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

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

doi:https://doi.org/10.5194/essd-15-2781-2023

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

Supplement

https://doi.org/10.5194/essd-15-2781-2023-supplement

Data sets

A dataset for reservoir-catchment characteristics for 3254 Chinese reservoirs, i.e., Res-CN Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki https://doi.org/10.5281/zenodo.7664489

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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.