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Jami B. Boettcher
and
Evan S. Bentley

structure as related to tornadogenesis . Mon. Wea. Rev. , 107 , 1184 – 1197 , https://doi.org/10.1175/1520-0493(1979)107<1184:STEAMS>2.0.CO;2 . 10.1175/1520-0493(1979)107<1184:STEAMS>2.0.CO;2 Nai , F. , J. Boettcher , C. Curtis , D. Schvartzman , and S. Torres , 2020 : The impact of elevation sidelobe contamination on radar data quality for operational interpretation . J. Appl. Meteor. Climatol. , 59 , 707 – 724 , https://doi.org/10.1175/JAMC-D-19-0092.1 . 10.1175/JAMC-D-19

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Thomas Jones
,
Ravan Ahmadov
,
Eric James
,
Gabriel Pereira
,
Saulo Freitas
, and
Georg Grell

. Bruning , 2010 : Simulated electrification of a small thunderstorm with two-moment bulk microphysics . J. Atmos. Sci. , 67 , 171 – 194 , https://doi.org/10.1175/2009JAS2965.1 . 10.1175/2009JAS2965.1 McRae , R. H. , J. J. Sharples , S. R. Wilkes , and A. Walker , 2013 : An Australian pyro-tornadogenesis event . Nat. Hazards , 65 , 1801 – 1811 , https://doi.org/10.1007/s11069-012-0443-7 . 10.1007/s11069-012-0443-7 Melnikov , V. , D. Zrnić , and R. Rabin , 2009

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Anna del Moral Méndez
,
Tammy M. Weckwerth
,
Rita D. Roberts
, and
James W. Wilson

E. V. Johnson , 2008 : Spring and summer severe weather reports over the Midwest as a function of convective mode: A preliminary study . Wea. Forecasting , 23 , 101 – 113 , https://doi.org/10.1175/2007WAF2006120.1 . Goodnight , J. S. , D. A. Chehak , and R. J. Trapp , 2022 : Quantification of QLCS tornadogenesis, associated characteristics, and environments across a large sample . Wea. Forecasting , 37 , 2087 – 2105 , https://doi.org/10.1175/WAF-D-22-0016.1 . Grasmick

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Stanley B. Trier
,
David A. Ahijevych
,
Dereka Carroll-Smith
,
George H. Bryan
, and
Roger Edwards

, and T. Kato , 2009 : Numerical simulation of tornadogenesis in an outer-rainband minisupercell of Typhoon Shanshan on 17 September 2006 . Mon. Wea. Rev. , 137 , 4238 – 4260 , https://doi.org/10.1175/2009MWR2959.1 . McCaul , E. W. , Jr. , 1991 : Buoyancy and shear characteristics of hurricane-tornado environments . Mon. Wea. Rev. , 119 , 1954 – 1978 , https://doi.org/10.1175/1520-0493(1991)119<1954:BASCOH>2.0.CO;2 . McCaul , E. W. , Jr. , and M. L. Weisman , 1996

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Kevin C. Thiel
,
Kristin M. Calhoun
, and
Anthony E. Reinhart

prior to tornadogenesis was the only instance where flash rates from GLM17 increased slightly in tandem with GLM16 and ENTLN. All three MRMS variables also remained elevated until the end of the third tornado at 2026 UTC. Through the 270-min study of the supercell, GLM16 recorded 168% more flashes than GLM17. When accumulating the optical energy from all of the flashes from each sensor, GLM16 recorded 27% more optical energy than GLM17, which means that GLM17 observed 112% more optical energy per

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K. J. Tory
and
J. D. Kepert

-convection . Int. J. Wildland Fire , 18 , 554 – 562 , https://doi.org/10.1071/WF07035 . 10.1071/WF07035 McRae , R. H. D. , J. J. Sharples , S. R. Wilkes , and A. Walker , 2012 : An Australian pyro-tornadogenesis event . Nat. Hazards , 65 , 1801 – 1811 , https://doi.org/10.1007/s11069-012-0443-7 . 10.1007/s11069-012-0443-7 McRae , R. H. D. , J. J. Sharples , and M. Fromm , 2015 : Linking local wildfire dynamics to pyroCb development . Nat. Hazards Earth Syst. Sci. , 15 , 417 – 428

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Cameron J. Nixon
and
John T. Allen

structure as related to tornadogenesis . Mon. Wea. Rev. , 107 , 1184 – 1197 , https://doi.org/10.1175/1520-0493(1979)107<1184:STEAMS>2.0.CO;2 . 10.1175/1520-0493(1979)107<1184:STEAMS>2.0.CO;2 Maddox , R. A. , 1976 : An evaluation of tornado proximity wind and stability data . Mon. Wea. Rev. , 104 , 133 – 142 , https://doi.org/10.1175/1520-0493(1976)104<0133:AEOTPW>2.0.CO;2 . 10.1175/1520-0493(1976)104<0133:AEOTPW>2.0.CO;2 Markowski , P. , C. Hannon , J. Frame , E. Lancaster

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Keith D. Sherburn
and
Matthew D. Parker

simulations of marginally unstable environments, steeper LLLRs corresponded to stronger convection when compared to modest LLLRs. Additionally, in the eastern United States, where elevated mixed layers are rare compared to the plains, steep LR75s have shown high correlation with significant severe weather outbreaks ( Banacos and Ekster 2010 ). Other studies have noted that steep lapse rates corresponded to a greater likelihood of tornadogenesis ( Godfrey et al. 2004 ; Parker 2012 ) and damaging winds

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Joseph T. Schaefer

conceptual theory of tornadogenesis based on macro-, meso- and microscale processes. Preprints, Ninth Conf. on Severe Local Storms, Norman, Amer. Meteor. Soc., 376-383.Darkow, G. L., 1969: An analysis of over sixty tornado proximity soundings. Preprints, Sixth Conf. on Severe Local Storms, Chi cago, Amer. Meteor. Soc., 218-221.David, C. L., 1977: A study of synoptic conditions associated with New England tornadoes. Preprints, Tenth Conf. on Severe Local Storms, Omaha, Amer. Meteor. Soc

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Howard B. Bluestein

the radar-observed process of cyclic tornado production, the following intriguing concurrent satellite observation is noted. At the time the cyclic tornadogenesis began, a thin line of cloud at the cirrus level and apparent in the visible satellite imagery ( Fig. 14 ) was noted extending from storm N southwestward through the Texas Panhandle into southeastern New Mexico. This line did not coincide with the location of the dryline as it was retreating westward ( Figs. 2c and 2d ). Cell N at 0130

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