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Characteristics of Summer Season Precipitation Motion over Jeju Island Region Using Variational Echo Tracking

변분에코추적법을 이용한 제주도 지역 여름철 강수계의 이동 특성 분석

  • Kim, Kwonil (Dept. of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University) ;
  • Lee, Ho-Woo (Korea Air Force Weather Group) ;
  • Jung, Sung-Hwa (Weather Radar Center, Korea Meteorological Administration) ;
  • Lyu, Geunsu (Center for Atmospheric REmote sensing, Kyungpook National University) ;
  • Lee, GyuWon (Dept. of Astronomy and Atmospheric Sciences, Research and Training Team for Future Creative Astrophysicists and Cosmologists, Kyungpook National University)
  • 김권일 (경북대학교 천문대기과학과, 천체물리 및 우주론 분야 미래 창의 인재 양성팀) ;
  • 이호우 (공군기상단) ;
  • 정성화 (기상청 기상레이더센터) ;
  • 류근수 (경북대학교 대기원격탐사연구소) ;
  • 이규원 (경북대학교 천문대기과학과, 천체물리 및 우주론 분야 미래 창의 인재 양성팀)
  • Received : 2018.11.01
  • Accepted : 2018.12.24
  • Published : 2018.12.31

Abstract

Nowcasting algorithms using weather radar data are mostly based on extrapolating the radar echoes. We estimate the echo motion vectors that are used to extrapolate the echo properly. Therefore, understanding the general characteristics of these motion vectors is important to improve the performance of nowcasting. General characteristics of radar-based motions are analyzed for warm season precipitation over Jeju region. Three-year summer season data (June~August, 2011~2013) from two radars (GSN, SSP) in Jeju are used to obtain echo motion vectors that are retrieved by Variational Echo Tracking (VET) method which is widely used in nowcasting. The highest frequency occurs in precipitation motion toward east-northeast with the speed of $15{\sim}16m\;s^{-1}$ during the warm season. Precipitation system moves faster and eastward in June-July while it moves slower and northeastward in August. The maximum frequency of speed appears in $10{\sim}20m\;s^{-1}$ and $5{\sim}10m\;s^{-1}$ in June~July and August respectively while average speed is about $14{\sim}15m\;s^{-1}$ in June~July and $8m\;s^{-1}$ in August. In addition, the direction of precipitation motion is highly variable in time in August. The speed of motion in Lee side of the island is smaller than that of the windward side.

Keywords

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Fig. 1. Topography and analysis domains (D1, D2, D3). The altitude above mean sea level is shaded. Dashed circles represent 150 km ranges from GSN and SSP radar. Box symbols indicate the locations of radar.

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Fig. 2. Flow chart of the construction of valid motion vectors from GSN, SSP radar data.

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Fig. 3. Normalized frequency distribution of the direction and speed of motion vectors in D2 during the entire period. Upper (right) panel shows normalized frequency distribution of speed (direction) of motion vectors. ‘X’ mark indicates maximum frequency, whiskers represent the median, first and third quartile.

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Fig. 4. Diurnal variation of normalized frequency distribution of the (a) direction and (b) speed of motion vectors in D2 during the entire period. Upper panel shows time-averaged normalized frequency distribution. ‘X’ mark indicates maximum frequency for every hour and whiskers represent the median, first and third quartile.

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Fig. 5. Same as in Fig. 5 except for (a), (d) June, (b), (d) July, (e), (f) August. Upper and lower panels are the direction and the speed of motion vectors, respectively.

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Fig. 6. Diurnal variation of the (a) direction and (b) speed of motion vectors in D2 for each month. Solid line indicates the mean and dashed lines represent standard deviations from the mean.

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Fig. 7. Spatial distribution of the (a) mean direction and (b) mean speed of the motion vectors in D2. Standard deviations of (c) direction and (d) speed of motion vectors are also presented. Only 13 × 13 out of 25 × 25 vectors is displayed.

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Fig. 8. Same as in Fig. 7a and Fig. 7b except for (a), (d) June, (b), (e) July, (c), (f) August. Upper and lower panels are the direction and the speed of motion vectors, respectively.

