Analysis of the Spatial and Temporal Variations of Temperature Extremes in the Qingyi River Basin from 1960 to 2020

Author:

Chen Ting123ORCID,Gao Jie3,Ao Tianqi2

Affiliation:

1. College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China

2. College of Water Resources & Hydropower, Sichuan University, Chengdu 610065, China

3. Institute of Plateau Meteorology, China Meteorological Administration (CMA)/Heavy Rain and Drought-Flood Disaster in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China

Abstract

The intensification of global warming under the influence of human activities has directly led to an increase in the magnitude of changes in the climate system, further exacerbating the impact on the global water cycle and making extreme weather events more frequent and intense. In this study, daily temperature data from 1960 to 2020 from nine meteorological stations in the Qingyi River basin were used to analyze the changes of 16 extreme temperature indicators using extreme temperature indicators, the trend analysis method, and the MK analysis method. The results show that in terms of spatial distribution, the colder extreme events in the basin mainly occur in the upstream and that the warmer extreme events mainly occur in the midstream and downstream. According to the temporal trends of the indicators, the indicators of extreme events with anomalous warming are dominated by a significant upward trend, in which the warm night index increases by up to 3.8 days/decade, whereas the indicators of extreme events with anomalous cold are dominated by a significant downward trend, in which the cold night index decreases by up to −3.4 days/decade. In terms of the magnitude of change in the indicators, the cold and night indicators are more variable. According the spatial difference of index changes, the extreme value index mainly shows a decreasing trend in the upstream of the basin and an increasing trend in the midstream and downstream. Combined with the characteristic of a low extreme value index in the upstream and high extreme value index in the midstream and downstream of the basin as a whole, the spatial difference in the extreme value index in the basin is expected to further increase.

Funder

Chengdu Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province

University of Information Engineering Scientific Research Fund Grant Results

the Regional Innovation Cooperation Program from Science &Technology Department of Sichuan Province

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference32 articles.

1. (2021). Climate Change 2021—The Physical Science Basis. Chem. Int., 43, 22–23.

2. Responding to the climate crisis—Taking action on the IPCC 6th Assessment Report;Hoare;Weather,2022

3. United Nations (2022, July 28). Secretary-General Calls Latest IPCC Climate Report “Code Red for Humanity”, Stressing “Irrefutable” Evidence of Human Influence [EB/OL]. (2021-08-11). Available online: https://www.un.org/press/en/2021/sgsm20847.doc.htm.

4. Global observed changes in daily climate extremes of temperature and precipitation;Alexander;J. Geophys. Res.,2006

5. Changes in daily temperature and precipitation extremes in central and south Asia;Peterson;J. Geophys. Res.,2006

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