Response of Global Mesoscale Convective Systems to Increased CO2 and Uniform SST Warming in a Global Storm-Resolving Model

IF 7.3 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Earths Future Pub Date : 2025-06-04 DOI:10.1029/2024EF005776
Wenhao Dong, Ming Zhao, Lucas Harris, Kai-Yuan Cheng, Linjiong Zhou, V. Ramaswamy
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引用次数: 0

Abstract

Mesoscale convective systems (MCSs) are critical components of global energy and water cycles and significantly contribute to extreme weather events. However, projecting future MCS behavior remains challenging due to the limitations of regional models and the inadequate representation of MCSs in coarser climate models. In this study, we use GFDL's global storm-resolving model (GSRM), X-SHiELD, to explore the response of global MCSs to both increased sea surface temperatures (SST) and elevated CO2 levels using three sets of unique two-year-long warming simulations. We find that SST warming leads to an increase in MCS occurrence over ocean regions while reducing it over land, whereas elevated CO2 results in an overall increase over ocean and land. When SST and CO2 increases are combined, their impacts on MCS changes are generally additive. Using stepwise multiple linear regression, we identify the key environmental drivers of these changes across five MCS hotspots, highlighting the regional variability in MCS responses. Furthermore, MCS-associated precipitation and its contribution to total rainfall are shaped by changes in both MCS frequency and the precipitation intensity within each event. By utilizing the explicit MCS-resolving capabilities of GSRMs, this study provides critical insights into future changes in MCS characteristics and their implications for global precipitation patterns.

全球风暴分解模式中全球中尺度对流系统对CO2增加和海温均匀变暖的响应
中尺度对流系统(MCSs)是全球能量和水循环的重要组成部分,对极端天气事件有重要影响。然而,由于区域模式的局限性和MCS在较粗糙的气候模式中的代表性不足,预测未来MCS的行为仍然具有挑战性。在这项研究中,我们使用GFDL的全球风暴分解模式(GSRM) X-SHiELD,利用三组独特的两年变暖模拟,探索全球MCSs对海表温度(SST)升高和二氧化碳水平升高的响应。我们发现,海温变暖导致海洋区域MCS发生增加,同时减少陆地区域MCS发生,而CO2升高导致海洋和陆地区域MCS总体增加。当海表温度和CO2同时增加时,它们对MCS变化的影响通常是加性的。利用逐步多元线性回归,我们确定了五个MCS热点地区这些变化的关键环境驱动因素,突出了MCS响应的区域差异。此外,MCS相关降水及其对总降雨量的贡献受每次事件中MCS频率和降水强度的变化的影响。通过利用GSRMs明确的MCS解析能力,本研究为MCS特征的未来变化及其对全球降水模式的影响提供了重要见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Earths Future
Earths Future ENVIRONMENTAL SCIENCESGEOSCIENCES, MULTIDI-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
11.00
自引率
7.30%
发文量
260
审稿时长
16 weeks
期刊介绍: Earth’s Future: A transdisciplinary open access journal, Earth’s Future focuses on the state of the Earth and the prediction of the planet’s future. By publishing peer-reviewed articles as well as editorials, essays, reviews, and commentaries, this journal will be the preeminent scholarly resource on the Anthropocene. It will also help assess the risks and opportunities associated with environmental changes and challenges.
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