Browse > Article
http://dx.doi.org/10.7780/kjrs.2014.30.1.8

Cloud-cell Tracking Analysis using Satellite Image of Extreme Heavy Snowfall in the Yeongdong Region  

Cho, Young-Jun (Forecast Research Laboratory, National Institute of Meteorological Research, KMA, Department of Atmospheric Sciences, Yonsei University)
Kwon, Tae-Yong (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University)
Publication Information
Korean Journal of Remote Sensing / v.30, no.1, 2014 , pp. 83-107 More about this Journal
Abstract
This study presents spatial characteristics of cloud using satellite image in the extreme heavy snowfall of the Yeongdong region. 3 extreme heavy snowfall events in the Yeongdong region during the recent 12 years (2001 ~ 2012) are selected for which the fresh snow cover exceed 50 cm/day. Spatial characteristics (minimum brightness temperature; Tmin, cloud size, center of cloud-cell) of cloud are analyzed by tracking main cloud-cell related with these events. These characteristics are compared with radar precipitation in the Yeongdong region to investigate relationship between cloud and precipitation. The results are summarized as follows, selected extreme heavy snowfall events are associated with the isolated, well-developed, and small-scale convective cloud which is developing over the Yeongdong region or moving from over East Korea Bay to the Yeongdong region. During the period of main precipitation, cloud-cell Tmin is low ($-40{\sim}-50^{\circ}C$) and cloud area is small (17,000 ~ 40,000 $km^2$). Precipitation area (${\geq}$ 0.5 mm/hr) from radar also shows small and isolated shape (4,000 ~ 8,000 $km^2$). The locations of the cloud and precipitation are similar, but in there centers are located closely to the coast of the Yeongdong region. In all events the extreme heavy snowfall occur in the period a developed cloud-cell was moving into the coastal waters of the Yeongdong. However, it was found that developing stage of cloud and precipitation are not well matched each other in one of 3 events. Water vapor image shows that cloud-cell is developed on the northern edge of the dry(dark) region. Therefore, at the result analyzed from cloud and precipitation, selected extreme heavy snowfall events are associated with small-scale secondary cyclone or vortex, not explosive polar low. Detection and tracking small-scale cloud-cell in the real-time forecasting of the Yeongdong extreme heavy snowfall is important.
Keywords
Yeongdong extreme heavy snowfall; Cloud-cell Tracking; East Korea Bay;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Ahn, B.-Y., T.-Y. Kwon, K.-H. Cho, J.-S. Lee, and K.- T. Lee, 2007. Analysis of cloud properties related to Yeongdong heavy snow using the MODIS cloud product, The Korean Journal of Remote Sensing, 23(2): 71-87 (in Korean with English abstract).   과학기술학회마을   DOI
2 Ahn, J.-B. and C.-H. Jeong, 1984. The limited area energy budget associated with an extratropical cyclone developed over the Japan Sea, Journal of Korean Meteorological Society, 20(2): 22-34 (in Korean with English abstract).
3 Asai, T., 1988. Meso-scale features of heavy snowfalls in Japan Sea coastal regions of Japan, Tenki, 35: 156-161 (in Japanese with English abstract).
4 Beckman, S.K., 1987. Operational use of water vapor imagery, NOAA Tech. Memo. NWS CR-87, NOAA/NWS, Kansas City, MO, USA, pp.15.
