Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2111–2134, 2021
https://doi.org/10.5194/essd-13-2111-2021
Earth Syst. Sci. Data, 13, 2111–2134, 2021
https://doi.org/10.5194/essd-13-2111-2021
Data description paper
18 May 2021
Data description paper | 18 May 2021

A new global gridded sea surface temperature data product based on multisource data

Mengmeng Cao et al.

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Cited articles

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We constructed a temperature depth and observation time correction model to eliminate the sampling depth and temporal differences among different data. Then, we proposed a reconstructed spatial model that filters and removes missing pixels and low-quality pixels contaminated by clouds from raw SST images and retrieves real sea surface temperatures under cloud coverage based on multisource data to generate a high-quality unified global SST product with long-term spatiotemporal continuity.