TY - JOUR
T1 - Polarimetric and electrical structure of the 19 may 2013 edmond carney, oklahoma, tornadic supercell
AU - Sharma, Milind
AU - Tanamachi, Robin L.
AU - Bruning, Eric C.
AU - Calhoun, Kristin M.
N1 - Funding Information:
Acknowledgments. We thank Ron Holle and Martin Murphy at Vaisala for providing additional NLDN data and answering our questions about the NLDN upgrade. Thanks are also given to Dr. Vanna Chmielewski for insightful discussions on source detection efficiency calculations for OKLMA. We would also like to thank the creators of and contributors to several open source Python software packages, especially NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), xarray (Hoyer et al. 2019), and MetPy (May et al. 2020), which were used in this study. Most of the data visualization for this study was performed using matplotlib (Hunter 2007; Caswell et al. 2019). Segmentation results were visualized and further processed for accurate labeling using napari (Sofroniew et al. 2019). We would also like to express our sincere gratitude to the three anonymous reviewers whose comments significantly improved our analyses and interpretations. Computational support for this research was provided by the ITaP and College of Science IT research computing staff at Purdue University. This research was partially funded by NSF Grant AGS-1741003 and using federal funds under Award NA19OAR4590209 from NOAA, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the NOAA or the U.S. Department of Commerce.
Publisher Copyright:
© 2021 American Meteorological Society. All rights reserved.
PY - 2021/7
Y1 - 2021/7
N2 - We demonstrate the utility of transient polarimetric signatures (ZDR and KDP columns, a proxy for surges in a thunderstorm updraft) to explain variability in lightning flash rates in a tornadic supercell. Observational data from a WSR-88D and the Oklahoma lightning mapping array are used to map the temporal variance of polarimetric signatures and VHF sources from lightning channels. It is shown, via three-dimensional and cross-sectional analyses, that the storm was of inverted polarity resulting from anomalous electrification. Statistical analysis confirms that mean flash area in the ZDR column region was 10 times smaller than elsewhere in the storm. On an average, 5 times more flash initiations occurred within ZDR column regions, thereby supporting existing theory of an inverse relationship between flash initiation rates and lightning channel extent. Segmentation and object identification algorithms are applied to gridded radar data to calculate metrics such as height, width, and volume of ZDR and KDP columns. Variability in lightning flash rates is best explained by the fluctuations in ZDR column volume with a Spearman s rank correlation coefficient value of 0.72. The highest flash rates occur in conjunction with the deepest ZDR columns (up to 5 km above environmental melting level) and largest volumes of ZDR columns extending up to the 2208C level (3 km above the melting level). Reduced flash rates toward the end of the analysis are indicative of weaker updrafts manifested as low ZDR column volumes at and above the 2108C level. These findings are consistent with recent studies linking lightning to the interplay between storm dynamics, kinematics, thermodynamics, and precipitation microphysics.
AB - We demonstrate the utility of transient polarimetric signatures (ZDR and KDP columns, a proxy for surges in a thunderstorm updraft) to explain variability in lightning flash rates in a tornadic supercell. Observational data from a WSR-88D and the Oklahoma lightning mapping array are used to map the temporal variance of polarimetric signatures and VHF sources from lightning channels. It is shown, via three-dimensional and cross-sectional analyses, that the storm was of inverted polarity resulting from anomalous electrification. Statistical analysis confirms that mean flash area in the ZDR column region was 10 times smaller than elsewhere in the storm. On an average, 5 times more flash initiations occurred within ZDR column regions, thereby supporting existing theory of an inverse relationship between flash initiation rates and lightning channel extent. Segmentation and object identification algorithms are applied to gridded radar data to calculate metrics such as height, width, and volume of ZDR and KDP columns. Variability in lightning flash rates is best explained by the fluctuations in ZDR column volume with a Spearman s rank correlation coefficient value of 0.72. The highest flash rates occur in conjunction with the deepest ZDR columns (up to 5 km above environmental melting level) and largest volumes of ZDR columns extending up to the 2208C level (3 km above the melting level). Reduced flash rates toward the end of the analysis are indicative of weaker updrafts manifested as low ZDR column volumes at and above the 2108C level. These findings are consistent with recent studies linking lightning to the interplay between storm dynamics, kinematics, thermodynamics, and precipitation microphysics.
KW - Atmospheric electricity
KW - Cloud microphysics
KW - Data processing
KW - Lightning
KW - Radars/Radar observations
KW - Severe storms
UR - http://www.scopus.com/inward/record.url?scp=85109199490&partnerID=8YFLogxK
U2 - 10.1175/MWR-D-20-0280.1
DO - 10.1175/MWR-D-20-0280.1
M3 - Article
AN - SCOPUS:85109199490
SN - 0027-0644
VL - 149
SP - 2049
EP - 2078
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 7
ER -