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Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics

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...

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Autores principales: Gu, Lei, Yin, Jiabo, Gentine, Pierre, Wang, Hui-Min, Slater, Louise J., Sullivan, Sylvia C., Chen, Jie, Zscheischler, Jakob, Guo, Shenglian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238374/
https://www.ncbi.nlm.nih.gov/pubmed/37268612
http://dx.doi.org/10.1038/s41467-023-39039-7
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author Gu, Lei
Yin, Jiabo
Gentine, Pierre
Wang, Hui-Min
Slater, Louise J.
Sullivan, Sylvia C.
Chen, Jie
Zscheischler, Jakob
Guo, Shenglian
author_facet Gu, Lei
Yin, Jiabo
Gentine, Pierre
Wang, Hui-Min
Slater, Louise J.
Sullivan, Sylvia C.
Chen, Jie
Zscheischler, Jakob
Guo, Shenglian
author_sort Gu, Lei
collection PubMed
description 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.
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spelling pubmed-102383742023-06-04 Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics Gu, Lei Yin, Jiabo Gentine, Pierre Wang, Hui-Min Slater, Louise J. Sullivan, Sylvia C. Chen, Jie Zscheischler, Jakob Guo, Shenglian Nat Commun Article 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. Nature Publishing Group UK 2023-06-02 /pmc/articles/PMC10238374/ /pubmed/37268612 http://dx.doi.org/10.1038/s41467-023-39039-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gu, Lei
Yin, Jiabo
Gentine, Pierre
Wang, Hui-Min
Slater, Louise J.
Sullivan, Sylvia C.
Chen, Jie
Zscheischler, Jakob
Guo, Shenglian
Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
title Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
title_full Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
title_fullStr Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
title_full_unstemmed Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
title_short Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
title_sort large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238374/
https://www.ncbi.nlm.nih.gov/pubmed/37268612
http://dx.doi.org/10.1038/s41467-023-39039-7
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