Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast
Joint Authors
Lin, Fu-Ru
Wu, Nan-Jing
Tsay, Ting-Kuei
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-21
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Based on the factors of meteorology and topography, it is assumed that there exist some certain patterns in spatial and temporal rainfall distribution of a watershed.
A typhoon rainfall forecasting model is developed under this assumption.
If rainfall patterns can be analyzed and recognized in terms of individual watershed topography, only the spatial rainfall distribution prior to a specific moment is needed to forecast the rainfall in the next coming hours.
It does not need any other condition in meteorology and climatology.
Besides, supplement techniques of missing rainfall gage data are also considered to build an all-purpose forecast model.
By integrating techniques of cluster analysis and pattern recognition, present proposed rainfall forecasting model is tested using historical data of Tamsui River Basin in Northern Taiwan.
Good performance is validated by checking on coefficient of correlation and coefficient of efficiency.
American Psychological Association (APA)
Lin, Fu-Ru& Wu, Nan-Jing& Tsay, Ting-Kuei. 2017. Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1122717
Modern Language Association (MLA)
Lin, Fu-Ru…[et al.]. Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast. Advances in Meteorology No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1122717
American Medical Association (AMA)
Lin, Fu-Ru& Wu, Nan-Jing& Tsay, Ting-Kuei. Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1122717
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122717