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Future changes in the frequency of extreme droughts over China based on two large ensemble simulations

Authors :
Jinhua Yu
Yuchen Shen
Rongyun Pan
Wei Li
Zhihong Jiang
Panmao Zhai
Laurent Li
Yang Chen
Jing-Jia Luo
School of Atmospheric Science [Nanjing University] (SAS - NUIST)
Nanjing University of Information Science and Technology (NUIST)
Laboratoire de Météorologie Dynamique (UMR 8539) (LMD)
Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris
École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Shanghai Mental Health Center
Key Laboratory of Meteorological Disaster [Nanjing University] (KLME - NUIST)
Southeast University [Jiangsu]
Chinese Academy of Meteorological Sciences (CAMS)
JiangSu University
Source :
Journal of Climate, Journal of Climate, American Meteorological Society, 2021, pp.1. ⟨10.1175/JCLI-D-20-0656.1⟩, Journal of Climate, American Meteorological Society, 2021, pp.1. ⟨10.1175/jcli-d-20-0656.1⟩
Publication Year :
2021
Publisher :
American Meteorological Society, 2021.

Abstract

Future changes in the frequency of extreme drought events are of vital importance for risk assessment and relevant policy making. But a reliable estimation of their probability is intrinsically challenging due to limited available observations or simulations. Here, we use two large ensemble simulations, 50 members from CanESM2 and 40 members from CESM1 under the future RCP8.5 scenario, to elaborate a reliable projection of the 100-year drought events (once in a century) under different warming levels. It is however necessary to firstly remove systematic biases for the simulated temperature and precipitation through a bias-correction method based on quantile mapping. Droughts are diagnosed with the Standardized Precipitation Evapotranspiration Index (SPEI), which considers both precipitation and potential evapotranspiration (PET, involving temperature). The results show that the frequency of extreme droughts increases with the continued global warming. Some differences between the two ensembles are also observed, especially for high warming levels. The China-averaged probability of 100-year droughts that occur once in a century in the current climate increases by factors of 1.52 (1.90) and 1.44 (2.02) in the two ensembles under 1.5°C and 2°C warming levels, respectively. A simple statistical scheme shows that the increasing future risk of extreme droughts is mainly due to the increasing effect of PET on the occurrence of extreme drought events, while the effect of precipitation almost keeps constant with global warming.

Details

ISSN :
15200442 and 08948755
Database :
OpenAIRE
Journal :
Journal of Climate
Accession number :
edsair.doi.dedup.....c5ce5133492fe5779c2ebeb02cc13064