Articles | Volume 25, issue 10
https://doi.org/10.5194/hess-25-5603-2021
https://doi.org/10.5194/hess-25-5603-2021
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

Data sets

Data and Report from S&T Project 1794: Identifying Sources of Uncertainty in Flood Frequency Analyses A. J. Newman, A. G. Stone, M. Saharia, and K. D. Holman https://data.usbr.gov/catalog/4421

Model code and software

Framework for Understanding Structural Errors (FUSE) with user specified initial states A. J. Newman, M. P. Clark, N. Addor, D. Kavetski, and B. Henn https://doi.org/10.5281/zenodo.5567163

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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.