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The role of Advanced Microwave Scanning Radiometer 2 channels within an optimal estimation scheme for sea surface temperature

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Pearson, K., Merchant, C. orcid id iconORCID: https://orcid.org/0000-0003-4687-9850, Embury, O. orcid id iconORCID: https://orcid.org/0000-0002-1661-7828 and Donlon, C. (2018) The role of Advanced Microwave Scanning Radiometer 2 channels within an optimal estimation scheme for sea surface temperature. Remote Sensing, 10 (1). 90. ISSN 2072-4292 doi: 10.3390/rs10010090 (special issue 'Sea Surface Temperature Retrievals from Remote Sensing')

Abstract/Summary

We present an analysis of information content for sea surface temperature (SST) retrieval from the Advanced Microwave Scanning Radiometer 2 (AMSR2). We find that SST uncertainty of ∼0.37 K can be achieved within an optimal estimation framework in the presence of wind, water vapour and cloud liquid water effects, given appropriate assumptions for instrumental uncertainty and prior knowledge, and using all channels. We test all possible combinations of AMSR2 channels and demonstrate the importance of including cloud liquid water in the retrieval vector. The channel combinations, with the minimum number of channels, that carry most SST information content are calculated, since in practice calibration error drives a trade-off between retrieved SST uncertainty and the number of channels used. The most informative set of five channels is 6.9 V, 6.9 H, 7.3 V, 10.7 V and 36.5 H and these are suitable for optimal estimation retrievals. We discuss the relevance of microwave SSTs and issues related to them compared to SSTs derived from infra-red observations.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/74873
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Uncontrolled Keywords AMSR2; sea surface temperature; optimal estimation
Publisher MDPI
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