Development of an online coastal wave prediction system

Dongcheng Li, Vijay Panchang, Jun Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A wave transformation model, SWAN, is used to simulate wave conditions with a high spatial resolution in Penobscot Bay and Machias Bay in the coastal Gulf of Maine. The motivations are to provide forecasts to assist mariners, recreational boaters and others, and to develop a database of hindcast information that can be used for engineering applications. Since NOAA provides both hindcast and forecast wind fields, an automatic system is set up to provide 12-hour hindcast and 48-hour forecast wave fields, which may be used to prevent future coastal disasters. Model results are compared with several field measurements to evaluate the reliability of the wave hindcast and forecast system.

Original languageEnglish
Title of host publicationSolutions to Coastal Disasters 2005 - Proceedings of the Conference
EditorsL. Wallendorf, L. Ewing, S. Rogers, C. Jones
Pages24-32
Number of pages9
Publication statusPublished - 21 Jul 2005
EventSolutions to Coastal Disasters 2005 - Charleston, SC, United States
Duration: 8 May 200511 May 2005

Publication series

NameSolutions to Coastal Disasters 2005 - Proceedings of the Conference

Other

OtherSolutions to Coastal Disasters 2005
CountryUnited States
CityCharleston, SC
Period8/5/0511/5/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Li, D., Panchang, V., & Jin, J. (2005). Development of an online coastal wave prediction system. In L. Wallendorf, L. Ewing, S. Rogers, & C. Jones (Eds.), Solutions to Coastal Disasters 2005 - Proceedings of the Conference (pp. 24-32). (Solutions to Coastal Disasters 2005 - Proceedings of the Conference).