Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery
碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 93 === In this study, a feasible system must be built to realize a numerical model that can predict cumulative rainfall of Central Taiwan, by using GMS-5 geostationary meteorological satellite images and hourly rainfall data of some auto-recording rain gauges in Ce...
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ndltd-TW-093NTU054040402015-12-21T04:04:14Z http://ndltd.ncl.edu.tw/handle/39646297708215622177 Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery 氣象衛星影像應用於雨量即時預報系統之研發 Wei-Chun Hong 洪維均 碩士 國立臺灣大學 生物環境系統工程學研究所 93 In this study, a feasible system must be built to realize a numerical model that can predict cumulative rainfall of Central Taiwan, by using GMS-5 geostationary meteorological satellite images and hourly rainfall data of some auto-recording rain gauges in Central Taiwan. During the study, rainfall records were used to estimate from dotted data to grid data by Block Kriging Estimation that match the pixels in satellite images, and satellite images were processed to represent the cloud top temperature data (CTT). The kernel function, that means the spatial characteristic of Central Taiwan, was calculated by the grid rainfall data and processed cloud top temperature above using Spatial Convolution Integral. Let the kernel function seemed as the state variable in a time-variant system, Kalman Filtering Algorithm was proposed to forecast this system’s state variable of next time. Then the forecasting can be calculated by Spatial Convolution Integral Technique again to transform into predictions of rainfall. Besides the numerical model development, this study built a practical system that predict rainfall of Central Taiwan by the model. By using the Graphical User Interface (GUI), and updating data hourly, the system will give the predicted data directly. After using two historical typhoon events as trials, the system can predict the trend during whole rainfall events and warn the dangerous districts; but there are still a problem of time-lag makes some error predictions. Ke-Sheng Cheng 鄭克聲 2005 學位論文 ; thesis 70 zh-TW |
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碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 93 === In this study, a feasible system must be built to realize a numerical model that can predict cumulative rainfall of Central Taiwan, by using GMS-5 geostationary meteorological satellite images and hourly rainfall data of some auto-recording rain gauges in Central Taiwan. During the study, rainfall records were used to estimate from dotted data to grid data by Block Kriging Estimation that match the pixels in satellite images, and satellite images were processed to represent the cloud top temperature data (CTT). The kernel function, that means the spatial characteristic of Central Taiwan, was calculated by the grid rainfall data and processed cloud top temperature above using Spatial Convolution Integral. Let the kernel function seemed as the state variable in a time-variant system, Kalman Filtering Algorithm was proposed to forecast this system’s state variable of next time. Then the forecasting can be calculated by Spatial Convolution Integral Technique again to transform into predictions of rainfall. Besides the numerical model development, this study built a practical system that predict rainfall of Central Taiwan by the model. By using the Graphical User Interface (GUI), and updating data hourly, the system will give the predicted data directly.
After using two historical typhoon events as trials, the system can predict the trend during whole rainfall events and warn the dangerous districts; but there are still a problem of time-lag makes some error predictions.
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Ke-Sheng Cheng |
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Ke-Sheng Cheng Wei-Chun Hong 洪維均 |
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Wei-Chun Hong 洪維均 |
spellingShingle |
Wei-Chun Hong 洪維均 Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery |
author_sort |
Wei-Chun Hong |
title |
Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery |
title_short |
Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery |
title_full |
Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery |
title_fullStr |
Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery |
title_full_unstemmed |
Developing a Real-Time Rainfall Forecasting System Using Weather Satellite Imagery |
title_sort |
developing a real-time rainfall forecasting system using weather satellite imagery |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/39646297708215622177 |
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AT weichunhong developingarealtimerainfallforecastingsystemusingweathersatelliteimagery AT hóngwéijūn developingarealtimerainfallforecastingsystemusingweathersatelliteimagery AT weichunhong qìxiàngwèixīngyǐngxiàngyīngyòngyúyǔliàngjíshíyùbàoxìtǒngzhīyánfā AT hóngwéijūn qìxiàngwèixīngyǐngxiàngyīngyòngyúyǔliàngjíshíyùbàoxìtǒngzhīyánfā |
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