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.

Viewed

Total article views: 4,048 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,220 772 56 4,048 29 52
  • HTML: 3,220
  • PDF: 772
  • XML: 56
  • Total: 4,048
  • BibTeX: 29
  • EndNote: 52
Views and downloads (calculated since 18 Jan 2021)
Cumulative views and downloads (calculated since 18 Jan 2021)

Viewed (geographical distribution)

Total article views: 3,719 (including HTML, PDF, and XML) Thereof 3,717 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 May 2022
Download
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.