The Tampa Bay Coastal Ocean Model Performance for Hurricane Irma

Author:

Chen Jing,Weisberg Robert H.,Liu Yonggang,Zheng Lianyuan

Abstract

AbstractThe Tampa Bay response to Hurricane Irma in September 2017 is analyzed using a combination of in situ observations and numerical model simulations. The observations include winds and water levels from in situ recording stations. The model simulations are by the Tampa Bay Coastal Ocean Model (TBCOM), which downscales from the continental shelf to the estuary by nesting the unstructured grid, Finite-Volume, primitive equation Community Ocean Model (FVCOM) in the West Florida Coastal Ocean Model, which in turn downscales from the deep ocean across the continental shelf by nesting FVCOM in the Gulf of Mexico Hybrid Coordinate Ocean Model. Both the observations and the model simulations show a rapid negative storm surge (a setdown of sea level) followed by a positive surge associated with the change of wind direction. The initial forecast underestimates the magnitude of the negative surge. After adjusting for the difference between the winds actually observed compared with the original forecast winds, the hindcast sea level simulation very closely matches the observations. These findings imply that a massive exchange of water occurred between Tampa Bay and the adjacent continental shelf as the hurricane passed by the region. A large portion of the bay water was flushed out to the south, to be replaced by new waters advected in from the along the coast to the north.

Publisher

Marine Technology Society

Subject

Ocean Engineering,Oceanography

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3