5 Evans, M.S., D. Keyser, L.F. Bosart, and G.L. Lackmann, 1994. A satellite-derived classification scheme for rapid maritime cyclogenesis, Monthly Weather Review, 122: 1381-1416.   DOI
6 Ford, R.P. and GW.K. Moore, 1990. Secondary cyclogenesis-Comparison of observation and theory, Monthly Weather Review, 118: 427-446.   DOI
7 Gurka, J.J., E.P. Auciello, A.F. Gigi, J.S. Waldstreicher, K.K. Keeter, S. Businger, and L.G. Lee, 1995. Winter weather forecasting throughout the Eastern United States. Part II: An operational perspective of cyclogenesis, Weather and Forecasting, 10: 21-41.   DOI
8 Heo, K.-Y., K.-J. Ha, and S.-H. Shin, 2005. On development mechanism of heavy snowfall event occurred in Busan on 5 March 2005, Journal of Korean Meteorological Society, 41(4): 547-556 (in Korean with English abstract).   과학기술학회마을
9 Kim, I.-H., T.-Y. Kwon, and D.-R. Kim, 2012. MTSAT Satellite image features on the severe storm events in Yeongdong region, Atmosphere, 22(1): 29-45 (in Korean with English abstract).   DOI   ScienceOn
10 Lee, H.-R., K.-E. Kim, J.-M. Yoo, and W.-J. Lee, 2002. Tropopause undulation associated with explosive development of a cyclone, Journal of Korean Meteorological Society, 38(5): 431-463 (in Korean with English abstract).   과학기술학회마을
11 Kwon, T.-Y., D.-H. Seo, and Y.-J. Cho, 2013. Synoptic Environment Associated with Extreme Heavy Snowfall Events in the Yeongdong Region, Proc. of The 3rd Workshop for Forecast Technique Fusion Research, Gangneung, Gangwon, Aug. 29-30, pp. 209-217 (in Korean).
12 Lee, J.-G., T.-Y. Kwon, I.-U. Jeong, and B.-G. Kim, 2011. Development of the techniques for analyzing of severe weather meteorological variables in the Gangwon region I, National Institute of Meteorological Research, Seoul, South Korea: pp.802.
13 Lee, H.-R., K.-I. Kim, J.-M. Yoo, and K.-D. Min, 2001. A study on a severe winter weather occurred in the Korean Peninsula by tropopause undulation, Journal of Korean Meteorological Society, 37(2): 195-224 (in Korean with English abstract).   과학기술학회마을
14 Lee, T.-Y., Y.-Y. Park, and Y.-L. Lin, 1998. A numerical modeling study of mesoscale cyclogenesis to the East of the Korean peninsula, Monthly Weather Review, 126: 2305-2329.   DOI
15 Maddox, R.A., 1980. Meoscale Convective Complexes. Bulletin American Meteorological Society, 61: 1374-1387.   DOI
16 Mansfield, D.A., 1996. The use of potential vorticity as an operational forecast tool, Meteorological Applications, 3: 195-210.
17 Miller, J.E., 1946. Cyclogenesis in the Atlantic coastal region of the United States, Journal of Meteorology, 2: 31-44.
18 Reed, R.J. and C.N. Duncan, 1987. Baroclinic instability as a mechanism for the serial development of polar lows: a case study, Tellus, 39A: 376-384.   DOI
19 Nagata, M., 1993. Meso-${\beta}$-scale vortices developing along the Japan-Sea Polar-Airmass Convergence Zone (JPCZ) cloud band: Numerical simulation, Journal of the Meteorological Society of Japan, 71(1): 43-57.   DOI
20 Rinehart, R.E., 2001. Radar for Meteorologists, 3rd ed., Rinehart, pp.428.
21 Young, M.V., G.A. Monk, and K.A. Browning, 1987. Interpretation of satellite imagery of a deepening cyclone, Quarterly Journal of the Royal Meteorological Society, 113: 1089-1115.   DOI
22 Weldon, R.B., 1985. Conclusion and generalization: Water vapor image gray shades vs. moisture distribution, Satellite Applications Laboratory, NOAA/NESDIS, World Weather Building, Washington, DC 20233, USA: pp.6.
23 Chung, Y.-S., K.D. Hage, and E.R. Reinelt, 1976. On lee cyclogenesis and airflow in the Canadian Rocky Mountains and the East Asian Mountains, Monthly Weather Review, 104: 879-891.   DOI
24 Bleck, R., 1977. Numerical simulation of lee cyclogenesis in the Gulf of Genoa, Monthly Weather Review, 105: 428-445.   DOI
25 Marshall, J.S. and W.M.K. Palmer, 1948. The distribution of raindrops with size, Journal of Meteorology, 5: 165-166.   DOI