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通过全球可变分辨率建模探索气候变化下极端降水的变化。

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

作者信息

Sun Wei, Li Jian, Yu Rucong, Li Nina, Zhang Yi

机构信息

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.

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.

出版信息

Sci Bull (Beijing). 2024 Jan 30;69(2):237-247. doi: 10.1016/j.scib.2023.11.013. Epub 2023 Nov 7.

Abstract

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.

摘要

由于降水极端事件在模型中的表现不佳以及与多尺度系统的复杂相互作用,目前对其对全球气候变化响应的理解仍然有限。在此,我们以2021年中国破纪录的降水为例,通过一个开发的具有60 - 3千米可变分辨率全球集合建模的虚拟全球变暖(PGW)实验框架,研究其在三种不同气候情景下的变化。与当前气候相比,在更暖(更冷)气候下,降水极端事件在强度、覆盖范围和总量上增加(减少)了24.3% - 37.8%(18.7% - 56.1%)。借助所提出的PGW实验框架,我们进一步揭示了气候变化中多尺度系统相互作用对降水极端事件的影响。在更暖气候下,大规模水汽输送从双台风辐合,副热带高压向中国中部推进,增强了输送带前沿的对流能量和不稳定性。结果,直接导致降水极端事件的中尺度对流系统(MCS)比当前气候下更强。相反,更冷气候相对于更暖气候呈现出相反的变化特征,从大规模系统到局部环境再到MCS。总之,我们的研究提供了一种有前景的方法来科学评估降水极端事件对气候变化的响应,使得在研究全球多尺度系统相互作用时进行集合模拟成为可能。

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