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

Hanbeen Kim, Gabriele Villarini

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Article numbere15014
JournalHydrological Processes
Volume37
Issue number11
DOIs
StatePublished - Nov 2023
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

Keywords

  • attribution
  • flooding
  • interannual variability
  • statistical modelling
  • synoptic climatology
  • weather type/regime

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