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Changes in Extreme Temperature Events and Their Contribution to Mean Temperature Changes during Historical and Future Periods over Mainland China.
- Source :
- Atmosphere; Jul2022, Vol. 13 Issue 7, p1127-N.PAG, 19p
- Publication Year :
- 2022
-
Abstract
- Extreme climate events undoubtedly have essential impacts on terrestrial ecosystems, but the spatiotemporal patterns of extreme climate events at regional scales are unclear. In this study, based on observations and 14 CMIP6 global climate models, we analyzed the spatiotemporal changes in extreme temperature events at the mainland China scale and different basin scales in historical and future periods, and their relative importance for the changes in mean temperature (T<subscript>mean</subscript>). The results show that at the mainland China scale in the historical period, extreme cold days and extreme cold nights significantly decreased, while T<subscript>mean</subscript>, extreme warm days, and extreme warm nights significantly increased. However, the rates of increase in T<subscript>mean</subscript> and extreme temperature events in the Continental Basin, Southwest Basin and Yellow River Basin are higher than that at the mainland China scale. The multi-model ensemble is the best model for simulating extreme temperature events in mainland China. At the mainland China scale in the future, the trends of T<subscript>mean</subscript> and extreme temperature events are slow, rapid, and extremely rapid under SSP1-2.6, SSP2-4.5 and SSP5-8.5, respectively. In addition, the changes in the Continental Basin and Songhua and Liaohe River Basin are larger than those at the mainland China scale. In the historical and future periods, the extreme temperature events that have a great influence on the T<subscript>mean</subscript> at the Chinese mainland scale and different basin scales are all related to the minimum temperature. The findings from this study can provide references for formulating scientific and reasonable regional-scale climate change policies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20734433
- Volume :
- 13
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Atmosphere
- Publication Type :
- Academic Journal
- Accession number :
- 158176210
- Full Text :
- https://doi.org/10.3390/atmos13071127