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Letter

Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature

1
Department of Meteorology, University of Reading, Reading RG6 6BB, UK
2
National Centre for Earth Observation, University of Reading, Reading RG6 6BB, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(16), 2554; https://doi.org/10.3390/rs12162554
Received: 20 June 2020 / Revised: 5 August 2020 / Accepted: 7 August 2020 / Published: 8 August 2020
(This article belongs to the Special Issue Sea Surface Temperature Retrievals from Remote Sensing)
Atmospheric desert-dust aerosol, primarily from north Africa, causes negative biases in remotely sensed climate data records of sea surface temperature (SST). Here, large-scale bias adjustments are deduced and applied to the v2 climate data record of SST from the European Space Agency Climate Change Initiative (CCI). Unlike SST from infrared sensors, SST measured in situ is not prone to desert-dust bias. An in-situ-based SST analysis is combined with column dust mass from the Modern-Era Retrospective analysis for Research and Applications, Version 2 to deduce a monthly, large-scale adjustment to CCI analysis SSTs. Having reduced the dust-related biases, a further correction for some periods of anomalous satellite calibration is also derived. The corrections will increase the usability of the v2 CCI SST record for oceanographic and climate applications, such as understanding the role of Arabian Sea SSTs in the Indian monsoon. The corrections will also pave the way for a v3 climate data record with improved error characteristics with respect to atmospheric dust aerosol. View Full-Text
Keywords: sea surface temperature; climate data record; European Space Agency Climate Change Initiative; mineral aerosol; desert dust; remote sensing sea surface temperature; climate data record; European Space Agency Climate Change Initiative; mineral aerosol; desert dust; remote sensing
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MDPI and ACS Style

Merchant, C.J.; Embury, O. Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature. Remote Sens. 2020, 12, 2554. https://doi.org/10.3390/rs12162554

AMA Style

Merchant CJ, Embury O. Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature. Remote Sensing. 2020; 12(16):2554. https://doi.org/10.3390/rs12162554

Chicago/Turabian Style

Merchant, Christopher J., and Owen Embury. 2020. "Adjusting for Desert-Dust-Related Biases in a Climate Data Record of Sea Surface Temperature" Remote Sensing 12, no. 16: 2554. https://doi.org/10.3390/rs12162554

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