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    Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models

    Source: Journal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 010::page 1399
    Author:
    Zhouliang Sun
    ,
    Yanli Liu
    ,
    Jianyun Zhang
    ,
    Hua Chen
    ,
    Zhangkang Shu
    ,
    Xin Chen
    ,
    Junliang Jin
    ,
    Tiesheng Guan
    ,
    Cuishan Liu
    ,
    Ruimin He
    ,
    Guoqing Wang
    DOI: 10.1175/JAMC-D-22-0022.1
    Publisher: American Meteorological Society
    Abstract: Water resources severely constrain high-quality development in the Yellow River basin (YRB). Predicting the trend of precipitation on the basis of satisfying precision has important guiding significance for future regional development. Using the projected precipitation in 12 CMIP6 models, this study applied the most appropriate correction method for each model from four quantile-mapping methods and projected future changes of annual precipitation in the YRB and three key regions. The projection uncertainty was quantitatively assessed by addressing model spread (MS) and range. The precipitation anomaly under all four scenarios would increase for the YRB and key regions. The increasing rates (the linear coefficient) from Shared Socioeconomic Pathway 126 (SSP126) to SSP585 were 30–62, 60–103, 84–122, and 134–204 mm (100 yr)
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      Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290417
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    contributor authorZhouliang Sun
    contributor authorYanli Liu
    contributor authorJianyun Zhang
    contributor authorHua Chen
    contributor authorZhangkang Shu
    contributor authorXin Chen
    contributor authorJunliang Jin
    contributor authorTiesheng Guan
    contributor authorCuishan Liu
    contributor authorRuimin He
    contributor authorGuoqing Wang
    date accessioned2023-04-12T18:53:11Z
    date available2023-04-12T18:53:11Z
    date copyright2022/10/01
    date issued2022
    identifier otherJAMC-D-22-0022.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290417
    description abstractWater resources severely constrain high-quality development in the Yellow River basin (YRB). Predicting the trend of precipitation on the basis of satisfying precision has important guiding significance for future regional development. Using the projected precipitation in 12 CMIP6 models, this study applied the most appropriate correction method for each model from four quantile-mapping methods and projected future changes of annual precipitation in the YRB and three key regions. The projection uncertainty was quantitatively assessed by addressing model spread (MS) and range. The precipitation anomaly under all four scenarios would increase for the YRB and key regions. The increasing rates (the linear coefficient) from Shared Socioeconomic Pathway 126 (SSP126) to SSP585 were 30–62, 60–103, 84–122, and 134–204 mm (100 yr)
    publisherAmerican Meteorological Society
    titleProjecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models
    typeJournal Paper
    journal volume61
    journal issue10
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-22-0022.1
    journal fristpage1399
    journal lastpage1417
    page1399–1417
    treeJournal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 010
    contenttypeFulltext
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