Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 12
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

Viewed

Total article views: 2,494 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,002 442 50 2,494 117 14 18
  • HTML: 2,002
  • PDF: 442
  • XML: 50
  • Total: 2,494
  • Supplement: 117
  • BibTeX: 14
  • EndNote: 18
Views and downloads (calculated since 16 May 2022)
Cumulative views and downloads (calculated since 16 May 2022)

Viewed (geographical distribution)

Total article views: 2,494 (including HTML, PDF, and XML) Thereof 2,334 with geography defined and 160 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Mar 2023
Download
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).
Read more