Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
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Author
Gu, L.Yin, J.
Gentine, P.
Wang, H.-M.
Slater, L.J.
Sullivan, S.C.
Chen, J.
Zscheischler, J.
Guo, S.
Affiliation
Department of Chemical & Environmental Engineering, University of ArizonaIssue Date
2023-06-02
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Nature ResearchCitation
Gu, L., Yin, J., Gentine, P. et al. Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics. Nat Commun 14, 3197 (2023). https://doi.org/10.1038/s41467-023-39039-7Journal
Nature CommunicationsRights
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Increasing atmospheric moisture content is expected to intensify precipitation extremes under climate warming. However, extreme precipitation sensitivity (EPS) to temperature is complicated by the presence of reduced or hook-shaped scaling, and the underlying physical mechanisms remain unclear. Here, by using atmospheric reanalysis and climate model projections, we propose a physical decomposition of EPS into thermodynamic and dynamic components (i.e., the effects of atmospheric moisture and vertical ascent velocity) at a global scale in both historical and future climates. Unlike previous expectations, we find that thermodynamics do not always contribute to precipitation intensification, with the lapse rate effect and the pressure component partly offsetting positive EPS. Large anomalies in future EPS projections (with lower and upper quartiles of −1.9%/°C and 8.0%/°C) are caused by changes in updraft strength (i.e., the dynamic component), with a contrast of positive anomalies over oceans and negative anomalies over land areas. These findings reveal counteracting effects of atmospheric thermodynamics and dynamics on EPS, and underscore the importance of understanding precipitation extremes by decomposing thermodynamic effects into more detailed terms. © 2023, The Author(s).Note
Open access journalISSN
2041-1723PubMed ID
37268612Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1038/s41467-023-39039-7
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Except where otherwise noted, this item's license is described as © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License.
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