Can precipitation intermittency predict flooding?

Ben Livneh, Nels R. Bjarke, Parthkumar A. Modi, Alex Furman, Darren Ficklin, Justin M. Pflug, Kristopher B. Karnauskas

Research output: Contribution to journalArticlepeer-review

Abstract

A mystery has emerged as to why patterns of increasing extreme rainfall have not been accompanied by similar levels of flooding, garnering growing attention given concerns over future flood risks. Antecedent moisture conditions have been proposed as the missing explanatory factor. Yet, reasons for moisture variability prior to flooding remain largely unstudied. Here, we evaluate the potential utility of precipitation intermittency, defined as the dry spell length prior to a flood, to explain the variability of flooding over 108 watersheds from 1950 to 2022. Flood magnitude is shown to be sensitive to intermittency, particularly in arid and semi-arid regions (PET/P > 0.84) and for basins with low soil field capacity (<0.31 m3/m3). Following extended dry spells >20 days, floods are only possible from the most intense storms, whereas a wider range of storms can produce flooding for shorter intermittency. The flood probability decreases by approximately 0.5 % for each additional day of dry spell, with overall flood probabilities being up to 30 % lower following extended dry periods. These results underscore the potential utility of precipitation intermittency for diagnosing current and future flood risks.

Original languageEnglish
Article number173824
JournalScience of the Total Environment
Volume945
DOIs
StatePublished - 1 Oct 2024

Keywords

  • Antecedent moisture conditions
  • Flood prediction
  • Global change attribution
  • Land surface processes
  • Precipitation intermittency

All Science Journal Classification (ASJC) codes

  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Environmental Chemistry

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