The Multiscale Ultrahigh Resolution (MUR) 1km time series has recently been refactored to add a 0.25 decimal degree spatial resolution analysis known as the GHRSST Level 4 MUR 0.25deg Global Foundation Sea Surface Temperature Analysis v4.2 (MUR25) dataset (https://doi.org/10.5067/GHM25-4FJ42).  The MUR25 dataset utilizes the same analysis methodology and input satellite and in situ SST sources (Chin et al., 2017), but provides a much more compact data volume and smoother feature resolution than the original MUR dataset. An aim of introducing MUR25, in addition to the MUR dataset, is to facilitate long-term studies of global SST by climate scientists, ocean and atmospheric modelers, and operators of large-scale environmental monitoring. MUR25 has been incorporated into the CEOS COVERAGE dataset suite, as well as the GHRSST Level 4 dataset climate inter-comparison study. This dataset also contains an SST anomaly field derived from a MUR25 climatology. This anomaly field could facilitate studies of the El Nino-Southern Oscillation (ENSO), as well as longer climate scale trends.

Animation of the 0.25deg global foundation sea surface temperature v4.2 from 1 September 2002 to 30 September 2019.

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, pp. 154-169, https://doi.org/10.1016/j.rse.2017.07.029.