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碩士 === 國立中央大學 === 大氣物理研究所 === 94 === In this study, the Weather Research and Forecasting (WRF) Model with three-dimensional data assimilation (3DVAR) is utilized to investigate influences of GPS occultation refractivity on simulations of typhoons past Taiwan. Two recent cases were simulated, includi...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5y8u3x |
| Summary: | 碩士 === 國立中央大學 === 大氣物理研究所 === 94 === In this study, the Weather Research and Forecasting (WRF) Model with three-dimensional data assimilation (3DVAR) is utilized to investigate influences of GPS occultation refractivity on simulations of typhoons past Taiwan. Two recent cases were simulated, including Typhoon Mindulle in June 2004 and Typhoon Haitang in July 2005. The GPS observation data are taken from CHAMP satellites that provide several retrieved refractivity profiles in the simulated domain near the initialization time and cycling time. As compare to the impacts between the simulated results with and without GPS occultation refractivity assimilation, we choose several experiments to examine the impacts of GPS refractivity. The results of model simulated indicated the GPS data have benefit in terms of the water vapor.
Although GPS data can provide useful information on the thermodynamic variables, they lack the ability to measure wind. Wind information may play a dominant role in an assimilated vortex through geostrophic adjustment of the pressure field to the ingested wind field in low latitudes. So, we ingest observed NASA Quick Scatterometer (QuikSCAT) near-surface wind data into the model. The result displays the further improved in the accumulated rainfall.
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