TY - JOUR
T1 - The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) Project
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.
N1 - Acknowledgments. PERiLS was supported by NSF Grants AGS-2020462 and AGS-2113207 and NOAA\u2019s VORTEX-USA program, including Grants NA21OAR4590151, NA21OAR4590323, and NA21OAR4590324, and under NOAA\u2013University of Oklahoma Cooperative Agreement NA21OAR4320204, U.S. Department of Commerce. The PERiLS field campaign was a collaborative effort among scientists, engineers, technicians, students, administrators, and forecasters. The National Science Foundation and the National Oceanographic and Atmospheric Administration provided major support for PERiLS and for the preparation of this manuscript. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of NOAA or the U.S. Department of Commerce.
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
UR - https://www.scopus.com/pages/publications/85206015787
UR - https://www.scopus.com/pages/publications/85206015787#tab=citedBy
U2 - 10.1175/BAMS-D-22-0064.1
DO - 10.1175/BAMS-D-22-0064.1
M3 - Article
AN - SCOPUS:85206015787
SN - 0003-0007
VL - 105
SP - E1768-E1799
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 10
ER -