Storm surge modelling along European coastlines: The effect of the spatio-temporal resolution of the atmospheric forcing

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Miguel Agulles , Marta Marcos , Angel Amores , Tim Toomey
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引用次数: 0

Abstract

The spatio-temporal resolution of atmospheric forcing plays a key role in the accuracy of simulated storm surges with hydrodynamic numerical models. Here, we generate five hydrodynamic hindcasts of coastal storm surges along the European Atlantic and the Mediterranean Sea coasts, forced with atmospheric fields of varying temporal (hourly and daily) and spatial (0.25° to 2°) resolution since 1940. Our results, that are validated with insitu tide gauge observations, show that storm surges obtained with daily forcing underestimate the magnitude of coastal extreme sea level events by up to 50% compared to hourly simulations and observations. Nevertheless, low-resolution simulations capture the temporal variability of storm surges, including strong episodes. Furthermore, taking advantage of the consistent set of coastal storm surge hindcasts, we demonstrate that storm surges forced with daily mean atmospheric fields, when bias corrected via quantile mapping, provide accurate values of daily maxima as calculated by a high-resolution hindcast. This transformation paves the way to obtain daily maxima storm surge estimates from low-resolution atmospheric fields, as those typically provided by large-scale and global climate models, at a lower computational cost.

欧洲海岸线风暴潮模型:大气强迫的时空分辨率的影响
大气强迫的时空分辨率对水力数值模式模拟风暴潮的准确性起着关键作用。在这里,我们利用 1940 年以来不同时空分辨率(每小时和每天)和空间分辨率(0.25° 到 2°)的大气场,对欧洲大西洋和地中海沿岸的风暴潮进行了五次流体力学后报。通过现场验潮仪观测验证的结果表明,与每小时的模拟和观测结果相比,用每日强迫法获得的风暴潮低估了沿海极端海平面事件的严重程度,低估幅度高达 50%。然而,低分辨率模拟捕捉到了风暴潮的时间变化,包括强风暴潮。此外,利用一致的沿岸风暴潮后报数据集,我们证明了用日平均大气场强迫风暴潮,通过量子图进行偏差校正后,可以得到高分辨率后报计算的日最大值的精确值。这种转换为从低分辨率大气场(通常由大尺度和全球气候模式提供)获取风暴潮日最大值估算值铺平了道路,而且计算成本较低。
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
Ocean Modelling
Ocean Modelling 地学-海洋学
CiteScore
5.50
自引率
9.40%
发文量
86
审稿时长
19.6 weeks
期刊介绍: The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.
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