Some considerations for the use of high-resolution mobile radar data in tornado intensity determination

Weather and Forecasting

Volumn 29, Issue 4, 2014, Pages 799-827

  Snyder, Jeffrey C ^a   Bluestein, Howard B ^b  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEBRIS; DOPPLER RADAR; POLARIMETERS; RURAL AREAS; TORNADOES; VELOCITY;

DIFFERENTIAL VELOCITY; HIGH RESOLUTION; HIGH RESOLUTION RADAR; POLARIMETRIC RADARS; RADAR OBSERVATIONS; RADIAL VELOCITY; SPECTRUM WIDTH; TORNADO INTENSITY;

RADAR MEASUREMENT;

DATA ASSIMILATION; DOPPLER RADAR; TORNADO; WEATHER FORECASTING; WIND VELOCITY;

UNITED STATES;

EID: 84905010047     PISSN: 08828156     EISSN: 15200434     Source Type: Journal    
DOI: 10.1175/WAF-D-14-00026.1     Document Type: Article

References (72)

1. Alexander, C. R., and J. M. Wurman, 2008: Updated mobile radar climatology of supercell tornado structures and dynamics. 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 19.4. [Available online at https://ams.confex.com/ams/24SLS/techprogram/paper_141821.htmelevation.]
2. Asefi-Najafabady, S., K. Knupp, J. R. Mecikalski, R. M. Welch, and D. Phillips, 2010: Ground-based measurements and dual-Doppler analysis of 3-D wind fields and atmospheric circulations induced by a meso-g-scale inland lake. J. Geophys. Res., 115, D23117, doi:10.1029/2010JD014022.
3. Balakrishnan, N., and D. S. Zrnić, 1990: Use of polarization to characterize precipitation and discriminate large hail. J. Atmos. Sci., 47, 1525-1540, doi:10.1175/1520-0469(1990)047,1525: UOPTCP.2.0.CO;2.
4. Beamer, C. M., 1970: Measured antenna beam cross-section contours on a 230-km tropospheric scatter circuit. Collins Radio Company Internal Rep., 20 pp.
5. Beck, V., and N. Dotzek, 2010: Reconstruction of near-surface tornado wind fields from forest damage. J. Appl. Meteor. Climatol., 49, 1517-1537, doi:10.1175/2010JAMC2254.1.
6. Bluestein, H. B., and A. L. Pazmany, 2000: Observations of tornadoes and other convective phenomena with a mobile, 3-mm wavelength, Doppler radar: The Spring 1999 Field Experiment. Bull. Amer. Meteor. Soc., 81, 2939-2951, doi:10.1175/1520-0477(2000)081,2939:OOTAOC.2.3.CO;2.
7. Bluestein, H. B., J. G. LaDue, H. Stein, D. Speheger, and W. P. Unruh, 1993: Doppler radar wind spectra of supercell tornadoes. Mon. Wea. Rev., 121, 2200-2221, doi:10.1175/1520-0493(1993)121,2200: DRWSOS.2.0.CO;2.
8. Bluestein, H. B., M. M. French, R. L. Tanamachi, S. Frasier, K. Hardwick, F. Junyent, and A. L. Pazmany, 2007a: Close-range observations of tornadoes in supercells made with a dual-polarization, X-band, mobile Doppler radar. Mon. Wea. Rev., 135, 1522-1543, doi:10.1175/MWR3349.1.
9. Bluestein, H. B., C. C. Weiss, M. M. French, E. M. Holthaus, R. L. Tanamachi, S. Frasier, and A. L. Pazmany, 2007b: The structure of tornadoes near Attica, Kansas, on 12 May 2004: High-resolution mobile, Doppler radar observations. Mon. Wea. Rev., 135, 475-506, doi:10.1175/MWR3295.1.
10. Bluestein, H. B., M. M. French, I. PopStefanija, R. T. Bluth, and J. B. Knorr, 2010: A mobile, phased-array Doppler radar for the study of severe convective storms. Bull. Amer. Meteor. Soc., 91, 579-600, doi:10.1175/2009BAMS2914.1.