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Fig. 9. Hovmöller Diagram of the (a) direction and (b) speed of motion vectors in D3. Upper panels show averaged direction and speed (in blue) of motion vectors and topography height (in black).

Table 1. Specification of GSN and SSP radars.

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Table 2. The number of 2 km MOSAIC used for generating motion vectors, the number of valid motion vectors, and the ratio of valid motion vectors to the generated motion vectors.

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References

  1. Baek, S.-K., Y.-J. Choi, C.-Y. Chung, and C.-H. Cho, 2006: The characteristics and predictability of convective system based on GOES-9 observations during the summer of 2004 over East Asia. Atmosphere, 16, 225-234 (in Korean with English abstract).
  2. Carbone, R. E., J. D. Tuttle, D. A. Ahijevych, and S. B. Trier, 2002: Inferences of predictability associated with warm season precipitation episodes. J. Atmos. Sci., 59, 2033-2056. https://doi.org/10.1175/1520-0469(2002)059<2033:IOPAWW>2.0.CO;2
  3. Choi, B.-S., 2002: A study on the characteristics of sea breeze over Jeju Island. Master's thesis, Jeju National University Graduate School of Industry, 53 pp (in Korean with English abstract).
  4. Choi, G., 2013: Spatial patterns of seasonal extreme precipitation events in Mt. Halla. Climate Research, 8, 267-280 (in Korean with English abstract). https://doi.org/10.14383/cri.2013.8.4.267
  5. Dixon, M., and G. Wiener, 1993: TITAN: Thunderstorm identification, tracking, analysis, and nowcasting-A radar-based methodology. J. Atmos. Oceanic Technol., 10, 785-797. https://doi.org/10.1175/1520-0426(1993)010<0785:TTITAA>2.0.CO;2
  6. Germann, U., and I. Zawadzki, 2002: Scale-dependence of the predictability of precipitation from continental radar images. Part I: Description of the methodology. Mon. Wea. Rev., 130, 2859-2873. https://doi.org/10.1175/1520-0493(2002)130<2859:SDOTPO>2.0.CO;2
  7. Goudenhoofdt, E., and L. Delobbe, 2013: Statistical characteristics of convective storms in Belgium derived from volumetric weather radar observations. J. Appl. Meteor. Climatol., 52, 918-934, doi:10.1175/JAMCD-12-079.1.
  8. Goudenhoofdt, E., M. Reyniers, and L. Delobbe, 2010: Long term analysis of convective storm tracks based on C-band radar reflectivity measurements. ERAD 2010 - 6th European Conference on Radar in Meteorology and Hydrology. 6 pp [Available online at https://www.meteo.be/meteo/download/de/5369049/pdf/rmi_scpub-1427.pdf].
  9. Jang, S.-M., J.-Y. Gu, D.-I. Lee, J.-H. Jeong, S.-H. Park, and H. Uyeda, 2012: An analysis of precipitation systems developed near Jeju Island in Korea during the summer monsoon, 2006. J. Korean Earth Sci. Soc., 33, 377-394, doi:10.5467/JKESS.2012.33.5.377.
  10. Jung, S.-H., and K.-E. Kim, 2007: The development of radar beam propagation simulation program using digital elevation model. Proceedings of the Spring Meeting of KMS 2007, Korean Meteorological Society, 346-347 (in Korean).
  11. Kanada, S., H. Minda, B. Geng, and T. Takeda, 2000: Rainfall enhancement of band-shaped convective cloud system in the downwind side of an isolated island. J. Meteorol. Soc. Jpn. Ser. II, 78, 47-67. https://doi.org/10.2151/jmsj1965.78.1_47
  12. Kang, T. J., 2002: Changes in wind structure with elevation of Mt. Halla. Atmosphere, 12, 217-219 (in Korean).
  13. Kim, Y.-K., 1991: Characteristics of the land and sea breeze on Cheju Island, Korea. Journal of the Korean Society of Fisheries and Ocean Technology, 27, 41-55 (in Korean with English abstract).
