Abstract
In the mid-afternoon of 19 November 2015, a large multiple-vortex tornado struck the city of Marechal Cândido Rondon (MCR) situated in southern Brazil, injuring tens of people and inflicting considerable damage to urban and rural areas of the municipality. Characteristics of the complex tornado circulation that were captured in video are described in this study, including a structure resembling a multiple-vortex mesocyclone. The tornado-producing left-moving supercell evolved within 70 km range from a dual-polarization S-band Doppler radar that allowed, for the first time in South America, to document polarimetric signatures in a supercell storm during the stage in which it contained a large visually confirmed tornado. The polarimetric signatures identified with this convective cell include the ZDR arc, the KDP foot, ZDR and KDP columns, ZDR and ρhv rings, and the tornadic debris signature, in addition to other more traditional radar signatures like the hook echo, inflow notch, cyclonic velocity couplet, and bounded weak echo region. The general synoptic- and mesoscale atmospheric conditions in which the severe storm developed displayed a nearly uncapped moist subtropical environment with high CAPE, low LCL, and intense mid- and low-level wind shear, but under weak synoptic forcing and exhibiting unimpressive lapse rates. In combination with previous studies, this synoptic–mesoscale configuration describes a typical environment for tornadic supercells in southern and southeastern Brazil.
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Data availability
The dataset generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. The radar data and part of the AWSs surface observations that support the findings of this study are available from Sistema de Tecnologia e Monitoramento Ambiental do Paraná (SIMEPAR) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of SIMEPAR. Other datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Notes
Campaign’s acronyms stand for: The Cloud Processes of the Main Precipitation Systems in Brazil: a Contribution to Cloud Resolving Modeling and to the GPM (CHUVA); Remote Sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations (RELAMPAGO).
References
Adlerman EJ, Droegemeier KK, Davies-Jones R (1999) A numerical simulation of cyclic mesocyclogenesis. J Atmos Sci 56:2045–2069. https://doi.org/10.1175/1520-0469(1999)056%3c2045:ANSOCM%3e2.0.CO;2
Beard KV, Chuang C (1987) A new model for the equilibrium shape of raindrops. J Atmos Sci 44:1509–1524. https://doi.org/10.1175/1520-0469(1987)044%3c1509:ANMFTE%3e2.0.CO;2
Bluestein HB, French MM, Tanamachi RL, Frasier S, Hardwick K, Junyent F, Pazmany AL (2007) Close-range observations of tornadoes in supercells made with a dual-polarization, X-band, mobile Doppler radar. Mon Weather Rev 135:1522–1543. https://doi.org/10.1175/MWR3349.1
Bluestein HB, Snyder JC, Houser JB (2015) A multiscale overview of the El Reno, Oklahoma, tornadic supercell of 31 May 2013. Weather Forecast 30:525–552. https://doi.org/10.1175/WAF-D-14-00152.1
Bluestein HB, Thiem KJ, Snyder JC, Houser JB (2018) The multiple-vortex structure of the El Reno, Oklahoma, tornado on 31 May 2013. Mon Weather Rev 146:2483–2502. https://doi.org/10.1175/MWR-D-18-0073.1
Blumberg WG, Halbert KT, Supinie TA, Marsh PT, Thompson RL, Hart JA (2017) SHARPpy: an open source sounding analysis toolkit for the atmospheric sciences. Bull Am Meteorol Soc 28:1498–1523. https://doi.org/10.1175/BAMS-D-15-00309.1
