Wednesday, January 3, 2024

The PO.DAAC is pleased to announce the public release of the NOAA/STAR GHRSST Level 3S (super-collated) version 2.81 SST datasets, produced from the Low Earth Orbiting (LEO) JPSS (NPP, N20, N21), Metop-FG (Metop-A, B C) and NASA (Aqua, Terra) satellites.

The L3S-LEO is a family of global multi-sensor L3S gridded 0.02º resolution SST products. The L3S-LEO-PM (afternoon orbit) SST is derived from VIIRSs flown onboard JPSS satellites (NPP, N20 and N21) and MODIS onboard Aqua, by collating individual satellite ACSPO L3U SST data. It comprises 2 daily files, day and night, corresponding to nominal local equator crossing times around 01:30/13:30, respectively. The L3S-LEO-DY (daily) further combines L3S-LEO-PM and AM SSTs, both day and night, from afternoon (PM; NPP, N20, N21, Aqua) and mid-morning orbit (AM; Metop-A, B , C) satellites, plus Terra MODIS between 2000-02-24 and 2021-12-31, into a single daily SST product.

The L3S-LEO-PM and DY datasets are produced with the NOAA enterprise Advanced Clear Sky Processor for Ocean (ACSPO) v2.81 SST system, by the NOAA Center for Satellite Applications and Research (STAR). The datasets are formatted as netCDF-4, in compliance with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Processing Specification version 2.0 (GDS2). Detailed information regarding the GHRSST Level 3S products are available from the GHRSST website and also via PO.DAAC’s GHRSST mission webpage.

The near-real time (NRT) data are produced with a 3-6 hours latency, and then replaced with Re-ANalysis (RAN) files, within ~2-months. Both datasets are described and discoverable via the PO.DAAC dataset information pages, and accessible via the Cloud OPeNDAP and Harmony API services. We recommend users to download the data with the podaac-data-subscriber python tool.





  1. O. Jonasson, I. Gladkova, A. Ignatov, Y. Kihai, 2022: Towards global daily gridded super-collated SST product from low earth orbiting satellites (L3S-LEO-Daily) at NOAA. SPIE Defense + Commercial Sensing 2022, 12118,  
  2. O. Jonasson, I. Gladkova, A. Ignatov, Y. Kihai, 2021: Algorithmic improvements and consistency checks of the NOAA global gridded super-collated SSTs from low Earth orbiting satellites ACSPO L3S-LEO. SPIE Defense + Commercial Sensing 2021, 11752,  
  3. O. Jonasson, A. Ignatov, V. Pryamitsyn, B. Petrenko, Y. Kihai, 2022: JPSS VIIRS SST Reanalysis Version 3, Remote Sens., 14, 3476.
  4. O. Jonasson, A. Ignatov, V. Pryamitsyn, B. Petrenko, Y. Kihai, 2023: NOAA MODIS SST Reanalysis Version 1. Remote Sens., 15(23), 5589;

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