期刊
JOURNAL OF METEOROLOGICAL RESEARCH
卷 32, 期 3, 页码 351-366出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13351-018-7120-z
关键词
high temperature; wet-bulb globe temperature; heat stress; climate change
资金
- National Natural Science Foundation of China [41730645, 41425002]
- Key Research Program of the Chinese Academy of Sciences [ZDRW-ZS-2017-4]
- National Youth Top-Notch Talent Support Program in China
- Chinese Postdoctoral Science Foundation [2016M601117]
High temperature accompanied with high humidity may result in unbearable and oppressive weather. In this study, future changes of extreme high temperature and heat stress in mainland China are examined based on daily maximum temperature (T (x)) and daily maximum wet-bulb globe temperature (T (w)). T (w) has integrated the effects of both temperature and humidity. Future climate projections are derived from the bias-corrected climate data of five general circulation models under the Representative Concentration Pathways (RCPs) 2.6 and 8.5 scenarios. Changes of hot days and heat waves in July and August in the future (particularly for 2020-50 and 2070-99), relative to the baseline period (1981-2010), are estimated and analyzed. The results show that the future T (x) and T (w) of entire China will increase by 1.5-5A degrees C on average around 2085 under different RCPs. Future increases in T (x) and T (w) exhibit high spatial heterogeneity, ranging from 1.2 to 6A degrees C across different regions and RCPs. By around 2085, the mean duration of heat waves will increase by 5 days per annum under RCP8.5. According to T (x), heat waves will mostly occur in Northwest and Southeast China, whereas based on T (w) estimates, heat waves will mostly occur over Southeast China and the mean heat wave duration will be much longer than those from T (x). The total extreme hot days (T (x) or T (w) > 35A degrees C) will increase by 10-30 days. Southeast China will experience the severest heat stress in the near future as extreme high temperature and heat waves will occur more often in this region, which is particularly true when heat waves are assessed based on T (w). In comparison to those purely temperature-based indices, the index T (w) provides a new perspective for heat stress assessment in China.
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