The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain

Extreme climate events are occurring frequently under global warming. Previous studies primarily focused on isolated extreme climate events, whereas research on the synergistic changes between extreme cold (EC) and extreme warm (EW) events remains limited. This study conducted trend, correlation, an...

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Main Authors: Baoqi Li, Yanyu Chi, Hang Zhou, Shaoxiong Zhang, Yao Lu
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Atmosphere
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Online Access:https://www.mdpi.com/2073-4433/15/9/1092
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author Baoqi Li
Yanyu Chi
Hang Zhou
Shaoxiong Zhang
Yao Lu
author_facet Baoqi Li
Yanyu Chi
Hang Zhou
Shaoxiong Zhang
Yao Lu
author_sort Baoqi Li
collection DOAJ
description Extreme climate events are occurring frequently under global warming. Previous studies primarily focused on isolated extreme climate events, whereas research on the synergistic changes between extreme cold (EC) and extreme warm (EW) events remains limited. This study conducted trend, correlation, and dispersion analyses on EC and EW, as well as their synergistic changes, in the Sanjiang Plain from 1960 to 2019, using inverse distance weighting, statistical methods, and the Mann–Kendall test. The results indicated that cold-to-warm (C2W) and warm-to-cold (W2C) events were significantly and positively correlated with elevation, with correlation coefficients (r) of 0.76 and 0.84, respectively. Meanwhile, C2W showed a significant negative correlation with latitude (r = −0.55), while W2C also exhibited a significant negative correlation with latitude (r = −0.71). However, there was a significant positive correlation between (EC) and latitude (r = 0.65). After 1980, both the declining trend of EC and the increasing trend of EW slowed down, and the trends in C2W and W2C changed from decline to increase. The dispersion of EC and EW shows an increasing trend, while the dispersion of C2W and W2C exhibits a decreasing trend. This study provides important references for studying temperature fluctuations and addressing extreme climate changes.
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series Atmosphere
spelling doaj-art-78ba9c3b5fe44bd49872a3cec72fb1642025-08-20T01:55:58ZengMDPI AGAtmosphere2073-44332024-09-01159109210.3390/atmos15091092The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang PlainBaoqi Li0Yanyu Chi1Hang Zhou2Shaoxiong Zhang3Yao Lu4State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Key Laboratory of Roads and Railway Engineering Safety Control (Shijiazhuang Tiedao University), Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Key Laboratory of Roads and Railway Engineering Safety Control (Shijiazhuang Tiedao University), Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Key Laboratory of Roads and Railway Engineering Safety Control (Shijiazhuang Tiedao University), Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Key Laboratory of Roads and Railway Engineering Safety Control (Shijiazhuang Tiedao University), Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Key Laboratory of Roads and Railway Engineering Safety Control (Shijiazhuang Tiedao University), Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaExtreme climate events are occurring frequently under global warming. Previous studies primarily focused on isolated extreme climate events, whereas research on the synergistic changes between extreme cold (EC) and extreme warm (EW) events remains limited. This study conducted trend, correlation, and dispersion analyses on EC and EW, as well as their synergistic changes, in the Sanjiang Plain from 1960 to 2019, using inverse distance weighting, statistical methods, and the Mann–Kendall test. The results indicated that cold-to-warm (C2W) and warm-to-cold (W2C) events were significantly and positively correlated with elevation, with correlation coefficients (r) of 0.76 and 0.84, respectively. Meanwhile, C2W showed a significant negative correlation with latitude (r = −0.55), while W2C also exhibited a significant negative correlation with latitude (r = −0.71). However, there was a significant positive correlation between (EC) and latitude (r = 0.65). After 1980, both the declining trend of EC and the increasing trend of EW slowed down, and the trends in C2W and W2C changed from decline to increase. The dispersion of EC and EW shows an increasing trend, while the dispersion of C2W and W2C exhibits a decreasing trend. This study provides important references for studying temperature fluctuations and addressing extreme climate changes.https://www.mdpi.com/2073-4433/15/9/1092extreme coldextreme warmsynergistic changesudden sharp turns in temperatureSanjiang Plain
spellingShingle Baoqi Li
Yanyu Chi
Hang Zhou
Shaoxiong Zhang
Yao Lu
The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain
Atmosphere
extreme cold
extreme warm
synergistic change
sudden sharp turns in temperature
Sanjiang Plain
title The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain
title_full The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain
title_fullStr The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain
title_full_unstemmed The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain
title_short The Study of Synergistic Changes in Extreme Cold and Warm Events in the Sanjiang Plain
title_sort study of synergistic changes in extreme cold and warm events in the sanjiang plain
topic extreme cold
extreme warm
synergistic change
sudden sharp turns in temperature
Sanjiang Plain
url https://www.mdpi.com/2073-4433/15/9/1092
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