IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif
spacer.gif eLibrary
spacer.gif eLibrary
You are here : eLibrary : IAHR World Congress Proceedings : 34th Congress - Brisbane (2011) : THEME 7: Hydroinformatics : Estimation of typhoon maximum potential intensity using artificial neural network
Estimation of typhoon maximum potential intensity using artificial neural network
Author : P.K. Huang, G.F. Lin and H.Y. Lin
The estimation of tropical cyclone intensity is an important issue in hydrometeorology. However, there is virtually no improvement in the estimation of tropical cyclone intensity in last two decades. In this paper, based on the sea surface temperature and atmospheric factors, the back propagation network (BPN) is used to estimate the maximum potential intensity (MPI) of typhoons. Under the same conditions, a numerical model developed by Bister and Emanuel (1998) is also used to calculate the MPI. Finally, results of these two methods are compared with the observed maximum wind speeds of tropical cyclones. The results show that MPI calculated by BPN is better than that estimated by the model of Bister and Emanuel. In conclusion, the proposed technique is expected to be useful to estimate the maximum potential intensity of typhoons.
File Size : 285,541 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 34th Congress - Brisbane (2011)
Article : THEME 7: Hydroinformatics
Date Published : 01/07/2011
Download Now