Storm-Scale Polarimetric Radar Signatures Associated with Tornado Dissipation in Supercells
Polarimetric radar data from the WSR-88D network are used to examine the evolution of various polarimetric precursor signatures to tornado dissipation within a sample of 36 supercell storms. These signatures include an increase in bulk hook echo median raindrop size, a decrease in midlevel different...
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Published in | Weather and forecasting Vol. 37; no. 1; pp. 3 - 21 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Boston
American Meteorological Society
01.01.2022
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Abstract | Polarimetric radar data from the WSR-88D network are used to examine the evolution of various polarimetric precursor signatures to tornado dissipation within a sample of 36 supercell storms. These signatures include an increase in bulk hook echo median raindrop size, a decrease in midlevel differential radar reflectivity factor (
Z
DR
) column area, a decrease in the magnitude of the
Z
DR
arc, an increase in the area of low-level large hail, and a decrease in the orientation angle of the vector separating low-level
Z
DR
and specific differential phase (
K
DP
) maxima. Only supercells that produced “long-duration” tornadoes (with at least four consecutive volumes of WSR-88D data) are investigated, so that signatures can be sufficiently tracked in time, and novel algorithms are used to isolate each storm-scale process. During the time leading up to tornado dissipation, we find that hook echo median drop size (
D
0
) and median
Z
DR
remain relatively constant, but hook echo median
K
DP
and estimated number concentration (
N
T
) increase. The
Z
DR
arc maximum magnitude and
Z
DR
–
K
DP
separation orientation angles are observed to decrease in most dissipation cases. Neither the area of large hail nor the
Z
DR
column area exhibit strong signals leading up to tornado dissipation. Finally, combinations of storm-scale behaviors and TVS behaviors occur most frequently just prior to tornado dissipation, but also are common 15–20 min prior to dissipation. The results from this study provide evidence that nowcasting tornado dissipation using dual-polarization radar may be possible when combined with TVS monitoring, subject to important caveats. |
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AbstractList | Polarimetric radar data from the WSR-88D network are used to examine the evolution of various polarimetric precursor signatures to tornado dissipation within a sample of 36 supercell storms. These signatures include an increase in bulk hook echo median raindrop size, a decrease in midlevel differential radar reflectivity factor (
Z
DR
) column area, a decrease in the magnitude of the
Z
DR
arc, an increase in the area of low-level large hail, and a decrease in the orientation angle of the vector separating low-level
Z
DR
and specific differential phase (
K
DP
) maxima. Only supercells that produced “long-duration” tornadoes (with at least four consecutive volumes of WSR-88D data) are investigated, so that signatures can be sufficiently tracked in time, and novel algorithms are used to isolate each storm-scale process. During the time leading up to tornado dissipation, we find that hook echo median drop size (
D
0
) and median
Z
DR
remain relatively constant, but hook echo median
K
DP
and estimated number concentration (
N
T
) increase. The
Z
DR
arc maximum magnitude and
Z
DR
–
K
DP
separation orientation angles are observed to decrease in most dissipation cases. Neither the area of large hail nor the
Z
DR
column area exhibit strong signals leading up to tornado dissipation. Finally, combinations of storm-scale behaviors and TVS behaviors occur most frequently just prior to tornado dissipation, but also are common 15–20 min prior to dissipation. The results from this study provide evidence that nowcasting tornado dissipation using dual-polarization radar may be possible when combined with TVS monitoring, subject to important caveats. Polarimetric radar data from the WSR-88D network are used to examine the evolution of various polarimetric precursor signatures to tornado dissipation within a sample of 36 supercell storms. These signatures include an increase in bulk hook echo median raindrop size, a decrease in midlevel differential radar reflectivity factor (ZDR) column area, a decrease in the magnitude of the ZDR arc, an increase in the area of low-level large hail, and a decrease in the orientation angle of the vector separating low-level ZDR and specific differential phase (KDP) maxima. Only supercells that produced “long-duration” tornadoes (with at least four consecutive volumes of WSR-88D data) are investigated, so that signatures can be sufficiently tracked in time, and novel algorithms are used to isolate each storm-scale process. During the time leading up to tornado dissipation, we find that hook echo median drop size (D0) and median ZDR remain relatively constant, but hook echo median KDP and estimated number concentration (NT) increase. The ZDR arc maximum magnitude and ZDR–KDP separation orientation angles are observed to decrease in most dissipation cases. Neither the area of large hail nor the ZDR column area exhibit strong signals leading up to tornado dissipation. Finally, combinations of storm-scale behaviors and TVS behaviors occur most frequently just prior to tornado dissipation, but also are common 15–20 min prior to dissipation. The results from this study provide evidence that nowcasting tornado dissipation using dual-polarization radar may be possible when combined with TVS monitoring, subject to important caveats. |
Author | Segall, Jacob H. Kumjian, Matthew R. Loeffler, Scott D. Kingfield, Darrel M. French, Michael M. |
Author_xml | – sequence: 1 givenname: Jacob H. orcidid: 0000-0001-6702-7927 surname: Segall fullname: Segall, Jacob H. organization: a School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, New York – sequence: 2 givenname: Michael M. surname: French fullname: French, Michael M. organization: a School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, New York – sequence: 3 givenname: Darrel M. surname: Kingfield fullname: Kingfield, Darrel M. organization: b Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, c NOAA/Global Systems Laboratory, Boulder, Colorado – sequence: 4 givenname: Scott D. surname: Loeffler fullname: Loeffler, Scott D. organization: d Department of Meteorology and Atmospheric Sciences, The Pennsylvania State University, University Park, Pennsylvania – sequence: 5 givenname: Matthew R. surname: Kumjian fullname: Kumjian, Matthew R. organization: d Department of Meteorology and Atmospheric Sciences, The Pennsylvania State University, University Park, Pennsylvania |
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Snippet | Polarimetric radar data from the WSR-88D network are used to examine the evolution of various polarimetric precursor signatures to tornado dissipation within a... |
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SubjectTerms | Algorithms Dissipation Drop size Dual polarization radar Echoes Hail Large hail Nowcasting Polarimetric radar Polarimetry Radar Radar data Radar reflectivity Radar signatures Raindrops Reflectance Storms Supercells Thunderstorms Tornadoes |
Title | Storm-Scale Polarimetric Radar Signatures Associated with Tornado Dissipation in Supercells |
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