11. Bluestein, H. B., J. B. Houser, M. M. French, J. C. Snyder, G. D. Emmitt, I. PopStefanija, C. Baldi, and R. T. Bluth, 2014: Observations of the boundary layer near tornadoes and in supercells using a mobile, collocated, pulsed Doppler lidar and radar. J. Atmos. Oceanic Technol., 31, 302-325, doi:10.1175/JTECH-D-13-00112.1.
12. Bodine, D. J., M. R. Kumjian, R. D. Palmer, P. L. Heinselman, and A. V. Ryzhkov, 2013: Tornado damage estimation using polarimetric radar. Wea. Forecasting, 28, 139-158, doi:10.1175/WAF-D-11-00158.1.
13. Brooks, H. E., 2004: On the relationship of tornado path length and width to intensity. Wea. Forecasting, 19, 310-319, doi:10.1175/1520-0434(2004)019,0310:OTROTP.2.0.CO;2.
14. Brooks, H. E. and C. A. Doswell III, 2001: Some aspects of the international climatology of tornadoes by damage classification. Atmos. Res., 56, 191-201, doi:10.1016/S0169-8095(00)00098-3.
15. Brooks, H. E., J. W. Lee, and J. P. Craven, 2003: The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. Atmos. Res., 67-68, 73-94, doi:10.1016/S0169-8095(03)00045-0.
16. Dolan, B., and S. A. Rutledge, 2009: A theory-based hydrometeor identification algorithm for X-band polarimetric radars. J. Atmos. Oceanic Technol., 26, 2071-2088, doi:10.1175/2009JTECHA1208.1.
17. Doswell, C. A., III, H. Brooks, and N. Dotzek, 2009: On the implementation of the enhanced Fujita scale in the USA. Atmos. Res., 93, 554-563, doi:10.1016/j.atmosres.2008.11.003.
18. Doviak, R. J., and D. S. Zrnić, 1993: Doppler Radar and Weather Observations. 2nd. ed. Academic Press, 562 pp.
19. Dowell, D. C., C. R. Alexander, J.M. Wurman, and L. J. Wicker, 2005: Centrifuging of hydrometeors and debris in tornadoes: Radar-reflectivity patterns and wind-measurement errors. Mon. Wea. Rev., 133, 1501-1524, doi:10.1175/MWR2934.1.
20. Edwards, R., J. G. LaDue, J. T. Ferree, K. Scharfenberg, C. Maier, and W. L. Coulbourne, 2013: Tornado intensity estimation: Past, present, and future. Bull. Amer. Meteor. Soc., 94, 641-653, doi:10.1175/BAMS-D-11-00006.1.
21. Federal Emergency Management Agency, 2012: Spring 2011 tornadoes: April 25-28 and May 22. FEMA Mitigation Assessment Team Rep. FEMA P-908, 512 pp.
22. Fiedler, B. H., and R. Rotunno, 1986: A theory for the maximum wind speeds in tornado-like vortices. J. Atmos. Sci., 43, 2328-2340, doi:10.1175/1520-0469(1986)043,2328: ATOTMW.2.0.CO;2.
23. French, M. M., L. J. Wicker, D. W. Burgess, and E. R. Mansell, 2013: Mobile, Doppler polarimetric radar observations of supercell hook echoes during VORTEX2. 36th Conf. on Radar Meteorology, Breckenridge, CO, Amer. Meteor. Soc., 13A.4. [Available online at https://ams.confex.com/ams/36Radar/webprogram/Paper228657.html.]
24. Fujita, T. T., 1981: Tornadoes and downbursts in the context of generalized planetary scales. J. Atmos. Sci., 38, 1511-1534, doi:10.1175/1520-0469(1981)038,1511:TADITC.2.0.CO;2.
25. Garner, J. M., 2012: Environments of signature tornadoes occurring with the warm sector versus those occurring along surface baroclinic boundaries. Electron. J. Severe Storms Meteor., 7 (5). [Available online at http://ejssm.org/ojs/index.php/ejssm/issue/view/38.]
26. Gong, B., D. C. Lewellen, and W. S. Lewellen, 2006: The effects of fine-scale debris on different tornado corner flows. 23rd Conf. on Severe Local Storms, St. Louis, MO, Amer. Meteor. Soc., P10.3. [Available online at http://ams.confex.com/ams/pdfpapers/115317.pdf.]
