The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project

Karen A. Kosiba; Anthony W. Lyza; Robert J. Trapp; Erik N. Rasmussen; Matthew Parker; Michael I. Biggerstaff; Stephen W. Nesbitt; Christopher C. Weiss; Joshua Wurman; Kevin R. Knupp; Brice Coffer; Vanna C. Chmielewski; Daniel T. Dawson; Eric Bruning; Tyler M. Bell; Michael C. Coniglio; Todd A. Murphy; Michael French; Leanne Blind-Doskocil; Anthony E. Reinhart; Edward Wolff; Morgan E. Schneider; Miranda Silcott; Elizabeth Smith; Joshua Aikins; Melissa Wagner; Paul Robinson; James M. Wilczak; Trevor White; Madeline R. Diedrichsen; David Bodine; Matthew R. Kumjian; Sean M. Waugh; A. Addison Alford; Kim Elmore; Pavlos Kollias; David D. Turner

doi:10.1175/BAMS-D-22-0064.1

The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project

Karen A. Kosiba, Anthony W. Lyza, Robert J. Trapp, Erik N. Rasmussen, Matthew Parker, Michael I. Biggerstaff, Stephen W. Nesbitt, Christopher C. Weiss, Joshua Wurman, Kevin R. Knupp, Brice Coffer, Vanna C. Chmielewski, Daniel T. Dawson, Eric Bruning, Tyler M. Bell, Michael C. Coniglio, Todd A. Murphy, Michael French, Leanne Blind-Doskocil, Anthony E. ReinhartEdward Wolff, Morgan E. Schneider, Miranda Silcott, Elizabeth Smith, Joshua Aikins, Melissa Wagner, Paul Robinson, James M. Wilczak, Trevor White, Madeline R. Diedrichsen, David Bodine, Matthew R. Kumjian, Sean M. Waugh, A. Addison Alford, Kim Elmore, Pavlos Kollias, David D. Turner

Research output: Contribution to journal › Article › peer-review

Abstract

Quasi-linear convective systems (QLCSs) are responsible for approximately a quarter of all tornado events in the United States, but no field campaigns have focused specifically on collecting data to understand QLCS tornadogenesis. The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) project was the first observational study of tornadoes associated with QLCSs ever undertaken. Participants were drawn from more than 10 universities, laboratories, and institutes, with over 100 students participating in field activities. The PERiLS field phases spanned 2 years, late winters and early springs of 2022 and 2023, to increase the probability of intercepting significant tornadic QLCS events in a range of large-scale and local environments. The field phases of PERiLS collected data in nine tornadic and nontornadic QLCSs with unprecedented detail and diversity of measurements. The design and execution of the PERiLS field phase and preliminary data and ongoing analyses are shown.

Original language	English (US)
Pages (from-to)	E1768-E1799
Journal	Bulletin of the American Meteorological Society
Volume	105
Issue number	10
DOIs	https://doi.org/10.1175/BAMS-D-22-0064.1
State	Published - Oct 2024

Keywords

forecasting
Mesoscale
processes
Severe storms
Squall lines
Storm environments
Tornadoes

ASJC Scopus subject areas

Atmospheric Science

Online availability

10.1175/BAMS-D-22-0064.1

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Kosiba, K. A., Lyza, A. W., Trapp, R. J., Rasmussen, E. N., Parker, M., Biggerstaff, M. I., Nesbitt, S. W., Weiss, C. C., Wurman, J., Knupp, K. R., Coffer, B., Chmielewski, V. C., Dawson, D. T., Bruning, E., Bell, T. M., Coniglio, M. C., Murphy, T. A., French, M., Blind-Doskocil, L., ... Turner, D. D. (2024). The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project. Bulletin of the American Meteorological Society, 105(10), E1768-E1799. https://doi.org/10.1175/BAMS-D-22-0064.1

Kosiba, KA, Lyza, AW, Trapp, RJ, Rasmussen, EN, Parker, M, Biggerstaff, MI, Nesbitt, SW, Weiss, CC, Wurman, J, Knupp, KR, Coffer, B, Chmielewski, VC, Dawson, DT, Bruning, E, Bell, TM, Coniglio, MC, Murphy, TA, French, M, Blind-Doskocil, L, Reinhart, AE, Wolff, E, Schneider, ME, Silcott, M, Smith, E, Aikins, J, Wagner, M, Robinson, P, Wilczak, JM, White, T, Diedrichsen, MR, Bodine, D, Kumjian, MR, Waugh, SM, Alford, AA, Elmore, K, Kollias, P & Turner, DD 2024, 'The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project', Bulletin of the American Meteorological Society, vol. 105, no. 10, pp. E1768-E1799. https://doi.org/10.1175/BAMS-D-22-0064.1

