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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID GHRSST Global 1-km Sea Surface Temperature (G1SST), Global, 0.01 Degree, 2010-2017, Daily A daily, global Sea Surface Temperature (SST) data set is produced at 1-km (also known as ultra-high resolution) by the JPL ROMS (Regional Ocean Modeling System) group. The input SST data sets are derived from the Global High-Resolution Sea Surface Temperature (SST) Pilot Project (GHRSST-PP). For details, see\n .\nThis dataset is part of the Multi-sensor Improved Sea Surface Temperatures (MISST) project, which is part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project.\n\nDISCONTINUED - The creators of the jplG1SST dataset stopped production in late Oct 2017. There are more recent files available from JPL, but they are flawed so they are not included in the dataset at ERD. You might consider using the similar jplMURSST41 dataset, \n\nwhich has the additional advantage of offering related climatology and anomaly datasets.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nSST (Analysed Sea Surface Temperature, degree_C)\nmask (sea/land/lake/ice field composite mask)\nanalysis_error (Estimated Error Standard Deviation of Analysed SST, degree_C)\n (external link) NASA JPL jplG1SST NDBC Standard Meteorological Buoy Data, 1970-present The National Data Buoy Center (NDBC) distributes meteorological data from\nmoored buoys maintained by NDBC and others. Moored buoys are the weather\nsentinels of the sea. They are deployed in the coastal and offshore waters\nfrom the western Atlantic to the Pacific Ocean around Hawaii, and from the\nBering Sea to the South Pacific. NDBC's moored buoys measure and transmit\nbarometric pressure; wind direction, speed, and gust; air and sea\ntemperature; and wave energy spectra from which significant wave height,\ndominant wave period, and average wave period are derived. Even the\ndirection of wave propagation is measured on many moored buoys. See\n for a description of the measurements.\n\nThe source data from NOAA NDBC has different column names, different units,\nand different missing values in different files, and other problems\n(notably, lots of rows with duplicate or different values for the same time\npoint). This dataset is a standardized, reformatted, and lightly edited\nversion of that source data, created by NOAA NMFS SWFSC ERD (email:\ at Before 2020-01-29, this dataset only had the data\nthat was closest to a given hour, rounded to the nearest hour. Now, this\ndataset has all of the data available from NDBC with the original time\nvalues. If there are multiple source rows for a given buoy for a given\ntime, only the row with the most non-NaN data values is kept. If there is\na gap in the data, a row of missing values is inserted (which causes a nice\ngap when the data is graphed). Also, some impossible data values are\nremoved, but this data is not perfectly clean. This dataset is now updated\nevery 5 minutes.\n\nThis dataset has both historical data (quality controlled, before\n2022-10-01T00:00:00Z) and near real time data (less quality controlled,\nwhich may change at any time, from 2022-10-01T00:00:00Z on).\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation (Station Identifier)\n... (19 more variables)\n (external link) NOAA NDBC, NOAA NMFS SWFSC ERD cwwcNDBCMet Sardine Potential Habitat V.3.0, NOAA Gap-Filled Data, Near Real-Time, US West Coast, 2012-present, Daily A habitat model of sardine distrubtion in the California Current based on satellite remote sensing chlorophyll and sea surface temperature data from the NOAA Visible and Infrared Imager/Radiometer Suite (VIIRS) SNPP/N-20 gap-filled ocean color data and NOAA GeoPolar Blended SST data.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nchlorophyll (Chlorophyll Concentration from Gap-Filled VIIRS data, mg m-3)\nsst (Sea Surface Temperature, degree_C)\npotential_habitat (Sardine Potential Habitat - Gap-filled, 1)\npotential_habitat_mask (Qualitative Map of Sardine Habitat - Gap-filled)\n (external link) NOAA/NMFS/SWFSC/FRD sardine_habitat_gapfilled

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