Dynamical Factors Heavily Modulate the Future Increase of Sub-Daily Extreme Precipitation in the Alpine-Mediterranean Region

IF 7.3 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Earths Future Pub Date : 2024-11-28 DOI:10.1029/2024EF005185
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Marco Borga
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引用次数: 0

Abstract

Quantifying the future probability of sub-daily extreme precipitation in a changing climate is crucial for risk management, engineering, and insurance. Kilometer-scale convection-permitting climate models (CPMs) represent convective precipitation and complex terrain more realistically than other climate models, thereby enhancing the representation of sub-daily extremes. This study employs a novel statistical approach to evaluate projected changes in extreme sub-daily precipitation and provides a physical interpretation of their driving processes. It focuses on the complex-topography area of northern Italy, where resides almost half of the Italian population and a significant portion of the Italian economy, with a rich diversity in industry, agriculture, tourism. We use precipitation data from a CPMs ensemble covering three periods: historical (1996–2005), near future (2041–2050), far future (2090–2099) under the RCP8.5 scenario. Sub-daily to daily precipitation extremes with return periods up to 100 years are examined. We find a general intensification of extremes across all durations (from 1 to 24 hr), stronger at shorter durations and rarer probabilities. Spatial patterns vary with duration, with higher and significant increases emerging in mountainous areas in Eastern Alps and North Apennines. The detected changes cannot be explained by thermodynamics alone, highlighting the modulating role of the changes in atmospheric dynamics. These findings are crucial for enhancing risk management strategies and adapting to natural hazards in a warming climate. This approach may be exploited in larger scale analysis.

Abstract Image

动力因子对未来地中海高寒地区次日极端降水增加的重要调节作用
在不断变化的气候条件下,量化未来次日极端降水的概率对风险管理、工程和保险至关重要。千米尺度允许对流的气候模式(cpm)比其他气候模式更真实地反映对流降水和复杂地形,从而增强了亚日极端值的表征。本研究采用一种新颖的统计方法来评估极端亚日降水的预估变化,并提供其驱动过程的物理解释。它侧重于意大利北部复杂的地形区域,那里居住着意大利近一半的人口和意大利经济的重要组成部分,在工业,农业,旅游业方面具有丰富的多样性。在RCP8.5情景下,我们使用了三个时期的CPMs集合降水数据:历史(1996-2005)、近期(2041-2050)和远期(2090-2099)。研究了重现期长达100年的次日至日极端降水。我们发现极端事件在所有持续时间(从1小时到24小时)中普遍加剧,在较短的持续时间内更强,概率更小。空间格局随持续时间的变化而变化,在东阿尔卑斯和北亚平宁的山区出现了更高和显著的增长。探测到的变化不能单独用热力学来解释,突出了大气动力学变化的调节作用。这些发现对于加强风险管理战略和适应气候变暖的自然灾害至关重要。这种方法可用于更大规模的分析。
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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