Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models
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Date
2022Author
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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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)