As part of a larger effort, we are examining the utility of the Weather Research and Forecasting (WRF) model for representing the larger mesoscale environment as well as the fine-scale thunderstorm and tornado structure, via two-way quadruple-nested simulations at grid scales ranging from 6 km to 222 meters. Our suite of simulations includes free forecasts as well as forecasts utilizing various data assimilation approaches applied to conventional and remotely sensed data.
In this paper we present the results from this effort, including a discussion of the utility of assimilating the various data types via approaches currently available in WRF. We utilize conventionally available data for validation, as well as data from the WSR 88-D radar located at Mayville, ND, 30 km south of Northwood. We also briefly discuss the potential for improving the forecast of this tornado through ingesting unmanned aircraft system data into the simulations via WRF's data assimilation framework.