DOI QR코드

DOI QR Code

A Study on the Radar Reflectivity-Snowfall Rate Relation for Yeongdong Heavy Snowfall Events

영동 대설사례의 레이더 강설강도 추정 관계식에 관한 연구

  • Jung, Sueng-Pil (High-impact Weather Research Center, Observational Research Division, National Institute of Meteorological Sciences) ;
  • Kwon, Tae-Yong (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University) ;
  • Park, Jun-Young (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University) ;
  • Choi, Byoung-Choel (High-impact Weather Research Center, Observational Research Division, National Institute of Meteorological Sciences)
  • 정승필 (국립기상과학원 관측기반연구과 재해기상연구센터) ;
  • 권태영 (강릉원주대학교 대기환경과학과) ;
  • 박준영 (강릉원주대학교 대기환경과학과) ;
  • 최병철 (국립기상과학원 관측기반연구과 재해기상연구센터)
  • Received : 2016.06.16
  • Accepted : 2016.10.13
  • Published : 2016.12.31

Abstract

Heavy snowfall events have occurred frequently in the Yeongdong region but understanding of these events have trouble in lack of snowfall observation in this region because it is composed of complex topography like the "Taebaek mountains" and the "East sea". These problems can be solved by quantitative precipitation estimation technique using remote sensing such as radar, satellite, etc. Two radars which are able to cover over Yeondong region were installed at Gangneung (GNG) and Gwangdeoksan (GDK). This study uses radar and water equivalent of snow cover to investigate the characteristics of radar echoes and the $Z_e-R$ relations associated with the 10 Yeongdong heavy snowfall events during the last 5 years (2010~2014). It was found that the heights which the probability of detection (POD) of snow detection by GNG radar is more than 80% are 3,000 m and 1,500 m in convective cloud and stratiform cloud, respectively. The vertical gradient of radar reflectivity is less decreased in convective cloud than stratiform cloud. However, POD by GDK radar are lower than 80% at all layers because the majority of Yeondong observational stations are more than 100 km away from GDK radar site. Furthermore, we examined $Z_e-R$ relation from the 10 events using GNG radar and compared the "a" and "b" obtained from these examinations at Sokcho (SC) and Daegwallyeong (DG). These "a" and "b" are estimated from radar echo at 500 m (SC) and 1,500 m (DG). The values of "a" differ in their stations such as SC and DG are 30~116 and 6~39, respectively. But "b" is 0.4~1.7 irrespective of stations. Moreover, the value of "a" increased with surface air temperature. Therefore, quantitative precipitation estimation in heavy snowfall events by radar echo using fixed "a" and "b" is difficult because these values changed according to those precipitation characteristics.

