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Algorithm Development for the Optimum Rainfall Estimation Using Polarimetric Variables in Korea
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In this study, to get an optimum rainfall estimation using polarimetric variables observed from Bislsan radar which is the first polarimetric radar in Korea, rainfall cases for 84 hours caused by different conditions, which are Changma front and typhoon, Changma front only, and typhoon only, occurred in 2011, were analyzed.
And rainfall algorithms were developed by using long period drop size distributions with six different raindrop axis ratio relations.
The combination of the relations between R and Z, ZDR, R and KDP, ZDR, and R and KDP with different rainfall intensity would be an optimum rainfall algorithm if the reference of rainfall would be defined correctly.
In the case the reference is not defined adequately, the relation between R and Z, ZDR, KDP, AH and R and Z, KDP, AH can be used as a representative rainfall relation.
Particularly if the qualified ZDR is not available, the relation between R and Z, KDP, AH can be used as an optimum rainfall relation in Korea.
American Psychological Association (APA)
You, Cheol-Hwan& Lee, Dong-In. 2015. Algorithm Development for the Optimum Rainfall Estimation Using Polarimetric Variables in Korea. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1052718
Modern Language Association (MLA)
You, Cheol-Hwan& Lee, Dong-In. Algorithm Development for the Optimum Rainfall Estimation Using Polarimetric Variables in Korea. Advances in Meteorology No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1052718
American Medical Association (AMA)
You, Cheol-Hwan& Lee, Dong-In. Algorithm Development for the Optimum Rainfall Estimation Using Polarimetric Variables in Korea. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1052718
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052718