Gap-filling techniques applied to the GOCI-derived daily sea surface salinity product for the Changjiang diluted water front in the East China Sea

Shin, Jisun; Kim, Dae-Won; Kim, So-Hyun; Lee, Gi Seop; Khim, Boo-Keun; Jo, Young-Heon

doi:https://doi.org/10.5194/essd-16-3193-2024

Articles | Volume 16, issue 7

https://doi.org/10.5194/essd-16-3193-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-3193-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 7

Data description paper

|

10 Jul 2024

Data description paper |

| 10 Jul 2024

Gap-filling techniques applied to the GOCI-derived daily sea surface salinity product for the Changjiang diluted water front in the East China Sea

Jisun Shin, Dae-Won Kim, So-Hyun Kim, Gi Seop Lee, Boo-Keun Khim, and Young-Heon Jo

Data sets

gridded gap-free daily SSS dataset Jisun Shin et al. https://doi.org/10.22808/DATA-2023-2

Short summary

We overcame the limitations of satellite and reanalysis sea surface salinity (SSS) datasets and produced a gap-free gridded SSS product with reasonable accuracy and a spatial resolution of 1 km using a machine learning model. Our data enabled the recognition of SSS distribution and movement patterns of the Changjiang diluted water (CDW) front in the East China Sea (ECS) during summer. These results will further advance our understanding and monitoring of long-term SSS variations in the ECS.