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 language | English |
|---|---|
| Journal | Proceedings of the Coastal Engineering Conference |
| Publication status | Published - Dec 1 2010 |
| Event | 32nd International Conference on Coastal Engineering, ICCE 2010 - Shanghai, China Duration: Jun 30 2010 → Jul 5 2010 |
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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 journal › Conference article
}
TY - JOUR
T1 - Development of an inverse estimation method of sea surface drag coefficient under strong wind conditions
AU - Yokota, Masaki
AU - Hashimoto, Noriaki
AU - Kawaguchi, Koji
AU - Kawai, Hiroyasu
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
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M3 - Conference article
JO - Proceedings of the Coastal Engineering Conference
JF - Proceedings of the Coastal Engineering Conference
SN - 0893-8717
ER -