Can precipitation intermittency predict flooding? Journal Article uri icon

Overview

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.

publication date

  • October 1, 2024

has restriction

  • closed

Date in CU Experts

  • June 28, 2024 8:55 AM

Full Author List

  • Livneh B; Bjarke NR; Modi PA; Furman A; Ficklin D; Pflug JM; Karnauskas KB

author count

  • 7

Other Profiles

Electronic International Standard Serial Number (EISSN)

  • 1879-1026

Additional Document Info

start page

  • 173824

volume

  • 945