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contributor authorJin, Chunhan;Wang, Bin;Liu, Jian
date accessioned2022-01-30T18:01:18Z
date available2022-01-30T18:01:18Z
date copyright9/29/2020 12:00:00 AM
date issued2020
identifier issn0894-8755
identifier otherjclid200236.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264362
description abstractAn accurate prediction of land monsoon precipitation (LMP) is critical for the sustainable future of the planet as it provides water resources for more than two-thirds of the global population. Here, we show that the ensemble mean of 24 CMIP6 (phase 6 of the Coupled Model Intercomparison Project) models projects that, under the Shared Socioeconomic Pathway 2–4.5 (SSP2–4.5) scenario, summer LMP will very likely increase in South Asia (~4.1% °C−1), likely increase in East Asia (~4.6% °C−1) and northern Africa (~2.9% °C−1), and likely decrease in North America (~−2.3% °C−1). The annual mean LMP in three Southern Hemisphere monsoon regions will likely remain unchanged due to significantly decreased winter precipitation. Regional mean LMP changes are dominated by the change in upward moisture transport with moderate contribution from evaporation and can be approximated by the changes of the product of the midtropospheric ascent and 850-hPa specific humidity. Greenhouse gas (GHG)-induced thermodynamic effects increase moisture content and stabilize the atmosphere, tending to offset each other. The spatially uniform increase of humidity cannot explain markedly different regional LMP changes. Intermodel spread analysis demonstrates that the GHG-induced circulation changes (dynamic effects) are primarily responsible for the regional differences. The GHGs induce a warm land–cool ocean pattern that strengthens the Asian monsoon, and a warm North Atlantic and Sahara that enhances the northern African monsoon, as well as an equatorial central Pacific warming that weakens the North American monsoon. CMIP6 models generally capture realistic monsoon rainfall climatology, but commonly overproduce summer rainfall variability. The models’ biases in projected regional SST and land–sea thermal contrast likely contribute to the models’ uncertainties in the projected monsoon rainfall changes.
publisherAmerican Meteorological Society
titleFuture Changes and Controlling Factors of the Eight Regional Monsoons Projected by CMIP6 Models
typeJournal Paper
journal volume33
journal issue21
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-20-0236.1
journal fristpage9307
journal lastpage9326
treeJournal of Climate:;2020:;volume( 33 ):;issue: 021
contenttypeFulltext


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