Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2111-2021
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, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, and Zijin Yuan

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A New Global Gridded Sea Surface Temperature Data Product Based on Multisource Data Mengmeng Cao, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, and Zijin Yuan https://doi.org/10.5281/zenodo.4419804

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Short summary
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.
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