Friday, 8 June 2018: 9:30 AM
Colorado A (Grand Hyatt Denver)
Charles M. Kuster, CIMMS/NOAA NSSL, Norman, OK; and J. C. Snyder, T. J. Schuur, J. W. Brogden, R. Toomey, and P. L. Heinselman
Manuscript
(1.2 MB)
National Weather Service (NWS) forecasters use a variety of tools and apply scientific conceptual models during the warning decision process to anticipate changes in storm intensity. The dual-polarization upgrade to the national WSR-88D network has provided new opportunities for forecasters to identify and examine signatures (such as Z
DR columns) that were previously unavailable to them. Since Z
DR columns may provide important information to forecasters about a storm’s intensity, a research dual-polarization WSR-88D located in Norman, Oklahoma (KOUN) was used to sample the Z
DR columns of 47 different storms. Specialized 90° sector scans and custom volume coverage patterns allowed for volume update times of two minutes or less, which provides a unique opportunity to study Z
DR column evolution and the impacts of radar-update time on observing Z
DR columns.
The purpose of this study is to analyze ZDR column depth, -20C reflectivity core, and mesocyclone evolution together across multiple storm modes (e.g., supercells, multicells) to provide a means for integrating ZDR columns into existing forecaster conceptual models. Time series plots were created to qualitatively analyze any relationships between ZDR columns, storm reports, and signatures commonly used by forecasters during the warning decision process (e.g., mesocyclones). Statistical relationships were also examined to quantify any operationally relevant connections between each signature. ZDR columns do appear to offer additional insight into storm intensity and hailfall at the surface. The lead author will discuss key findings of this ongoing study.
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