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  1. National Taiwan Ocean University Research Hub
  2. 海洋科學與資源學院
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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/10911
Title: Surface Wind Nowcasting in the Penghu Islands Based on Classified Typhoon Tracks and the Effects of the Central Mountain Range of Taiwan
Authors: Chih-Chiang Wei 
Keywords: Forecasting;Model evaluation/performance;Neural networks;Wind effects
Issue Date: 1-Dec-2014
Journal Volume: 29
Journal Issue: 6
Start page/Pages: 1425–1450
Source: Weather and Forecasting
Abstract: 
The purposes of this study were to forecast the hourly typhoon wind velocity over the Penghu Islands, and to discuss the effects of the terrain of the Central Mountain Range (CMR) of Taiwan over the Penghu Islands based on typhoon tracks. On average, a destructive typhoon hits the Penghu Islands every 15–20 yr. As a typhoon approaches the Penghu Islands, its track and intensity are influenced by the CMR topography. Therefore, CMR complicates the wind forecast of the Penghu Islands. Six main typhoon tracks (classes I–VI) are classified based on typhoon directions, as follows: (I) the direction of direct westward movement across the CMR of Taiwan, (II) the direction of northward movement along the eastern coast of Taiwan, (III) the direction of northward movement traveling through Taiwan Strait, (IV) the direction of westward movement traveling through Luzon Strait, (V) the direction of westward movement traveling through the southern East China Sea (near northern Taiwan), and (VI) the irregular track direction. The adaptive network-based fuzzy inference system (ANFIS) and multilayer perceptron neural network (MLPNN) were used as the forecasting technique for predicting the wind velocity. A total of 49 typhoons from 2000 to 2012 were analyzed. Results showed that the ANFIS models provided high-reliability predictions for wind velocity, and the ANFIS achieved more favorable performance than did the MLPNN. In addition, a detailed discussion on the interaction of the CMR with the Penghu Islands based on various track directions is provided. For class I, the CMR is observed to have significantly influenced variations in wind speed when typhoons approached the Penghu Islands. In addition, the winds on the Penghu Islands were observed to have been influenced by the distance from the typhoon center to the Penghu Islands for all classes except class II.
URI: http://scholars.ntou.edu.tw/handle/123456789/10911
ISSN: 0882-8156
DOI: ://WOS:000346348800011
://WOS:000346348800011
10.1175/waf-d-14-00027.1
://WOS:000346348800011
://WOS:000346348800011
Appears in Collections:海洋環境資訊系

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