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.
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.
the Creative Commons Attribution 4.0 License.
Data description article
| 
05 Jul 2023
Data description article |
| 05 Jul 2023
| 05 Jul 2023
Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs
Youjiang Shen
CORRESPONDING AUTHOR
Department of Civil Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, 113-0033, Japan
Karina Nielsen
DTU Space, National Space Institute, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
Menaka Revel
Global Hydrological Prediction Center, Institute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, Japan
Dedi Liu
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China
Dai Yamazaki
Department of Civil Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, 113-0033, Japan
Global Hydrological Prediction Center, Institute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, Japan
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Cited
21 citations as recorded by crossref.
- Hydrologically driven coordination of transboundary floods C. Cheng et al.
- Remote sensing-based high-resolution reservoir drought index for identifying the occurrence and propagation of hydrological droughts in a large river basin L. Chang et al.
- Exacerbating hydrological extremes in China’s large reservoir drainage areas X. Li et al.
- A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res) S. Mahto et al.
- Historical dataset of reservoir construction in arid regions E. Huang et al.
- Compound effects of dams and levees reshape Yangtze flood dynamics and reveal substantial risk misestimations from ignoring levees S. Xu et al.
- DAM-IN: Comprehensive Dam Catchment Attributes for Dam Safety Studies in India M. Tiwari & S. Aadhar
- Assimilation of Satellite-Derived Reservoir Storage Data to Improve Global Hydrodynamic Modeling P. Liu et al.
- Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis L. Tang et al.
- Evolution of streamflow intensity, regional synergistic patterns, and driving mechanisms of the Yangtze River Y. Feng et al.
- Features of Italian large dams and their upstream catchments G. Evangelista et al.
- A sustainable energy hub from abandoned mines: Integrated pumped hydro, solar-thermal, and heat pump system for carbon-neutral communities Y. Zhang et al.
- Attribution of interannual runoff magnitude and variability in China’s large reservoir drainage areas using Global Hydrological Models X. Li et al.
- Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data L. Tang et al.
- Incorporating multi-timescale data into a single long short-term memory network to enhance reservoir-regulated streamflow simulation L. Lang et al.
- Explainable machine learning reveals climate warming increases risk of algal blooms in lakes and reservoirs Y. Ma et al.
- Optimization of reservoir release operation using genetic algorithm method S. Wahyuni et al.
- Hydraulic Engineering Assessment of Empirical Equations for Predicting Peak Discharge in Small Earthen Pond Failures M. Delgado-Yánez et al.
- A Flexible Python Module for Reservoir Simulations with Seasonally Varying and Constant Flood Storage Capacity X. Hao et al.
- Seasonal and annual variations of sediment trapping and particulate organic carbon burial in Yellow River reservoirs C. Huarez Yarleque et al.
- Global reservoir storage patterns from 2001 to 2023 characterized by satellite observations and their climatic attribution L. Tang et al.
21 citations as recorded by crossref.
- Hydrologically driven coordination of transboundary floods C. Cheng et al.
- Remote sensing-based high-resolution reservoir drought index for identifying the occurrence and propagation of hydrological droughts in a large river basin L. Chang et al.
- Exacerbating hydrological extremes in China’s large reservoir drainage areas X. Li et al.
- A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res) S. Mahto et al.
- Historical dataset of reservoir construction in arid regions E. Huang et al.
- Compound effects of dams and levees reshape Yangtze flood dynamics and reveal substantial risk misestimations from ignoring levees S. Xu et al.
- DAM-IN: Comprehensive Dam Catchment Attributes for Dam Safety Studies in India M. Tiwari & S. Aadhar
- Assimilation of Satellite-Derived Reservoir Storage Data to Improve Global Hydrodynamic Modeling P. Liu et al.
- Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis L. Tang et al.
- Evolution of streamflow intensity, regional synergistic patterns, and driving mechanisms of the Yangtze River Y. Feng et al.
- Features of Italian large dams and their upstream catchments G. Evangelista et al.
- A sustainable energy hub from abandoned mines: Integrated pumped hydro, solar-thermal, and heat pump system for carbon-neutral communities Y. Zhang et al.
- Attribution of interannual runoff magnitude and variability in China’s large reservoir drainage areas using Global Hydrological Models X. Li et al.
- Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data L. Tang et al.
- Incorporating multi-timescale data into a single long short-term memory network to enhance reservoir-regulated streamflow simulation L. Lang et al.
- Explainable machine learning reveals climate warming increases risk of algal blooms in lakes and reservoirs Y. Ma et al.
- Optimization of reservoir release operation using genetic algorithm method S. Wahyuni et al.
- Hydraulic Engineering Assessment of Empirical Equations for Predicting Peak Discharge in Small Earthen Pond Failures M. Delgado-Yánez et al.
- A Flexible Python Module for Reservoir Simulations with Seasonally Varying and Constant Flood Storage Capacity X. Hao et al.
- Seasonal and annual variations of sediment trapping and particulate organic carbon burial in Yellow River reservoirs C. Huarez Yarleque et al.
- Global reservoir storage patterns from 2001 to 2023 characterized by satellite observations and their climatic attribution L. Tang et al.
Saved (final revised paper)
Latest update: 06 May 2026
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.
Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment...
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