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Proceedings Paper

Applying satellite remote sensing technique in disastrous rainfall systems around Taiwan
Author(s): Gin-Rong Liu; Kwan-Ru Chen; Tsung-Hua Kuo; Chian-Yi Liu; Tang-Huang Lin; Liang-De Chen
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Paper Abstract

Many people in Asia regions have been suffering from disastrous rainfalls year by year. The rainfall from typhoons or tropical cyclones (TCs) is one of their key water supply sources, but from another perspective such TCs may also bring forth unexpected heavy rainfall, thereby causing flash floods, mudslides or other disasters. So far we cannot stop or change a TC route or intensity via present techniques. Instead, however we could significantly mitigate the possible heavy casualties and economic losses if we can earlier know a TC’s formation and can estimate its rainfall amount and distribution more accurate before its landfalling. In light of these problems, this short article presents methods to detect a TC’s formation as earlier and to delineate its rainfall potential pattern more accurate in advance. For this first part, the satellite-retrieved air-sea parameters are obtained and used to estimate the thermal and dynamic energy fields and variation over open oceans to delineate the high-possibility typhoon occurring ocean areas and cloud clusters. For the second part, an improved tropical rainfall potential (TRaP) model is proposed with better assumptions then the original TRaP for TC rainfall band rotations, rainfall amount estimation, and topographic effect correction, to obtain more accurate TC rainfall distributions, especially for hilly and mountainous areas, such as Taiwan.

Paper Details

Date Published: 5 May 2016
PDF: 6 pages
Proc. SPIE 9876, Remote Sensing of the Atmosphere, Clouds, and Precipitation VI, 98760B (5 May 2016); doi: 10.1117/12.2229214
Show Author Affiliations
Gin-Rong Liu, National Central Univ. (Taiwan)
Kwan-Ru Chen, National Central Univ. (Taiwan)
Tsung-Hua Kuo, National Central Univ. (Taiwan)
Chian-Yi Liu, National Central Univ. (Taiwan)
Tang-Huang Lin, National Central Univ. (Taiwan)
Liang-De Chen, National Central Univ. (Taiwan)

Published in SPIE Proceedings Vol. 9876:
Remote Sensing of the Atmosphere, Clouds, and Precipitation VI
Eastwood Im; Raj Kumar; Song Yang, Editor(s)

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