Preprints
https://doi.org/10.5194/essd-2021-470
https://doi.org/10.5194/essd-2021-470
 
16 May 2022
16 May 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2020

Youjiang Shen1, Dedi Liu1, Liguang Jiang2, Karina Nielsen3, Jiabo Yin1, Jun Liu4, and Peter Bauer-Gottwein4 Youjiang Shen et al.
  • 1State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China
  • 2School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
  • 3DTU Space, National Space Institute, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
  • 4Department of Environmental Engineering, Technical University of Denmark, 2800, Kongens Lyngby, Denmark

Abstract. Reservoirs and dams are essential infrastructures in water management, thus information of their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC), is crucial for understanding their properties and interactions on hydrological and biogeochemical cycles. However, knowledge of these reservoir characteristics is scarce or inconsistent at national scale. Here, we introduce comprehensive reservoir datasets of 338 reservoirs in China, with a total of 470.6 km3 storage capacity (50 % Chinese reservoir storage capacity). Given the scarcity of publicly available gauged observations and operational applications of satellites for hydrological cycles, we utilize multiple satellite altimetry missions (SARAL/AltiKa, Sentinel-3 A and B, and CroySat-2) and Landsat satellite data to produce a comprehensive reservoir dataset on the WSE, SWA, and RWSC during 2010–2020. Validation against gauged measurements of 93 reservoirs demonstrates the relatively high accuracy and reliability of our remotely-sensed datasets: (1) Across gauge comparisons of RWSC, the median statistics of CC, NRMSE, and RMSE are 0.76, 15 %, and 0.035 km3, with a total of 75 % validated reservoirs (70 of 93) having good RMSE from 0.002 to 0.35 km3 and NRMSE values smaller than 20 %. (2) Comparisons of WSE retracked by four satellite altimeters and gauges show good agreement. Specifically, percentages of reservoirs having good and moderate RMSE values smaller than 1.0 m for CryoSat-2 (validated in 30 reservoirs), SARAL/AltiKa (8), Sentinel-3A (25), and Sentinel-3B (25) are 90 %, 88 %, 64 %, and 76 % respectively. By taking advantages of four satellite altimetry missions, we are able to densify WSE observations across spatiotemporal scales. Statistically, around 85 % validated reservoirs (53 of 62) have RMSE values below 1.0 m, while 63 % reservoirs (39 of 62) have a good data quality with RMSE values below 0.6 m. Overall, our study fills such a data gap with regard to comprehensive reservoir information in China and provides strong support for many aspects such as hydrological processes, water resources, and other studies. The dataset is publicly available on Zenodo at https://doi.org/10.5281/zenodo.5812012 (Shen et al., 2021).

Youjiang Shen et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Suggestions to authors', Zhaokai Wang, 30 May 2022
    • AC1: 'Reply on CC1', Dedi Liu, 16 Jul 2022
  • RC1: 'Comment on essd-2021-470 (Stefano Galelli)', Stefano Galelli, 11 Jul 2022
    • AC2: 'Reply on RC1', Dedi Liu, 23 Jul 2022
  • CC2: 'Comment on essd-2021-470', Xingguo Mo, 12 Oct 2022
    • AC3: 'Reply on CC2', Dedi Liu, 12 Oct 2022
      • RC2: 'Reply on AC3', Anonymous Referee #2, 15 Oct 2022
  • AC4: 'Comment on essd-2021-470', Dedi Liu, 16 Oct 2022
  • RC3: 'Comment on essd-2021-470', Anonymous Referee #3, 23 Oct 2022
    • AC5: 'Reply on RC3', Dedi Liu, 23 Oct 2022

Youjiang Shen et al.

Data sets

High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2020 Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, Peter Bauer-Gottwein https://doi.org/10.5281/zenodo.5812012

Youjiang Shen et al.

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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 2010–2020. 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 others).