揭示不同气候条件下每日和次每日极端降雨量之间复杂的相互作用

IF 6.1 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Selma B. Guerreiro , Stephen Blenkinsop , Elizabeth Lewis , David Pritchard , Amy Green , Hayley J. Fowler
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引用次数: 0

摘要

了解短时强降雨对缓解山洪、山体滑坡、水土流失和污染事件至关重要。然而,大多数雨量计的观测数据只有日分辨率。我们利用新的全球亚日降雨量数据集来探索全球日降雨量和亚日降雨量的极端降雨情况。利用单雨量计分析(SGA)和开创性的全球尺度区域频率分析(RFA),我们首次揭示了广义极值分布(GEV)参数在不同气候和数据持续时间(1 小时、3 小时、6 小时、24 小时和每日)下的变化情况。这标志着有史以来第一次近乎全球范围的广义极值分布(RFA)成为可能,而这得益于对观测降雨数据集自动进行广义极值分布的算法的开发。我们将结果与应用于网格降雨再分析(ERA5)的 GEV 进行了比较。我们的主要发现有1) 使用ERA5,在热带气候区域的所有气候条件下,1小时降雨量和所有数据持续时间的回归水平都被明显低估。即使考虑到点估计值和区域估计值之间的差异,1 小时回归水平估计值的中位数也比 RFA 低约 40%。因此,我们强烈建议不要使用再分析网格降雨量来研究这些极端情况。2) 虽然大多数测站在使用 RFA 或 SGA 时显示出相似的回归水平,但有些测站的回归水平差异很大,而这两种方法都可能得出最高值。因此,我们强烈建议同时使用 SGA 和 RFA 估算回归水位,以便在洪水基础设施设计中进行可靠的风险评估。3) 日极端降雨量和次日极端降雨量形状参数之间的相互作用因气候区域而异,因此从日极端降雨量推断次日极端降雨量的通用方法(如使用强度-持续时间-频率曲线)不切实际。我们的研究提供了创新的方法论见解,值得在未来的极端降雨研究中加以考虑。我们的研究成果不仅有利于全球的地方利益相关者,而且也是全球范围内开展的对流允许气候模型实验数量不断增加的重要验证工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unravelling the complex interplay between daily and sub-daily rainfall extremes in different climates
Understanding short-duration intense rainfall is crucial for mitigating flash floods, landslides, soil erosion, and pollution incidents. Yet, most observations from rain gauges are only available at the daily resolution. We use the new Global Sub Daily Rainfall dataset to explore extreme rainfall at both daily and sub-daily durations worldwide. Employing Single Gauge Analysis (SGA) and pioneering global-scale Regional Frequency Analysis (RFA), we reveal for the first time how Generalized Extreme Value Distribution (GEV) parameters change across climates and data durations (1h, 3h, 6h, 24h, and daily). This marks the first-ever near-global-scale RFA, made possible by the development of an algorithm that automates RFA on observed rainfall datasets. We compare our results with GEV applied to a gridded rainfall reanalysis (ERA5). Our key findings are that: 1) using ERA5, return levels are significantly underestimated across all climates for 1h rainfall and across all data durations for gauges in the tropical climate region. Even when accounting for differences between point and areal estimates, the median 1h return level estimates are approximately 40% lower compared to RFA. We therefore strongly advise against the use of reanalysis gridded rainfall for studying these extremes. 2) While most gauges show similar return levels with RFA or SGA, some differ significantly, and either method may yield the highest values. Thus, we strongly recommend using both SGA and RFA simultaneously to estimate return levels for a robust risk assessment in flood infrastructure design. 3) The interaction between daily and sub-daily GEV shape parameters varies across climate regions, rendering a universal method for inferring sub-daily rainfall extremes from daily extremes (e.g., using Intensity-Duration-Frequency curves) impractical. Our research provides innovative methodological insights that warrant consideration in future studies on rainfall extremes. Our results not only benefit local stakeholders globally but also serve as a crucial validation tool for the rising number of convection-permitting climate model experiments conducted worldwide.
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来源期刊
Weather and Climate Extremes
Weather and Climate Extremes Earth and Planetary Sciences-Atmospheric Science
CiteScore
11.00
自引率
7.50%
发文量
102
审稿时长
33 weeks
期刊介绍: Weather and Climate Extremes Target Audience: Academics Decision makers International development agencies Non-governmental organizations (NGOs) Civil society Focus Areas: Research in weather and climate extremes Monitoring and early warning systems Assessment of vulnerability and impacts Developing and implementing intervention policies Effective risk management and adaptation practices Engagement of local communities in adopting coping strategies Information and communication strategies tailored to local and regional needs and circumstances
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