Predictable Patterns of Seasonal Atmospheric River Variability Over North America During Winter

Joseph P. Clark, Nathaniel C. Johnson, Mingyu Park, Miguel Bernardez, Thomas L. Delworth

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Atmospheric rivers (ARs) are elongated areas of pronounced atmospheric water vapor transport that play an important role in the hydrological cycle over North America during winter. We investigate the sources of winter seasonal AR predictability over North America using average predictability time (APT) analysis. The skill of seasonal AR frequency predictions, in dynamical model forecasts provided by the Seamless System for Prediction and Earth System Research, is nearly entirely attributable to three physically interpretable APT modes that together represent about 19% of the total seasonal AR frequency variance. These three modes represent the AR response to the El Niño-Southern Oscillation, anthropogenic forcing and equatorial heating over the eastern flank of the western Pacific warm pool, respectively. We further show that these three modes, calculated from AR frequency, explain nearly all winter seasonal precipitation forecast skill over North America.

Original languageEnglish
Article numbere2024GL112411
JournalGeophysical Research Letters
Volume52
Issue number7
DOIs
StatePublished - Apr 16 2025
Externally publishedYes

Keywords

  • El Niño-Southern Oscillation
  • atmospheric rivers
  • average predictability time
  • precipitation
  • seasonal prediction

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