Future changes in thermal comfort conditions over China based on multi-RegCM4 simulations

被引:78
作者
Gao Xue-Jie [1 ,2 ]
Wu Jie [1 ,2 ]
Shi Ying [3 ]
Wu Jia [3 ]
Han Zhen-Yu [3 ]
Zhang Dong-Feng [3 ,4 ]
Tong Yao [5 ]
Li Rou-Ke [3 ]
Xu Ying [3 ]
Giorgi, Filippo [6 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, Climate Change Res Ctr, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
[4] Shanxi Climate Ctr, Taiyuan, Shanxi, Peoples R China
[5] Gaizhou Meteorol Bur, Yingkou, Peoples R China
[6] Abdus Salam Int Ctr Theoret Phys, Trieste, Italy
基金
中国国家自然科学基金;
关键词
Thermal comfort conditions; RegCM; climate change; population;
D O I
10.1080/16742834.2018.1471578
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A set of high resolution (25 km) 21st century climate change projections using the regional climate model RegCM4 driven by four global model simulations were conducted over East Asia under the mid-range RCP4.5 scenario. In the present paper, the authors investigate the change in thermal comfort conditions over china based on an ensemble of the projections, using the index of effective temperature (ET), which considers the aggregate effects of temperature, relative humidity, and wind on human thermal perception. The analysis also accounts for exposure as measured by distributed population amount scenarios. The authors find that the general increase in ET leads to a large increase in population exposure to very hot days (a China-aggregated sixfold increase in 'person-days' by the end of the 21st century. There is a decrease in cool, cold, and very cold person-days. Meanwhile, a decrease in comfortable day conditions by 22% person-days is found despite an increase in climate-based comfortable days. Analysis of the different contributions to the changes (climate, population, and interactions between the two) show that climate effects play a more important role in the hot end of the thermal comfort categories, while the population effects tend to be dominant in the cold categories. Thus, overall, even a mid-level warming scenario is found to increase the thermal stress over China, although there is a strong geographical dependence. The inclusion of population exposure strongly modulates the climate-only signal, which highlights the need for including socioeconomic factors in the assessment of risks associated with climate change.
引用
收藏
页码:291 / 299
页数:9
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