing\n given the West Antarctic Peninsula is the fastest winter warming\n place on Earth. This dataset includes temperature and salinity\n profiles only.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\n... (54 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru26d-20171211T0920_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru26d-20171211T0920_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru26d-20171211T0920/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru26d-20171211T0920.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru26d-20171211T0920&showErrors=false&email= | Rutgers University | ru26d-20171211T0920 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20220714T2322.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20220714T2322 | https://polarwatch.noaa.gov/erddap/tabledap/ru26d-20220714T2322.graph | https://polarwatch.noaa.gov/erddap/files/ru26d-20220714T2322/ | public | ru26d-20220714T2322 | Rutgers University will deploy and operate a glider in the Southeast Gulf of Alaska for about a 60-day deployment(s) in July-September 2022 to assess seawater pH and other oceanographic measurements including temperature, salinity, optical properties (i.e., chlorophyll, CDOM, backscatter), and dissolved oxygen. The glider will be deployed from a small vessel off the coast of Sitka, AK and conduct a zig-zag transect southward to Ketchikan (depending on currents), then return north to Sitka for a planned recovery by the R/V Rachel Carson.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbeta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)\ncdom (ppb)\nchlorophyll_a (ug L-1)\ncommanded_alt_time (c_alt_time, sec)\ncommanded_climb_target_depth (c_climb_target_depth, m)\ncommanded_de_oil_vol (c_de_oil_vol, cc)\ncommanded_dive_target_depth (c_dive_target_depth, m)\ncommanded_fin (c_fin, rad)\ncommanded_heading (c_heading, rad)\ncommanded_science_send_all (c_science_send_all, bool)\ncommanded_thruster_on (c_thruster_on, %)\ncommanded_weight_drop (c_weight_drop, bool)\ncommanded_wpt_lat (c_wpt_lat, lat)\ncommanded_wpt_lon (c_wpt_lon, lon)\ncommanded_wpt_x_lmc (c_wpt_x_lmc, m)\n... (143 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru26d-20220714T2322_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru26d-20220714T2322_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru26d-20220714T2322/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru26d-20220714T2322.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru26d-20220714T2322&showErrors=false&email= | Rutgers University | ru26d-20220714T2322 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru32-20180109T0531.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru32-20180109T0531 | https://polarwatch.noaa.gov/erddap/tabledap/ru32-20180109T0531.graph | https://polarwatch.noaa.gov/erddap/files/ru32-20180109T0531/ | public | ru32-20180109T0531 | This project integrated an Acoustic Zooplankton and Fish Profiler (AZFP) multi-frequency echo sounder into a Slocum Webb G2 glider. The AZFP is complemented with existing glider sensors including a CTD, a WET Labs BB2FL ECO puck configured for simultaneous chlorophyll fluorescence (phytoplankton biomass) and optical backscatter measurements, and an Aanderaa Optode for measuring dissolved oxygen. This glider deployment is located in the polynya of Terra Nova Bay (western Ross Sea, Antarctica), and is focused on investigating relationships between phytoplankton-zooplankton-fish distributions and the physical drivers of zooplankton and silverfish species and size distributions.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\n... (53 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru32-20180109T0531_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru32-20180109T0531_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru32-20180109T0531/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru32-20180109T0531.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru32-20180109T0531&showErrors=false&email= | Rutgers University | ru32-20180109T0531 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru32-20190102T1317.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru32-20190102T1317 | https://polarwatch.noaa.gov/erddap/tabledap/ru32-20190102T1317.graph | https://polarwatch.noaa.gov/erddap/files/ru32-20190102T1317/ | public | ru32-20190102T1317 | Glider deployment to map the physics, optics and acoustics in the region adjacent to Palmer Station. The goal is measure the mixing, phytoplankton, and krill in a region of high foraging activity for penguins and whales. The Long Term Ecological Research (LTER) program in Antarctica is a long term study focused on understanding how the marine system regulates the ecology of the West Antarctic Peninsula. The project is focused on how the ecology is changing given the West Antarctic Peninsula is the fastest winter warming place on Earth. This dataset includes measurements of temperature, salinity, chlorophylla, optical backscatter, CDOM and krill concentrations.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nazfp_file_offset (sci_azfp_file_offset, nodim)\nazfp_pause_signal (sci_azfp_pause_signal, bool)\nazfp_run_state (sci_azfp_run_state, nodim)\nbeta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)\ncdom (ppb)\nchlorophyll_a (ug L-1)\ncommanded_alt_time (c_alt_time, sec)\ncommanded_climb_target_depth (c_climb_target_depth, m)\ncommanded_de_oil_vol (c_de_oil_vol, cc)\ncommanded_dive_target_depth (c_dive_target_depth, m)\ncommanded_fin (c_fin, rad)\ncommanded_heading (c_heading, rad)\ncommanded_science_send_all (c_science_send_all, bool)\n... (129 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru32-20190102T1317_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru32-20190102T1317_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru32-20190102T1317/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru32-20190102T1317.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru32-20190102T1317&showErrors=false&email= | Rutgers University,Virginia Institute of Marine Science | ru32-20190102T1317 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru32-20200111T1444.