Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices

Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices

Global warming and the intensification of extreme temperature events have been major issues around the world in recent decades. Understanding changes in temperature extremes is critical to assessing and responding to the risks associated with regional temperature change. This paper takes the Longtan...

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Bibliographic Details
Published in:Advances in meteorology 2022-05, Vol.2022, p.1-19
Main Authors: Mo, Chongxun, Long, Shiting, Ruan, Yuli, Xie, Yanping, Lei, Xingbi, Lai, Shufeng, Sun, Guikai, Xing, Zhenxiang
Format: Article
Language:eng
Subjects:
Analysis
Climate change
Climate models
Cold
Emission
Emissions
Empirical analysis
Extreme cold
Extreme low temperatures
Extreme weather
Frequency
Global warming
Heat
High temperature
Meteorological observations
Minimum temperatures
Mutation
Orthogonal functions
Spatial distribution
Temperature changes
Temperature effects
Temperature extremes
Temperature index
Temporal distribution
Trends
Watersheds
Weather
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Summary:Global warming and the intensification of extreme temperature events have been major issues around the world in recent decades. Understanding changes in temperature extremes is critical to assessing and responding to the risks associated with regional temperature change. This paper takes the Longtan watershed as the research object, and 11 extreme temperature indices were calculated based on the meteorological observation data from 1959 to 2017. The Mann-Kendall trend mutation test, Empirical Orthogonal Function, and other methods were used to explore the spatial and temporal distribution characteristics of temperature extremes. Meanwhile, the simulation effects of temperature were analyzed based on 11 CMIP5 climate models, and the extreme temperature change in 2021–2050 under the high emission scenario RCP8.5 and low emission scenario RCP4.5 was estimated. The main results are as follows: both the warm-related indices and the extreme minimum temperature show an increasing trend. The cold-related frequency indices all show a decreasing trend. The spatial distribution of most temperature extremes increases or decreases from southwest to northeast, and the fluctuation is obvious with the alternation of positive and negative positions of the time. In the next 30 years, compared with the reference period 1961–1990, under the RCP4.5, the multiyear average of the Extreme Tmax and the multiyear average of the Extreme Tmin increase by 2.1°C and 0.4°C, respectively, and by 2.0°C and 0.3°C under the RCP8.5. Overall, the frequency of extreme cold events decreases, and the frequency of extreme warm events increases. There is a warming trend in temperature extremes.
ISSN:1687-9309
1687-9317