Bodine DJ, Kumjian MR, Palmer RD, Heinselman PL, Ryzhkov AV (2013) Tornado damage estimation using polarimetric radar. Weather Forecast 28:139–158. https://doi.org/10.1175/WAF-D-11-00158.1
Bonner WD (1968) Climatology of the low level jet. Mon Weather Rev 96:833–850. https://doi.org/10.1175/1520-0493(1968)096%3c0833:COTLLJ%3e2.0.CO;2
Bringi VN, Chandrasekar V (2001) Polarimetric Doppler weather radar: principles and applications. Cambridge University Press, Cambridge
Brooks HE, Lee JW, Craven JP (2003) The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. Atmos Res 67:73–94. https://doi.org/10.1016/S0169-8095(03)00045-0
Craven JP, Brooks HE, Hart JA (2004) Baseline climatology of sounding derived parameters associated with deep, moist convection. Nat Weather Dig 28:13–24
Crowe CC, Schultz CJ, Kumjian M, Carey LD, Petersen WA (2012) Use of dual-polarization signatures in diagnosing tornadic potential. Electron J Oper Meteorol 13:57–78
Dawson DT II, Mansell ER, Jung Y, Wicker LJ, Kumjian MR, Xue M (2014) Low-level ZDR signatures in supercell forward flanks: the role of size sorting and melting of hail. J Atmos Sci 71:276–299. https://doi.org/10.1175/JAS-D-13-0118.1
Dawson DT II, Mansell ER, Kumjian MR (2015) Does wind shear cause hydrometeor size sorting? J Atmos Sci 72:340–348. https://doi.org/10.1175/JAS-D-14-0084.1
Doviak RJ, Zrnić DS (1993) Doppler radar and weather observations. Academic Press, Inc., San Diego, CA
French MM, Burgess DW, Mansell ER, Wicker LJ (2015) Bulk hook echo raindrop sizes retrieved using mobile, polarimetric Doppler radar observations. J Appl Meteorol Climatol 54(423):450. https://doi.org/10.1175/JAMC-D-14-0171.1
Fujita TT (1971) Proposed characterization of tornadoes and hurricanes by area and intensity. SMRP Research Paper Number 91. University of Chicago
Griffin CB, Bodine DJ, Palmer R (2020) Polarimetric radar observations of simultaneous tornadoes on 10 May 2010 near Norman, Oklahoma. Mon Weather Rev 148:477–497. https://doi.org/10.1175/MWR-D-19-0156.1
Helmus JJ, Collis SM (2016) The python ARM radar toolkit (Py-ART), a library for working with weather radar data in the python programming language. J Open Res Softw. https://doi.org/10.5334/jors.119
Hersbach H et al (2020) The ERA5 global reanalysis. Q J R Meteorol Soc 146:1999–2049. https://doi.org/10.1002/qj.3803
Houser JL, Bluestein HB, Snyder JC (2015) Rapid-scan, polarimetric, Doppler radar observations of tornadogenesis and tornado dissipation in a tornadic supercell: the El Reno, Oklahoma storm of 24 May 2011. Mon Weather Rev 143:2685–2710. https://doi.org/10.1175/MWR-D-14-00253.1
Houser JL, Bluestein HB, Snyder JC (2016) A finescale radar examination of the tornadic debris signature and weak-echo reflectivity band associated with a large, violent tornado. Mon Weather Rev 144:4101–4130. https://doi.org/10.1175/MWR-D-15-0408.1
Hubbert J, Bringi V (1995) An iterative filtering technique for the analysis of copolar differential phase and dual-frequency radar measurements. J Atmos Ocean Technol 12:643–648. https://doi.org/10.1175/1520-0426(1995)012%3c0643:AIFTFT%3e2.0.CO;2
Hubbert J, Bringi V, Carey L, Bolen S (1998) CSU-CHILL polarimetric radar measurements from a severe hail storm in Eastern Colorado. J Appl Meteorol 37:749–775. https://doi.org/10.1175/1520-0450(1998)037%3c0749:CCPRMF%3e2.0.CO;2