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru32-20200111T1444 | https://polarwatch.noaa.gov/erddap/tabledap/ru32-20200111T1444.graph | https://polarwatch.noaa.gov/erddap/files/ru32-20200111T1444/ | public | ru32-20200111T1444 | The short surface ocean residence times of 1-2 days over Palmer Deep is in conflict with the prevailing hypotheses that local growth support phytoplankton at the base of the food web in these biological hotspots. Instead, the implication is that horizontal dynamics are likely more important to maintaining these biological hotspots than local upwelling. However, coincident measures of phytoplankton, prey fields, and predator locations in their advective context have not been made to establish the ecological importance of horizontal flow. In this project, we will simultaneously sample across the entire food web from the phytoplankton and prey fields to the top predators to understand the ocean features that support life in these polar systems. For the first time in this region, we will integrate these glider deployed sensors with moored, remote sensed and small boat platforms to simultaneously map phytoplankton blooms, krill aggregations, and top predator foraging relative to dynamic ocean features. This real-time low-resolution dataset contains temperature, salinity, chlorophyll_a, CDOM, beta_700nm and oxygen profiles.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nazfp_file_offset (sci_azfp_file_offset, nodim)\nazfp_pause_signal (sci_azfp_pause_signal, bool)\nazfp_run_state (sci_azfp_run_state, nodim)\nbeta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)\ncdom (ppb)\nchlorophyll_a (ug L-1)\ncommanded_alt_time (c_alt_time, sec)\ncommanded_climb_target_depth (c_climb_target_depth, m)\ncommanded_de_oil_vol (c_de_oil_vol, cc)\n... (143 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru32-20200111T1444_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru32-20200111T1444_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru32-20200111T1444/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru32-20200111T1444.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru32-20200111T1444&showErrors=false&email= | Rutgers University,University of Delaware,University of Alaska Fairbanks | ru32-20200111T1444 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ru33-20230122T1352.subset | https://polarwatch.noaa.gov/erddap/tabledap/ru33-20230122T1352 | https://polarwatch.noaa.gov/erddap/tabledap/ru33-20230122T1352.graph | https://polarwatch.noaa.gov/erddap/files/ru33-20230122T1352/ | public | ru33-20230122T1352 | The goal of this project is to characterize the dynamics of a buoyant ocean front formed by meltwater along the Antarctic Peninsula.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbeta_700nm (Beta 700nm at 117 degrees, m-1 sr-1)\ncdom (ppb)\nchlorophyll_a (ug L-1)\ncommanded_alt_time (c_alt_time, sec)\ncommanded_ballast_pumped (c_ballast_pumped, cc)\ncommanded_climb_target_depth (c_climb_target_depth, m)\ncommanded_dive_target_depth (c_dive_target_depth, m)\ncommanded_fin (c_fin, rad)\ncommanded_heading (c_heading, rad)\ncommanded_weight_drop (c_weight_drop, bool)\ncommanded_wpt_lat (c_wpt_lat, lat)\ncommanded_wpt_lon (c_wpt_lon, lon)\ncommanded_wpt_x_lmc (c_wpt_x_lmc, m)\ncommanded_wpt_y_lmc (c_wpt_y_lmc, m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nctd41cp_timestamp (sci_ctd41cp_timestamp, seconds since 1970-01-01T00:00:00Z)\ndensity (Sea Water Density, kg m-3)\ndr_latitude (m_lat, degrees decimal minutes)\n... (101 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ru33-20230122T1352_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ru33-20230122T1352_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ru33-20230122T1352/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ru33-20230122T1352.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ru33-20230122T1352&showErrors=false&email= | Rutgers University | ru33-20230122T1352 | ||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4nh1day/ | public | 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/nsidcG02202v4nhmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nhmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4nhmday/ | public | Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Northern Hemisphere, 25km, Science Quality, 1978-Present, Monthly | This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nmelt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nnsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\nstdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\n
| https://polarwatch.noaa.gov/erddap/info/nsidcG02202v4nhmday/index.htmlTable | https://nsidc.org/data/g02202/versions/4/
| https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v4nhmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v4nhmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG02202v4nhmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4sh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4sh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4sh1day/ | public | 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/nsidcG02202v4shmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4shmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v4shmday/ | public | Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Southern Hemisphere, 25km, Science Quality, 1978-Present, Monthly | This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nnsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\nstdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\n
| https://polarwatch.noaa.gov/erddap/info/nsidcG02202v4shmday/index.htmlTable | https://nsidc.org/data/g02202/versions/4/
| https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v4shmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v4shmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG02202v4shmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5nh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5nh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v5nh1day/ | public | Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Northern Hemisphere, 25km, Science\nQuality, 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 Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) 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 km 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 raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)\ncdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)\ncdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)\ncdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)\ncdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG02202v5nh1day/index.htmlTable | https://nsidc.org/data/g02202/versions/5
| https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v5nh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v5nh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG02202v5nh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5nhmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5nhmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v5nhmday/ | public | Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Northern Hemisphere, 25km, Science Quality, 1978-Present, Monthly | This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at 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 km x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\ncdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)\ncdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG02202v5nhmday/index.htmlTable | https://nsidc.org/data/g02202/versions/5
