Self-Organized Criticality in Atmospheric Rivers

Atmospheric rivers (ARs) are essential components of the global hydrological cycle, with profound implications for water resources, extreme weather events, and climate dynamics. Yet, the statistical organization and underlying physical mechanisms of AR intensity and evolution remain poorly understood. Here we apply methods from statistical physics to analyze the full life cycle of ARs and identify universal signatures of self-organized criticality. We demonstrate that AR morphology exhibits nontrivial fractal geometry, while AR event sizes-quantified via integrated water vapor transport-follow robust power-law distributions, displaying finite-size scaling. To interpret these emergent behaviors, we develop a moisture avalanche model that reproduces the observed scaling laws and links them to threshold-driven moisture transport and precipitation dissipation. These scaling properties persist under warming scenarios, suggesting that ARs operate near a critical state as emergent, self-regulating systems. Concurrently, we observe a systematic poleward migration and intensification of ARs, driven by thermodynamic amplification and dynamical reorganization. Our findings establish a statistical physics framework for ARs, connecting critical phenomena to the spatiotemporal structure of extreme events in a warming climate.

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Publication Details

Journal
Physical Review Letters
Published
2026-02-02
DOI
https://doi.org/10.1103/7l2l-g5vn
Primary Topic
Chemical and Physical Studies
Type
article
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article

Self-Organized Criticality in Atmospheric Rivers

Jingfang Fan, J Meng, T. Y. Alvin Liu, Jürgen Kurths et al.
Physical Review Letters
Chemical and Physical Studies
article

Self-Organized Criticality in Atmospheric Rivers

Jingfang Fan, J Meng, T. Y. Alvin Liu, Jürgen Kurths, Anonymous, Kim Christensen, Sheng Fang
article en

Abstract

Atmospheric rivers (ARs) are essential components of the global hydrological cycle, with profound implications for water resources, extreme weather events, and climate dynamics. Yet, the statistical organization and underlying physical mechanisms of AR intensity and evolution remain poorly understood. Here we apply methods from statistical physics to analyze the full life cycle of ARs and identify universal signatures of self-organized criticality. We demonstrate that AR morphology exhibits nontrivial fractal geometry, while AR event sizes-quantified via integrated water vapor transport-follow robust power-law distributions, displaying finite-size scaling. To interpret these emergent behaviors, we develop a moisture avalanche model that reproduces the observed scaling laws and links them to threshold-driven moisture transport and precipitation dissipation. These scaling properties persist under warming scenarios, suggesting that ARs operate near a critical state as emergent, self-regulating systems. Concurrently, we observe a systematic poleward migration and intensification of ARs, driven by thermodynamic amplification and dynamical reorganization. Our findings establish a statistical physics framework for ARs, connecting critical phenomena to the spatiotemporal structure of extreme events in a warming climate.

Physical Review LettersVol. 136(9)
Cal Poly Humboldt (US), Beijing Normal University (CN), Czech Academy of Sciences, Institute of Atmospheric Physics (CZ), Imperial College London (GB), Potsdam Institute for Climate Impact Research (DE), Technical University of Munich (DE)
Climate action
Openalex Percentile: Top 73%
Chemical and Physical Studies
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Self-Organized Criticality in Atmospheric Rivers — Jingfang Fan, J Meng, et al. · Physical Review Letters (2026) | TGRS Research Map | TGRS