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Advances in Meteorology
Volume 2017, Article ID 1927012, 12 pages
Research Article

Vertical Variation of Relationship at Hallasan Mountain during Typhoon Nakri in 2014

1School of Civil, Environmental and Architectural Engineering, College of Engineering, Korea University, Seoul 136-705, Republic of Korea
2Department of Civil, Environmental and Architectural Engineering, College of Engineering, Korea University, Seoul 136-713, Republic of Korea

Correspondence should be addressed to Jung Mo Ku; moc.etan@8681mjk

Received 19 January 2017; Revised 4 April 2017; Accepted 26 April 2017; Published 30 May 2017

Academic Editor: Roberto Fraile

Copyright © 2017 Chulsang Yoo and Jung Mo Ku. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Hallasan Mountain is located at the center of Jeju Island, Korea. Even though the height of the mountain is just 1,950 m, the orographic effect is strong enough to cause heavy rainfall. In this study, a rainfall event, due to Typhoon Nakri in 2014, observed in Jeju Island was analyzed fully using the radar and rain gauge data. First, the relationship was derived for every 250 m interval from the sea level to the mountain top. The resulting relationships showed that the exponent could be assumed as constant but that the parameter showed a significant decreasing trend up to an altitude around 1,000 m before it increased again. The orographic effect was found to be most significant at this altitude of 1,000 m. Second, the derived relationships were applied to the corresponding altitude radar reflectivity data to generate the rain rate field over Jeju Island. This rain rate field was then used to derive the areal-average rain rate data. These data were found to be very similar to the rain gauge estimates but were significantly different from those derived from the application of the Marshall-Palmer equation to the 1.5 km CAPPI data, which is the data type that is generally used by the Korea Meteorological Administration (KMA).