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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Main Authors: Chongxun Mo, Shiting Long, Yuli Ruan, Yanping Xie, Xingbi Lei, Shufeng Lai, Guikai Sun, Zhenxiang Xing
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2022/1611015
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author Chongxun Mo
Shiting Long
Yuli Ruan
Yanping Xie
Xingbi Lei
Shufeng Lai
Guikai Sun
Zhenxiang Xing
author_facet Chongxun Mo
Shiting Long
Yuli Ruan
Yanping Xie
Xingbi Lei
Shufeng Lai
Guikai Sun
Zhenxiang Xing
author_sort Chongxun Mo
collection DOAJ
description 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.
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spelling doaj-art-d3c4407b675849d2aa099440166806032025-02-03T05:50:04ZengWileyAdvances in Meteorology1687-93172022-01-01202210.1155/2022/1611015Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple IndicesChongxun Mo0Shiting Long1Yuli Ruan2Yanping Xie3Xingbi Lei4Shufeng Lai5Guikai Sun6Zhenxiang Xing7College of Architecture and Civil EngineeringCollege of Architecture and Civil EngineeringCollege of Architecture and Civil EngineeringGuangxi Datengxia Industrial Management Co. LTDCollege of Architecture and Civil EngineeringCollege of Architecture and Civil EngineeringCollege of Architecture and Civil EngineeringSchool of Water Conservancy and Civil EngineeringGlobal 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.http://dx.doi.org/10.1155/2022/1611015
spellingShingle Chongxun Mo
Shiting Long
Yuli Ruan
Yanping Xie
Xingbi Lei
Shufeng Lai
Guikai Sun
Zhenxiang Xing
Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices
Advances in Meteorology
title Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices
title_full Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices
title_fullStr Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices
title_full_unstemmed Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices
title_short Temporal-Spatial Characteristics and Future Changes of Temperature Extremes in Longtan Watershed Based on Multiple Indices
title_sort temporal spatial characteristics and future changes of temperature extremes in longtan watershed based on multiple indices
url http://dx.doi.org/10.1155/2022/1611015
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