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논문 상세정보

최근 5년(2008~2012) 간 우리나라에 내린 봄비의 종관기상학적 특성

The Synoptic Meteorological Characteristics of Spring Rainfall in South Korea during 2008~2012

Abstract

Spring rainfall events were comprehensively analyzed based on the distribution of precipitation amount and the related synoptic weather between 2008~2012. Forty-eight cases are selected among the rain events of the entire country, and each distribution of the 24-hour accumulated precipitation amount is classified into three types: evenly distributed rain(Type 1), more rain in the southern area and south coast region (Type 2), and more rain in the central region (Type 3), respectively. Type 1 constitutes the largest part(35 cases, 72.9%) with mean precipitation amount of 19.4 mm, and the 17 cases of Type 1 are observed in March. Although Type B and C constitutes small parts (11 cases, 22.9% and 2 cases, 4.2%), respectively. The precipitation amount of these types is greater than 34.5 mm and occurred usually in April. The main synoptic weather patterns affecting precipitation distribution are classified into five patterns according to the pathway of low pressures. The most influential pattern is type 4, and this usually occurs in March, April, and May (Low pressures from the north and the ones from the west and south consecutively affect South Korea, 37.5%). The pattern 3(Low pressures from the south affect South Korea, 25%) happens mostly in April, and the average precipitation is usually greater than 30 mm. This value is relatively higher than the values in any other patterns.

참고문헌 (10)

  1. Byun, H. R., Kim, J. K., Choi, S. D., 1992, On the Water Vapor Circulation Associated with Spring Season Heavy Rainfalls over 100 mm, Atmosphere, 28(4),479-496. 
  2. Choi, K. S., Kim, B. J., Lee, J. Y., 2007, A Simple Regression Model for Predicting the TC Intensity Change after Landfall over the Korean Peninsu, Atmosphere, 17(2), 135-145. 
  3. Hwang, Y. J., Kim, Y. H., Chung, K. Y., Chang, D. E., 2012, Predictability for Heavy Rainfall over the Korean Peninsula during the Summer using TIGGE Model, Atmosphere, 22(3), 287-298. 
  4. IPCC, 2007, Climate Change 2007: The physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the international Panel on Climate Change, Cambridge university Press, Cambridge, United kingdom and New York, NY, USA. 
  5. Kim, B. J., Cho, C. H., Chung, H. S., Shin, S. H., 2005, A Study on the Intensity Change of Typhoon Nakri (0208) - Observation and GDAPS Data Analysis, Asia-Pacific J. Atmos. Sci., 41(5), 763-776. 
  6. Kim, K. H., Kim, Y. H., Chang, D. E., 2009, The Analysis of Changma Structure using Radiosonde Observational Data from KEOP-2007: Part I. the Assessment of the Radiosonde Data, Atmosphere, 19(2), 213-226. 
  7. Lee, J. B., Lee, D. K., 2011, Impact of Cumulus Parameterization Schemes with Different Horizontal Grid Sizes on Prediction of Heavy Rainfall, Atmosphere, 21(4), 391-404. 
  8. Lee, M. A., Byun, H. R., 2004, The synoptic characteristics in the time of spring drought relief, Proceedings of the Autumn Meeting of KMS 2004, 276-277. 
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이 논문을 인용한 문헌 (1)

  1. Park, So-Yeon ; Ryoo, Kyong-Sik ; Kim, Jung-Yun ; Kim, Baek-Jo 2014. "The Case Study of Economic Value Assessment of Spring Rainfall in the Aspect of Water Resources" Journal of environmental science international = 한국환경과학회지, 23(2): 193~205 

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