| https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v5nhmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v5nhmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG02202v5nhmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5shmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5shmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v5shmday/ | public | Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Southern Hemisphere, 25km, Science\n\t\tQuality, 1978-Present, Monthly | This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) 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 km 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 raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\ncdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)\ncdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG02202v5shmday/index.htmlTable | https://nsidc.org/data/g02202/versions/5
| https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v5shmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v5shmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG02202v5shmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5sh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v5sh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG02202v5sh1day/ | public | Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Southern Hemisphere, 25km, Science\nQuality, 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 Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at 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 km x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)\ncdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)\ncdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)\ncdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)\ncdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG02202v5sh1day/index.htmlTable | https://nsidc.org/data/g02202/versions/5
| https://polarwatch.noaa.gov/erddap/rss/nsidcG02202v5sh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG02202v5sh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG02202v5sh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2nh1day/ | public | 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/ | public | 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/nsidcG10016v2sh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2sh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2sh1day/ | public | Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Southern Hemisphere, 25km, Near Real-Time, 2021-Present, Daily | This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\ncdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)\nnsidc_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)\nnsidc_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)\nqa_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)\nspatial_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration spatial interpolation flags)\nstdev_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\ntemporal_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration temporal interpolation flags)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG10016v2sh1day/index.htmlTable | https://nsidc.org/
| https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v2sh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v2sh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG10016v2sh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2shmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2shmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v2shmday/ | public | 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/griddap/nsidcG10016v3nh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3nh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v3nh1day/ | public | Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Northern Hemisphere, 25km, Near Real-Time, 2024-Present, Daily | This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. 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 NSIDC. This product is designed to provide an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells and are available in 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)\ncdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)\ncdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)\ncdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)\ncdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG10016v3nh1day/index.htmlTable | https://nsidc.org/data/g10016/versions/3
| https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v3nh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v3nh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG10016v3nh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3nhmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3nhmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v3nhmday/ | public | Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Northern Hemisphere, 25km, Near Real-Time, 2024-Present, Monthly | This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. 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 an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)\ncdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)\ncdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG10016v3nhmday/index.htmlTable | https://nsidc.org/data/g10016/versions/3
| https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v3nhmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v3nhmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG10016v3nhmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3sh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3sh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v3sh1day/ | public | Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Southern Hemisphere, 25km, Near Real-Time, 2024-Present, Daily | This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. 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 an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)\ncdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)\ncdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)\ncdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)\ncdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG10016v3sh1day/index.htmlTable | https://nsidc.org/data/g10016/versions/3
