Future changes in the risk of compound hot and dry events over China estimated with two large ensembles.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 29 09 2021
accepted: 21 02 2022
entrez: 24 3 2022
pubmed: 25 3 2022
medline: 28 4 2022
Statut: epublish

Résumé

Under the context of global warming, compound dry and hot events (CDHEs) will increase and bring serious losses to society and the economy. The projection of CDHEs is of great significance for policy-making and risk assessment. In this paper, two large ensemble simulations, CanESM2-LE and CESM-LE, are used to estimate the risk of extreme CDHEs under different warming scenarios in China. First, the biases of the model in the simulation of the temperature and precipitation over the China region are corrected, and the index of CDHEs is established based on a copula function. The results show that extreme CDHEs will occur more often in China with the increase in global warming and the more severe extreme CDHEs are, the greater the risk will be in the future with higher uncertainties. Events that would be attained once every 50 and 100 years in the current climate from CESM-LE (CAanESM2-LE) will be 1.2/1.6 (1.1/1.5) times and 1.3/2.3 (1.5/2.0) times more likely to occur in a 1.5°C/2.0°C warmer climate, respectively. Northwestern China will experience the greatest increase in the risk of extreme CDHEs. Extreme CDHEs expected once every 100 years in the current period over NW China are expected to occur approximately every 5 and 4 years under a 4.0°C warmer world in CanESM2-LE and CESM-LE, respectively.

Identifiants

pubmed: 35324940
doi: 10.1371/journal.pone.0264980
pii: PONE-D-21-31374
pmc: PMC8947123
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0264980

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Nature. 2005 Sep 22;437(7058):529-33
pubmed: 16177786

Auteurs

Zhenfei Tang (Z)

Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, China.
Fujian Climate Center, Fujian Province Meteorology Bureau, Fuzhou, China.
Fujian Key Laboratory of Severe Weather, Fujian Province Meteorology Bureau, Fuzhou, China.

Ting Yang (T)

Fujian Meteorological Service Center, Fujian Province Meteorology Bureau, Fuzhou, China.

Xin Lin (X)

Fujian Climate Center, Fujian Province Meteorology Bureau, Fuzhou, China.

Xinxin Li (X)

Fujian Climate Center, Fujian Province Meteorology Bureau, Fuzhou, China.

Rong Cao (R)

Fujian Climate Center, Fujian Province Meteorology Bureau, Fuzhou, China.

Wei Li (W)

Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, China.

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