A parametric model of tropical cyclone surface winds for sea and land

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Forecasting Pub Date : 2023-07-18 DOI:10.1175/waf-d-23-0028.1
J. Kepert
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Abstract

Parametric models of tropical cyclone winds are widely used for risk assessment. Although tropical cyclones often present their worst wind risk to humanity during landfall, parametric models that represent land-sea differences are rare. This paper presents a parametric model with explicit representation of land-sea differences. Statistical models were developed over each surface of the frictional wind speed reduction from gradient level to 10 m, and of the surface inflow angle, based on about 1200 simulations with a three-dimensional dynamical boundary layer model. The wind profile of Willoughby et al. is used to represent the gradient flow, and a maximum likelihood scheme used to fit this profile to best track data. The mean RMS difference between the statistical and dynamical surface winds within 100 km of the storm centre is 0.78ms−1 and 4.26° over sea, and 1.04ms−1 and 4.59° over land. During landfall, the use of a common gradient-level structure, but different boundary layer schemes, provides dynamical consistency between the estimated winds over sea and land. A simple representation of internal boundary layers is applied near the coast. Analysis of the dynamical simulations revealed substantial consistency with observational studies of the tropical cyclone boundary layer, including that the azimuth of the surface wind maximum is on average 65° from the front of the storm, in the left forward quadrant in the Southern Hemisphere. There was however substantial variability around this figure, with the maximum occurring in the opposite forward quadrant in storms that were intense, and/or had a relatively rapid decrease in wind speed outside of the radius of maximum winds.
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热带气旋海面和陆地风的参数化模式
热带气旋风的参数模型被广泛用于风险评估。尽管热带气旋在登陆期间往往给人类带来最严重的风风险,但代表陆海差异的参数模型很少。本文提出了一个明确表示陆海差异的参数模型。基于三维动态边界层模型的约1200次模拟,在每个表面上开发了摩擦风速从梯度级降低到10m的统计模型,以及表面入流角的统计模型。Willoughby等人的风剖面用于表示梯度流,并使用最大似然方案将该剖面拟合为最佳轨迹数据。风暴中心100公里范围内的统计和动态表面风之间的平均RMS差异在海上为0.78ms−1和4.26°,在陆地为1.04ms−1到4.59°。在登陆期间,使用共同的梯度层结构,但不同的边界层方案,提供了海上和陆地上估计风之间的动力一致性。在海岸附近应用了内部边界层的简单表示。对动力学模拟的分析显示,与热带气旋边界层的观测研究基本一致,包括地表最大风的方位角与风暴前部平均65°,位于南半球的左前方象限。然而,这一数字存在很大的可变性,在强烈的风暴中,最大值出现在相反的前象限,和/或在最大风半径之外风速下降相对较快。
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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