Editorial Type:
Article
Article Type:
Research Article

Future Changes in Mean and Extreme Monsoon Precipitation in the Middle and Lower Yangtze River Basin, China, in the CMIP5 Models

Yanjuan Wu Department of Geography, Shanghai Normal University, Shanghai, China
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China

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Shuang-Ye Wu Geology Department, University of Dayton, Dayton, Ohio
School of Geographic and Oceanic Sciences, Nanjing University, Nanjing, China

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Jiahong Wen Department of Geography, Shanghai Normal University, Shanghai, China

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Felipe Tagle School of Operations Research and Information Engineering, Cornell University, Ithaca, New York

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Ming Xu Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China

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Jianguo Tan Shanghai Institute of Meteorological Science, Shanghai, China

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Print Publication:
01 Nov 2016
DOI:
https://doi.org/10.1175/JHM-D-16-0033.1
Page(s):
2785–2797
Restricted access

Abstract

In this study, the potential future changes of mean and extreme precipitation in the middle and lower Yangtze River basin (MLYRB), eastern China, are assessed using the models of phase 5 of the Coupled Model Intercomparison Project (CMIP5). Historical model simulations are first compared with observations in order to evaluate model performance. In general, the models simulate the precipitation mean and frequency better than the precipitation intensity and extremes, but still have difficulty capturing precipitation patterns over complex terrains. They tend to overestimate precipitation mean, frequency, and intensity while underestimating the extremes. After correcting for model biases, the spatial variation of mean precipitation projected by the multimodel ensemble mean (MME) is improved, so the MME after the bias correction is used to project changes for the years 2021–50 and 2071–2100 relative to 1971–2000 under two emission scenarios: RCP4.5 and RCP8.5. Results show that with global warming, precipitation will become less frequent but more intense over the MLYRB. Relative changes in extremes generally exceed those in mean precipitation. Moreover, increased precipitation extremes are also expected even in places where mean precipitation is projected to decrease in 2021–50. The overall increase in extreme precipitation could potentially lead to more frequent floods in this already flood-prone region.

Supplemental information related to this paper is available at the Journals Online website: http://dx.doi.org/10.1175/JHM-D-16-0033.s1.

Corresponding author address: Shuang-Ye Wu, Geology Department, University of Dayton, 300 College Park, Dayton, OH 45469-2364. E-mail: swu001@udayton.edu; jhwen@shnu.edu.cn

Abstract

In this study, the potential future changes of mean and extreme precipitation in the middle and lower Yangtze River basin (MLYRB), eastern China, are assessed using the models of phase 5 of the Coupled Model Intercomparison Project (CMIP5). Historical model simulations are first compared with observations in order to evaluate model performance. In general, the models simulate the precipitation mean and frequency better than the precipitation intensity and extremes, but still have difficulty capturing precipitation patterns over complex terrains. They tend to overestimate precipitation mean, frequency, and intensity while underestimating the extremes. After correcting for model biases, the spatial variation of mean precipitation projected by the multimodel ensemble mean (MME) is improved, so the MME after the bias correction is used to project changes for the years 2021–50 and 2071–2100 relative to 1971–2000 under two emission scenarios: RCP4.5 and RCP8.5. Results show that with global warming, precipitation will become less frequent but more intense over the MLYRB. Relative changes in extremes generally exceed those in mean precipitation. Moreover, increased precipitation extremes are also expected even in places where mean precipitation is projected to decrease in 2021–50. The overall increase in extreme precipitation could potentially lead to more frequent floods in this already flood-prone region.

Supplemental information related to this paper is available at the Journals Online website: http://dx.doi.org/10.1175/JHM-D-16-0033.s1.

Corresponding author address: Shuang-Ye Wu, Geology Department, University of Dayton, 300 College Park, Dayton, OH 45469-2364. E-mail: swu001@udayton.edu; jhwen@shnu.edu.cn

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