Thursday, June 13, 2013, 2:30 pm — Conference Room, Bldg 815E
Direct numeric simulations (the approach adopted by current climate models) accumulate statistics by cumbersome numerical integrations and usually offer little insight into complex systems. Direct statistically approaches, on the other hand, directly predict the statistics. Along this line, we present a simple one-dimensional stochastic transport theory for complex three-dimensional medium. The heart of the theory is using a spatial autocorrelation function that encodes information about the spatial arrangement and morphology of the medium. Numerically, we show that the stochastic theory is able to faithfully reproduce various three-dimensional effects traditionally only captured by expensive three-dimensional simulations.
9201 | INT/EXT | Events Calendar
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