Kumjian MR (2011) Precipitation properties of supercell hook echoes. Electron J Sev Storms Meteorol 6:1–21
Kumjian MR (2013a) Principles and applications of dual-polarization weather radar. Part I: description of the polarimetric radar variables. Electron J Oper Meteorol 1:226–242. https://doi.org/10.15191/nwajom.2013.0119
Kumjian MR (2013b) Principles and applications of dual-polarization weather radar weather radar. Part II: warm-and cold-season applications. Electron J Oper Meteorol 1:243–264. https://doi.org/10.15191/nwajom.2013.0120
Kumjian MR, Ryzhkov AV (2008) Polarimetric signatures in supercell thunderstorms. J Appl Meteorol Climatol 47:1940–1961. https://doi.org/10.1175/2007JAMC1874.1
Kumjian MR, Ryzhkov AV (2009) Storm-relative helicity revealed from polarimetric radar measurements. J Atmos Sci 66:667–685. https://doi.org/10.1175/2008JAS2815.1
Kumjian MR, Ryzhkov AV, Melnikov VM, Schuur TJ (2010) Rapid-scan super-resolution observations of a cyclic supercell with a dual-polarization WSR-88D. Mon Weather Rev 138:3762–3786. https://doi.org/10.1175/2010MWR3322.1
Kumjian MR, Ganson SM, Ryzhkov AV (2012) Freezing of raindrops in deep convective updrafts: a microphysical and polarimetric model. J Atmos Sci 69:3471–3490. https://doi.org/10.1175/JAS-D-12-067.1
Kumjian MR, Khain AP, Benmoshe N, Ilotoviz E, Ryzhkov AV, Phillips VT (2014) The anatomy and physics of ZDR columns: investigating a polarimetric radar signature with a spectral bin microphysical model. J Appl Meteorol Climatol 53:1820–1843. https://doi.org/10.1175/JAMC-D-13-0354.1
Kumjian MR, Lebo ZJ, Morrison HC (2015) On the mechanisms of rain formation in an idealized supercell storm. Mon Weather Rev 143:2754–2773. https://doi.org/10.1175/MWR-D-14-00402.1
Kumjian MR, Lebo ZJ, Ward AM (2019) Storms producing large accumulations of small hail. J Appl Meteorol Climatol 58:341–364. https://doi.org/10.1175/JAMC-D-18-0073.1
Kumjian MR, Gutierrez R, Soderholm JS, Nesbitt SW, Maldonado P, Luna LM, Marquis J, Bowley KA, Imaz MA, Salio P (2020) Gargantuan hail in Argentina. Bull Am Meteorol Soc 101:E1241–E1258. https://doi.org/10.1175/BAMS-D-19-0012.1
Kurdzo JM, Bodine DJ, Cheong BL, Palmer RD (2015) High-temporal resolution polarimetric X-band Doppler radar observations of the 20 May 2013 Moore, Oklahoma, tornado. Mon Weather Rev 143:2711–2735. https://doi.org/10.1175/MWR-D-14-00357.1
Lang TJ, Ahijevyc DA, Nesbitt SW, Carbone RE, Rutledge SA, Cifelli R (2007) Radar-observed characteristics of precipitating systems during NAME 2004. J Clim 20:1713–1733. https://doi.org/10.1175/JCLI4082.1
Lemon LR, Doswell CA III (1979) Severe thunderstorm evolution and mesocyclone structure as related to tornadogenesis. Mon Weather Rev 107:1184–1197. https://doi.org/10.1175/1520-0493(1979)107%3c1184:STEAMS%3e2.0.CO;2
Li Z, Chen H, Chu H, Tan H, Chandrasekar V, Huang X, Wang S (2021) Multivariate analysis and warning of a tornado embedded in tropical cyclone in Southern China. IEEE J Sel Top Appl Earth Obs Remote Sens 14:11517–11529. https://doi.org/10.1109/JSTARS.2021.3125269
Lim S, Allabakash S, Jang B, Chandrasekar V (2018) Polarimetric radar signatures of a rare tornado event over South Korea. J Atmos Ocean Technol 35:1977–1997. https://doi.org/10.1175/JTECH-D-18-0041.1
Loeffer SD, Kumjian MR (2018) Quantifying the separation of enhanced ZDR and KDP regions in nonsupercell tornadic storms. Weather Forecast 33:1143–1157. https://doi.org/10.1175/WAF-D-18-0011.1
