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A Bayesian method for the analysis of deterministic and stochastic time series
methods:statistical brown dwarf
2012/11/23
I introduce a general, Bayesian method for modelling univariate time series data assumed to be drawn from a continuous, stochastic process. The method accommodates arbitrary temporal sampling, and tak...
Stochastic fields method for sub-grid scale emission heterogeneity in mesoscale atmospheric dispersion models
Stochastic fields method sub-grid scale emission heterogeneity mesoscale atmospheric dispersion models
2010/1/18
The stochastic fields method for turbulent reacting flows has been applied to the issue of sub-grid scale emission heterogeneity in a mesoscale model. This method is a solution technique for the proba...
Comparison of conventional Lagrangian stochastic footprint models against LES driven footprint estimates
conventional Lagrangian stochastic footprint models LES footprint estimates
2009/8/7
In this study we introduce a comparison method for footprint model results by evaluating the performance of conventional Lagrangian stochastic (LS) footprint models that use parameterised flow field c...
Monte Carlo simulations of two-component drop growth by stochastic coalescence
Monte Carlo simulations two-component drop growth stochastic coalescence
2009/3/13
The evolution of two-dimensional drop distributions is simulated in this study using a Monte Carlo method. The stochastic algorithm of Gillespie (1976) for chemical reactions in the formulation propos...