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 - Publisher Copyright:
© 2024 American Meteorological Society.
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.
UR - http://www.scopus.com/inward/record.url?scp=85206015787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85206015787&partnerID=8YFLogxK
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 -