Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 10
Articles | Volume 25, issue 10
https://doi.org/10.5194/hess-25-5603-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-5603-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 10
Research article
 | 
25 Oct 2021
Research article |  | 25 Oct 2021

Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system

Andrew J. Newman, Amanda G. Stone, Manabendra Saharia, Kathleen D. Holman, Nans Addor, and Martyn P. Clark

Viewed

Total article views: 2,962 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,921 963 78 2,962 47 48
  • HTML: 1,921
  • PDF: 963
  • XML: 78
  • Total: 2,962
  • BibTeX: 47
  • EndNote: 48
Views and downloads (calculated since 03 Mar 2021)
Cumulative views and downloads (calculated since 03 Mar 2021)

Viewed (geographical distribution)

Total article views: 2,962 (including HTML, PDF, and XML) Thereof 2,636 with geography defined and 326 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
This study assesses methods that estimate flood return periods to identify when we would obtain a large flood return estimate change if the method or input data were changed (sensitivities). We include an examination of multiple flood-generating models, which is a novel addition to the flood estimation literature. We highlight the need to select appropriate flood models for the study watershed. These results will help operational water agencies develop more robust risk assessments.
Read more