首页|基于核密度估计的经验路径模型在西北太平洋虚拟台风构建中的应用

基于核密度估计的经验路径模型在西北太平洋虚拟台风构建中的应用

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合理评估台风对沿海区域的影响程度与风险对于科学抵御台风灾害而言十分重要,而我国具有详细的台风观测记录至今也仅有60多年的历史,这使得在推算具有一定重现期的极值风速及相应的极值波高和潮位等特征参数时存在局限性,同时台风观测样本量的不足也限制了如深度学习等数据驱动型模型在台风灾害预报中的应用.因此,有必要基于实际台风行进规律构建虚拟台风以克服历史数据量不足的问题.故本文采用基于核密度估计的经验路径模型,在西北太平洋海域构建了18 671场虚拟台风,将虚拟台风的起始与终止位置、发生频数、行进速度和行进方向等参数与实际发生的台风进行统计意义上的对比分析.结果表明,基于本文方法构建的虚拟台风总体上符合西北太平洋历史台风的行进规律.通过这些虚拟台风的构建,可为中国沿海极值波浪和风暴增水研究提供数据量足够且性能可靠的虚拟台风样本数据库.
Application of Empirical Path Model based on kernel density estimation in the construction of synthetic typhoon in Northwest Pacific Ocean
Reliable assessment of the impact and risk of typhoons on coastal areas is very important for scientific resistance to typhoon disasters.China has a detailed typhoon observation record with a history of only 60 years,which makes it limited in estimating extreme wind speed with a long recurrence period and corresponding extreme wave height and tide level.The insufficient records also limits the application of data-driven models in typhoon dis-aster prediction.Therefore,it is necessary to construct synthetic typhoons based on the actual typhoon travel law to overcome the problem of insufficient historical observations.In this paper,18 671 synthetic typhoons were con-structed in the Northwest Pacific Ocean by using the Empirical Path Model based on kernel density estimation,and the parameters such as the start and end position,frequency of occurrence,travel speed and direction of the synthet-ic typhoons were statistically compared and analyzed with historical typhoons.The results show that the synthetic typhoon constructed based on the proposed method is generally consistent with the traveling characteristics of his-torical typhoons in the Northwest Pacific Ocean.Through the construction of these synthetic typhoons,a synthetic typhoon database with sufficient data and reliable performance can be provided for the study of extreme wave and storm surge along the coast of China.

kernel density estimationEmpirical Path Modelsynthetic typhoonNorthwest Pacific Ocean

徐晓武、陈永平、谭亚、刘畅、李尚鲁、车助镁

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河海大学水灾害防御全国重点实验室,江苏南京 210098

河海大学港口海岸与近海工程学院,江苏南京 210098

浙江省海洋监测预报中心,浙江杭州 310007

核密度估计 经验路径模型 虚拟台风 西北太平洋

国家重点研发计划浙江省基础公益研究计划广州市南沙区水务局科技项目

2023YFC3008100LGF22D0600102022-263

2024

海洋学报(中文版)
中国海洋学会

海洋学报(中文版)

CSTPCD北大核心
影响因子:1.044
ISSN:0253-4193
年,卷(期):2024.46(3)
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