Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea.
Moreover, a new algorithm applying the constructed heavy-rain pattern networks to very-short-term heavy-rain prediction was developed, and significant prediction results could be obtained.
American Psychological Association (APA)
Kim, Yong-Hyuk& Yoon, Yourim. 2015. Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095450
Modern Language Association (MLA)
Kim, Yong-Hyuk& Yoon, Yourim. Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction. Advances in Meteorology No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1095450
American Medical Association (AMA)
Kim, Yong-Hyuk& Yoon, Yourim. Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction. Advances in Meteorology. 2015. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095450
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095450