Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 5
Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1089-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1089-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 5
Research article
 | 
14 Mar 2023
Research article |  | 14 Mar 2023

Bayesian calibration of a flood simulator using binary flood extent observations

Mariano Balbi and David Charles Bonaventure Lallemant

Viewed

Total article views: 1,281 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
965 271 45 1,281 29 21
  • HTML: 965
  • PDF: 271
  • XML: 45
  • Total: 1,281
  • BibTeX: 29
  • EndNote: 21
Views and downloads (calculated since 21 Sep 2022)
Cumulative views and downloads (calculated since 21 Sep 2022)

Viewed (geographical distribution)

Total article views: 1,281 (including HTML, PDF, and XML) Thereof 1,242 with geography defined and 39 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Apr 2024
Download
Short summary
We proposed a methodology to obtain useful and robust probabilistic predictions from computational flood simulators using satellite-borne flood extent observations. We developed a Bayesian framework to obtain the uncertainty in roughness parameters, in observations errors, and in simulator structural deficiencies. We found that it can yield improvements in predictions relative to current methodologies and can potentially lead to consistent ways of combining data from different sources.
Read more