호우사례 분석을 위한 개념모델 구성에 위성영상과 위성자료의 활용 연구
Application of Images and Data of Satellite to a Conceptual Model for Heavy Rainfall Analysis
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초록
This study establishes a conceptual model to analyze heavy rainfall events in Korea using multi-functional transport satellite-1R satellite images. Three heavy rainfall episodes in two major synoptic types, such as synoptic low (SL) type and synoptic flow convergence (SC) type, are analyzed through a conceptual model procedure which proceeds on two steps: 1) conveyer belt model analysis to detect convective area, and 2) cloud top temperature analysis from black body temperature (TBB) data to distinguish convective cloud from stratiform cloud, and eventually estimate heavy rainfall area and intensity. Major synoptic patterns causing heavy rainfall are Changma, synoptic low approach, upper level low in the SL type, and upper level low, indirect effect of typhoon, convergence of tropical air in the SC type. The relationship between rainfall and TBBs in overall well resolved areas of heavy rainfall. The SC type tended to underestimate the intensity of heavy rainfall, but the analysis with the use of water vapor channel has improved the performance. The conceptual model improved a concrete utilization of images and data of satellite, as summarizing characteristics of major synoptic type causing heavy rainfall and composing an algorism to assess the area and intensity of heavy rainfall. The further assessment with various cases is required for the operational use.
Abstract
This study establishes a conceptual model to analyze heavy rainfall events in Korea using multi-functional transport satellite-1R satellite images. Three heavy rainfall episodes in two major synoptic types, such as synoptic low (SL) type and synoptic flow convergence (SC) type, are analyzed through a conceptual model procedure which proceeds on two steps: 1) conveyer belt model analysis to detect convective area, and 2) cloud top temperature analysis from black body temperature (TBB) data to distinguish convective cloud from stratiform cloud, and eventually estimate heavy rainfall area and intensity. Major synoptic patterns causing heavy rainfall are Changma, synoptic low approach, upper level low in the SL type, and upper level low, indirect effect of typhoon, convergence of tropical air in the SC type. The relationship between rainfall and TBBs in overall well resolved areas of heavy rainfall. The SC type tended to underestimate the intensity of heavy rainfall, but the analysis with the use of water vapor channel has improved the performance. The conceptual model improved a concrete utilization of images and data of satellite, as summarizing characteristics of major synoptic type causing heavy rainfall and composing an algorism to assess the area and intensity of heavy rainfall. The further assessment with various cases is required for the operational use.
참고문헌 (24)
- 나득균, "종관적 특징에 따른 남한 강수 특성 분석:30년 (1973-2002) 기후 통계", 한국지구과학회지, 26(7), pp.732~743 (2005), 한국지구과학회
- 박선기, "아시아 동안에서 북동진하며 발달하는 온대저기압의 종관적 특성", 한국기상학회지, 23(1), pp.1~25 (1987)
- 이동규, "아시아의 동안에서 급격히 발달하는 저기압의 수치 모의", 한국기상학회지, 27(1), pp.1~21 (1991)
- 윤홍주, "북태평양 고기압 연변의 강수 pattern에 관한 규명", 대기, 12(1), pp.58~61 (2002)
- 양진관, "호우 현상을 초래하는 태풍 전면 수렴대 분석", 대기, 11(3), pp.165~168 (2001)
- 장용환, "태풍이 일본 동쪽해상으로 진출할 때 하층 동풍기류의 유입에 의한 동해안지방의 호우 진단", 대기, 12(1), pp.384~387 (2002)
- Arkin, P.A., "The Relationship between Fractional Coverage of High Cloud and Rainfall Accumulations during GATE over the B-Scale Array", Mon. Wea. Rev., 107, pp.1382~1387 (1979)
- Browning, K. A., "Air Motion And Precipitation Growth at a Cold Front", Q.J.R. Meteorol .Soc., 96, pp.369~389 (1970)
- Browning, K. A., "Air motion and precipitation growth in frontal systems", PAGEOPH, 119, pp.577~593 (1981)
- Browning, K. A., "Conceptual models of precipitating systems", Meteorol. Mag., 114, pp.293~319 (1985)
- Browning, K. A., "Structure of a frontal cyclone", Q. J. R. Meteorol. Soc., 120, pp.1535~1557 (1994)
- Carlson, T. N., "Airflow through midlatitude cyclones and the comma cloud pattern", Mon. Wea. Rev., 108, pp.1498~1509 (1980)
- Ha, K.-J., "Spatial and temporal characteristics of precipitation using an extensive network of ground gauge in the Korean Peninsula", Atmospheric research, 86(3), pp.330~339 (2007)
- Harrold, T. W., "Mechanisms influencing the distribution of precipitation within baroclinic disturbances", Q. J. R. Meteorol. Soc., 99, pp.232~251 (1973)
- Inoue, T., "Features of clouds over the Tropical Pacific during the Northern Hemispheric winter derived from split window measurements", J. Meter. Soc. Japan, 67, pp.621~637 (1989)
- Tae-Young Lee, "Heavy Precipitation Systems over the Korean Peninsula and their Classification", 한국기상학회지, 43(4), pp.367~396 (2007), 한국기상학회
- Maddox, R.A., "Large-Scale Meteorological Conditions Associated with Midlatitude, Mesoscale Convective Complexes", Mon. Wea. Rev., 111, pp.1475~1493 (1983)
- Oh H.-J., "Validating infrared-based rainfall retrieval algorithms with 1-minute spatially dense raingauge measurements over the Korean peninsula", Meteor. Atmos. Physics, 81, pp.273~287 (2002)
- Reed, R. J., "An Adiabatic Simulation of the ERICA IOP 4 Storm: An Example of Quasi-Ideal Frontal Cyclone Development", Mon. Wea. Rev., 122, pp.2688~2708 (1994)
- Sun, J., "A numerical study of an intense quasi-stationary convection band over the Korean Peninsula", J. Meteor. Soc. Japan, 80(5), pp.1221~1245 (2002)
- Shin, C.-S., "Development mechanisms for the heavy rainfall of 6-7 August 2002 over the middle of the Korean peninsula", J. Meteor. Soc. Japan, 83(5), pp.683~709 (2005)
- Yang, Y., "meteorological conceptual modeling approach based on spatial data mining and knowledge discovery", Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence, pp.490~499 (2005)
- Young, M. V., "Interpretation of satellite imagery of a rapidly deepening cyclone", Q. J. R. Mefeorol. Soc., 113, pp.1089~1115 (1987)
- Ziv, B., "Analysis of conveyor belts in winter Medi- terranean cyclones", Theor. Appl. Climatol. (2009)