Loeffer SD, Kumjian MR, Jurewicz M, French MM (2020) Differentiating between tornadic and nontornadic supercells using polarimetric radar signatures of hydrometeor size sorting. Geophys Res Lett 47:1–9. https://doi.org/10.1029/2020GL088242
Loney ML, Zrnić DS, Straka JM, Ryzhkov AV (2002) Enhanced polarimetric radar signatures above the melting level in a supercell storm. J Appl Meteorol 41:1179–1194. https://doi.org/10.1175/1520-0450(2002)041%3c1179:EPRSAT%3e2.0.CO;2
Lopes MM (2020) Discriminando condições favoráveis a diferentes modos de tempo severo no leste da Bacia do Prata (in Portuguese). Master of Science Thesis, Universidade Federal de Santa Maria, Brazil
Machado LA et al (2014) The CHUVA project: how does convection vary across Brazil? Bull Am Meteorol Soc 95:1365–1380. https://doi.org/10.1175/BAMS-D-13-00084.1
Markowski PM (2002) Hook echoes and rear-flank downdrafts: a review. Mon Weather Rev 130:852–876. https://doi.org/10.1175/1520-0493(2002)130%3c0852:HEARFD%3e2.0.CO;2
Matsudo C, Salio PV (2011) Severe weather reports and proximity to deep convection over Northern Argentina. Atmos Res 100:523–537. https://doi.org/10.1016/j.atmosres.2010.11.004
McDonald JR, Mehta KC (2006) A recommendation for an Enhanced Fujita scale (EF-Scale). Wind Science and Engineering Center, Texas Tech University. Accessed 14 January 2022. https://www.spc.noaa.gov/faq/tornado/ef-ttu.pdf
Mulholland JP, Nesbitt SW, Trapp RJ (2019) A case study of terrain influences on upscale convective growth of a supercell. Mon Weather Rev 147:4305–4324. https://doi.org/10.1175/MWR-D-19-0099.1
Nascimento EL, Held G, Gomes AM (2014) A multiple-vortex tornado in Southeastern Brazil. Mon Weather Rev 142:3017–3037. https://doi.org/10.1175/MWR-D-13-00319.1
Nascimento EL, Foss M, Ferreira V, Brooks HE (2016) An updated and expanded climatology of severe weather parameters for subtropical South America as derived from upper air observations and CFSR-CFSv2 data. In: Proceedings of 28th conference on severe local storms, American Meteorological Society, Portland. Accessed 14 January 2022. https://ams.confex.com/ams/28SLS/webprogram/Paper300887.html
Nesbitt SW et al (2021) A storm safari in subtropical South America: proyecto RELAMPAGO. Bull Am Meteorol Soc. https://doi.org/10.1175/BAMS-D-20-0029.1
Oliveira MI, Nascimento EL, Kannenberg C (2018) A new look at the identification of low-level jets in South America. Mon Weather Rev 146:2315–2334. https://doi.org/10.1175/MWR-D-17-0237.1
Oliveira MI, Puhales FS, Nascimento EL, Anabor V (2022) Integrated damage, visual, remote sensing, and environmental analysis of a strong tornado in Southern Brazil. Atmos Res 274:106–188. https://doi.org/10.1016/j.atmosres.2022.106188
Palmer RD, Bodine D, Kumjian M, Cheong B, Zhang G, Cao Q, Bluestein HB, Ryzhkov A, Yu TY, Wang Y (2011) Observations of the 10 May 2010 tornado outbreak using OU-PRIME: potential for new science with high-resolution polarimetric radar. Bull Am Meteorol Soc 92:871–891. https://doi.org/10.1175/2011BAMS3125.1
Payne CD, Schuur TJ, MacGorman DR, Biggerstaff MI, Kuhlman KM, Rust WD (2010) Polarimetric and electrical characteristics of a lightning ring in a supercell storm. Mon Weather Rev 138:2405–2425. https://doi.org/10.1175/2009MWR3210.1
Pereira Filho A, Vemado F, Karam H (2019) Evidence of tornadoes and microbursts in São Paulo State, Brazil: a synoptic and mesoscale analysis. Pure Appl Geophys 176:5079–5106. https://doi.org/10.1007/s00024-019-02276-3
