Risks of temperature extremes over China under 1.5 °C and 2 °C global warming
The Paris Agreement aims to keep global warming to well below 2 °C above pre-industrial levels and to pursue efforts to limit it to 1.5 °C, recognizing this will reduce the risks of natural disasters significantly. As changes in the risks of temperature extremes are often associated with changes in...
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KeAi Communications Co., Ltd.
2020-09-01
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Series: | Advances in Climate Change Research |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1674927820300691 |
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author | Chen Shi Zhi-Hong Jiang Lian-Hua Zhu Xuebin Zhang Yi-Yi Yao Laurent Li |
author_facet | Chen Shi Zhi-Hong Jiang Lian-Hua Zhu Xuebin Zhang Yi-Yi Yao Laurent Li |
author_sort | Chen Shi |
collection | DOAJ |
description | The Paris Agreement aims to keep global warming to well below 2 °C above pre-industrial levels and to pursue efforts to limit it to 1.5 °C, recognizing this will reduce the risks of natural disasters significantly. As changes in the risks of temperature extremes are often associated with changes in the temperature probability distribution, further analysis is still needed to improve understanding of the warm extremes over China. In this study, changes in the occurrence probability of temperature extremes and statistic characteristics of the temperature distribution are investigated using the fifth phase of the Coupled Model Intercomparison Project (CMIP5) multimodel simulations from 1861 to 2100. The risks of the once-in-100-year TXx and TNx events are projected to increase by 14.4 and 31.4 times at 1.5 °C warming. Even, the corresponding risks under 2 °C global warming are 23.3 and 50.6, implying that the once-in-100-year TXx and TNx events are expected to occur about every 5 and 2 years over China, respectively. The Tibetan Plateau, Northwest China and south of the Yangtze River are in greater risks suffering hot extremes (both day and night extremes). Changes in the occurrence probability of warm extremes are generally well explained by the combination of the shifts in location and scale parameters in areas with grown variability, i.e., the Tibetan Plateau for TXx, south of the Yangtze River for both TXx and TNx. The location (scale) parameter leading the risks of once-in-20-year TXx to increase by more than 5 (0.25) and 3 (0.75) times under 2 °C warming in the Tibetan Plateau and south of the Yangtze River, respectively. The location parameter is more important for regions with decreased variability e.g., the Tibetan Plateau for TNx, Northwest China for both TXx and TNx, with risks increase by more than 3, 6 and 4 times due to changes in location. |
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issn | 1674-9278 |
language | English |
last_indexed | 2024-12-20T13:53:46Z |
publishDate | 2020-09-01 |
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series | Advances in Climate Change Research |
spelling | doaj.art-0c250e2d79114eeb84f8ddecfa4b80fd2022-12-21T19:38:28ZengKeAi Communications Co., Ltd.Advances in Climate Change Research1674-92782020-09-01113172184Risks of temperature extremes over China under 1.5 °C and 2 °C global warmingChen Shi0Zhi-Hong Jiang1Lian-Hua Zhu2Xuebin Zhang3Yi-Yi Yao4Laurent Li5Laboratory of Research for Middle-High Latitude Circulation System and East Asian Monsoon, Jilin Provincial Key Laboratory of Changbai Mountain Meteorology & Climate Change, Institute of Meteorological Sciences of Jilin Province, Changchun, 130062, China; Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing, 210044, ChinaKey Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Corresponding author.School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, ChinaClimate Research Division, Environment and Climate Change Canada, Toronto, Ontario M3H 5T4, CanadaSchool of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing, 210044, ChinaLaboratoire de Météorologie Dynamique, CNRS, Sorbonne Université, Ecole Normale Supérieure, Ecole Polytechnique, Paris, 75005, FranceThe Paris Agreement aims to keep global warming to well below 2 °C above pre-industrial levels and to pursue efforts to limit it to 1.5 °C, recognizing this will reduce the risks of natural disasters significantly. As changes in the risks of temperature extremes are often associated with changes in the temperature probability distribution, further analysis is still needed to improve understanding of the warm extremes over China. In this study, changes in the occurrence probability of temperature extremes and statistic characteristics of the temperature distribution are investigated using the fifth phase of the Coupled Model Intercomparison Project (CMIP5) multimodel simulations from 1861 to 2100. The risks of the once-in-100-year TXx and TNx events are projected to increase by 14.4 and 31.4 times at 1.5 °C warming. Even, the corresponding risks under 2 °C global warming are 23.3 and 50.6, implying that the once-in-100-year TXx and TNx events are expected to occur about every 5 and 2 years over China, respectively. The Tibetan Plateau, Northwest China and south of the Yangtze River are in greater risks suffering hot extremes (both day and night extremes). Changes in the occurrence probability of warm extremes are generally well explained by the combination of the shifts in location and scale parameters in areas with grown variability, i.e., the Tibetan Plateau for TXx, south of the Yangtze River for both TXx and TNx. The location (scale) parameter leading the risks of once-in-20-year TXx to increase by more than 5 (0.25) and 3 (0.75) times under 2 °C warming in the Tibetan Plateau and south of the Yangtze River, respectively. The location parameter is more important for regions with decreased variability e.g., the Tibetan Plateau for TNx, Northwest China for both TXx and TNx, with risks increase by more than 3, 6 and 4 times due to changes in location.http://www.sciencedirect.com/science/article/pii/S16749278203006911.5 °C and 2 °C global warmingTemperature extremesRisk ratiosGEVCMIP5 |
spellingShingle | Chen Shi Zhi-Hong Jiang Lian-Hua Zhu Xuebin Zhang Yi-Yi Yao Laurent Li Risks of temperature extremes over China under 1.5 °C and 2 °C global warming Advances in Climate Change Research 1.5 °C and 2 °C global warming Temperature extremes Risk ratios GEV CMIP5 |
title | Risks of temperature extremes over China under 1.5 °C and 2 °C global warming |
title_full | Risks of temperature extremes over China under 1.5 °C and 2 °C global warming |
title_fullStr | Risks of temperature extremes over China under 1.5 °C and 2 °C global warming |
title_full_unstemmed | Risks of temperature extremes over China under 1.5 °C and 2 °C global warming |
title_short | Risks of temperature extremes over China under 1.5 °C and 2 °C global warming |
title_sort | risks of temperature extremes over china under 1 5 °c and 2 °c global warming |
topic | 1.5 °C and 2 °C global warming Temperature extremes Risk ratios GEV CMIP5 |
url | http://www.sciencedirect.com/science/article/pii/S1674927820300691 |
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