High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021

Shen, Youjiang; Liu, Dedi; Jiang, Liguang; Nielsen, Karina; Yin, Jiabo; Liu, Jun; Bauer-Gottwein, Peter

doi:https://doi.org/10.5194/essd-14-5671-2022

Articles | Volume 14, issue 12

https://doi.org/10.5194/essd-14-5671-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-5671-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 12

Data description paper

|

22 Dec 2022

Data description paper |

| 22 Dec 2022

High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021

Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, and Peter Bauer-Gottwein

Supplement

https://doi.org/10.5194/essd-14-5671-2022-supplement

Data sets

High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021 Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, and Peter Bauer-Gottwein https://doi.org/10.5281/zenodo.7251283

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Short summary

A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) during 2010–2021. Validation against the in situ observations of 93 reservoirs indicates the relatively high accuracy and reliability of the datasets. The unique and novel remotely sensed dataset would benefit studies involving many aspects (e.g., hydrological models, water resources related studies, and more).