Simulations of Severe Convective Systems Using 1-versus 3-km Grid Spacing

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Abstract

Herein, 14 severe quasi-linear convective systems (QLCS) covering a wide range of geographical locations and environmental conditions are simulated for both 1-and 3-km horizontal grid resolutions, to further clarify their com-parative capabilities in representing convective system features associated with severe weather production. Emphasis is placed on validating the simulated reflectivity structures, cold pool strength, mesoscale vortex characteristics, and surface wind strength. As to the overall reflectivity characteristics, the basic leading-line trailing stratiform structure was often bet-ter defined at 1 versus 3 km, but both resolutions were capable of producing bow echo and line echo wave pattern type fea-tures. Cold pool characteristics for both the 1-and 3-km simulations were also well replicated for the differing environments, with the 1-km cold pools slightly colder and often a bit larger. Both resolutions captured the larger meso-scale vortices, such as line-end or bookend vortices, but smaller, leading-line mesoscale updraft vortices, that often pro-mote QLCS tornadogenesis, were largely absent in the 3-km simulations. Finally, while maximum surface winds were only marginally well predicted for both resolutions, the simulations were able to reasonably differentiate the relative contribu-tions of the cold pool versus mesoscale vortices. The present results suggest that while many QLCS characteristics can be reasonably represented at a grid scale of 3 km, some of the more detailed structures, such as overall reflectivity characteristics and the smaller leading-line mesoscale vortices would likely benefitfromthefiner 1-km grid spacing.

Original languageEnglish
Pages (from-to)401-423
Number of pages23
JournalWeather and Forecasting
Volume38
Issue number3
DOIs
StatePublished - Mar 1 2023

Keywords

  • Cloud resolving models
  • Mesoscale forecasting
  • Numerical weather prediction/forecasting
  • Short-range prediction

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