气候变化领域集成服务门户(CCPortal): A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation

CCPortal

DOI	10.3390/atmos13040612
	A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation
	Zhu, Wei; Wang, Shuangtao; Luo, Pingping; Zha, Xianbao; Cao, Zhe; Lyu, Jiqiang; Zhou, Meimei; He, Bin; Nover, Daniel
发表日期	2022
EISSN	2073-4433
卷号	13 期号:4
英文摘要	As an essential part of the hydrological cycle, precipitation is usually associated with floods and droughts and is increasingly being paid attention to in the context of global warming. Analyzing the change trends and correlation of temperature and extreme precipitation indicators can effectively identify natural disasters. This study aimed to detect the correlation and change trends of temperature and extreme precipitation indicators in Inner Mongolia from 1960 to 2019. Panel vector autoregression (PVAR) models based on Stata software were used to detect the correlation between temperature and extreme precipitation indicators at 35 climatological stations throughout Inner Mongolia. The temperature and extreme precipitation indicator trends were analyzed using the Mann-Kendall test and Sen's slope method. The spatial distribution characteristics of the annual precipitation and rainfall intensity were more significant in the southeast and more minor in the northwest, while an increase in the annual wet days was noticeable to the northeast. The Granger cause tests of the temperature and the extreme precipitation indicators showed a correlation between each indicator and temperature at the significance level of 1%. The temperature positively correlated with only the rainfall intensity while negatively correlating with the remaining indicators. There is no doubt that trend analysis showed significant increasing trends in rainfall intensity at all stations, which means increased risk in extreme precipitation events. By contrast, the annual precipitation and annual wet days showed significant decreasing trends, which means that the precipitation is concentrated, and it is easier to form extreme precipitation events. The study can provide a basis for decision-making in water resources and drought/flood risk management in Inner Mongolia, China.
英文关键词	extreme precipitation events; climate change; PVAR models; Mann-Kendall test
语种	英语
WOS研究方向	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000786289500001
来源期刊	ATMOSPHERE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280614
作者单位	Chang'an University; Chang'an University; Guangdong Academy of Sciences; Institute of Eco-environmental & Soil Sciences, Guangdong Academy of Sciences; University of California System; University of California Merced
推荐引用方式 GB/T 7714	Zhu, Wei,Wang, Shuangtao,Luo, Pingping,et al. A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation[J],2022,13(4).
APA	Zhu, Wei.,Wang, Shuangtao.,Luo, Pingping.,Zha, Xianbao.,Cao, Zhe.,...&Nover, Daniel.(2022).A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation.ATMOSPHERE,13(4).
MLA	Zhu, Wei,et al."A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation".ATMOSPHERE 13.4(2022).