Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 7
Articles | Volume 15, issue 7
https://doi.org/10.5194/essd-15-2781-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-2781-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 7
Data description paper
 | 
05 Jul 2023
Data description paper |  | 05 Jul 2023

Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs

Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki

Viewed

Total article views: 3,437 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,643 703 91 3,437 230 65 73
  • HTML: 2,643
  • PDF: 703
  • XML: 91
  • Total: 3,437
  • Supplement: 230
  • BibTeX: 65
  • EndNote: 73
Views and downloads (calculated since 09 Jan 2023)
Cumulative views and downloads (calculated since 09 Jan 2023)

Viewed (geographical distribution)

Total article views: 3,437 (including HTML, PDF, and XML) Thereof 3,298 with geography defined and 139 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Read more
Altmetrics
Final-revised paper
Preprint