TY - JOUR
T1 - Investigating the Relationship between Polarimetric Radar Signatures of Hydrometeor Size Sorting and Tornadic Potential in Simulated Supercells
AU - Loeffler, Scott D.
AU - Kumjian, Matthew Robert
AU - Markowski, Paul M.
AU - Coffer, Brice E.
AU - Parker, Matthew D.
N1 - Funding Information:
Acknowledgments. The authors thank the members of the Penn State RADAR group and Yvette Richardson for their helpful comments and suggestions throughout this work. Funding for Authors Loeffler and Kumjian was provided by the VORTEX-SE program under Award NA19OAR4590222. Authors Coffer and Parker’s efforts were supported by the National Oceanic and Atmospheric Administration (NOAA) Grant NA19OAR4590341 and by NSF Grant AGS-2130936. We would also like to thank three anonymous reviewers for their helpful comments and suggestions for improving this manuscript. The views of the lead author do not necessarily reflect the views of the U.S. Navy.
Publisher Copyright:
© 2023 American Meteorological Society.
PY - 2023/7
Y1 - 2023/7
N2 - The national upgrade of the operational weather radar network to include polarimetric capabilities has led to numerous studies focusing on polarimetric radar signatures commonly observed in supercells. One such signature is the horizontal separation of regions of enhanced differential reflectivity (ZDR) and specific differential phase (KDP) values due to hydrometeor size sorting. Recent observational studies have shown that the orientation of this separation tends to be more perpendicular to storm motion in supercells that produce tornadoes. Although this finding has potential operational utility, the physical relationship between this observed radar signature and tornadic potential is not known. This study uses an ensemble of supercell simulations initialized with tornadic and nontornadic environments to investigate this connection. The tendency for tornadic supercells to have a more perpendicular separation orientation was reproduced, although to a lesser degree. This difference in orientation angles was caused by stronger rearward storm-relative flow in the nontornadic supercells, leading to a rearward shift of precipitation and, therefore, the enhanced KDP region within the supercell. Further, this resulted in an unfavorable rearward shift of the negative buoyancy region, which led to an order of magnitude less baroclinic generation of circulation in the nontornadic simulations compared to tornadic simulations.
AB - The national upgrade of the operational weather radar network to include polarimetric capabilities has led to numerous studies focusing on polarimetric radar signatures commonly observed in supercells. One such signature is the horizontal separation of regions of enhanced differential reflectivity (ZDR) and specific differential phase (KDP) values due to hydrometeor size sorting. Recent observational studies have shown that the orientation of this separation tends to be more perpendicular to storm motion in supercells that produce tornadoes. Although this finding has potential operational utility, the physical relationship between this observed radar signature and tornadic potential is not known. This study uses an ensemble of supercell simulations initialized with tornadic and nontornadic environments to investigate this connection. The tendency for tornadic supercells to have a more perpendicular separation orientation was reproduced, although to a lesser degree. This difference in orientation angles was caused by stronger rearward storm-relative flow in the nontornadic supercells, leading to a rearward shift of precipitation and, therefore, the enhanced KDP region within the supercell. Further, this resulted in an unfavorable rearward shift of the negative buoyancy region, which led to an order of magnitude less baroclinic generation of circulation in the nontornadic simulations compared to tornadic simulations.
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U2 - 10.1175/MWR-D-22-0228.1
DO - 10.1175/MWR-D-22-0228.1
M3 - Article
AN - SCOPUS:85169681576
SN - 0027-0644
VL - 151
SP - 1863
EP - 1884
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 7
ER -