27. Houser, J. B., 2013: Rapid-scan, polarimetric, Doppler radar observations of supercell tornado evolution on 24 May 2011. Ph.D. dissertation, University of Oklahoma, 264 pp.
28. Karstens, C. D., W. A. Gallus, B. D. Lee, and C. A. Finley, 2013: Analysis of tornado-induced tree fall using aerial photography from the Joplin, Missouri, and Tuscaloosa-Birmingham, Alabama, tornadoes of 2011. J. Appl. Meteor. Climatol., 52, 1049-1068, doi:10.1175/JAMC-D-12-0206.1.
29. Kerr, B. W., and G. L. Darkow, 1996: Storm-relative winds and helicity in the tornadic thunderstorm environment. Wea. Forecasting, 11, 489-505, doi:10.1175/1520-0434(1996)011,0489: SRWAHI.2.0.CO;2.
30. Kosiba, K. A., and J. Wurman, 2013: The three-dimensional structure and evolution of a tornado boundary layer. Wea. Forecasting, 28, 1552-1561, doi:10.1175/WAF-D-13-00070.1.
31. Kuligowski, E. D., F. T. Lombardo, L. T. Phan, M. L. Levitan, and D. P. Jorgensen, 2013: Technical investigation of the May 22, 2011, tornado in Joplin, Missouri. Draft Final Rep. NIST NCSTAR 3, National Institute of Standards and Technology, 428 pp.
32. Kumjian, M. R., 2011: Precipitation properties of supercell hook echoes. Electron. J. Severe Storms Meteor., 6 (5). [Available online at http://ejssm.org/ojs/index.php/ejssm/issue/view/30.]
33. Kumjian, M. R. and A. V. Ryzhkov, 2008: Polarimetric signatures in supercell thunderstorms. J. Appl. Meteor. Climatol., 47, 1940-1961, doi:10.1175/2007JAMC1874.1.
34. Lewellen, D. C., and W. S. Lewellen, 2007: Near-surface intensification of tornado vortices. J. Atmos. Sci., 64, 2176-2194, doi:10.1175/JAS3965.1.
35. Lewellen, D. C., B. Gong, and W. S. Lewellen, 2008: Effects of finescale debris on near-surface tornado dynamics. J. Atmos. Sci., 65, 3247-3262, doi:10.1175/2008JAS2686.1.
36. Lewellen, W. S., J. Xia, and D. C. Lewellen, 2002: Transonic velocities in tornadoes? Preprints, 21st Conf. on Severe Local Storms, San Antonio, TX, Amer. Meteor. Soc., P10.2. [Available online at https://ams.confex.com/ams/pdfpapers/46933.pdf.]
37. Mead, C. M., and R. L. Thompson, 2011: Environmental characteristics associated with nocturnal significant-tornado events in the central and southern Great Plains. Electron. J. Severe Storms Meteor., 6 (6). [Available online at http://www.ejssm.org/ojs/index.php/ejssm/article/viewArticle/84.]
38. Melnikov, V. M., 2004: Simultaneous transmission mode for the polarimetric WSR-88D: Statistical biases and standard deviations of polarimetric variables. NOAA/NSSL Rep., 84 pp.
39. Melnikov, V. M., and D. S. Zrnić, 2004: Estimates of large spectrum width from autocovariances. J. Atmos. Oceanic Technol., 21, 969-974, doi:10.1175/1520-0426(2004)021,0969:EOLSWF.2.0.CO;2.
40. Melnikov, V. M., D. S. Zrnić, A. Ryzhkov, A. Zahrai, and J. Carter, 2009: Validation of attenuation correction at X band performed with collocated S-band polarimetric radar. 34th Conf. on Radar Meteorology, Williamsburg, VA, Amer. Meteor. Soc., 11A.5. [Available online at https://ams.confex.com/ams/pdfpapers/155322.pdf.]
41. Melnikov, V. M., M. Leskinen, and J. Koistinen, 2014: Doppler velocities at orthogonal polarizations in radar echoes from insects and birds. IEEE Geosci. Remote Sens. Lett., 11, 592-596, doi:10.1109/LGRS.2013.2272011.
