Spectral Wave Data Assimilation in SWAN Wave Model
博士 === 國立成功大學 === 水利及海洋工程學系碩博士班 === 96 === The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. Traditional forecast is consisting in: uses numerical wave model to do hindcast, and then adjusting the parameters by measured data. Use numerical wave...
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ndltd-TW-096NCKU50830102016-05-11T04:16:02Z http://ndltd.ncl.edu.tw/handle/86077357513156325939 Spectral Wave Data Assimilation in SWAN Wave Model 波譜資料同化應用於SWAN波浪模式 Yang-Ming Fan 范揚洺 博士 國立成功大學 水利及海洋工程學系碩博士班 96 The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. Traditional forecast is consisting in: uses numerical wave model to do hindcast, and then adjusting the parameters by measured data. Use numerical wave model to forecast wave after finding the best parameters. A technique – spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and to do wave forecast. Review past research, we find that the extreme parameters were produced at grid point in the distance of measured station by using data of wave height to do data assimilation. In order to make this research look forward to do operating numerical wave model, 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 satellites and 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. The spectral data is near real time, on the contrary, the satellite even near real time, but there is no advantageous in time domain. Therefore, this study discuss the difference between spectral data assimilation and satellite data assimilation. Beng-Chun Lee Chia Chuen Kao 李汴軍 高家俊 2008 學位論文 ; thesis 102 en_US |
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博士 === 國立成功大學 === 水利及海洋工程學系碩博士班 === 96 === The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. Traditional forecast is consisting in: uses numerical wave model to do hindcast, and then adjusting the parameters by measured data. Use numerical wave model to forecast wave after finding the best parameters. A technique – spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and to do wave forecast.
Review past research, we find that the extreme parameters were produced at grid point in the distance of measured station by using data of wave height to do data assimilation. In order to make this research look forward to do operating numerical wave model, 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 satellites and 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. The spectral data is near real time, on the contrary, the satellite even near real time, but there is no advantageous in time domain. Therefore, this study discuss the difference between spectral data assimilation and satellite data assimilation.
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Beng-Chun Lee |
author_facet |
Beng-Chun Lee Yang-Ming Fan 范揚洺 |
author |
Yang-Ming Fan 范揚洺 |
spellingShingle |
Yang-Ming Fan 范揚洺 Spectral Wave Data Assimilation in SWAN Wave Model |
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Yang-Ming Fan |
title |
Spectral Wave Data Assimilation in SWAN Wave Model |
title_short |
Spectral Wave Data Assimilation in SWAN Wave Model |
title_full |
Spectral Wave Data Assimilation in SWAN Wave Model |
title_fullStr |
Spectral Wave Data Assimilation in SWAN Wave Model |
title_full_unstemmed |
Spectral Wave Data Assimilation in SWAN Wave Model |
title_sort |
spectral wave data assimilation in swan wave model |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/86077357513156325939 |
work_keys_str_mv |
AT yangmingfan spectralwavedataassimilationinswanwavemodel AT fànyángmíng spectralwavedataassimilationinswanwavemodel AT yangmingfan bōpǔzīliàotónghuàyīngyòngyúswanbōlàngmóshì AT fànyángmíng bōpǔzīliàotónghuàyīngyòngyúswanbōlàngmóshì |
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