Back to Search Start Over

Using multiple-resolution data in an adaptive simulation for typhoon-induced waves in northwest Pacific Ocean.

Authors :
Hsiao, Shih-Chun
Hou, Tien-Hung
Hsu, Tai-Wen
Tsai, Chia-Cheng
Source :
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.); Feb2020, Vol. 234 Issue 1, p284-297, 14p
Publication Year :
2020

Abstract

Due to the very large expanse of warm water in the northwest Pacific Ocean, typhoons are stronger and occur more frequently than hurricanes. In addition, there is usually a lack of unified high-resolution data of wind fields and bathymetry since multiple countries can be influenced by a typhoon. Therefore, we use multiple-resolution data in an adaptive simulation for typhoon-induced waves. Higher-resolution data are obtained from the government of Taiwan and are used for the area around Taiwan. In the other area, lower resolution data are adopted from the National Oceanic and Atmospheric Administration of the United States. An adaption criterion is implemented such that the highest resolution numerical grids move with the typhoon in a large-scale simulation. The numerical results obtained by the large-scale simulation with multiple-resolution wind fields are improved over those obtained by a smaller scale simulation with the higher resolution wind field at buoys near Taiwan. In addition, the large-scale simulation also provides results for buoys where the higher resolution wind field is not available. In addition, a speedup of fourfolds by the dynamic adaption model over the partially uniform grid one is demonstrated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14750902
Volume :
234
Issue :
1
Database :
Complementary Index
Journal :
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.)
Publication Type :
Academic Journal
Accession number :
141474380
Full Text :
https://doi.org/10.1177/1475090219826756