NDLI: Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology

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Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology

Content Provider	MDPI
Author	Govekar, Pallavi Devidas Griffin, Christopher Beggs, Helen
Copyright Year	2022
Description	Sea surface temperature (SST) products that can resolve fine scale features, such as sub-mesoscale eddies, ocean fronts and coastal upwelling, are increasingly in demand. In response to user requirements for gap-free, highest spatial resolution, best quality and highest accuracy SST data, the Australian Bureau of Meteorology (BoM) produces operational, real-time Multi-sensor SST level 3 products by compositing SST from Advanced Very-High-Resolution Radiometer (AVHRR) sensors on Meteorological Operational satellite (MetOp)-B and National Oceanic and Atmospheric Administration (NOAA) 18, along with SST from Visible Infrared Imaging Radiometer Suite (VIIRS) sensors on the Suomi National Polar-orbiting Partnership (Suomi NPP) and NOAA 20 polar-orbiting satellites for the Australian Integrated Marine Observing System (IMOS) project. Here we discuss our method to combine data from different sensors and present validation of the satellite-derived SST against in situ SST data. The Multi-sensor Level 3 Super Collated (L3S) SSTs exhibit significantly greater spatial coverage and improved accuracy compared with the pre-existing IMOS AVHRR-only L3S SSTs. When compared to the Geo Polar Blended level 4 analysis SST data over the Great Barrier Reef, Multi-sensor L3S SST differs by less than 1 $°$ C while exhibiting a wider range of SSTs over the region. It shows more variability and restores small-scale features better than the Geo Polar Blended level 4 analysis SST data. The operational Multi-sensor L3S SST products are used as input for applications such as IMOS OceanCurrent and the BoM ReefTemp Next-Generation Coral Bleaching Nowcasting service and provide useful insight into the study of marine heatwaves and ocean upwelling in near-coastal regions.
Starting Page	3785
e-ISSN	20724292
DOI	10.3390/rs14153785
Journal	Remote Sensing
Issue Number	15
Volume Number	14
Language	English
Publisher	MDPI
Publisher Date	2022-08-06
Access Restriction	Open
Subject Keyword	Remote Sensing Marine Engineering Sea Surface Temperature Multi-sensor Sst Composite Sst Viirs Avhrr Corals Great Barrier Reef
Content Type	Text
Resource Type	Article

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