Picca JC, Ryzhkov A (2010) Polarimetric signatures of melting hail at S and C bands: detection and short-term forecast. In: Preprints, 26th conference on interactive information and processing systems, Atlanta, GA. American Meteorological Society. Accessed 14 January 2022. https://ams.confex.com/ams/pdfpapers/161240.pdf
Picca J, Ryzhkov A (2012) A dual-wavelength polarimetric analysis of the 16 May 2010 Oklahoma City extreme hailstorm. Mon Weather Rev 140:1385–1403. https://doi.org/10.1175/MWR-D-11-00112.1
Potts SL, Agee EM (2002) Multiple vortex phenomena in thunderstorms and tornadoes: three scales for multiple vortices. In: Proceedings of 21st conference on severe local storms, San Antonio, TX. American Meteorological Society. Accessed 14 January 2022. https://ams.confex.com/ams/SLS_WAF_NWP/techprogram/paper_45354.htm
Pruppacher HR, Pitter R (1971) A semi-empirical determination of the shape of cloud and rain drops. J Atmos Sci 28:86–94. https://doi.org/10.1175/1520-0469(1971)028%3c0086:ASEDOT%3e2.0.CO;2
Rasmussen EM (2003) Refined supercell and tornado forecast parameters. Weather Forecast 18:530–535. https://doi.org/10.1175/1520-0434(2003)18%3c530:RSATFP%3e2.0.CO;2
Rasmussen EN, Blanchard DO (1998) A baseline climatology of sounding-derived supercell and tornado forecast parameters. Weather Forecast 13:1148–1164. https://doi.org/10.1175/1520-0434(1998)013%3c1148:ABCOSD%3e2.0.CO;2
Rasmussen KL, Houze RA (2011) Orogenic convection in subtropical South America as seen by the TRMM satellite. Mon Weather Rev 139:2399–2420. https://doi.org/10.1175/MWR-D-10-05006.1
Rauber RM, Nesbitt SW (2018) Radar meteorology: a first course. Wiley, Hoboken
Ribeiro BZ, Machado LA, Ch JHH, Biscaro TS, Freitas ED, Mozer KW, Goodman SJ (2019) An evaluation of the GOES-16 rapid scan for nowcasting in southeastern Brazil: analysis of a severe hailstorm case. Weather Forecast 34:1829–1848. https://doi.org/10.1175/WAF-D-19-0070.1
Romine GS, Burgess DW, Wilhelmson RB (2008) A dual-polarization-radar-based assessment of the 8 May 2003 Oklahoma city area tornadic supercell. Mon Weather Rev 136:2849–2870. https://doi.org/10.1175/2008MWR2330.1
Ryzhkov AV, Burgess D, Zrnić D, Smith T, Giangrande S (2002) Polarimetric analysis of a 3 May 1999 tornado. In: Preprints, 21st conference on severe local storms, San Antonio, TX. American Meteorological Society. Accessed 14 January 2022. https://ams.confex.com/ams/pdfpapers/47348.pdf
Ryzhkov AV, Schuur TJ, Burgess DW, Zrnić DS (2005) Polarimetric tornado detection. J Appl Meteorol 44:557–570. https://doi.org/10.1175/JAM2235.1
Ryzhkov AV, Kumjian MR, Ganson SM, Khain AP (2013) Polarimetric radar characteristics of melting hail. Part I: theoretical simulations using spectral microphysical modeling. J Appl Meteorol Climatol 52:2849–2870. https://doi.org/10.1175/JAMC-D-13-073.1
Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Behringer D, Hou YT, Chuang HY, Iredell M, Ek M, Meng J, Yang R, Mendez MP, Dool H, Zhang Q, Wang W, Chen M, Becker E (2014) The NCEP climate forecast system version 2. J Clim 27:2185–2208. https://doi.org/10.1175/JCLI-D-12-00823.1
SEDEC, 2015. Formulário de Informações do Desastre Protocolo PR-F-4114609-13211-20151119. Tech. rep. Secretaria Nacional de Proteção e Defesa Civil, Ministério do Desenvolvimento Nacional (in Portuguese). Accessed 14 January 2022. https://cdn.labtrans.ufsc.br/s2id/PR/PR-F-4114609-13211-20151119.pdf
