Numerical assimilation in nearshore spectral wave model

Yang Ming Fan, Kuo Ching Jao, Chia Chuen Kao, Dong-Jiing Doong, Li Chung Wu

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

Abstract

The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique - spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of partition from Voorrips, etc. is adopted and improved. And the analytic data is from data buoy. Expect to set up the technique of spectral data assimilation. And then discuss the result which using spectral data assimilation to typhoon numerical wave model in order to verify the accuracy of spectral data assimilation model and analyze the wave character Taiwan water.

Original languageEnglish
Title of host publicationMTS/IEEE Biloxi - Marine Technology for Our Future
Subtitle of host publicationGlobal and Local Challenges, OCEANS 2009
Publication statusPublished - 2009 Dec 1
EventMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 - Biloxi, MS, United States
Duration: 2009 Oct 262009 Oct 29

Publication series

NameMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009

Other

OtherMTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009
CountryUnited States
CityBiloxi, MS
Period09-10-2609-10-29

Fingerprint

Interpolation
Water

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Ocean Engineering

Cite this

Fan, Y. M., Jao, K. C., Kao, C. C., Doong, D-J., & Wu, L. C. (2009). Numerical assimilation in nearshore spectral wave model. In MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 [5422369] (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).
Fan, Yang Ming ; Jao, Kuo Ching ; Kao, Chia Chuen ; Doong, Dong-Jiing ; Wu, Li Chung. / Numerical assimilation in nearshore spectral wave model. MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).
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title = "Numerical assimilation in nearshore spectral wave model",
abstract = "The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique - spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of partition from Voorrips, etc. is adopted and improved. And the analytic data is from data buoy. Expect to set up the technique of spectral data assimilation. And then discuss the result which using spectral data assimilation to typhoon numerical wave model in order to verify the accuracy of spectral data assimilation model and analyze the wave character Taiwan water.",
author = "Fan, {Yang Ming} and Jao, {Kuo Ching} and Kao, {Chia Chuen} and Dong-Jiing Doong and Wu, {Li Chung}",
year = "2009",
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Fan, YM, Jao, KC, Kao, CC, Doong, D-J & Wu, LC 2009, Numerical assimilation in nearshore spectral wave model. in MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009., 5422369, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009, Biloxi, MS, United States, 09-10-26.

Numerical assimilation in nearshore spectral wave model. / Fan, Yang Ming; Jao, Kuo Ching; Kao, Chia Chuen; Doong, Dong-Jiing; Wu, Li Chung.

MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. 5422369 (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).

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

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N2 - The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique - spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of partition from Voorrips, etc. is adopted and improved. And the analytic data is from data buoy. Expect to set up the technique of spectral data assimilation. And then discuss the result which using spectral data assimilation to typhoon numerical wave model in order to verify the accuracy of spectral data assimilation model and analyze the wave character Taiwan water.

AB - The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique - spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of partition from Voorrips, etc. is adopted and improved. And the analytic data is from data buoy. Expect to set up the technique of spectral data assimilation. And then discuss the result which using spectral data assimilation to typhoon numerical wave model in order to verify the accuracy of spectral data assimilation model and analyze the wave character Taiwan water.

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Fan YM, Jao KC, Kao CC, Doong D-J, Wu LC. Numerical assimilation in nearshore spectral wave model. In MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. 5422369. (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).