Chen Mingxuan, Wang Yingchun, Yu Xiaoding. Improvement and application test of TREC algorithm for convective storm nowcast. J Appl Meteor Sci, 2007, 18(5): 690-701.
Citation: Chen Mingxuan, Wang Yingchun, Yu Xiaoding. Improvement and application test of TREC algorithm for convective storm nowcast. J Appl Meteor Sci, 2007, 18(5): 690-701.

Improvement and Application Test of TREC Algorithm for Convective Storm Nowcast

  • Received Date: 2006-02-15
  • Rev Recd Date: 2007-03-01
  • Publish Date: 2007-10-31
  • At present, cross-correlation extrapolation is one of the main algorithms for convective storm now cast. Motion vectors of convective storm for every divided equal-sized two-dimensional arrays of radar echo or other data measured at two times several minutes apart by calculating optimal spatial cross-correlation are obtained in the algorithm. The obtained motion vectors are customarily called TREC (tracking radar echoes by correlation) vectors or TREC winds. And then, storm now cast can be achieved by extrapolating radar echoes or other data based on the obtained TREC vectors. The algorithm results involve not only the changing characteristics of magnitude and direction of the motion vectors, but also shape varieties of the whole echoes in the course of their movement. So the result of storm now cast based on the algorithm is assuredly reasonable and significant in meteorology. The basic principle of TREC is introduced firstly. And a number of methods to improve the algorithm result are presented, including noisy vector restriction and clutter contamination removal, discarded or missing motion vector supplement, vector smoothing, and so on. Analysis results of two cases indicate that the tracked motion vectors can be markedly improved after quality control and optimization processes to TREC algorithm. Finally, based on the optimized TREC algorithm and Tianjin radar data, storm nowcast tests and verifications of four intense convective storms that occur in Beijing-Tianjin-Hebei areas during 2004 and 2005 summertime, including two squall line cases, a hailstorm case and a strong thunderstorm case, are described in detail. The results indicate that the improved algorithm is available for convective storm nowcast.The algorithm can automatically produce 30-minute or 60-minute forecast of location and shape of radar echoes or storm characteristics based on the extrapolated vectors. The forecast results are close to what is actually happening. Because the algorithm can automatically produce forecast results in real time mode, it is helpful for convective storm now cast and warning.The forecast results are also clear at a glance, so abilities of forecasters for strong convective storm identification and forecast can be enhanced by the algorithm. An expectation is that the improved algorithm can be used for operational storm now cast in the near future.
  • Fig. 1  Coloured plan position indicator (PPI) of Tianjin radar reflectivity with elevation angle of 0.4° at 19:44 on August 8, 2005 and overlaid TREC vectors without quality control (a) and with quality control (b)

    Fig. 2  30-min forecast of reflectivity echo (≥35 dBz) at 09:38(a) and 09:50(c) on July 29, 2004 based on TREC vectors, and reflectivity observation (≥35 dBz)30-min later from Tianjin radar with elevation angle of 0.4 at 10:08(b) and 10:20(d)

    Fig. 3  30-min forecast of extension of reflectivity maximum (≥35 dBz) at 09:19(a) and 09:44(b) on July 29, 2004(black contour) based on TREC vectors, and actual extension of reflectivity maximum (≥35 dBz)30-min later (shaded color)

    Fig. 4  30-min forecast of reflectivity echo (≥35 dBz) at 11:18(a) on May 31, 2005 based on TREC vectors, and reflectivity observation (≥35 dBz)30-min later from Tianjin radar with elevation angle of 0.4° at 11:18(b)

    Fig. 5  30-min forecast of reflectivity echo (≥35 dBz) at 08:47(a) on June 13, 2005 based on TREC vectors, and reflectivity observation (≥35 dBz)30-min later from Tianjin radar with elevation angle of 0.5° at 09:18(b)

    Fig. 6  30-min forecast of extension of reflectivity maximum (≥35 dBz) at 08:47on June 13, 2005(black contour) based on TREC vectors, and actual extension of reflectivity maximum (≥35 dBz)30-min later (shaded color)

    Fig. 7  60-min forecast of reflectivity echo at 08:41(a) on June 13, 2005 based on TREC vectors, and reflectivity observation with elevation angle of 0.5° at 09:36(b)

    Fig. 8  30-min forecast of reflectivity echo (≥35 dBz) at 20:36(a) and 20:47(c) on July 14, 2005 based on TREC vectors, and reflectivity observation (≥35 dBz) 30-min later from Tianjin radar with elevation angle of 0.5° at 21:03(b) and 21:15(d)

