Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area

碩士 === 中正理工學院 === 應用物理學系研究所 === 86 === Due to the lack of rain gauge data on ocean, satellite data are the only measurement to rainfall. Because microwave can penetrate clouds, it possesses more direct measurement to rainfall than visible and infrared data and can be used to estimate rain...

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Main Author: 趙俊傑
Other Authors: 陳萬金
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/52136825943960644694
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spelling ndltd-TW-086CCIT05040022016-01-22T04:17:29Z http://ndltd.ncl.edu.tw/handle/52136825943960644694 Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area MSU微波頻道在台灣地區定量降水之研究 趙俊傑 碩士 中正理工學院 應用物理學系研究所 86 Due to the lack of rain gauge data on ocean, satellite data are the only measurement to rainfall. Because microwave can penetrate clouds, it possesses more direct measurement to rainfall than visible and infrared data and can be used to estimate rainfall more accurate than the others. Currently, there are three microwave radiometers for rainfall estimate, i.e. Microwave Sounding Unit (MSU), Special Sensor Microwave Imager (SSM/I) and TRMM (Tropical Rainfall Measurement Mission) Microwave Imager (TMI). Because only MSU data are available on the current operational routine, the rainfall estimation is derived by MSU data only. The variation of the brightness temperatures of MSU channel 1 (Tb 1) was found to have a significant relationship with precipitation. Therefore, in this study rainfall was retrieved by MSU Tb1. But before MSU Tb1 was used to derive rainfall, it should be corrected by removing the atmospheric effect. Usually, the atmospheric effect can be calculated by the brightness temperatures of MSU channels 2(Tb 2) and 3(Tb 3). In order to improve the poor resolution of retrieval rainfall, Geostationary Meteorological Satellite 5(GMS-5) data were used at the same time. Therefore mesoscale rainfall estimation can be obtained from MSU and GMS-5 data fusion. The rain gauge measurement was used for comparison. It is shown that there is a same pattern at heavy rainfall situation. Advance Microwave Sounding Unit (AMSU) on board the NOAA-K will be the fourth microwave radiometer for rainfall estimation. Because AMSU has more channels ( 20 channels ) and fine resolutions ( 50km at nadir for AMSU-A, 15km at nadir for AMSU-B ) than MSU, So it is expected to improve the accuracy of rainfall estimate in the near future. 陳萬金 1998 學位論文 ; thesis 67 zh-TW
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description 碩士 === 中正理工學院 === 應用物理學系研究所 === 86 === Due to the lack of rain gauge data on ocean, satellite data are the only measurement to rainfall. Because microwave can penetrate clouds, it possesses more direct measurement to rainfall than visible and infrared data and can be used to estimate rainfall more accurate than the others. Currently, there are three microwave radiometers for rainfall estimate, i.e. Microwave Sounding Unit (MSU), Special Sensor Microwave Imager (SSM/I) and TRMM (Tropical Rainfall Measurement Mission) Microwave Imager (TMI). Because only MSU data are available on the current operational routine, the rainfall estimation is derived by MSU data only. The variation of the brightness temperatures of MSU channel 1 (Tb 1) was found to have a significant relationship with precipitation. Therefore, in this study rainfall was retrieved by MSU Tb1. But before MSU Tb1 was used to derive rainfall, it should be corrected by removing the atmospheric effect. Usually, the atmospheric effect can be calculated by the brightness temperatures of MSU channels 2(Tb 2) and 3(Tb 3). In order to improve the poor resolution of retrieval rainfall, Geostationary Meteorological Satellite 5(GMS-5) data were used at the same time. Therefore mesoscale rainfall estimation can be obtained from MSU and GMS-5 data fusion. The rain gauge measurement was used for comparison. It is shown that there is a same pattern at heavy rainfall situation. Advance Microwave Sounding Unit (AMSU) on board the NOAA-K will be the fourth microwave radiometer for rainfall estimation. Because AMSU has more channels ( 20 channels ) and fine resolutions ( 50km at nadir for AMSU-A, 15km at nadir for AMSU-B ) than MSU, So it is expected to improve the accuracy of rainfall estimate in the near future.
author2 陳萬金
author_facet 陳萬金
趙俊傑
author 趙俊傑
spellingShingle 趙俊傑
Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area
author_sort 趙俊傑
title Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area
title_short Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area
title_full Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area
title_fullStr Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area
title_full_unstemmed Using MSU for Quantitatively Rainfall Estimate around TAIWAN Area
title_sort using msu for quantitatively rainfall estimate around taiwan area
publishDate 1998
url http://ndltd.ncl.edu.tw/handle/52136825943960644694
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