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

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    JAMC-D-22-0022.1.pdf (4.297Mb)
    Date
    2022
    Author
    Zhouliang Sun
    Yanli Liu
    Jianyun Zhang
    Hua Chen
    Zhangkang Shu
    Xin Chen
    Junliang Jin
    Tiesheng Guan
    Cuishan Liu
    Ruimin He
    Guoqing Wang
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    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)
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290417
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