| https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v3sh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v3sh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG10016v3sh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3shmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v3shmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcG10016v3shmday/ | public | Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V3, Southern Hemisphere, 25km, Near Real-Time, 2024-Present, Monthly | This data set provides a near-real-time (NRT) passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) passive microwave radiometer: the Special Sensor Microwave Imager/Sounder (SSMIS) F17. 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 an NRT time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice). 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.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][y][x]):\ncdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)\ncdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)\ncdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcG10016v3shmday/index.htmlTable | https://nsidc.org/data/g10016/versions/3
| https://polarwatch.noaa.gov/erddap/rss/nsidcG10016v3shmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcG10016v3shmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center | nsidcG10016v3shmday | |||||
| https://polarwatch.noaa.gov/erddap/tabledap/silbo-20160413T1534.subset | https://polarwatch.noaa.gov/erddap/tabledap/silbo-20160413T1534 | https://polarwatch.noaa.gov/erddap/tabledap/silbo-20160413T1534.graph | https://polarwatch.noaa.gov/erddap/files/silbo-20160413T1534/ | public | silbo-20160413T1534 | The Silbo Challenger mission is a partnership between industry and academia which will exercise a number of new Slocum glider features and long term deployment stratgies including shoreside piloting tools, glider firmware, battery design, thruster design, hull design and low cost deployment and recovery in support of open ocean deployments. Temperature and salinity profiles will also be submitted to the IOOS National Data Assembly Center which will transmit the profiles to the Global Telecommunication System for assimiliation into ocean forecasting models.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\n... (51 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/silbo-20160413T1534_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/silbo-20160413T1534_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/silbo-20160413T1534/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/silbo-20160413T1534.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=silbo-20160413T1534&showErrors=false&email= | Teledyne Webb Research Corporation | silbo-20160413T1534 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/sp022-20180422T1229.subset | https://polarwatch.noaa.gov/erddap/tabledap/sp022-20180422T1229 | https://polarwatch.noaa.gov/erddap/tabledap/sp022-20180422T1229.graph | https://polarwatch.noaa.gov/erddap/files/sp022-20180422T1229/ | public | sp022-20180422T1229 | Spray glider profile data from Woods Hole Oceanographic Institution. (This deployment supported by NOAA.)\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (latitude Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (longitude Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degrees_north)\nprecise_lon (Precise Longitude, degrees_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, dbar)\npressure_qc (pressure Quality Flag)\nprofile_lat_qc (profile_lat Quality Flag)\n... (39 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/sp022-20180422T1229_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/sp022-20180422T1229_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/sp022-20180422T1229/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/sp022-20180422T1229.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=sp022-20180422T1229&showErrors=false&email= | Woods Hole Oceanographic Institution | sp022-20180422T1229 | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta8day | https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta8day.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH2ssta8day/request | https://polarwatch.noaa.gov/erddap/files/erdPH2ssta8day/ | public | SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2006, Science Quality (8 Day Composite) | This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m Wind Speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH2ssta8day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH2ssta8day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH2ssta8day/index.htmlTable | https://pathfinder.nodc.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/erdPH2ssta8day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH2ssta8day&showErrors=false&email= | NOAA NCEI | erdPH2ssta8day | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta1day | https://polarwatch.noaa.gov/erddap/griddap/erdPH2ssta1day.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH2ssta1day/request | https://polarwatch.noaa.gov/erddap/files/erdPH2ssta1day/ | public | SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite) | This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m Wind Speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH2ssta1day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH2ssta1day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH2ssta1day/index.htmlTable | https://pathfinder.nodc.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/erdPH2ssta1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH2ssta1day&showErrors=false&email= | NOAA NCEI | erdPH2ssta1day | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH2sstamday | https://polarwatch.noaa.gov/erddap/griddap/erdPH2sstamday.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH2sstamday/request | https://polarwatch.noaa.gov/erddap/files/erdPH2sstamday/ | public | SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite) | This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m Wind Speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH2sstamday_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH2sstamday_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH2sstamday/index.htmlTable | https://pathfinder.nodc.noaa.gov
| https://polarwatch.noaa.gov/erddap/rss/erdPH2sstamday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH2sstamday&showErrors=false&email= | NOAA NCEI | erdPH2sstamday | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstd8day | https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstd8day.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH53sstd8day/request | https://polarwatch.noaa.gov/erddap/files/erdPH53sstd8day/ | public | SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite) | This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstd8day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstd8day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH53sstd8day/index.htmlTable | https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3
