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原文传递 Regional Wave Modeling and Evaluation for the North Atlantic Coast Comprehensive Study

题名：	Regional Wave Modeling and Evaluation for the North Atlantic Coast Comprehensive Study
其他题名：	Alomar,M.,Bolan～os-Sánchez,R.,Sanchez-Arcilla,A.,and Sairouni,A.(2010)."Wave growth under variable wind conditions."Proc.,ASCE 32nd Int.Conf.on Civil Engineering in Ocean,ASCE,Reston,VA,40.Alves,J.-H.G.M.,Stripling,S.,Chawla,A.,Tolman,H.,and van der
正文语种：	英文
作者：	R. E. Jensen
关键词：	WAve Modelling (WAM);Wave modeling;Wave measurements;North Atlantic Coast Comprehensive Study (NACCS)
摘要：	Accurate estimation of storm surge along the coasts subject to extreme storm conditions requires proper wind and pressure forcing and quantification of the wind waves resulting from local and far-field energy sources. This paper summarizes the steps involved in accurately representing the offshore wave climate for the North Atlantic Coast Comprehensive Study (NACCS) domain, defined from the United States– Canadian border in Maine to the Virginia–North Carolina border. The motivation of the regional wave modeling is to provide offshore boundary conditions for the simulation of extreme extratropical and synthetic tropical events to drive the nearshore wave and surge modeling efforts within the NACCS. The offshore wave conditions were estimated using the third-generation WAve Modelling (WAM) model. Value-added wind fields were defined for each of the four wave model grids (North Atlantic Ocean Basin, U.S. Coastal Regional scale, and two subregional- scale grid systems covering the NACCS coastal domain). Five tropical events (Hurricanes Sandy, Irene, Isabel, and Gloria and Tropical Storm Josephine) and 17 extratropical events were simulated to evaluateWAM's performance. Model results were compared with 30 point-source measurements available during these storm events. Time, scatter, and quartile-quartile plots; Taylor diagrams; and a battery of statistical tests were used in the evaluation process. The WAM provided quality zero-moment wave height estimates, with biases in the range of −0.07 to −0.14 m, RMS errors (RMSEs) of about 0.40 m, scatter indexes (SIs) around 25％, and a correlation of 0.95 compared with the measurements. The wave period results contained the greatest errors with peak period biases of −0.26 to 0.06 s, RMSEs from 2.4 to 2.7 s, SIs near 25％, and a correlation between 0.47 and 0.59. The mean period biases were about −0.70s,RMSEs were about 1.5 s, and there was a correlation of 0.6–0.7. The mean wave direction biases ranged from 4.5 to −0.34° with RMSEs of 55°.
出版年：	2017
论文唯一标识：	P-108Y2017V143N02007
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/(ASCE)WW.1943-5460.0000342
期刊名称：	Journal of Waterway, Port, Coastal, and Ocean Engineering
拼音刊名(出版物代码)：	P-108
卷：	143
期：	02
页码：	71-85