George S. Young

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— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defense and DoD agencies. To produce accurate predictions requires characterizing both the source of hazardous material and the local meteorological conditions. Decision makers use(More)
Lakes frequently generate local lake-effect snowstorms , enhancing annual precipitation by as much as 300% compared to regions outside their influence (Scott and Huff 1996). The impacts of these lake-effect storms are illustrated by a recent event that devastated local areas of northeastern Ohio and north-ABSTRACT A severe 5-day lake-effect storm resulted(More)
There are many problems in security and defense that require a robust optimization technique, including those that involve the release of a chemical or biological contaminant. This paper discusses using a genetic algorithm for addressing such problems. An example is given how a mixed integer genetic algorithm can be used in conjunction with field sensor(More)
A genetic algorithm is used to couple a dispersion and transport model with a pollution receptor model for the purpose of assimilating sensor data to characterize emission sources. This coupling allows the use of the backward (receptor) model to calibrate the forward (dispersion) model, potentially across a wide range of meteorological conditions. The(More)
—A major issue for developing post-processing methods for NWP forecasting systems is the need to obtain complete training datasets. Without a complete dataset, it can become difficult, if not impossible, to train and verify statistical post-processing techniques, including ensemble consensus forecasting schemes. In addition, when ensemble forecast data are(More)