| https://polarwatch.noaa.gov/erddap/rss/erdPH53sstd8day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstd8day&showErrors=false&email= | NOAA NCEI | erdPH53sstd8day | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstdmday | https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstdmday.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH53sstdmday/request | https://polarwatch.noaa.gov/erddap/files/erdPH53sstdmday/ | public | SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite) | This dataset contains monthly composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstdmday_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstdmday_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH53sstdmday/index.htmlTable | https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3
| https://polarwatch.noaa.gov/erddap/rss/erdPH53sstdmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstdmday&showErrors=false&email= | NOAA NCEI | erdPH53sstdmday | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstn8day | https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstn8day.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH53sstn8day/request | https://polarwatch.noaa.gov/erddap/files/erdPH53sstn8day/ | public | SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite) | This dataset contains 8-day-composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstn8day_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstn8day_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH53sstn8day/index.htmlTable | https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3
| https://polarwatch.noaa.gov/erddap/rss/erdPH53sstn8day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstn8day&showErrors=false&email= | NOAA NCEI | erdPH53sstn8day | ||
| https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstnmday | https://polarwatch.noaa.gov/erddap/griddap/erdPH53sstnmday.graph | https://polarwatch.noaa.gov/erddap/wms/erdPH53sstnmday/request | https://polarwatch.noaa.gov/erddap/files/erdPH53sstnmday/ | public | SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite) | This dataset contains monthly composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)\nsea_ice_fraction (1)\nwind_speed (10m wind speed, m s-1)\nl2p_flags\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/erdPH53sstnmday_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/erdPH53sstnmday_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/erdPH53sstnmday/index.htmlTable | https://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:AVHRR_Pathfinder-NCEI-L3C-v5.3
| https://polarwatch.noaa.gov/erddap/rss/erdPH53sstnmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=erdPH53sstnmday&showErrors=false&email= | NOAA NCEI | erdPH53sstnmday | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ud_134-20150105T1601.subset | https://polarwatch.noaa.gov/erddap/tabledap/ud_134-20150105T1601 | https://polarwatch.noaa.gov/erddap/tabledap/ud_134-20150105T1601.graph | https://polarwatch.noaa.gov/erddap/files/ud_134-20150105T1601/ | public | ud_134-20150105T1601 | The purpose of this glider mission is to do cross canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island. This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\n... (45 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ud_134-20150105T1601_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ud_134-20150105T1601_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ud_134-20150105T1601/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ud_134-20150105T1601.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ud_134-20150105T1601&showErrors=false&email= | University of Delaware | ud_134-20150105T1601 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ud_134-20150122T1955.subset | https://polarwatch.noaa.gov/erddap/tabledap/ud_134-20150122T1955 | https://polarwatch.noaa.gov/erddap/tabledap/ud_134-20150122T1955.graph | https://polarwatch.noaa.gov/erddap/files/ud_134-20150122T1955/ | public | ud_134-20150122T1955 | The purpose of this glider mission is to do station keeping to resolve the time series of Palmer Deep within the operating CODAR fields off of Anvers Island. This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad�lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad�lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\n... (46 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ud_134-20150122T1955_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ud_134-20150122T1955_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ud_134-20150122T1955/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ud_134-20150122T1955.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ud_134-20150122T1955&showErrors=false&email= | University of Delaware | ud_134-20150122T1955 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/ud_476-20230113T1454.subset | https://polarwatch.noaa.gov/erddap/tabledap/ud_476-20230113T1454 | https://polarwatch.noaa.gov/erddap/tabledap/ud_476-20230113T1454.graph | https://polarwatch.noaa.gov/erddap/files/ud_476-20230113T1454/ | public | ud_476-20230113T1454 | The goal of this project is to characterize the dynamics of a buoyant ocean front formed by meltwater along the Antarctic Peninsula.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nbsipar_par (sci_bsipar_par, uE/m^2sec)\nbsipar_timestamp (sci_bsipar_timestamp, seconds since 1970-01-01T00:00:00Z)\ncommanded_alt_time (c_alt_time, sec)\ncommanded_ballast_pumped (c_ballast_pumped, cc)\ncommanded_climb_target_depth (c_climb_target_depth, m)\ncommanded_dive_target_depth (c_dive_target_depth, m)\ncommanded_fin (c_fin, rad)\ncommanded_heading (c_heading, rad)\ncommanded_science_send_all (c_science_send_all, bool)\ncommanded_thruster_on (c_thruster_on, %)\ncommanded_weight_drop (c_weight_drop, bool)\ncommanded_wpt_lat (c_wpt_lat, lat)\ncommanded_wpt_lon (c_wpt_lon, lon)\ncommanded_wpt_x_lmc (c_wpt_x_lmc, m)\ncommanded_wpt_y_lmc (c_wpt_y_lmc, m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nctd41cp_timestamp (sci_ctd41cp_timestamp, seconds since 1970-01-01T00:00:00Z)\ndensity (Sea Water Density, kg m-3)\n... (137 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/ud_476-20230113T1454_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/ud_476-20230113T1454_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/ud_476-20230113T1454/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/ud_476-20230113T1454.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=ud_476-20230113T1454&showErrors=false&email= | University of Delaware | ud_476-20230113T1454 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_167-20130911T0027.