Long-term variability and trends of wave climate in the southern East China Sea and Northwestern Pacific Ocean from 1958 to 2009 - Wave modeling validation

Ta Cheng Yang, Yang-Ming Fan, Beng Chun Lee, Chia Chuen Kao

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

1 Citation (Scopus)

Abstract

Typhoon waves play a major role in engineering and environmental problems. Our long-term goal is to investigate variability and trends of typhoon waves over past 62 years. However, the parameters in numerical wave models need to be calibrated before a model can be applied to a specific region. In this paper, we selected the 3 most important parameters from the source term of the SWAN wave model and subjected them to sensitivity analysis to determine which parameter is the most sensitive. After sensitivity analysis, we adopted the ARS method to find the optimal value of the parameter to which the SWAN wave model is the most sensitive by comparing modeling results with observed data at three buoys off the northeastern coastal waters of Taiwan; the aim being to find optimal value of the parameter for improved modeling of wave development. The procedure adopting the optimal parameter in wave simulations did improve the accuracy of the SWAN wave model in comparison to default runs based on field observations at three buoys.

Original languageEnglish
Title of host publicationProceedings of the 21st (2011) International Offshore and Polar Engineering Conference, ISOPE-2011
Pages268-274
Number of pages7
Publication statusPublished - 2011 Sept 19
Event21st International Offshore and Polar Engineering Conference, ISOPE-2011 - Maui, HI, United States
Duration: 2011 Jun 192011 Jun 24

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other21st International Offshore and Polar Engineering Conference, ISOPE-2011
Country/TerritoryUnited States
CityMaui, HI
Period11-06-1911-06-24

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

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