Development of an inverse estimation method of sea surface drag coefficient under strong wind conditions

Masaki Yokota, Noriaki Hashimoto, Koji Kawaguchi, Hiroyasu Kawai

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

For the purpose of clarifying the mechanism of energy transfer from winds to waves under strong wind condition, the ADWAM, a wave prediction model incorporating the data assimilation method, was modified to deduce the sea surface drag coefficients as its control variables. Then, validity of the model was verified through the identical twin experiment in deep sea conditions. Also, the behavior of the deduced parameter was examined through several experiments. As a result, it was confirmed that the drag coefficient deduced by the model is accurate enough when the number of the given observation data is sufficient compared with the number of the unknown parameters. It was also confirmed that the accuracy of the deduced coefficient can be improved by adding an a priori condition even if the number of the observation data is insufficient.

Original languageEnglish
JournalProceedings of the Coastal Engineering Conference
Publication statusPublished - Dec 1 2010
Event32nd International Conference on Coastal Engineering, ICCE 2010 - Shanghai, China
Duration: Jun 30 2010Jul 5 2010

Fingerprint

drag coefficient
Drag coefficient
estimation method
sea surface
data assimilation
Energy transfer
deep sea
experiment
Experiments
prediction
energy
parameter

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Ocean Engineering
  • Oceanography

Cite this

Development of an inverse estimation method of sea surface drag coefficient under strong wind conditions. / Yokota, Masaki; Hashimoto, Noriaki; Kawaguchi, Koji; Kawai, Hiroyasu.

In: Proceedings of the Coastal Engineering Conference, 01.12.2010.

Research output: Contribution to journalConference article

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