Inverse estimation of sea surface drag coefficient based on waves observed away from strong wind region

Masaki Yokota; Noriaki Hashimoto; Yuta Tanaka

Inverse estimation of sea surface drag coefficient based on waves observed away from strong wind region

Masaki Yokota, Noriaki Hashimoto, Yuta Tanaka

Disaster Risk Reduction Research Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

A wave prediction model including data assimilation method was improved to estimate the appropriate sea surface drag coefficient in high speed wind. In the present study, the accuracy of the estimated coefficients was evaluated for several observation stations that changes the distance from the strong wind area. As a result, it was clarified to be able to deduce drag coefficient if waves were propagated from strong wind region even if the strong wind had not been generated in the observation station.

Original language	English
Title of host publication	Proceedings of the 21st (2011) International Offshore and Polar Engineering Conference, ISOPE-2011
Pages	428-433
Number of pages	6
Publication status	Published - Sep 19 2011
Event	21st International Offshore and Polar Engineering Conference, ISOPE-2011 - Maui, HI, United States Duration: Jun 19 2011 → Jun 24 2011

Other

Other	21st International Offshore and Polar Engineering Conference, ISOPE-2011
Country	United States
City	Maui, HI
Period	6/19/11 → 6/24/11

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Ocean Engineering
Mechanical Engineering

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Yokota, M, Hashimoto, N & Tanaka, Y 2011, Inverse estimation of sea surface drag coefficient based on waves observed away from strong wind region. in Proceedings of the 21st (2011) International Offshore and Polar Engineering Conference, ISOPE-2011. pp. 428-433, 21st International Offshore and Polar Engineering Conference, ISOPE-2011, Maui, HI, United States, 6/19/11.

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abstract = "A wave prediction model including data assimilation method was improved to estimate the appropriate sea surface drag coefficient in high speed wind. In the present study, the accuracy of the estimated coefficients was evaluated for several observation stations that changes the distance from the strong wind area. As a result, it was clarified to be able to deduce drag coefficient if waves were propagated from strong wind region even if the strong wind had not been generated in the observation station.",

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AU - Yokota, Masaki

AU - Hashimoto, Noriaki

AU - Tanaka, Yuta

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Y1 - 2011/9/19

N2 - A wave prediction model including data assimilation method was improved to estimate the appropriate sea surface drag coefficient in high speed wind. In the present study, the accuracy of the estimated coefficients was evaluated for several observation stations that changes the distance from the strong wind area. As a result, it was clarified to be able to deduce drag coefficient if waves were propagated from strong wind region even if the strong wind had not been generated in the observation station.

AB - A wave prediction model including data assimilation method was improved to estimate the appropriate sea surface drag coefficient in high speed wind. In the present study, the accuracy of the estimated coefficients was evaluated for several observation stations that changes the distance from the strong wind area. As a result, it was clarified to be able to deduce drag coefficient if waves were propagated from strong wind region even if the strong wind had not been generated in the observation station.

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