ABSTRACT
Ming Xue, Kelvin K. Droegemeier Center for Analysis and Prediction of Storms and School of Meteorology, University of Oklahoma, Norman, OK
Daniel Weber Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK
The so-called mesoscale and convective scale weather events, including floods, tornadoes, hail, strong winds, lightning, hurricanes and winter storms, cause hundreds of deaths and average annual economic losses greater than $13 billion in the United States each year [16, 5]. Although the benefit of mitigating the impacts of such events on the economy and society is obvious, our ability to do so is seriously constrained by the available computational resources which are currently far from sufficient to allow for explicit real-time numerical prediction of these hazardous weather events at sufficiently high spatial resolutions or small enough grid spacings.
