200 31 5 SWAN 0. 01 0. 01 6 min TITAN Thunder Identification Tracking Analysis SWAN TITAN and Nowcasting 19 TREC Tracking Radar Echo by Correlaction T



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31 1 2013 3 Journal of Arid Meteorology Vol. 31 No. 1 March 2013. SWAN J. 2013 31 1 199-205. doi 10. 11755 /j. issn. 1006-7639 2013-01 - 0199 SWAN 730020 2011 7 7 SWAN SWAN 2012 2 SWAN 1006-7639 2013-01 - 0199-07 doi 10. 11755 /j. issn. 1006-7639 2013-01 - 0199 P458. 1 + 21. 2 A VWP 10 0 ~ 2 h 1 11-12 VIL 2 VIL 13 VIL 14 20 80 3-4 21 PUP 15-16 5-7 8 PPI 2007 ~ 2010 9 SWAN 17-18 2011 SWAN 2012-11 - 19 2012-12 - 17 CMAYBY2012-063 CMAGJ20BZ09 1967 -. E - mail dry52889@ hotmail. com

200 31 5 SWAN 0. 01 0. 01 6 min TITAN Thunder Identification Tracking Analysis SWAN TITAN and Nowcasting 19 TREC Tracking Radar Echo by Correlaction TREC 0 ~ 1 h 2 SWAN PUP SWAN SWAN 7 4 1 2. 1 2011 7 SWAN 0-10 - 20 SWAN 7-30 - 40 1 WS SWAN 0-10 3-20 CR ET VIL 4-30 - 40 6 min 1 h 1. 1 7 2 08 20 1 0-10 - 0-10 - 20-30 - 20 50 dbz 7 40 SWAN 69. 6 dbz 7 18-10 49 dbz 7 14-20 0 ~ - 10 7 20-10 ~ - 30 3 4 6 7 30 1. 2 mm 50 mm 50 mm 3 9-13 4 60 dbz 7 SWAN Rmax = 59. 5 dbz 60 dbz 4-30 40 dbz Tab. 1 1 7 dbz 1 ~ 7 20110714 20110714 20110716 20110716 20110717 20110718 20110726 The maximum of radar echo reflectivity at the heigh of five temperature layers before hailstone 1 2 3 4 5 6 7 0 53 51 61 63 56 67. 5 57-10 51 50 59. 5 63. 5 56 69. 5 59. 5-20 49 50 53 58. 5 55 65 50-30 45 44. 5 55 51 52. 5 63 40-40 27 28 20. 5 24. 5 29 60. 5 28

1 SWAN 201 Fig. 1 1 The variation of radar echo reflectivity intensity with time at the heigh of five temperature layers and hail falling time and maximum diameter of hail 2. 2 50 dbz 65 dbz SWAN 3 45 kg /m 2 14 2 15 kg /m 2 0-10 13 km 17-20 km 50 mm

202 31 2 Fig. 2 The CR VIL ET change with time 2 4 2 4 SWAN 0 ~ - 10 7 Tab. 2 The SWAN radar product extremum and the 14 maximum of hail diameter and 0 ~ - 10 thickness 15 kg / m 2 \ 7. 14 7. 16 7. 18 7. 26 3 > 35 kg /m 2 0 ~ - 10 /m 2 282 2 909 2 889 2 996 CR /dbz 52 65. 5 68 60. 5 7 18 45 kg /m 2 VIL / kg /m 2 15 45 45 35 ET / km 13 14 17 13 D /mm 17 km 8 17 60 50

1 SWAN 203 50 mm 70 mm 0. 1 0. 1 11 km 8. 9 km 2. 3 SWAN 2011 1 h 7 0 1 1 0-10 - 20 2. 4. 2 20 min 50 dbz - 30 20 min 40 min 6 ~ 10 min 40 dbz 2 SWAN MICAPS 3 50 dbz - 30 40 dbz 3 SWAN 1 2 3. 1 2012 5 10 13 km 3 000 m 35 kg /m 2 20 ~ 30 mm 2. 4 2. 4. 1 42 17 2. 3 SWAN 18 6 0 ~ 1 h 4 5 10 16 00 16 30 1 h 16 00 3 16 30 20 00 3 Fig. 3 The process of hail nowcasting 21 00 products generation system 21 30 SWAN 0. 01 0. 01 MICAPS 4 91 E 43 N 110 E 32 N 3 2012 2 3. 2 2012 6 20 2012 6 20 19 00 ~ 19 30 30 min 0. 8 cm 19 50 ~ 20 45 6 30 min 3 cm 10 ~ 20 cm 5 18 30 19 00 1 h

204 31 Fig. 4 4 2012 5 10 0 ~ 1 h The hail nowcasting products 0 ~ 1 h hailstone area on May 10 2012 Fig. 5 5 2012 6 20 0 ~ 1 h The hail nowcasting products 0 ~ 1 h hailstone area on June 20 2012

1 SWAN 205 4 1 SWAN 6 SWAN J 7 2 8. J. SWAN 83. 9 11-3 13 VIL J. 2009 27 4 320-326. 11 J. 2004 23 6 810-814. 12 SWAN J. 2005 23 3 26-29. 13 4 SWAN TREC 14 TITAN J 1 15 0 ~ 2 h 17. 1. J. 2010 36 7 33-42. J. 2004 15 6 755. 2. A. 1983. 15-24. 3. M. 1988. 258-262 270-271 278 283-292 294 302 305 309-310 369. 5. J. 2011 29 3 336-342... 2009 27 1 82-87.. J. 2010 28 2 212-216. 2004 22 1 82 -. VWP J. 2009 27 2 177-180. 10.. VIL.. 2008. VIL J. 27 6 1363-1374... 2004 23 6 735-742.. J. 2007 25 4 80-84. 16. J. 2004 22 3 63-67. 18. SWAN J. 2012 30 2 287-292. 19 Dixon M and Wiener G. TITAN Thunderstorm identification tracking analysis and nowcasting - A Radar based Methodology J. J Atmos Oceanic Technology 1993 10 785-797. 20. 4. J. 2009 27 3 198-199. J. 2004 23 6 795-803. Application of SWAN Radar Products to Nowcasting of Hail in Hedong Region of Gansu Province FU Zhao YAN Han LIU Weicheng SONG Linlin Lanzhou Center Meteorological Observatory Lanzhou 730020 China Abstract A new method based on radar response was studied for hail nowcasting. The key characteristics of radar response data produced by the SWAN system were summerized by collecting 7 hail weather cases which occurred in July of 2011 in the Hedong region of Gansu. Thus nowcasting for hail is feasible according to the key characteristics by using extrapolate data outputed from SWAN system. Comparing the nowcasting products for hail with the real condition of two hail cases which occured in 2012 in the east of Yellow River in Gansu the results show that the new method had a significant effect for forecast and was suggested to apply in actual operation. Key words the east region of Yellow River in Gansu Province SWAN radar products hail nowcasting products