  • [1]
    Wilson J W, Crook N A, MueUer C K, et al. Nowcasting thunderstorm: A status report. Bull Amer Met Soc, 1998, 79: 2079-2099. doi:  10.1175/1520-0477(1998)079<2079:NTASR>2.0.CO;2
    [2]
    Wilson J W. Thunderstorm nowcasting: Past, Present and Future. Preprints J2. 1, 31st International Conference on Radar Meteorology. Seattle, WA, Amer Meteor Soc, 2003.
    [3]
    Lai E S T. Advances in Nowcasting. CBS Technical Conference on Public Weather Services. St Petersburg, Russian Federation, 2005.
    [4]
    Keenan T, Joe P, Wilson J W, et al. The Sydney 2000 World Weather Research Program Forecast Demonstration Project: Overview and current status. Bull Amer Met Soc, 2003, 84: 1041-1054. doi:  10.1175/BAMS-84-8-1041
    [5]
    陈明轩, 俞小鼎, 谭晓光, 等.对流天气临近预报技术的发展与研究进展.应用气象学报, 2004, 15(6):754-766. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040693&flag=1
    [6]
    Dixon M, Wiener G.. TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting-a radar-based methodology. J Atmos Ocean Tech, 1993, 10:785-797. doi:  10.1175/1520-0426(1993)010<0785:TTITAA>2.0.CO;2
    [7]
    Johnson J T, MacKeen P L, Witt A, et al. The storm cell identification and tracking algorithm: An enhanced WSR-88D algorithm. Wea Forecasting, 1998, 13: 263-276. doi:  10.1175/1520-0434(1998)013<0263:TSCIAT>2.0.CO;2
    [8]
    Mueller C, Saxen T, Roberts R, et al. NCAR auto-nowcast system. Wea Forecasting, 2003, 18: 545-561. doi:  10.1175/1520-0434(2003)018<0545:NAS>2.0.CO;2
    [9]
    Li P W, Wong W K. Chan K Y, et al. SWIRLS-an Evolving Nowcasting System. Technical Note, 2000, No. 100, Hong Kong Observatory.
    [10]
    Rinehart R E, Garvey E T. Three-dimensional storm motion detection by conventional weather radar. Nature, 1978, 273: 287-289. doi:  10.1038/273287a0
    [11]
    Smythe G R, Zmic D S. Correlation analysis of Doppler radar data and retrieval of the horizontal wind. J Climate Appl Meteor, 1983, 22: 297-311. doi:  10.1175/1520-0450(1983)022<0297:CAODRD>2.0.CO;2
    [12]
    Tuttle J D, Foote G B. Determination of the boundary layer airflow from a single-Doppler radar. J Atmos Oceanic Technol, 1990, 7: 218-232. doi:  10.1175/1520-0426(1990)007<0218:DOTBLA>2.0.CO;2
    [13]
    Browning K A, Collier C G, Larke P R, et al. On the forecasting of frontal rain using a weather radar network. Mon Wea Rev, 1982, 110: 534-552. doi:  10.1175/1520-0493(1982)110<0534:OTFOFR>2.0.CO;2
    [14]
    Turtle J D, Gall R. A single-radar technique for estimating the winds in tropical cyclones. Bull Amer Met Soc, 1999, 80: 653-668. doi:  10.1175/1520-0477(1999)080<0653:ASRTFE>2.0.CO;2
    [15]
    Lai E S T. TREC Application in Tropical Cyclone Observation Preprint 324, ESCAP/WMO Typhoon Committee Annual Review. Typhoon Committee Secretariat, Manila, Philippines 1998: 135-139.
    [16]
    Hamill T, Nehrkom T. A short-term cloud forecast scheme using cross correlations. Wea Forecasting, 1993, 8: 401-411. doi:  10.1175/1520-0434(1993)008<0401:ASTCFS>2.0.CO;2
    [17]
    万齐林, 薛纪善, 陈子通, 等.雷达TREC风的三维变分同化应用与试验.热带气象学报, 2005, 21(5):449-457. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200505000.htm
    [18]
    Li L, Schmid W, Joss J. Nowcasting of motion and growth of precipitation with radar over a complex orography. J Appl Meteor, 1995, 34: 1286-1300. doi:  10.1175/1520-0450(1995)034<1286:NOMAGO>2.0.CO;2
    [19]
    Mecklenburg S, Joss J, Schmid W. Improving the nowcasting of precipitation in an Alpine region with an enhanced radar echo tracking algorithm. J Hydrol, 2000, 239: 46-68. doi:  10.1016/S0022-1694(00)00352-8
    [20]
    Rasmussen R, Dixon M, Hage F, et al. Weather Support to Deicing Decision Making (WSDDM) : A winter weather nowcasting system. Bull Amer Met Soc, 2001, 82: 579-595. doi:  10.1175/1520-0477(2001)082<0579:WSTDDM>2.3.CO;2
    [21]
    Mohr C G, Vaughan R L. An economical procedure for Cartesian interpolation and display of reflectivity data in three dimensional spaces. J Appl Meteor, 1979, 18: 661-670. doi:  10.1175/1520-0450(1979)018<0661:AEPFCI>2.0.CO;2
    [22]
    陈明轩, 高峰.利用一种自动识别算法移除天气雷达反射率因子中的亮带.应用气象学报, 2006, 17(2):207-214. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060235&flag=1
    [23]
    陈明轩, 俞小鼎, 谭晓光, 等.北京2004年“7.10”突发性对流强降水的雷达回波特征分析.应用气象学报, 2006, 17(3):333-345. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060359&flag=1
  • 加载中
  • -->

Catalog

    Figures(8)

    Article views (4520) PDF downloads(1981) Cited by()
    • Received : 2006-02-15
    • Accepted : 2007-03-01
    • Published : 2007-10-31

    /

    DownLoad:  Full-Size Img  PowerPoint