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title = "The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project",

abstract = "Quasi-linear convective systems (QLCSs) are responsible for approximately a quarter of all tornado events in the United States, but no field campaigns have focused specifically on collecting data to understand QLCS tornadogenesis. The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) project was the first observational study of tornadoes associated with QLCSs ever undertaken. Participants were drawn from more than 10 universities, laboratories, and institutes, with over 100 students participating in field activities. The PERiLS field phases spanned 2 years, late winters and early springs of 2022 and 2023, to increase the probability of intercepting significant tornadic QLCS events in a range of large-scale and local environments. The field phases of PERiLS collected data in nine tornadic and nontornadic QLCSs with unprecedented detail and diversity of measurements. The design and execution of the PERiLS field phase and preliminary data and ongoing analyses are shown.",

keywords = "forecasting, Mesoscale, processes, Severe storms, Squall lines, Storm environments, Tornadoes",

author = "Kosiba, {Karen A.} and Lyza, {Anthony W.} and Trapp, {Robert J.} and Rasmussen, {Erik N.} and Matthew Parker and Biggerstaff, {Michael I.} and Nesbitt, {Stephen W.} and Weiss, {Christopher C.} and Joshua Wurman and Knupp, {Kevin R.} and Brice Coffer and Chmielewski, {Vanna C.} and Dawson, {Daniel T.} and Eric Bruning and Bell, {Tyler M.} and Coniglio, {Michael C.} and Murphy, {Todd A.} and Michael French and Leanne Blind-Doskocil and Reinhart, {Anthony E.} and Edward Wolff and Schneider, {Morgan E.} and Miranda Silcott and Elizabeth Smith and Joshua Aikins and Melissa Wagner and Paul Robinson and Wilczak, {James M.} and Trevor White and Diedrichsen, {Madeline R.} and David Bodine and Kumjian, {Matthew R.} and Waugh, {Sean M.} and Alford, {A. Addison} and Kim Elmore and Pavlos Kollias and Turner, {David D.}",

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AU - Kosiba, Karen A.

AU - Lyza, Anthony W.

AU - Trapp, Robert J.

AU - Rasmussen, Erik N.

AU - Parker, Matthew

AU - Biggerstaff, Michael I.

AU - Nesbitt, Stephen W.

AU - Weiss, Christopher C.

AU - Wurman, Joshua

AU - Knupp, Kevin R.

AU - Coffer, Brice

AU - Chmielewski, Vanna C.

AU - Dawson, Daniel T.

AU - Bruning, Eric

AU - Bell, Tyler M.

AU - Coniglio, Michael C.

AU - Murphy, Todd A.

AU - French, Michael

AU - Blind-Doskocil, Leanne

AU - Reinhart, Anthony E.

AU - Wolff, Edward

AU - Schneider, Morgan E.

AU - Silcott, Miranda

AU - Smith, Elizabeth

AU - Aikins, Joshua

AU - Wagner, Melissa

AU - Robinson, Paul

AU - Wilczak, James M.

AU - White, Trevor

AU - Diedrichsen, Madeline R.

AU - Bodine, David

AU - Kumjian, Matthew R.

AU - Waugh, Sean M.

AU - Alford, A. Addison

AU - Elmore, Kim

AU - Kollias, Pavlos

AU - Turner, David D.

PY - 2024/10

Y1 - 2024/10

N2 - Quasi-linear convective systems (QLCSs) are responsible for approximately a quarter of all tornado events in the United States, but no field campaigns have focused specifically on collecting data to understand QLCS tornadogenesis. The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) project was the first observational study of tornadoes associated with QLCSs ever undertaken. Participants were drawn from more than 10 universities, laboratories, and institutes, with over 100 students participating in field activities. The PERiLS field phases spanned 2 years, late winters and early springs of 2022 and 2023, to increase the probability of intercepting significant tornadic QLCS events in a range of large-scale and local environments. The field phases of PERiLS collected data in nine tornadic and nontornadic QLCSs with unprecedented detail and diversity of measurements. The design and execution of the PERiLS field phase and preliminary data and ongoing analyses are shown.

AB - Quasi-linear convective systems (QLCSs) are responsible for approximately a quarter of all tornado events in the United States, but no field campaigns have focused specifically on collecting data to understand QLCS tornadogenesis. The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) project was the first observational study of tornadoes associated with QLCSs ever undertaken. Participants were drawn from more than 10 universities, laboratories, and institutes, with over 100 students participating in field activities. The PERiLS field phases spanned 2 years, late winters and early springs of 2022 and 2023, to increase the probability of intercepting significant tornadic QLCS events in a range of large-scale and local environments. The field phases of PERiLS collected data in nine tornadic and nontornadic QLCSs with unprecedented detail and diversity of measurements. The design and execution of the PERiLS field phase and preliminary data and ongoing analyses are shown.

KW - forecasting

KW - Mesoscale

KW - processes

KW - Severe storms

KW - Squall lines

KW - Storm environments

KW - Tornadoes

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SP - E1768-E1799

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

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ER -

The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project

Abstract

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