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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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