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 |
|---|---|---|---|
| View this dataset's publications | HTML | 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 | Open resource |
| View this dataset's user's guide | Documentation on the GDS version 2 format specification | Open resource | |
| Download this dataset | NetCDF | HTTPS endpoint for data browse and download | Open resource |
| View this dataset's publications | HTML | 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. | Open resource |
| The dataset's project home page | HTML | Homepage for the NASA MEaSUREs projects | Open resource |
| View documentation related to this dataset | HTML | Group for High Resolution Sea Surface Temperature Information | Open resource |
| View this dataset's data recipes | HTML | Python Subsetting Script | Open resource |
| View this dataset's data recipes | HTML | Generic data readers | Open resource |
| View this dataset's data recipes | HTML | Jupyter python notebook to co-locate MUR and MODIS L2P satellite data with Argo in-situ data for cross-validation | Open resource |
| View this dataset's data citation policy | HTML | Data Use and Citation Policy | Open resource |
| View documentation related to this dataset | HTML | MUR Project homepage | Open resource |
| Get a related visualization | JPG | Thumbnail | Open resource |
| Use this dataset in a web based tool | HTML | MUR formatted in ZARR for Amazon Web Services | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | NetCDF | Browse granule search results in Earthdata Search | Open resource |
| Get a related map visualization | HTML | SOTO (State of the Ocean) Visualization | Open resource |
| View documentation related to this dataset | HTML | GHRSST Project website | Open resource |