Wednesday, 5 November 2014: 2:30 PM
University (Madison Concourse Hotel)
The effects of horizontal grid spacing on idealized supercell simulations are investigated. Motivation for the study largely stems from the NOAA Warn-on-Forecast program, which envisions a paradigm shift from warn-on-detection, where convective hazard warning decisions are primarily based on current observations, to a new paradigm where storm-scale numerical weather models play a greater role in generating forecasts and warnings. Unlike most previous grid spacing sensitivity studies, we focus on impacts to operationally significant features of supercells. Using the WRF-ARW model, idealized supercell simulations are run for 2 hours using three different environments and horizontal grid spacings of 333 m and 1, 2, 3, and 4 km. Given that forecasts under the Warn-on-Forecast paradigm will be initialized after several radar data assimilation cycles, we initialize our coarser simulations with upscaled versions of the 333m truth simulation valid at t = 30 min. To isolate differences in storm evolution arising from finer-scale processes being unrepresented in the coarser simulations, the latter are compared to appropriately filtered versions of the truth simulations.
Preliminary results show that operationally significant errors in supercell evolution arise as the grid spacing is increased. Furthermore, the grid spacing sensitivity is strongly influenced by the environment. The 4 km grid spacing is too coarse to even qualitatively reproduce the supercell evolution, with the storm dying before the end of the simulation in two of the three environments. Implications of this and other findings for Warn-on-Forecast will be discussed.
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