Change-Point Analysis of Tropical Night Occurrences for Five Major Cities in Republic of Korea
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Bayesian change-point analysis is applied to detect a change-point in the occurrences of tropical night (TN) days in the 50-year time series data for five major cities in Republic of Korea.
A TN day is simply defined as a day when the daily minimum temperature is greater than 25∘C.
A Bayesian analysis is performed for detecting a change-point at an unknown time point in the TN day frequency time series, which is modeled by an independent Poisson random variable.
The results showed that a single change occurred around 1993 for three cities (Seoul, Incheon, and Daegu).
However, when we excluded the extraordinary year, 1994, a single change occurred around 1993 only in Seoul and Daegu.
The average number of TN days in Seoul and Daegu increased significantly, by more than 150%, after the change-point year.
The abrupt increase in TN day frequency in two cities over Republic of Korea around 1993 may be related to the significant decadal change in the East Asian summer monsoon around the mid 1990s and to rapid urbanization.
American Psychological Association (APA)
Suh, Myoung-Seok& Kim, Chansoo. 2015. Change-Point Analysis of Tropical Night Occurrences for Five Major Cities in Republic of Korea. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1052825
Modern Language Association (MLA)
Suh, Myoung-Seok& Kim, Chansoo. Change-Point Analysis of Tropical Night Occurrences for Five Major Cities in Republic of Korea. Advances in Meteorology No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1052825
American Medical Association (AMA)
Suh, Myoung-Seok& Kim, Chansoo. Change-Point Analysis of Tropical Night Occurrences for Five Major Cities in Republic of Korea. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1052825
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052825