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_167-20130911T0027 | https://polarwatch.noaa.gov/erddap/tabledap/unit_167-20130911T0027.graph | https://polarwatch.noaa.gov/erddap/files/unit_167-20130911T0027/ | public | unit_167-20130911T0027 | Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg.m-3)\ninstrument_ctd (CTD Metadata, 1)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\nplatform_meta (Platform Metadata, 1)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_167-20130911T0027_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_167-20130911T0027_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_167-20130911T0027/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_167-20130911T0027.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_167-20130911T0027&showErrors=false&email= | University of Alaska Fairbanks, College of Fisheries and Ocean Sciences | unit_167-20130911T0027 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20150105T1443.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20150105T1443 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20150105T1443.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20150105T1443/ | public | unit_191-20150105T1443 | The purpose of this glider mission is to do along canyon transects of Palmer Deep within the operating CODAR fields off of Anvers Island. This multi-platform field study will investigate the impact of coastal physical processes (e.g. tides, currents, upwelling events, sea-ice) on Ad��lie penguin foraging ecology in the vicinity of Palmer Deep, off Anvers Island, WAP. Guided by real-time surface convergence and divergences based on remotely sensed surface current maps derived from a coastal network of High Frequency Radars (HFRs), a multidisciplinary research team will adaptively sample the distribution of phytoplankton and zooplankton, which influence Ad��lie penguin foraging ecology, to understand how local oceanographic processes structure the ecosystem.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\nconductivity_qc (conductivity Quality Flag)\ndensity (Sea Water Density, kg m-3)\ndensity_qc (density Quality Flag)\ndepth_qc (depth Quality Flag)\ninstrument_ctd (CTD Metadata, 1)\nlat_qc (lat Quality Flag)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlat_uv_qc (lat_uv Quality Flag)\nlon_qc (lon Quality Flag)\nlon_uv (Depth-averaged Longitude, degrees_east)\nlon_uv_qc (lon_uv Quality Flag)\nplatform_meta (Platform Metadata, 1)\n... (45 more variables)\n | https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20150105T1443_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20150105T1443_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20150105T1443/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20150105T1443.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20150105T1443&showErrors=false&email= | University of Alaska Fairbanks | unit_191-20150105T1443 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20150711T2000.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20150711T2000 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20150711T2000.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20150711T2000/ | public | unit_191-20150711T2000 | Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg.m-3)\ninstrument_ctd (CTD Metadata, 1)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\nplatform_meta (Platform Metadata, 1)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20150711T2000_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20150711T2000_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20150711T2000/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20150711T2000.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20150711T2000&showErrors=false&email= | University of Alaska Fairbanks, College of Fisheries and Ocean Sciences | unit_191-20150711T2000 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20160710T2018.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20160710T2018 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20160710T2018.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20160710T2018/ | public | unit_191-20160710T2018 | Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014, 11 July – 8 September 2015, and from 10 July - 4 october 2016. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg.m-3)\ninstrument_ctd (CTD Metadata, 1)\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\nplatform_meta (Platform Metadata, 1)\n... (36 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20160710T2018_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20160710T2018_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20160710T2018/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20160710T2018.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20160710T2018&showErrors=false&email= | University of Alaska Fairbanks, College of Fisheries and Ocean Sciences | unit_191-20160710T2018 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210125T1200.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210125T1200 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210125T1200.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20210125T1200/ | public | unit_191-20210125T1200 | UAF G191 Glider deployment in the North Pacific Ocean\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nconductivity (Sea Water Electrical Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg m-3)\ninstrument_ctd (CTD Metadata, 1)\nlat_uv (Depth-averaged Latitude)\nlon_uv (Depth-averaged Longitude)\nplatform_meta (Platform Metadata, 1)\nprecise_lat (Precise Latitude, degree_north)\nprecise_lon (Precise Longitude, degree_east)\nprecise_time (seconds since 1970-01-01T00:00:00Z)\npressure (Sea Water Pressure, bar)\nqartod_conductivity_flat_line_flag (QARTOD Flat Line Test for sea_water_electrical_conductivity, 1)\nqartod_conductivity_gross_range_flag (QARTOD Gross Range Test for sea_water_electrical_conductivity, 1)\nqartod_conductivity_primary_flag (QARTOD Primary Flag for sea_water_electrical_conductivity, 1)\nqartod_conductivity_rate_of_change_flag (QARTOD Rate of Change Test for sea_water_electrical_conductivity, 1)\nqartod_conductivity_spike_flag (QARTOD Spike Test for sea_water_electrical_conductivity, 1)\nqartod_density_flat_line_flag (QARTOD Flat Line Test for sea_water_density, 1)\nqartod_density_gross_range_flag (QARTOD Gross Range Test for sea_water_density, 1)\nqartod_density_primary_flag (QARTOD Primary Flag for sea_water_density, 1)\nqartod_density_rate_of_change_flag (QARTOD Rate of Change Test for sea_water_density, 1)\n... (24 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20210125T1200_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20210125T1200_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20210125T1200/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20210125T1200.