美国大西洋沿岸极端总水位的时间、幅度和相对组成随季节而变化

IF 3.3 2区 地球科学 Q1 OCEANOGRAPHY Journal of Geophysical Research-Oceans Pub Date : 2024-09-20 DOI:10.1029/2023JC020557
Gabrielle P. Quadrado, Katherine A. Serafin
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引用次数: 0

摘要

年度最大值(AM)法和峰值超过阈值(POT)法在确定洪水事件频率方面有着悠久的历史,前者是对时间序列进行子采样,以保留每年的最大事件,后者是提取超过阈值的值来定义极值。在实践中,应用于 AM 和 POT 事件的极值分布通常假定数据来自同一统计群体。然而,世界各地,如美国的大西洋沿岸,在不同的季节会出现由不同的个体过程和不同驱动机制的风暴所导致的沿岸高水位。本研究调查了美国大西洋沿岸一年中出现极端总水位(TWL)的时间,以及波浪、潮汐和风暴潮等造成极端总水位的各个组成部分在不同地区和一年中是否有所不同。从 1980 年到 2020 年,极端 TWL 发生在热带外季节和热带季节,热带外季节发生极端 TWL 的相对比例向北增加。静止水位推动了极端 TWL 幅值的空间变化,而波浪气候则推动了热带季和热带季极端 TWL 幅值的差异。极端 TWL 组成的月际变化比空间变化更大,这突出了了解一年中不同时间极端 TWL 的驱动因素的重要性。造成极端 TWL 的过程在不同风暴季节的变化可能会对气候的大规模变化如何影响开阔的沙质海岸线的危害产生影响,并影响从适合单一人群的模式推断罕见事件的稳健性。
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The Timing, Magnitude, and Relative Composition of Extreme Total Water Levels Vary Seasonally Along the U.S. Atlantic Coast

The annual maximum (AM) method, which subsamples time series to retain the maximum event per year, and the peak-over-threshold (POT) method, which extracts values exceeding a threshold to define extremes, have long histories in determining flood event frequency. In practice, extreme value distributions applied to AM and POT events often assume that the data comes from the same statistical population. Locations across the world, like the United States (U.S.) Atlantic coastline, however, experience high coastal water levels driven by various individual processes and storms with different driving mechanisms during different seasons. This research investigates when extreme total water levels (TWLs) occur during the year along the U.S. Atlantic coast and whether individual components, like waves, tides, and storm surge, contributing to TWLs vary across regions and during the year. From 1980 to 2020, extreme TWLs occurred during the extratropical and tropical seasons, with the relative proportion of extreme TWLs occurring during the extratropical season increasing northward. Still water levels drive spatial variability in extreme TWL magnitude, while wave climate drives differences in extreme TWL magnitude between extratropical and tropical seasons. Month-to-month variability in the composition of extreme TWLs varies more than spatial variability, highlighting the importance of understanding the components driving extremes at different times of the year. Variations across storm seasons in the processes contributing to extreme TWLs may have implications for how large-scale changes to the climate impact hazards along open sandy coastlines and influence the robustness of extrapolating rare events from models fit to a single population.

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来源期刊
Journal of Geophysical Research-Oceans
Journal of Geophysical Research-Oceans Earth and Planetary Sciences-Oceanography
CiteScore
7.00
自引率
13.90%
发文量
429
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