Projected Changes in Temperature and Precipitation Extremes over China as Measured by 50-yr Return Values and Periods Based on a CMIP5 Ensemble

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作者
Ying Xu
Xuejie Gao
Filippo Giorgi
Botao Zhou
Ying Shi
Jie Wu
Yongxiang Zhang
机构
[1] China Meteorological Administration,National Climate Center
[2] Chinese Academy of Sciences,Climate Change Research Center, Institute of Atmospheric Sciences
[3] The Abdus Salam International Centre for Theoretical Physics,undefined
[4] CMA-NJU Joint Laboratory for Climate Prediction Studies (LCPS/CMA-NJU),undefined
[5] University of Chinese Academy of Sciences,undefined
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关键词
CMIP5; extremes; return values and periods; China; CMIP5全球气候模式; 极端温度和降水; 50年一遇;
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摘要
Future changes in the 50-yr return level for temperature and precipitation extremes over mainland China are investigated based on a CMIP5 multi-model ensemble for RCP2.6, RCP4.5 and RCP8.5 scenarios. The following indices are analyzed: TXx and TNn (the annual maximum and minimum of daily maximum and minimum surface temperature), RX5day (the annual maximum consecutive 5-day precipitation) and CDD (maximum annual number of consecutive dry days). After first validating the model performance, future changes in the 50-yr return values and return periods for these indices are investigated along with the inter-model spread. Multi-model median changes show an increase in the 50-yr return values of TXx and a decrease for TNn, more specifically, by the end of the 21st century under RCP8.5, the present day 50-yr return period of warm events is reduced to 1.2 yr, while extreme cold events over the country are projected to essentially disappear. A general increase in RX5day 50-yr return values is found in the future. By the end of the 21st century under RCP8.5, events of the present RX5day 50-yr return period are projected to reduce to < 10 yr over most of China. Changes in CDD-50 show a dipole pattern over China, with a decrease in the values and longer return periods in the north, and vice versa in the south. Our study also highlights the need for further improvements in the representation of extreme events in climate models to assess the future risks and engineering design related to large-scale infrastructure in China.
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页码:376 / 388
页数:12
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