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.
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
Viewed
Total article views: 5,373 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Jan 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,176 | 1,092 | 105 | 5,373 | 384 | 104 | 135 |
- HTML: 4,176
- PDF: 1,092
- XML: 105
- Total: 5,373
- Supplement: 384
- BibTeX: 104
- EndNote: 135
Total article views: 3,879 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jul 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,248 | 555 | 76 | 3,879 | 262 | 88 | 120 |
- HTML: 3,248
- PDF: 555
- XML: 76
- Total: 3,879
- Supplement: 262
- BibTeX: 88
- EndNote: 120
Total article views: 1,494 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Jan 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 928 | 537 | 29 | 1,494 | 122 | 16 | 15 |
- HTML: 928
- PDF: 537
- XML: 29
- Total: 1,494
- Supplement: 122
- BibTeX: 16
- EndNote: 15
Viewed (geographical distribution)
Total article views: 5,373 (including HTML, PDF, and XML)
Thereof 5,198 with geography defined
and 175 with unknown origin.
Total article views: 3,879 (including HTML, PDF, and XML)
Thereof 3,787 with geography defined
and 92 with unknown origin.
Total article views: 1,494 (including HTML, PDF, and XML)
Thereof 1,411 with geography defined
and 83 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
13 citations as recorded by crossref.
- 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. 10.1016/j.rse.2025.114859
- Exacerbating hydrological extremes in China’s large reservoir drainage areas X. Li et al. 10.1016/j.jhydrol.2025.133297
- A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res) S. Mahto et al. 10.5194/essd-17-2693-2025
- Historical dataset of reservoir construction in arid regions E. Huang et al. 10.1038/s41597-025-05712-3
- DAM-IN: Comprehensive Dam Catchment Attributes for Dam Safety Studies in India M. Tiwari & S. Aadhar 10.1038/s41597-025-05954-1
- Assimilation of Satellite-Derived Reservoir Storage Data to Improve Global Hydrodynamic Modeling P. Liu et al. 10.3390/w16202927
- Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis L. Tang et al. 10.1016/j.jhydrol.2025.133173
- Features of Italian large dams and their upstream catchments G. Evangelista et al. 10.5194/essd-17-1407-2025
- Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data L. Tang et al. 10.1007/s11269-025-04115-8
- Incorporating multi-timescale data into a single long short-term memory network to enhance reservoir-regulated streamflow simulation L. Lang et al. 10.1016/j.jhydrol.2025.132806
- Explainable machine learning reveals climate warming increases risk of algal blooms in lakes and reservoirs Y. Ma et al. 10.1016/j.watres.2025.124460
- Optimization of reservoir release operation using genetic algorithm method S. Wahyuni et al. 10.1016/j.rineng.2024.102610
- Seasonal and annual variations of sediment trapping and particulate organic carbon burial in Yellow River reservoirs C. Huarez Yarleque et al. 10.1016/j.scitotenv.2024.176140
13 citations as recorded by crossref.
- 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. 10.1016/j.rse.2025.114859
- Exacerbating hydrological extremes in China’s large reservoir drainage areas X. Li et al. 10.1016/j.jhydrol.2025.133297
- A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res) S. Mahto et al. 10.5194/essd-17-2693-2025
- Historical dataset of reservoir construction in arid regions E. Huang et al. 10.1038/s41597-025-05712-3
- DAM-IN: Comprehensive Dam Catchment Attributes for Dam Safety Studies in India M. Tiwari & S. Aadhar 10.1038/s41597-025-05954-1
- Assimilation of Satellite-Derived Reservoir Storage Data to Improve Global Hydrodynamic Modeling P. Liu et al. 10.3390/w16202927
- Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis L. Tang et al. 10.1016/j.jhydrol.2025.133173
- Features of Italian large dams and their upstream catchments G. Evangelista et al. 10.5194/essd-17-1407-2025
- Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data L. Tang et al. 10.1007/s11269-025-04115-8
- Incorporating multi-timescale data into a single long short-term memory network to enhance reservoir-regulated streamflow simulation L. Lang et al. 10.1016/j.jhydrol.2025.132806
- Explainable machine learning reveals climate warming increases risk of algal blooms in lakes and reservoirs Y. Ma et al. 10.1016/j.watres.2025.124460
- Optimization of reservoir release operation using genetic algorithm method S. Wahyuni et al. 10.1016/j.rineng.2024.102610
- Seasonal and annual variations of sediment trapping and particulate organic carbon burial in Yellow River reservoirs C. Huarez Yarleque et al. 10.1016/j.scitotenv.2024.176140
Latest update: 01 Nov 2025
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...
Altmetrics
Final-revised paper
Preprint