Alexander D. Schenkman

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The Advanced Regional Prediction System (ARPS) model is employed to perform high-resolution numerical simulations of a mesoscale convective system and associated cyclonic line-end vortex (LEV) that spawned several tornadoes in central Oklahoma on 8–9 May 2007. The simulation uses a 1000 km 3 1000 km domain with 2-km horizontal grid spacing. The ARPS(More)
The impact of radar and Oklahoma Mesonet data assimilation on the prediction of mesovortices in a tor-nadic mesoscale convective system (MCS) is examined. The radar data come from the operational Weather Surveillance Radar-1988 Doppler (WSR-88D) and the Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere's (CASA) IP-1 radar(More)
A 50-m-grid-spacing Advanced Regional Prediction System (ARPS) simulation of the 8 May 2003 Oklahoma City tornadic supercell is examined. A 40-min forecast run on the 50-m grid produces two F3-intensity tornadoes that track within 10 km of the location of the observed long-track F4-intensity tornado. The development of both simulated tornadoes is analyzed(More)
An iterative procedure is designed to accelerate the 'spin-up' of ensemble square root filter (EnSRF) data assimilation cycles when starting from a poor initial ensemble. Referred to as " iterative EnSRF " (iEnSRF), this procedure follows the " running in place " (RIP) concept developed for the local ensemble transform Kalman filter (LETKF) but is(More)
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