|
|
|
|
|
Yuting Jin, Shuguang Liu, Zhengzheng Zhou, Qi Zhuang and Min Liu
Given the fact that the high frequency of extreme weather events globally, in particular typhoons, has more of an influence on flood forecasting, there is a great need to further understand the impact of typhoon events on design storms. The main objectiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
You-Da Jhong, Chang-Shian Chen, Hsin-Ping Lin and Shien-Tsung Chen
This study proposed a hybrid neural network model that combines a self-organizing map (SOM) and back-propagation neural networks (BPNNs) to model the rainfall-runoff process in a physically interpretable manner and to accurately forecast typhoon floods. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ming-Chang Wu, Jing-Shan Hong, Ling-Feng Hsiao, Li-Huan Hsu and Chieh-Ju Wang
Typhoon rainfall is one of the most important water resources in Taiwan. However, heavy rainfall during typhoons often leads to serious disasters. Therefore, accurate typhoon rainfall forecasts are always desired for water resources managers and disaster...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nan-Ching Yeh, Chung-Chih Liu and Wann-Jin Chen
This study quantitatively estimated the precipitation associated with a typhoon in the northwestern Pacific Ocean by using a physical algorithm which included the Weather Research and Forecasting model, Radiative Transfer for TIROS Operational Vertical S...
ver más
|
|
|
|
|
|