Seluchi ME, Saulo AC (2012) Baixa do Noroeste Argentino e baixa do Chaco: caracterísitcas, diferenças e semelhanças. Rev Bras Meteorol 27:49–60. https://doi.org/10.1590/S0102-77862012000100006
Seluchi ME, Saulo AC, Nicolini M, Satyamurty P (2003) The northwestern Argentinean low: a study of two typical events. Mon Weather Rev 131:2361–2378. https://doi.org/10.1175/1520-0493(2003)131%3c2361:TNALAS%3e2.0.CO;2
Silva Dias MAF (2011) An increase in the number of tornado reports in Brazil. Weather Clim Soc 3(209):217. https://doi.org/10.1175/2011WCAS1095.1
Snyder JC, Bluestein HB, Venkatesh V, Frasier SJ (2013) Observations of polarimetric signatures in supercells by an X-band mobile Doppler radar. Mon Weather Rev 141:3–29. https://doi.org/10.1175/MWR-D-12-00068.1
Snyder JC, Ryzhkov AV, Kumjian MR, Khain AP, Picca J (2015) A ZDR column detection algorithm to examine convective storm updrafts. Weather Forecast 30:1819–1844. https://doi.org/10.1175/WAF-D-15-0068.1
Snyder JC, Bluestein HB, Dawson DT II, Jung Y (2017a) Simulations of polarimetric, X-band radar signatures in supercells. Part I: description of experiment and simulated ρhv rings. J Appl Meteorol Climatol 56:1977–1999
Snyder JC, Bluestein HB, Dawson DT II, Jung Y (2017b) Simulations of polarimetric, X-band radar signatures in supercells. Part II: ZDR columns and rings and KDP columns. J Appl Meteorol Climatol 56:2001–2026. https://doi.org/10.1175/JAMC-D-16-0139.1
Straka JM, Zrnić DS, Ryzhkov AV (2000) Bulk hydrometeor classification and quantification using polarimetric radar data: synthesis of relations. J Appl Meteorol Climatol 39:1341–1372. https://doi.org/10.1175/1520-0450(2000)039%3c1341:BHCAQU%3e2.0.CO;2
Suzuki SI, Maesaka T, Iwanami K, Shimizu S, Kieda K (2018) X-band dual-polarization radar observations of the supercell storm that generated an F3 tornado on 6 May 2012 in Ibaraki Prefecture, Japan. J Meteorol Soc Jpn Ser II. https://doi.org/10.2151/jmsj.2017-019
Tanamachi RL, Heinselman PL (2016) Rapid-scan, polarimetric observations of central Oklahoma severe storms on 31 May 2013. Weather Forecast 31:19–42. https://doi.org/10.1175/WAF-D-15-0111.1
Tanamachi RL, Bluestein HB, Houser JB, Frasier SJ, Hardwick KM (2012) Mobile, X-band, polarimetric Doppler radar observations of the 4 May 2007 Greensburg, Kansas, tornadic supercell. Mon Weather Rev 140:2103–2125. https://doi.org/10.1175/MWR-D-11-00142.1
Thompson RL, Edwards R, Hart JA, Elmore KL, Markowski P (2003) Close proximity soundings within supercell environments obtained from the Rapid Update Cycle. Weather Forecast 18:1243–1261. https://doi.org/10.1175/1520-0434(2003)018%3c1243:CPSWSE%3e2.0.CO;2
Torres SM, Dubel YF, Zrnić DS (2004) Design, implementation, and demonstration of a staggered PRT algorithm for the WSR-88D. J Atmos Ocean Technol 21:1389–1399. https://doi.org/10.1175/1520-0426(2004)021%3c1389:DIADOA%3e2.0.CO;2
Trapp RJ, Kosiba KA, Marquis JN, Kumjian MR, Nesbitt SW, Wurman J, Salio P, Grover MA, Robinson P, Hence DA (2020) Multiple-platform and multiple-Doppler radar observations of a supercell thunderstorm in South America during RELAMPAGO. Mon Weather Rev 148:3225–3241. https://doi.org/10.1175/MWR-D-20-0125.1
Umehara A, Adachi T, Mahiko W, Yamauchi H (2021) Analysis of the tornadic debris signatures of the Ichihara tornado in a typhoon environment using two operational C-band dual-polarization weather radars. Sci Online Lett Atmos. https://doi.org/10.2151/sola.2021-034
