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Hurricane Storm Surge Model Development
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Hurricane Storm Surge Model Development

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Physical Oceanography".

Deadline for manuscript submissions: closed (15 January 2020) | Viewed by 4666

Special Issue Editor

Dr. Muhammad K. Akbar

E-Mail Website
Guest Editor
Mechanical and Manufacturing Engineering Department, Tennessee State University, 3500 John A Merritt Blvd, Nashville, TN 37209, USA
Interests: hurricane storm surge model development; computational fluid dynamics; thermal fluids; porous media; gas turbine film cooling; catalytic converter simulation; multiphase flow; particulate flow; microchannel/minichannel flow; MPI based parallel model development; delayed detached eddy simulation turbulence model development; ANSYS FLUENT based modeling; fluid structure interaction; solar energy

Special Issue Information

Dear Colleagues,

The destruction caused by frequent hurricanes in the recent past calls for reliable storm surge models capable of predicting storm surges, floods, and levee overtopping phenomena. Forecast results from these models can facilitate effective and timely evacuations, which can potentially save lives and properties. These models can also be used to hindcast past hurricanes to improve the model capabilities and/or setup insurance strategies and policies.  There has been extensive research on various aspects of hurricane storm surge modeling. The purpose of the invited Special Issue is to publish the most exciting research with respect to the above subjects and to provide a rapid turn-around time regarding reviewing and publishing, and to disseminate the articles freely for research, teaching, and reference purposes.

High quality papers are encouraged, for publication, directly related to various aspects, as mentioned below. Novel techniques for the study are encouraged.

  • Topics—hurricane storm surge modeling
  • Model development and validation
  • Model improvement techniques and ideas
  • Mathematical formulations and numerical aspects
  • Storm surge forecast modelling challenges and remedies
  • Case studies
  • Storm surge model comparative studies
  • Future of storm surge models
  • History of storm surge modeling.

Dr. Muhammad K. Akbar
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Hurricane storm surge modeling
  • Development and validation
  • Mathematical and numerical aspects
  • Modeling challenges
  • Case studies
  • Model comparisons
  • Future of storm surge models
  • History of storm surge modeling

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Published Papers (1 paper)

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Research

30 pages, 11404 KiB  
Article
Understanding Hurricane Storm Surge Generation and Propagation Using a Forecasting Model, Forecast Advisories and Best Track in a Wind Model, and Observed Data—Case Study Hurricane Rita
by Abram Musinguzi, Muhammad K. Akbar, Jason G. Fleming and Samuel K. Hargrove
J. Mar. Sci. Eng. 2019, 7(3), 77; https://doi.org/10.3390/jmse7030077 - 21 Mar 2019
Cited by 16 | Viewed by 4246
Abstract
Meteorological forcing is the primary driving force and primary source of errors for storm surge forecasting. The objective of this study was to learn how forecasted meteorological forcing influences storm surge generation and propagation during a hurricane so that storm surge models can [...] Read more.
Meteorological forcing is the primary driving force and primary source of errors for storm surge forecasting. The objective of this study was to learn how forecasted meteorological forcing influences storm surge generation and propagation during a hurricane so that storm surge models can be reliably used to forecast actual events. Hindcasts and forecasts of Hurricane Rita (2005) storm surge was used as a case study. Meteorological forcing or surface wind/pressure fields for Hurricane Rita were generated using both the Weather Research and Forecasting (WRF) full-scale forecasting model along with archived hurricane advisories ingested into a sophisticated parametric wind model, namely Generalized Asymmetric Holland Model (GAHM). These wind fields were used to forecast Rita storm surges. Observation based wind fields from the OceanWeather Inc. (OWI) Interactive Objective Kinematic Analysis (IOKA) model, and Best track wind data ingested into the GAHM model were used to generate wind fields for comparison purposes. These wind fields were all used to hindcast Rita storm surges with the ADvanced CIRCulation (ADCIRC) model coupled with the Simulating Waves Nearshore (SWAN) model in a tightly coupled storm surge-wave model referred to as ADCIRC+SWAN. The surge results were compared against a quality-controlled database of observed data to assess the performance of these wind fields on storm surge generation and propagation. The surge hindcast produced by the OWI wind field performed the best, although some high water mark (HWM) locations were overpredicted. Although somewhat underpredicted, the WRF wind fields forecasted wider surge extent and wetted most HWM locations. The hindcast using the Best track parameters in the GAHM and the forecast using forecast/advisories from the National Hurricane Center (NHC) in the GAHM produced strong and narrow wind fields causing localized high surges, which resulted in overprediction near landfall while many HWM locations away from wind bands remained dry. Full article
(This article belongs to the Special Issue Hurricane Storm Surge Model Development)
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