[1]Chen Yufei,Han Yuguo,Sun Mingdong,et al.Prediction and Analysis of Future Precipitation Changes in the Sichuan Section of the Yangtze River Basin Based on the CMIP6 Climate Model[J].Research of Soil and Water Conservation,2024,31(05):288-294.[doi:10.13869/j.cnki.rswc.2024.05.014]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 05
Page number:
288-294
Column:
Public date:
2024-08-10
- Title:
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Prediction and Analysis of Future Precipitation Changes in the Sichuan Section of the Yangtze River Basin Based on the CMIP6 Climate Model
- Author(s):
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Chen Yufei1,2, Han Yuguo1, Sun Mingdong2, Han Le1
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(1.School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; 2.Chinese Research Academy of Environmental Sciences, Beijing 100083, China)
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- Keywords:
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CMIP6 model; climate change; statistical downscaling; Sichuan section of the Yangtze River Basin
- CLC:
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P467
- DOI:
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10.13869/j.cnki.rswc.2024.05.014
- Abstract:
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[Objective]Understanding and grasping the temporal and spatial changes in meteorology and reasonably predicting the future trend of climate change can provide an important theoretical basis for the formulation of regional response measures. [Methods]The Sichuan section of the Yangtze River Basin was selected as the research area. Data analysis was conducted based on measured station data from 1980 to 2014. Three future hypothetical climate scenario models(SSP1-2.6, SSP2-4.5, SSP5-8.5)were estimated using the GCM with complete scenarios in the sixth phase of the International Coupled Model Comparison Plan(CMIP6)after bias correction, and the changes in precipitation climate variables within the region were analyzed. [Results](1)There is a certain degree of underestimation of precipitation simulation in climate models, with monthly scale>seasonal scale>annual scale in terms of time scale.(2)After the calibration and evaluation of the climate model, the data are more consistent with the actual situation, and the quantile mapping method is very effective for the calibration of the Climate model data.(3)Compared to the benchmark period(1980—2014), the future precipitation in the study area is higher than the historical period under three scenarios, with SSP5-8.5>SSP2-4.5>SSP1-2.6.(4)The areas with significant increases in precipitation are mainly located in the northwest of the study area, showing a spatial pattern of low level in the west and high level in the east. [Conclusion]The climate model's prediction of future precipitation changes in the study area shows an overall increasing trend, but there is underestimation to a certain extent.