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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40198

Title: Retrievals for the rainfall rate over land using Special Sensor Microwave/Imager data during tropical cyclones: Comparisons of scattering index, regression, and support vector regression
Authors: Chih-Chiang Wei
Jinsheng Roan
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: Model evaluation/performance
Data mining
Microwave observations
Forecasting techniques
Model comparison
Date: 2012-10
Issue Date: 2017-01-16T03:54:45Z
Publisher: Journal of Hydrometeorology
Abstract: Abstract: Tropical cyclones, also known as typhoons or hurricanes, are among the most devastating events in nature and often strike the western North Pacific region (including the Philippines, Taiwan, Japan, Korea, China, and others). This paper focuses on addressing the rainfall retrieval problem for quantitative precipitation forecast during tropical cyclones. In this study, Special Sensor Microwave Imager (SSM/I) data and Water Resources Agency (WRA) measurements of Taiwan were used to quantitatively estimate precipitation over the Tanshui River basin in northern Taiwan. Various retrievals for the rainfall rate over land are compared by five methods/techniques. They are the single-channel regression, multichannel linear regressions (MLR), scattering index over land approach (SIL), support vector regression (SVR), and the proposed SIL–SVR. This study collected 70 typhoons affecting the studied watershed over the past 12 years (1997–2008). The measurements of the SSM/I satellite comprise the brightness temperatures at 19.35, 22.23, 37.0, and 85.5 GHz. Overall, the results showed the approaches using the SVR and conjoined SVR and SIL performed better than regression and SIL methods according to their performances of the root-mean-square error (RMSE), bias ratio, and equitable threat score (ETS).
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40198
Appears in Collections:[海洋環境資訊系] 期刊論文

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