Open AccessParameterization of the Two-Point Velocity Correlation Function in a Two-Particle Lagrangian Stochastic Model and Its Effect on the Prediction of Concentration Variances due to a Line Source
Author(s) -
Jacob Cohen,
Andrew Reynolds
Publication year - 2000
Publication title -
journal of applied meteorology
Language(s) - English
Resource type - Journals
eISSN - 1520-0450
pISSN - 0894-8763
DOI - 10.1175/1520-0450-39.10.1762
Subject(s) - line source , limit (mathematics) , lagrangian , correlation function (quantum field theory) , line (geometry) , function (biology) , point source , wind tunnel , wind speed , stochastic modelling , point (geometry) , boundary layer , statistical physics , physics , mechanics , mathematics , mathematical analysis , meteorology , statistics , optics , geometry , spectral density , evolutionary biology , biology
A Lagrangian stochastic model, in which a new parameterization of the two-point velocity correlation function is included, is investigated. Model simulations of temperature variances caused by a line source in an inhomogeneous wind-tunnel boundary layer are shown to be in good agreement with experimental data. A special limit of the new parameterization that is useful at large distances from the source is discussed in detail. A new technique is introduced that greatly enhances the computational efficiency of an implementation of this limit of the model and that renders long-distance simulations of concentration variances of tracers dispersing from line sources computationally treatable.