42. Nolan, D. S., 2013: On the use of Doppler radar-derived wind fields to diagnose the secondary circulations of tornadoes. J. Atmos. Sci., 70, 1160-1171, doi:10.1175/JAS-D-12-0200.1.
43. Park, H., A. V. Ryzhkov, D. S. Zrnić, and K. Kim, 2009: The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and application to an MCS. Wea. Forecasting, 24, 730-748, doi:10.1175/2008WAF2222205.1.
44. Pazmany, A. L., J. B. Mead, H. B. Bluestein, J. C. Snyder, and J. B. Houser, 2013: A mobile rapid-scanning polarimetric (RaXPol) Doppler radar system. J. Atmos. Oceanic Technol., 30, 1398-1413, doi:10.1175/JTECH-D-12-00166.1.
45. Rotunno, R., 1979: A study in tornado-like vortex dynamics. J. Atmos. Sci., 36, 140-155, doi:10.1175/1520-0469(1979)036,0140: ASITLV.2.0.CO;2.
46. Rotunno ,R., 2013: The fluid dynamics of tornadoes. Annu. Rev. Fluid Mech., 45, 59-84, doi:10.1146/annurev-fluid-011212-140639.
47. Ryzhkov, A. V., 2007: The impact of beam broadening on the quality of radar polarimetric data. J. Atmos. Oceanic Technol., 24, 729-744, doi:10.1175/JTECH2003.1.
48. Rotunno,A.V., T. J. Schuur, D. W. Burgess, and D. S. Zrnić, 2005: Polarimetric tornado detection. J. Appl. Meteor., 44, 557-570, doi:10.1175/JAM2235.1.
49. Schultz, C. J., and Coauthors, 2012: Dual-polarization tornadic debris signatures, part I: Examples and utility in an operational setting. Electron. J. Oper. Meteor., 13, 120-137.
50. Seliga, T. A., and V. N. Bringi, 1976: Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation. J. Appl. Meteor., 15, 69-76, doi:10.1175/1520-0450(1976)015,0069:PUORDR.2.0.CO;2.
51. Snyder, J. C., H. B. Bluestein, G. Zhang, and S. J. Frasier, 2010: Attenuation correction and hydrometeor classification of high-resolution, X-band, dual-polarized mobile radar measurements in severe convective storms. J. Atmos. Oceanic Technol., 27, 1979-2001, doi:10.1175/2010JTECHA1356.1.
52. Snyder, J. C.,H. B. Bluestein, V. Venkatesh, and S. J. Frasier, 2013: Observations of polarimetric signatures in supercells by an X-band mobile Doppler radar. Mon. Wea. Rev., 141, 3-29, doi:10.1175/MWR-D-12-00068.1.
53. Straka, J. M., D. S. Zrnić, and A. V. Ryzhkov, 2000: Bulk hydrometeor classification and quantification using polarimetric radar data: Synthesis of relations. J. Appl. Meteor., 39, 1341-1372, doi:10.1175/1520-0450(2000)039,1341: BHCAQU.2.0.CO;2.
54. Testud, J., E. Le Bouar, E. Obligis, and M. Ali-Mehenni, 2000: The rain profiling algorithm applied to polarimetric weather radar. J. Atmos. Oceanic Technol., 17, 332-356, doi:10.1175/1520-0426(2000)017,0332:TRPAAT.2.0.CO;2.
55. Thampi, H., V. Dayal, and P. P. Sarkar, 2011: Finite element analysis of interaction of tornados with low-rise timber building. J. Wind Eng. Ind. Aerodyn., 99, 369-377, doi:10.1016/j.jweia.2011.01.004.
56. Thompson, R. L., R. Edwards, J. A. Hart, K. L. Elmore, and P. M. Markowski, 2003: Close proximity soundings within supercell environments obtained from the Rapid Update Cycle. Wea. Forecasting, 18, 1243-1261, doi:10.1175/1520-0434(2003)018,1243:CPSWSE.2.0.CO;2.
57. Thompson R. L., C. M. Mead, and R. Edwards, 2007: Effective storm-relative helicity and bulk shear in supercell thunderstorm environments. Wea. Forecasting, 22, 102-115, doi:10.1175/WAF969.1.
58. Wakimoto, R. M., P. Stauffer, W.-C. Lee, N. T. Atkins, and J. Wurman, 2012: Finescale structure of the LaGrange, Wyoming, tornado during VORTEX2: GBVTD and photogrammetric analyses. Mon. Wea. Rev., 140, 3397-3418, doi:10.1175/MWR-D-12-00036.1.
