Projected Changes in Temperature and Precipitation Extremes over China as Measured by 50-yr Return Values and Periods Based on a CMIP5 Ensemble
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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基于 CMIP5 集合的 50 年返回值和周期测量的中国气温和降水极端事件的预测变化
DOI:
10.1007/s00376-017-6269-1
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发表时间:
2018-02
影响因子:
5.8
通讯作者:
Zhang Yongxiang
中科院分区:
文献类型:
--
作者:
Xu Ying;Gao Xuejie;Giorgi Filippo;Zhou Botao;Shi Ying;Wu Jie;Zhang Yongxiang
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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影响因子:
4.9
作者:
Kharin, Viatcheslav V.;Zwiers, Francis W.;Hegerl, Gabriele C.
通讯作者:
Hegerl, Gabriele C.
影响因子:
3.5
作者:
Buda Su;B. Xiao;D. Zhu;Tong Jiang
通讯作者:
Buda Su;B. Xiao;D. Zhu;Tong Jiang
影响因子:
5.8
作者:
Huan Zhang;P. Zhai
通讯作者:
Huan Zhang;P. Zhai
DOI:
--
发表时间:
2008
期刊:
--
影响因子:
--
作者:
张冬峰;高学杰;欧阳里程;董文杰
通讯作者:
张冬峰;高学杰;欧阳里程;董文杰
DOI:
--
发表时间:
2011
期刊:
Journal of Glaciology and Geocryology
影响因子:
--
作者:
Shi Ying
通讯作者:
Shi Ying