Van Den Broeke MS (2017) Polarimetric radar metrics related to tornado life cycles and intensity in supercell storms. Mon Weather Rev 145:3671–3686. https://doi.org/10.1175/MWR-D-16-0453.1
Van Den Broeke MS, Straka JM, Rasmussen EM (2008) Polarimetric radar observations at low levels during tornado life cycles in a small sample of classic southern plains supercells. J Appl Meteorol Climatol 47:1232–1247. https://doi.org/10.1175/2007JAMC1714.1
Vivekanandan J, Zrnić DS, Ellis S, Oye R, Ryzhkov AV, Straka J (1999) Cloud microphysics retrieval using S-band dual-polarization radar measurements. Bull Am Meteorol Soc 80:381–388. https://doi.org/10.1175/1520-0477(1999)080%3c0381:CMRUSB%3e2.0.CO;2
Wurman J (2002) The multiple-vortex structure of a tornado. Weather Forecast 17:473–505. https://doi.org/10.1175/1520-0434(2002)017%3c0473:TMVSOA%3e2.0.CO;2
Wurman J, Kosiba K (2013) Finescale radar observations of tornado and mesocyclone structures. Weather Forecast 28:1157–1174. https://doi.org/10.1175/WAF-D-12-00127.1
Wurman J, Richardson Y, Alexander C, Weygandt S, Zhang PF (2007) Dual-Doppler and single-Doppler analysis of a tornadic storm undergoing mergers and repeated tornadogenesis. Mon Weather Rev 135:736–758. https://doi.org/10.1175/MWR3276.1
Wurman J, Kosiba K, Robinson P, Marshall T (2014) The role of multiple-vortex tornado structure in causing storm researcher fatalities. Bull Am Meteorol Soc 95:31–45. https://doi.org/10.1175/BAMS-D-13-00221.1
Zhang J, Zhang C, Ge Y, Zhu J (2018) Characteristics of X-band dual-polarization Doppler radar products during strong tornado around typhoon Mujigae in Foshan. Meteorol Sci Technol 46:163–169. https://doi.org/10.19517/j.1671-6345.20170094
Zrnić DS, Mahapatra P (1985) Two methods of ambiguity resolution in pulse Doppler weather radars AES21. IEEE Trans Aerosp Electron Syst. https://doi.org/10.1109/TAES.1985.310635
Zrnić DS, Ryzhkov AV (1999) Polarimetry for weather surveillance radars. Bull Am Meteorol Soc 80:389–406
Acknowledgements
This study is part of the first author’s doctoral research and second author’s master of science research at the Graduate Program in Meteorology of the Universidade Federal de Santa Maria (UFSM), in Brazil, funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, in Portuguese) from the Brazilian Ministry of Education. The authors would like to thank the Sistema de Tecnologia e Monitoramento Ambiental do Paraná (SIMEPAR) for making available the radar and surface data used in this study. The authors are grateful to the anonymous reviewers for their constructive comments and suggestions that lead to the improvement of the manuscript. The authors also wish to thank the Paraná Civil Defense System for providing damage reports. Discussions with Wendell Rondinelli Farias Gomes, Maurício Ilha de Oliveria and Murilo Machado Lopes helped enrich this work.
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Ferreira, V., Goede, V. & de Lima Nascimento, E. An environmental and polarimetric study of the 19 November 2015 supercell and multiple-vortex tornado in Marechal Cândido Rondon, southern Brazil. Meteorol Atmos Phys 134, 82 (2022). https://doi.org/10.1007/s00703-022-00922-5
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DOI: https://doi.org/10.1007/s00703-022-00922-5