Changes in Flood Frequency and Seasonality Across Midwestern U.S. Watersheds Under a Warming Climate: Insights From Convection‐Permitting Climate Simulations and Physics‐Based Hydrologic Models

Abstract We combine CONUS404 convection‐permitting climate simulations with the physics‐based WRF‐Hydro model to assess how climate warming may influence flood frequency and seasonality across the Midwestern United States. This framework captures interactions among precipitation, soil moisture, and snowpack that shape flood generation. Both simulated warming and historical records show a regional shift toward more extreme warm‐season, rainfall‐driven floods. This regional signal, however, does not translate uniformly to individual watersheds, where flood responses reflect not only warming but also the influence of subregional climate variability and sampling uncertainty. Local flood‐frequency changes thus remain highly uncertain despite the thermodynamic tendency toward stronger convective precipitation. Ensembles of convection‐permitting simulations are needed to constrain plausible local outcomes. These findings suggest that flood risk communication under climate warming should distinguish broad climate‐driven tendencies from uncertain local responses.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-10-14
DOI
https://doi.org/10.1029/2026gl124622
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Changes in Flood Frequency and Seasonality Across Midwestern U.S. Watersheds Under a Warming Climate: Insights From Convection‐Permitting Climate Simulations and Physics‐Based Hydrologic Models

Mohammad Sadegh Abbasian, Daniel James Vimont, Daniel Benjamin Wright, Michael Notaro et al.
Geophysical Research Letters
Flood Risk Assessment and Management
article

Changes in Flood Frequency and Seasonality Across Midwestern U.S. Watersheds Under a Warming Climate: Insights From Convection‐Permitting Climate Simulations and Physics‐Based Hydrologic Models

Mohammad Sadegh Abbasian, Daniel James Vimont, Daniel Benjamin Wright, Michael Notaro, Stephen J. Vavrus
article en

Abstract

Abstract We combine CONUS404 convection‐permitting climate simulations with the physics‐based WRF‐Hydro model to assess how climate warming may influence flood frequency and seasonality across the Midwestern United States. This framework captures interactions among precipitation, soil moisture, and snowpack that shape flood generation. Both simulated warming and historical records show a regional shift toward more extreme warm‐season, rainfall‐driven floods. This regional signal, however, does not translate uniformly to individual watersheds, where flood responses reflect not only warming but also the influence of subregional climate variability and sampling uncertainty. Local flood‐frequency changes thus remain highly uncertain despite the thermodynamic tendency toward stronger convective precipitation. Ensembles of convection‐permitting simulations are needed to constrain plausible local outcomes. These findings suggest that flood risk communication under climate warming should distinguish broad climate‐driven tendencies from uncertain local responses.

Geophysical Research LettersVol. 53(20)
University of Wisconsin–Madison (US), University of Wisconsin–Extension (US), Wisconsin Institutes for Discovery (US)
National Science Foundation, U.S. Department of Agriculture, U.S. Department of the Interior, Michigan State University, U.S. Coastal Research Program, National Oceanic and Atmospheric Administration, U.S. Geological Survey, Michigan Sea Grant, University of Michigan, National Institute of Food and Agriculture, Bureau of Reclamation, College of Engineering, Michigan State University, Climate Program Office
Climate action
Openalex Percentile: Top 17%
Flood Risk Assessment and Management
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