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

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.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-04-05
DOI
https://doi.org/10.1029/2024gl112411
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
3.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Joseph P. Clark, Nathaniel C. Johnson, Mingyu Park, Miguel Bernardez et al.
3 citations
Geophysical Research Letters
Climate variability and models
3.32
article

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
article en
3 citations

Abstract

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.

Geophysical Research LettersVol. 52(7)
National Oceanic and Atmospheric Administration (US), NOAA Geophysical Fluid Dynamics Laboratory (US), Princeton University (US), University Corporation for Atmospheric Research (US)
U.S. Department of Commerce, National Oceanic and Atmospheric Administration
Openalex Percentile: Top 9%
Climate variability and models
3.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.