Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 17
Articles | Volume 29, issue 17
https://doi.org/10.5194/hess-29-4073-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-4073-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 17
Research article
 | 
03 Sep 2025
Research article |  | 03 Sep 2025

The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models

Seyed-Mohammad Hosseini-Moghari and Petra Döll

Viewed

Total article views: 3,628 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,079 354 195 3,628 188 95 118
  • HTML: 3,079
  • PDF: 354
  • XML: 195
  • Total: 3,628
  • Supplement: 188
  • BibTeX: 95
  • EndNote: 118
Views and downloads (calculated since 25 Oct 2024)
Cumulative views and downloads (calculated since 25 Oct 2024)

Viewed (geographical distribution)

Total article views: 3,628 (including HTML, PDF, and XML) Thereof 3,628 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Mar 2026
Download
Short summary
Modeling reservoir outflow and storage is challenging due to limited publicly available data and human decision-making. For 100 reservoirs in the US, we examined how calibrating reservoir algorithms against outflow and storage-related variables affects performance. We found that calibration notably improves storage simulations, while outflow simulations are more influenced by the quality of inflow data. We recommend using remotely sensed storage anomalies to calibrate reservoir algorithms.
Read more
Share