Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 ModelsSource: Journal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 010::page 1399Author: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-22-0022.1Publisher: 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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| contributor author | Zhouliang Sun | |
| contributor author | Yanli Liu | |
| contributor author | Jianyun Zhang | |
| contributor author | Hua Chen | |
| contributor author | Zhangkang Shu | |
| contributor author | Xin Chen | |
| contributor author | Junliang Jin | |
| contributor author | Tiesheng Guan | |
| contributor author | Cuishan Liu | |
| contributor author | Ruimin He | |
| contributor author | Guoqing Wang | |
| date accessioned | 2023-04-12T18:53:11Z | |
| date available | 2023-04-12T18:53:11Z | |
| date copyright | 2022/10/01 | |
| date issued | 2022 | |
| identifier other | JAMC-D-22-0022.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290417 | |
| description 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) | |
| publisher | American Meteorological Society | |
| title | Projecting Future Precipitation in the Yellow River Basin Based on CMIP6 Models | |
| type | Journal Paper | |
| journal volume | 61 | |
| journal issue | 10 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-22-0022.1 | |
| journal fristpage | 1399 | |
| journal lastpage | 1417 | |
| page | 1399–1417 | |
| tree | Journal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 010 | |
| contenttype | Fulltext |