Keywords

References

  1. Brown, R. A., V. T. Wood, and T. W. Barker, 2002: Improved detection using negative elevation angles for mountaintop WSR-88Ds: Simulation of KMSX near Missoula, Montana. Wea. Forecasing, 17, 223-237. https://doi.org/10.1175/1520-0434(2002)017<0223:IDUNEA>2.0.CO;2
  2. Cho, Y.-H., G.-W. Lee, S.-H. Jung, H.-M. Park, J.-Y. Jung, Y.-A. Oh, G.-D. Ahn, and K.-H. Jang, 2009: Characteristics of microphysical process in snowfall case in Yeongdong region. Proc., the Autumn meeting of Korea Meteor. Soc., 10, Daegu, 162-163.
  3. Cho, Y.-J., and T.-Y. Kwon, 2014: Cloud-cell tracking analysis using satellite image of extreme heavy snowfall in the Yeongdong region. Korean J. Remote Sens., 30, 83-107 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2014.30.1.8
  4. Cooper, W. A., 1986: Ice initiation in natural clouds. In R. R. Braham Jr. Eds., Precipitation Enhancement: A Scientific Challenge. American Meteorological Society, 29-32.
  5. Fujiyoshi, Y., T. Endoh, T. Yamada, K. Tsuboki, Y. Tachibana, and G. Wakahama, 1990: Determination of a ZR relationship for snowfall using a radar and high sensitivity snow gauges. J. Appl. Meteor. Climatol., 29, 147-152. https://doi.org/10.1175/1520-0450(1990)029<0147:DOARFS>2.0.CO;2
  6. Imai, J., 1960: Raindrop size distributions and the Z-R relationship. Proc. Eighth Weather Radar Conf., Boston, MA, Amer. Meteor. Soc., 321-326.
  7. Kim, B.-W., Y.-J. Bang, and S.-H. Cho, 2002: Correlation between snowfall amount and Radar echo: about Westerly. Atmosphere, 12, 126-129 (in Korean).
  8. Kwon, T.-Y., J.-Y. Park, B.-C. Choi, and S.-O. Han, 2015:Satellite image analysis of low-level stratiform cloud related with the heavy snowfall events in the Yeongdong region. Atmosphere, 25, 577-589 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2015.25.4.577
  9. Marshall, J. S., and K. L. S. Gunn, 1952: Measurement of snow parameters by radar. J. Meteor., 9, 322-327. https://doi.org/10.1175/1520-0469(1952)009<0322:MOSPBR>2.0.CO;2
  10. Meyers, M. P., P. J. DeMott, and W. R. Cotton, 1992: New primary ice-nucleation parameterizations in an explicit cloud model. J. Appl. Meteor., 31, 708-721. https://doi.org/10.1175/1520-0450(1992)031<0708:NPINPI>2.0.CO;2
  11. National Institute of Meteorological Sciences, 2014a:Research for radar snowfall rate estimation and new technologies of next generation radar. 105 pp (in Korean).
  12. National Institute of Meteorological Sciences, 2014b: Establishment and operation of high impact weather research center (IV). 623 pp (in Korean).
  13. Park, S., H.-A. Kim, J. W. Cha, J.-S. Park, and H.-Y. Han, 2014: Analysis of quality control technique characteristics on single polarization radar data. Atmosphere, 24, 77-87 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2014.24.1.077
  14. Puhakka, T., 1975: On the dependence of the Z-R relation on the temperature in snowfall. Preprints, 16th Conf. on Radar Meteorology, Houston, TX, Amer. Meteor. Soc., 504-507.
  15. Rasmussen, R., M. Dixon, S. Vasiloff, F. Hage, S. Knight, J. Vivekanandan, and M. Xu, 2003: Snow nowcasting using a real-time correlation of radar reflectivity with snow gauge accumulation. J. Appl. Meteor., 42, 20-36. https://doi.org/10.1175/1520-0450(2003)042<0020:SNUART>2.0.CO;2
  16. Sekhon, R. S., and R. C. Srivastava, 1970: Snow size spectra and radar reflectivity. J. Atmos. Sci., 27, 299-307. https://doi.org/10.1175/1520-0469(1970)027<0299:SSSARR>2.0.CO;2
  17. Wetzel, M., and Coauthors, 2004: Mesoscale snowfall prediction and verification in mountainous terrain. Wea. Forecasting, 19, 806-828. https://doi.org/10.1175/1520-0434(2004)019<0806:MSPAVI>2.0.CO;2
  18. Wolfe, J. P., and J. R. Snider, 2012: A relationship between reflectivity and snow rate for high-altitude S-band radar. J. Appl. Meteor. Climatol., 51, 1111-1128. https://doi.org/10.1175/JAMC-D-11-0112.1
  19. Wood, V. T., R. A. Brown, and S. V. Vasiloff, 2003: Improved detection using negative elevation angles for mountaintop WSR-88Ds. Part II: Simulations of the three radars covering Utah. Wea. Forecasting, 18, 393-403. https://doi.org/10.1175/1520-0434(2003)18<393:IDUNEA>2.0.CO;2