The PO.DAAC is pleased to announce the public release of an update to the GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) dataset.
This blended Level 4 Sea Surface Temperature (SST) dataset uses the Multiscale Ultrahigh Resolution (MUR) analysis method, and is based upon nighttime Group for High Resolution Sea Surface Temperature (GHRSST) L2P skin and subskin SST observations from many passive microwave and infrared sensors such as AMSR-E, AMSR2, Aqua and Terra MODIS, WindSat and AVHRR, and in situ SST observations. To learn more about the GHRSST Project, please refer to the GHRSST summary page. The algorithm and background to the MUR SST processing is briefly described in the following MUR summary page with more details contained in the Chin et al. 2017 publication cited below.
It has been recently updated in the forward stream to include a SST anomaly variable based on a MUR developed daily 1 km climatology (2003-2014 base period). Data granules from 23 July 2019 forward contain this new variable. At some point in the future the entire MUR v4.1 time series will be reprocessed to ensure consistency.
The dataset is described and discoverable via the PO.DAAC dataset information pages.
Citation: Chin, T. M., J. Vazquez-Cuervo, E.M. Armstrong, 2017, A multi-scale high-resolution analysis of global sea surface temperature, Remote Sensing of Environment, Volume 200, Pages 154-169, https://doi.org/10.1016/j.rse.2017.07.029.