GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1)

Description

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel.This dataset is funded by the NASA MEaSUREs program ( http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects ), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata "history:" attribute to determine if a granule is near-realtime or retrospective.

Resources

Name Format Description Link
21 Homepage for the NASA MEaSUREs projects https://earthdata.nasa.gov/esds/competitive-programs/measures/mur-sst
21 Generic data readers https://github.com/podaac/data-readers
21 MUR formatted in ZARR for Amazon Web Services https://registry.opendata.aws/mur/#usageexa
21 GHRSST Project website http://www.ghrsst.org
21 Data Use and Citation Policy https://podaac.jpl.nasa.gov/CitingPODAAC
32 HTTPS endpoint for data browse and download https://cmr.earthdata.nasa.gov/virtual-directory/collections/C1996881146-POCLOUD
21 MUR Project homepage https://podaac.jpl.nasa.gov/MEaSUREs-MUR
21 SOTO (State of the Ocean) Visualization https://soto.podaac.earthdatacloud.nasa.gov/?l=GHRSST_L4_MUR_Sea_Surface_Temperature%2CBlueMarble_ShadedRelief_Bathymetry%2CCoastlines_15m
22 Thumbnail https://podaac.jpl.nasa.gov/Podaac/thumbnails/MUR-JPL-L4-GLOB-v4.1.jpg
21 Jupyter python notebook to co-locate MUR and MODIS L2P satellite data with Argo in-situ data for cross-validation https://github.com/podaac/tutorials/blob/master/notebooks/SWOT-EA-2021/Colocate_satellite_insitu_ocean.ipynb
21 Python Subsetting Script https://github.com/nasa/podaac_tools_and_services/tree/master/subset_opendap
21 Group for High Resolution Sea Surface Temperature Information https://ghrsst.jpl.nasa.gov
33 Documentation on the GDS version 2 format specification https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/ghrsst/open/docs/GDS20r5.pdf
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGHGMR-4FJ04
21 Chin T.M., Milliff R.F., Large W.G. (1998). Basin-scale, high-wavenumber sea surface wind fields from a multiresolution analysis of scatterometer data. Journal of Atmospheric and Oceanic Technology, 15: 741-763 http://journals.ametsoc.org/doi/abs/10.1175/1520-0426%281998%29015%3C0741:BSHWSS%3E2.0.CO;2
21 Chin, Toshio Michael, Jorge Vazquez-Cuervo, and Edward M. Armstrong. A multi-scale high-resolution analysis of global sea surface temperature. Remote sensing of environment 200 (2017): 154-169. https://doi.org/10.1016/j.rse.2017.07.029
32 Browse granule search results in Earthdata Search https://search.earthdata.nasa.gov/search/granules?p=C1996881146-POCLOUD+

Tags

  • national-geospatial-data-asset
  • oceans
  • ngda
  • ocean-temperature
  • earth-science

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