TY - JOUR
T1 - The evolution of hail production in simulated supercell storms
AU - Kumjian, Matthew R.
AU - Lombardo, Kelly
AU - Loeffler, Scott
N1 - Funding Information:
Funding for this work is from the National Science Foundation Grants AGS-1661679 and AGS-1855063, as well as an award from the Insurance Institute for Business and Home Safety (IBHS). We are also grateful for discussions with Yuzhu Lin (PSU), Ian Giammanco (IBHS), Charlie Knight (NCAR), Rebecca Adams-Selin (AER), Conrad Ziegler (NSSL), and John Allen (CMU). The excellent and constructive reviews from the three anonymous reviewers significantly improved the quality and clarity of this manuscript. Finally, the authors thank Dr. George Bryan for his continued development and improvements of CM1.
Funding Information:
Acknowledgments. Funding for this work is from the National Science Foundation Grants AGS-1661679 and AGS-1855063, as well as an award from the Insurance Institute for Business and Home Safety (IBHS). We are also grateful for discussions with Yuzhu Lin (PSU), Ian Giammanco (IBHS), Charlie Knight (NCAR), Rebecca Adams-Selin (AER), Conrad Ziegler (NSSL), and John Allen (CMU). The excellent and constructive reviews from the three anonymous reviewers significantly improved the quality and clarity of this manuscript. Finally, the authors thank Dr. George Bryan for his continued development and improvements of CM1.
Publisher Copyright:
© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
PY - 2021/11
Y1 - 2021/11
N2 - Hailstorms pose a significant socioeconomic risk, necessitating detailed assessments of how the hail threat changes throughout their lifetimes. Hail production involves the favorable juxtaposition of ingredients, but how storm evolution affects these ingredients is unknown, limiting understanding of how hail production evolves. Unfortunately, neither surface hail reports nor radar-based swath estimates have adequate resolution or details needed to assess evolving hail production. Instead, we use a novel approach of coupling a detailed hail trajectory model to idealized convective storm simulations to better understand storm evolution's influence on hail production. Hail production varies substantially throughout storms' mature phases: maximum sizes vary by a factor of 2 and the concentration of severe hail by more than fivefold during 45-60-min periods. This variability arises from changes in updraft properties, which come from (i) changes in low-level convergence and (ii) internal storm dynamics, including anticyclonic vortex shedding/storm splitting, and the response of the updraft's airflow and supercooled liquid water content to these events. Hodograph shape strongly affects such behaviors. Straighter hodographs lead to more prolific hail production through wider updrafts and weaker mesocyclones and a periodicity in hail size metrics associated with anticyclonic vortex shedding and/or storm splitting. In contrast, a curved hodograph (favorable for tornadoes) led to a storm with a stronger but more compact updraft, which occasionally produced giant (10-cm) hail but that was a less-prolific severe hail producer overall. Unless storms are adequately sampled throughout their life cycles, snapshots from ground reports will insufficiently resolve the true nature of hail production.
AB - Hailstorms pose a significant socioeconomic risk, necessitating detailed assessments of how the hail threat changes throughout their lifetimes. Hail production involves the favorable juxtaposition of ingredients, but how storm evolution affects these ingredients is unknown, limiting understanding of how hail production evolves. Unfortunately, neither surface hail reports nor radar-based swath estimates have adequate resolution or details needed to assess evolving hail production. Instead, we use a novel approach of coupling a detailed hail trajectory model to idealized convective storm simulations to better understand storm evolution's influence on hail production. Hail production varies substantially throughout storms' mature phases: maximum sizes vary by a factor of 2 and the concentration of severe hail by more than fivefold during 45-60-min periods. This variability arises from changes in updraft properties, which come from (i) changes in low-level convergence and (ii) internal storm dynamics, including anticyclonic vortex shedding/storm splitting, and the response of the updraft's airflow and supercooled liquid water content to these events. Hodograph shape strongly affects such behaviors. Straighter hodographs lead to more prolific hail production through wider updrafts and weaker mesocyclones and a periodicity in hail size metrics associated with anticyclonic vortex shedding and/or storm splitting. In contrast, a curved hodograph (favorable for tornadoes) led to a storm with a stronger but more compact updraft, which occasionally produced giant (10-cm) hail but that was a less-prolific severe hail producer overall. Unless storms are adequately sampled throughout their life cycles, snapshots from ground reports will insufficiently resolve the true nature of hail production.
UR - http://www.scopus.com/inward/record.url?scp=85117382294&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117382294&partnerID=8YFLogxK
U2 - 10.1175/JAS-D-21-0034.1
DO - 10.1175/JAS-D-21-0034.1
M3 - Article
AN - SCOPUS:85117382294
SN - 0022-4928
VL - 78
SP - 3417
EP - 3440
JO - Journals of the Atmospheric Sciences
JF - Journals of the Atmospheric Sciences
IS - 11
ER -