Cargando…

Future precipitation increase constrained by climatological pattern of cloud effect

The fractional increase in global mean precipitation ([Formula: see text] ) is a first-order measure of the hydrological cycle intensification under anthropogenic warming. However, [Formula: see text] varies by a factor of more than three among model projections, hindering credible assessments of th...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Wenyu, Leung, L. Ruby, Siler, Nicholas, Lu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567723/
https://www.ncbi.nlm.nih.gov/pubmed/37821452
http://dx.doi.org/10.1038/s41467-023-42181-x
_version_ 1785119194687209472
author Zhou, Wenyu
Leung, L. Ruby
Siler, Nicholas
Lu, Jian
author_facet Zhou, Wenyu
Leung, L. Ruby
Siler, Nicholas
Lu, Jian
author_sort Zhou, Wenyu
collection PubMed
description The fractional increase in global mean precipitation ([Formula: see text] ) is a first-order measure of the hydrological cycle intensification under anthropogenic warming. However, [Formula: see text] varies by a factor of more than three among model projections, hindering credible assessments of the associated climate impacts. The uncertainty in [Formula: see text] stems from uncertainty in both hydrological sensitivity (global mean precipitation increase per unit warming) and climate sensitivity (global mean temperature increase per forcing). Here, by investigating hydrological and climate sensitivities in a unified surface-energy-balance perspective, we find that both sensitivities are significantly correlated with surface shortwave cloud feedback, which is further linked to the climatological pattern of cloud shortwave effect. The observed pattern of cloud effect thus constrains both sensitivities and consequently constrains [Formula: see text] . The 5%-95% uncertainty range of [Formula: see text] from 1979-2005 to 2080-2100 under the high-emission (moderate-emission) scenario is constrained from 6.34[Formula: see text] 3.53% (4.19[Formula: see text] 2.28%) in the raw ensemble-model projection to 7.03[Formula: see text] 2.59% (4.63[Formula: see text] 1.71%). The constraint thus suggests a higher most-likely [Formula: see text] and reduces the uncertainty by ~25%, providing valuable information for impact assessments.
format Online
Article
Text
id pubmed-10567723
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-105677232023-10-13 Future precipitation increase constrained by climatological pattern of cloud effect Zhou, Wenyu Leung, L. Ruby Siler, Nicholas Lu, Jian Nat Commun Article The fractional increase in global mean precipitation ([Formula: see text] ) is a first-order measure of the hydrological cycle intensification under anthropogenic warming. However, [Formula: see text] varies by a factor of more than three among model projections, hindering credible assessments of the associated climate impacts. The uncertainty in [Formula: see text] stems from uncertainty in both hydrological sensitivity (global mean precipitation increase per unit warming) and climate sensitivity (global mean temperature increase per forcing). Here, by investigating hydrological and climate sensitivities in a unified surface-energy-balance perspective, we find that both sensitivities are significantly correlated with surface shortwave cloud feedback, which is further linked to the climatological pattern of cloud shortwave effect. The observed pattern of cloud effect thus constrains both sensitivities and consequently constrains [Formula: see text] . The 5%-95% uncertainty range of [Formula: see text] from 1979-2005 to 2080-2100 under the high-emission (moderate-emission) scenario is constrained from 6.34[Formula: see text] 3.53% (4.19[Formula: see text] 2.28%) in the raw ensemble-model projection to 7.03[Formula: see text] 2.59% (4.63[Formula: see text] 1.71%). The constraint thus suggests a higher most-likely [Formula: see text] and reduces the uncertainty by ~25%, providing valuable information for impact assessments. Nature Publishing Group UK 2023-10-11 /pmc/articles/PMC10567723/ /pubmed/37821452 http://dx.doi.org/10.1038/s41467-023-42181-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhou, Wenyu
Leung, L. Ruby
Siler, Nicholas
Lu, Jian
Future precipitation increase constrained by climatological pattern of cloud effect
title Future precipitation increase constrained by climatological pattern of cloud effect
title_full Future precipitation increase constrained by climatological pattern of cloud effect
title_fullStr Future precipitation increase constrained by climatological pattern of cloud effect
title_full_unstemmed Future precipitation increase constrained by climatological pattern of cloud effect
title_short Future precipitation increase constrained by climatological pattern of cloud effect
title_sort future precipitation increase constrained by climatological pattern of cloud effect
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567723/
https://www.ncbi.nlm.nih.gov/pubmed/37821452
http://dx.doi.org/10.1038/s41467-023-42181-x
work_keys_str_mv AT zhouwenyu futureprecipitationincreaseconstrainedbyclimatologicalpatternofcloudeffect
AT leunglruby futureprecipitationincreaseconstrainedbyclimatologicalpatternofcloudeffect
AT silernicholas futureprecipitationincreaseconstrainedbyclimatologicalpatternofcloudeffect
AT lujian futureprecipitationincreaseconstrainedbyclimatologicalpatternofcloudeffect