Articles | Volume 385
https://doi.org/10.5194/piahs-385-281-2024
https://doi.org/10.5194/piahs-385-281-2024
Post-conference publication
 | 
18 Apr 2024
Post-conference publication |  | 18 Apr 2024

Spatially distributed calibration of a hydrological model with variational optimization constrained by physiographic maps for flash flood forecasting in France

Maxime Jay-Allemand, Julie Demargne, Pierre-André Garambois, Pierre Javelle, Igor Gejadze, François Colleoni, Didier Organde, Patrick Arnaud, and Catherine Fouchier

Viewed

Total article views: 84 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
56 22 6 84 3 2
  • HTML: 56
  • PDF: 22
  • XML: 6
  • Total: 84
  • BibTeX: 3
  • EndNote: 2
Views and downloads (calculated since 18 Apr 2024)
Cumulative views and downloads (calculated since 18 Apr 2024)

Viewed (geographical distribution)

Total article views: 75 (including HTML, PDF, and XML) Thereof 75 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 May 2024
Download
Short summary
This work targets the improvement of a hydrologic model used for flash flood warnings. A gridded model is used to spatially describe the hydrological processes. We develop a method to estimate the best model setup based on scarce river flow observations. It uses a complex algorithm combined with geographical descriptors to generate gridded parameters that better capture catchment characteristics. Results are promising, improving the discharge estimations where no observations are available.