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    A Bayesian Attribution Analysis of Extreme Temperature Changes at Global and Regional Scales 

    Source: Journal of Climate:;2022:;volume( 035 ):;issue: 024:;page 4589
    Author(s): Min-Gyu Seong; Seung-Ki Min; Xuebin Zhang
    Publisher: American Meteorological Society
    Abstract: Recent studies showed that anthropogenic greenhouse gas (GHG) increase is a major driver of the observed increases in extreme temperatures at global and regional scales using an optimal fingerprint (OF) method, which is a ...
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    Human Contribution to 2020/21-like Persistent Iran Meteorological Droughts 

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 012:;page E2930
    Author(s): Jonghun Kam; Seung-Ki Min; Chang-Kyun Park; Byeong-Hee Kim; Jong-Seong Kug
    Publisher: American Meteorological Society
    Abstract: CMIP6 simulations suggest that the 2020/21-like severe and long-lasting Iran droughts have become more probable by at least 50% due mainly to anthropogenic greenhouse gas increases.
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    Attribution of the Unprecedented 2021 October Heatwave in South Korea 

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 012:;page E2923
    Author(s): Yeon-Hee Kim; Seung-Ki Min; Dong-Hyun Cha; Young-Hwa Byun; Fraser C. Lott; Peter A. Stott
    Publisher: American Meteorological Society
    Abstract: GCM ensembles indicate that the October 2021 South Korean heatwave was extremely unlikely to occur without human influences, which corresponds to 2060s’ new normal without ambitious greenhouse gas mitigation.
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