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The dynamic and thermodynamic processes dominating the reduction of global land monsoon precipitation driven by anthropogenic aerosols emission 被引量:9

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摘要 Changes in monsoon precipitation have profound social and economic impacts as more than two-thirds of the world’s population lives in monsoon regions.Observations show a significant reduction in global land monsoon precipitation during the second half of the 20 th century.Understanding the cause of this change,especially possible anthropogenic origins,is important.Here,we compare observed changes in global land monsoon precipitation during 1948–2005 with those simulated by 5 global climate models participating in the Coupled Model Inter-comparison Project-phase 5(CMIP5)under different external forcings.We show that the observed drying trend is consistent with the model simulated response to anthropogenic forcing and to anthropogenic aerosol forcing in particular.We apply the optimal fingerprinting method to quantify anthropogenic influences on precipitation and find that anthropogenic aerosols may have contributed to 102%(62–144%for the 5–95%confidence interval)of the observed decrease in global land monsoon precipitation.A moisture budget analysis indicates that the reduction in precipitation results from reduced vertical moisture advection in response to aerosol forcing.Since much of the monsoon regions,such as India and China,have been experiencing rapid developments with increasing aerosol emissions in the past decedes,our results imply a further reduction in monsoon precipitation in these regions in the future if effective mitigations to reduce aerosol emissions are not deployed.The observed decline of aerosol emission in China since 2006 helps to alleviate the reducing trend of monsoon precipiptaion.
出处 《Science China Earth Sciences》 SCIE EI CAS CSCD 2020年第7期919-933,共15页 中国科学(地球科学英文版)
基金 supported as part of the Energy Exascale Earth System Model(E3SM)project,funded by the U.S.Department of Energy,Office of Science,Office of Biological and Environmental Research supported by the CAS Strategic Priority Research Program(Grant No.XDA20060102) China MOST Program(Grant No.2018YFC1507701) the National Natural Science Foundation of China(Grant No.41775091)。
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