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On the potential use of weather types to describe the interannual variability of annual maximum discharge across the conterminous United States
Journal article   Open access   Peer reviewed

On the potential use of weather types to describe the interannual variability of annual maximum discharge across the conterminous United States

Hanbeen Kim and Gabriele Villarini
Hydrological processes, Vol.37(11), e15014
11/2023
DOI: 10.1002/hyp.15014
Appears in  UI Libraries Support Open Access
url
https://doi.org/10.1002/hyp.15014View
Published (Version of record) Open Access

Abstract

Abstract Weather types or weather regimes represent the dominant modes of large‐scale atmospheric circulation patterns and have been used to understand and explain the physical mechanisms of different weather events. While there have been many studies that analyse the changes in extreme climate events through the lenses of weather typing, there is a lack of studies that attribute changes in flood extremes to changes in weather regimes. Here we examine the potential applicability of weather types as predictors of flood extremes. For 4535 streamgages across the conterminous United States, we employ a statistical attribution approach to model the seasonal and annual maximum discharge, utilizing five weather types with distinct synoptic features. Although there are regional patterns in the relationship between weather types and the major climate drivers of flooding, our results show that the frequency of weather types does not provide enough information to model the interannual variability in the magnitude of flood peaks across the conterminous United States.
 attribution flooding interannual variability statistical modelling synoptic climatology weather type/regime UIOWA OA Agreement

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