  14. Korean Meteorological Society, 2002: Introduction to Atmospheric Science, Sigma Press, 406 pp.
  15. Kucera, P. A., W. F. Krajewski, and C. B. Young, 2004: Radar beam occultation studies using GIS and DEM technology: An example study of Guam. J. Atmos. Oceanic Technol., 21, 995-1006. https://doi.org/10.1175/1520-0426(2004)021<0995:RBOSUG>2.0.CO;2
  16. Kwon, S., G. Lee, and G. Kim, 2012: Rainfall Estimation from an Operational S-band Dual-Polarization Radar: Effect of Radar Calibration. J. Meteorol. Soc. Jpn. Ser. II, 93, 65-79, doi:10.2151/jmsj.2015-005.
  17. Lee, G., and I. Zawadzki, 2006: Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data. J. Hydrol., 328, 83-97. https://doi.org/10.1016/j.jhydrol.2005.11.046
  18. Lee, H.-W., S.-H. Jung, and G. Lee, 2015: Spatiotemporal characteristics of convective precipitation using radar reflectivity data. Proceedings of the Spring Meeting of KMS 2015, Korean Meteorological Society, 38-39 (in Korean).
  19. Lee, J.-T., K.-Y. Ko, D.-I. Lee, C.-H. You, and Y.-C. Liou, 2018: Enhancement of orographic precipitation in Jeju Island during the passage of Typhoon Khanun (2012). Atmos. Res., 201, 58-71, doi:10.1016/j.atmosres.2017.10.013.
  20. Lee, K.-O., 2013: Study on effects of an isolated elliptical terrain (Jeju Island) on rainfall enhancement in a moist environment. Ph.D. thesis, Nagoya University, 199 pp.
  21. Lyu, G., S.-H. Jung, K.-Y. Nam, S. Kwon, C.-R. Lee, and G. Lee, 2015: Improvement of radar rainfall estimation using radar reflectivity data from the hybrid lowest elevation angles. J. Korean Earth Sci. Soc., 36, 109-124, doi:10.5467/JKESS.2015.36.1.109 (in Korean with English abstract).
  22. NIMR, 2008: Analysis of local precipitation events occurred over Jeju Island using weather radar. National Institute of Meteorological Research 11-1360395-000047-01,118 pp (in Korean).
  23. NIMR, 2011: Improvement of performance in very-short range forecast models with nowcasting data. National Institute of Meteorological Research, 227 pp (in Korean).
  24. Oh, Y. S., D. H. Kim, and K. O. Song, 2006: The influence of orographic effect of Mt. Halla on local temperature over Jeju Island. Proceedings of the Spring Meeting of KMS 2006, 282-285 (in Korean).
  25. Park, S., S.-H. Jung, and G. Lee, 2015: Cross validation of TRMM PR reflectivity profiles using 3D reflectivity composite from the ground-based radar network over the Korean Peninsula. J. Hydrometeor, 16, 668-687, doi:10.1175/JHM-D-14-0092.1.
  26. Wang, C.-C., G. T.-J. Chen, and R. E. Carbone, 2004: A climatology of warm-season cloud patterns over East Asia based on GMS infrared brightness temperature observations. Mon. Wea. Rev., 132, 1606-1629. https://doi.org/10.1175/1520-0493(2004)132<1606:ACOWCP>2.0.CO;2
  27. Weather Radar Center, 2017: Development of Optimized Techniques for Dual-Polarization Radar Harmonization. Weather Radar Center, 11-1360000-001488-01, 243 pp (in Korean).
  28. Yamartino, R. J., 1984: A comparison of several "Single-Pass" estimators of the standard deviation of wind direction. J. Appl. Meteor. Climatol., 23, 1362-1366. https://doi.org/10.1175/1520-0450(1984)023<1362:ACOSPE>2.0.CO;2
  29. Zawadzki, I., and B. Puigdomenech, 2014: A climatology of mesoscale motions of precipitation patterns. ERAD 2014 - 8th European Conference on Radar in Meteorology and Hydrology (Short abstract) [Available online at http://www.pa.op.dlr.de/erad2014/programme/ShortAbstracts/265_short.pdf].