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Advanced Taiwan Ocean Prediction System

Tseng, Tsu-Lun - ALL News | 2019-04-15 | Count:28



Study on combined WRF model with deep learning for wind speed simulation during typhoons


A scheme for wind-speed forecasting during typhoons in Taiwan is highly desirable, considering the effects of the powerful winds accompanying the severe typhoons. The developed combination of a weather-forecasting numerical model with deep learning (DL) algorithms can be used to determine wind speed in real-time forecasting. The Weather Research and Forecasting (WRF) numerical model was employed as the numerical simulation-based model for precomputing numerical solutions to determine the wind velocity at arbitrary positions where the wind cannot be measured. The deep neural network (DNN) was used for constructing the DL-based wind-velocity simulation model. The experimental area of Northern Taiwan was used for the simulation.


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