Exploring changes of precipitation extremes under climate change through global variable-resolution modeling.

Climate change Multi-scale system interaction Precipitation extreme Pseudo-global-warming experiment Variable-resolution modeling

Journal

Science bulletin
ISSN: 2095-9281
Titre abrégé: Sci Bull (Beijing)
Pays: Netherlands
ID NLM: 101655530

Informations de publication

Date de publication:
07 Nov 2023
Historique:
received: 29 05 2023
revised: 08 10 2023
accepted: 12 10 2023
medline: 23 11 2023
pubmed: 23 11 2023
entrez: 22 11 2023
Statut: aheadofprint

Résumé

Understanding the responses of precipitation extremes to global climate change remains limited owing to their poor representations in models and complicated interactions with multi-scale systems. Here we take the record-breaking precipitation over China in 2021 as an example, and study its changes under three different climate scenarios through a developed pseudo-global-warming (PGW) experimental framework with 60-3 km variable-resolution global ensemble modeling. Compared to the present climate, the precipitation extreme under a warmer (cooler) climate increased (decreased) in intensity, coverage, and total amount at a range of 24.3%-37.8% (18.7%-56.1%). With the help of the proposed PGW experimental framework, we further reveal the impacts of the multi-scale system interactions in climate change on the precipitation extreme. Under the warmer climate, large-scale water vapor transport converged from double typhoons and the subtropical high marched into central China, enhancing the convective energy and instability on the leading edge of the transport belt. As a result, the mesoscale convective system (MCS) that directly contributed to the precipitation extreme became stronger than that in the present climate. On the contrary, the cooler climate displayed opposite changing characteristics relative to the warmer climate, ranging from the large-scale systems to local environments and to the MCS. In summary, our study provides a promising approach to scientifically assess the response of precipitation extremes to climate change, making it feasible to perform ensemble simulations while investigating the multi-scale system interactions over the globe.

Identifiants

pubmed: 37993336
pii: S2095-9273(23)00767-3
doi: 10.1016/j.scib.2023.11.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 Science China Press. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare that they have no conflict of interest.

Auteurs

Wei Sun (W)

State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; Institute of Tibetan Plateau Meteorology, China Meteorological Administration, Chengdu 610072, China.

Jian Li (J)

State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; Institute of Tibetan Plateau Meteorology, China Meteorological Administration, Chengdu 610072, China. Electronic address: lij@cma.gov.cn.

Rucong Yu (R)

Department of Atmospheric Science, Yunnan University, Kunming 650091, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China.

Nina Li (N)

National Meteorological Center, China Meteorological Administration, Beijing 100081, China.

Yi Zhang (Y)

State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; 2035 Future Laboratory, PIESAT Information Technology Co Ltd, Beijing 100105, China.

Classifications MeSH