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20210125T1200&showErrors=false&email= | The University of Alaska Fairbanks College of Fisheries and Ocean Science | unit_191-20210125T1200 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210323T0000.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210323T0000 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210323T0000.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20210323T0000/ | public | unit_191-20210323T0000 | UAF G191 Glider deployment in the North Pacific Ocean (March 2021)\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg.m-3)\ninstrument_altimeter\ninstrument_altitude\ninstrument_ctd (CTD Metadata, 1)\ninstrument_dissolved_oxygen\ninstrument_fluorometer (Wetlabs FLNTUSLC Fluorometer)\ninstrument_gps\ninstrument_irradiance\ninstrument_radiance\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\nm_altitude\nm_ballast_pumped (cc)\nm_battery (volts)\nm_battpos (in)\nm_coulomb_amphr_total (amp-hrs)\n... (51 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20210323T0000_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20210323T0000_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20210323T0000/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20210323T0000.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20210323T0000&showErrors=false&email= | The University of Alaska Fairbanks College of Fisheries and Ocean Science | unit_191-20210323T0000 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210429T0000.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210429T0000 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20210429T0000.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20210429T0000/ | public | unit_191-20210429T0000 | UAF G191 Glider deployment in the North Pacific Ocean (April 2021)\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg.m-3)\ninstrument_altimeter\ninstrument_altitude\ninstrument_ctd (CTD Metadata, 1)\ninstrument_dissolved_oxygen\ninstrument_fluorometer (Wetlabs FLNTUSLC Fluorometer)\ninstrument_gps\ninstrument_irradiance\ninstrument_radiance\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\nm_altitude\nm_ballast_pumped (cc)\nm_battery (volts)\nm_battpos (in)\nm_coulomb_amphr_total (amp-hrs)\n... (51 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20210429T0000_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20210429T0000_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20210429T0000/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20210429T0000.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20210429T0000&showErrors=false&email= | The University of Alaska Fairbanks College of Fisheries and Ocean Science | unit_191-20210429T0000 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20220526T0000.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20220526T0000 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20220526T0000.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20220526T0000/ | public | unit_191-20220526T0000 | UAF G191 Glider deployment in the North Pacific Ocean (May 2022)\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\ndensity (Sea Water Density, kg.m-3)\ninstrument_altimeter\ninstrument_altitude\ninstrument_ctd (CTD Metadata, 1)\ninstrument_dissolved_oxygen\ninstrument_fluorometer (Wetlabs FLNTUSLC Fluorometer)\ninstrument_gps\ninstrument_irradiance\ninstrument_radiance\nlat_uv (Depth-averaged Latitude, degrees_north)\nlon_uv (Depth-averaged Longitude, degrees_east)\nm_altitude\nm_ballast_pumped (cc)\nm_battery (volts)\nm_battpos (in)\nm_coulomb_amphr_total (amp-hrs)\n... (52 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20220526T0000_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20220526T0000_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20220526T0000/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20220526T0000.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20220526T0000&showErrors=false&email= | The University of Alaska Fairbanks College of Fisheries and Ocean Science | unit_191-20220526T0000 | ||
| https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20230215T0000.subset | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20230215T0000 | https://polarwatch.noaa.gov/erddap/tabledap/unit_191-20230215T0000.graph | https://polarwatch.noaa.gov/erddap/files/unit_191-20230215T0000/ | public | unit_191-20230215T0000 | This dataset contains measurements of temperature, conductivity, salinity, density, chlorophyll-a and CDOM fluorescence, Photosynthetically Active Radiation (PAR), Dissolved Oxygen and reception time and location from 180 kHz transmitters collected from a Teledyne Slocum autonomous underwater glider dataset gathered by University of Alaska Fairbanks as part of the Alaska Region Glider Missions Supporting an Ecosystem Approach to Fisheries Management project, funded by NOAA through the Integrated Ocean Observing System (IOOS) and the Alaska Ocean Observing System. The North Pacific Fisheries Management Council (NPFMC) establishes Alaska as a world leader in the Ecosystem Approach to Fisheries Management (EAFM) for maintaining sustainable fisheries (Zador et al., 2017). EAFM requires deep understanding of commercially and non-commercially important species’ biology, population status, and trends in addition to a holistic understanding of environmental drivers, trophic linkages, and many subtle complexities of ecosystem dynamics. A successful implementation of EAFM is based on timely information that guides an informed approach to setting fisheries harvest levels in the context of environmental conditions. Lack of timely ecosystem data is identified as a critical gap in the EAFM process. The purpose of this project is to apply gliders to the task of developing near-real-time indices of key physical and biological parameters that will inform the NPFMC decision-making process, and other marine and fisheries management related research activities.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntrajectory (Trajectory Name)\nwmo_id\nprofile_id\ntime (Profile Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Profile Latitude, degrees_north)\nlongitude (Profile Longitude, degrees_east)\ndepth (m)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nconductivity (Sea Water Electrical Conductivity, S.m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\n... (68 more variables)\n