59. Weiss, C. C., J. L. Schroeder, J. Guynes, A. E. Reinhart, P. S. Skinner, and S. Gunter, 2011: A review of Texas Tech Kaband operations during VORTEX2. 35th Conf. on Radar Meteorology, Pittsburgh, PA, Amer. Meteor. Soc., 7B.2. [Available online at https://ams.confex.com/ams/35Radar/webprogram/Paper191783.html.]
60. Womble, J. A., and D. A. Smith, 2009: Common misconceptions in determining wind/water damage causation. Proc. 2009 Structures Conf., Austin, TX, Structural Engineering Institute of the American Society of Civil Engineers, 1307-1316.
61. Womble, J. A., D. A. Smith, K. Mehta, and J. McDonald, 2009: The enhanced Fujita scale: For use beyond tornadoes? Proc. Fifth Forensic Engineering Conf., Washington, DC, Technical Council on Forensic Engineering of the American Society of Civil Engineers, 699-708.
62. Womble, J. A., D. A. Smith, J. McDonald, and K. Mehta, 2011: Intended use and potential misuse of the EF scale. 11th Americas Conf. on Wind Engineering, San Juan, PR, International Association for Wind Engineering. [Available at http://www.iawe.org/Proceedings/11ACWE/11ACWE-Womble1.pdf.]
63. WSEC, 2006:Arecommendation for an enhanced Fujita scale (EFscale). Wind Science and Engineering Center Rep., Texas Tech University, 108 pp. [Available online at http://www.depts.ttu.edu/nwi/Pubs/FScale/EFScale.pdf.]
64. Wurman, J., and C. Alexander, 2005: The 30 May 1998 Spencer, South Dakota. storm. Part II: Comparison of observed damage and radar-derived winds in the supercell tornadoes. Mon. Wea. Rev., 133, 97-119, doi:10.1175/MWR-2856.1.
65. Wurman, J. Straka, E. Rasmussen, M. Randall, and A. Zahrai, 1997: Design and deployment of a portable, pencil-beam, pulsed, 3-cm Doppler radar. J. Atmos. Oceanic Technol., 14, 1502-1512, doi:10.1175/1520-0426(1997)014,1502:DADOAP.2.0.CO;2.
66. Wurman J., C. Alexander, P. Robinson, and Y. Richardson, 2007: Lowlevel winds in tornadoes and potential catastrophic tornado impacts in urban areas. Bull. Amer. Meteor. Soc., 88, 31-46, doi:10.1175/BAMS-88-1-31.
67. Wurman,J., K. Kosiba, and P. Robinson, 2013: In situ, Doppler radar, and video observations of the interior structure of a tornado and the wind-damage relationship. Bull. Amer. Meteor. Soc., 94, 835-846, doi:10.1175/BAMS-D-12-00114.1.
68. Wurman,J., K. Kosiba, P. Robinson, and T. Marshall, 2014: The role of multiple vortex tornado structure in causing storm researcher fatalities. Bull. Amer. Meteor. Soc., 95, 31-45, doi:10.1175/BAMS-D-13-00221.1.
69. Xia, J., W. S. Lewellen, and D. C. Lewellen, 2003: Influence of Mach number on tornado corner flow dynamics. J. Atmos. Sci., 60, 2820-2825, doi:10.1175/1520-0469(2003)060,2820: IOMNOT.2.0.CO;2.
70. Zrnić, D. S., 1977: Spectrum width estimates from correlated pulse pairs. IEEE Trans. Aerosp. Electron. Syst., AES-13, 344-354, doi:10.1109/TAES.1977.308467.
71. Zrnić,D. S. and A. V. Ryzhkov, 1996: Advantages of rain measurements using specific differential phase. J. Atmos. Oceanic Technol., 13, 454-464, doi:10.1175/1520-0426(1996)013,0454: AORMUS.2.0.CO;2.
72. Zrnić, D.S., and A. V. Ryzhkov, 1999: Polarimetry for weather surveillance radars. Bull. Amer. Meteor. Soc., 80, 389-406, doi:10.1175/1520-0477(1999)080,0389:PFWSR.2.0.CO;2.