| https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/unit_191-20230215T0000_fgdc.xml | https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/unit_191-20230215T0000_iso19115.xml | https://polarwatch.noaa.gov/erddap/info/unit_191-20230215T0000/index.htmlTable | https://gliders.ioos.us/erddap/
| https://polarwatch.noaa.gov/erddap/rss/unit_191-20230215T0000.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=unit_191-20230215T0000&showErrors=false&email= | The University of Alaska Fairbanks College of Fisheries and Ocean Science | unit_191-20230215T0000 | ||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQsh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQsh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQsh1day/ | public | Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Antarctic, 25km, Science Quality, 1978-2019, Daily | Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID:nsidcG02202v4sh1day. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4sh1day.graph. Version 3 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_cdr (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_cdr (Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_cdr (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc (Goddard Edited Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQsh1day/index.htmlTable | https://nsidc.org/data/g02202
| https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQsh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQsh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center, NOAA | nsidcCDRiceSQsh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQshmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQshmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQshmday/ | public | Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Antarctic, 25km, Science Quality, 1978-2019, Monthly | Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4shmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4shmday.graph. Version 3 Summary: This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from 1987 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQshmday/index.htmlTable | https://nsidc.org/data/g02202
| https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQshmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQshmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center, NOAA | nsidcCDRiceSQshmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnh1day | https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnh1day.graph | https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQnh1day/ | public | Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Arctic, 25km, Science Quality, 1978-2019, Daily | Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4nh1day. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nh1day.graph. Version 3 Summary: This data set NOAA/NSIDC Sea Ice Concentration CDR v3 (g02202) provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from 1987 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_cdr (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_cdr (Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_cdr (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc (Goddard Edited Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQnh1day/index.htmlTable | https://nsidc.org/data/g02202
| https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQnh1day.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQnh1day&showErrors=false&email= | NSIDC > National Snow and Ice Data Center, NOAA | nsidcCDRiceSQnh1day | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnhmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceSQnhmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceSQnhmday/ | public | Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Arctic, 25km, Science Quality, 1978-2019, Monthly | Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4nhmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4nhmday.graph. Version 3 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\ngoddard_merged_seaice_conc_monthly (Goddard Edited Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, Goddard Edited, 1)\ngoddard_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC, 1)\ngoddard_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC, 1)\n | https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceSQnhmday/index.htmlTable | https://nsidc.org/data/g02202
| https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceSQnhmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceSQnhmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center, NOAA | nsidcCDRiceSQnhmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTshmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTshmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceNRTshmday/ | public | Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V1, Antarctic, 25km, Near Real-Time, 2016-Present, Monthly | Alert: There is a newer version of this dataset. Please use Version 2 of the NSIDC NRT Sea Ice Concentration CDR with ERDDAP ID: nsidcG10016v2shmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2shmday.graph. Version 1 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)\n | https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceNRTshmday/index.htmlTable | https://nsidc.org/data/g10016
| https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceNRTshmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceNRTshmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center, NOAA | nsidcCDRiceNRTshmday | |||||
| https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTnhmday | https://polarwatch.noaa.gov/erddap/griddap/nsidcCDRiceNRTnhmday.graph | https://polarwatch.noaa.gov/erddap/files/nsidcCDRiceNRTnhmday/ | public | Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record, Arctic, 25km, Near Real-Time, 2017-Present, Monthly | Alert: There is a newer version of this dataset. Please use Version 2 of the NSIDC NRT Sea Ice Concentration CDR with ERDDAP ID: nsidcG10016v2nhmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG10016v2nhmday.graph. Version 1 Summary: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][ygrid][xgrid]):\nseaice_conc_monthly_cdr (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)\nstdev_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)\nmelt_onset_day_seaice_conc_monthly_cdr (Monthly Day of Snow Melt Onset Over Sea Ice, 1)\nqa_of_seaice_conc_monthly_cdr (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)\n | https://polarwatch.noaa.gov/erddap/info/nsidcCDRiceNRTnhmday/index.htmlTable | https://nsidc.org/data/g10016
| https://polarwatch.noaa.gov/erddap/rss/nsidcCDRiceNRTnhmday.rss | https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=nsidcCDRiceNRTnhmday&showErrors=false&email= | NSIDC > National Snow and Ice Data Center, NOAA | nsidcCDRiceNRTnhmday |