A 3D Lagrangian stochastic particle model for the concentration variance dispersion

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Abstract

A new scheme for the concentration variance calculation is assessed using field experiment data. The scheme is introduced in a Lagrangian stochastic particle model. The model provides run-time mean concentrations and concentrations’ variance 3D fields; thus, it does not need any off-line post-processing. The model is tested against the FFT-07 field experiment which involves a series of tracer releases. It is a short-range (500 m) highly instrumented experiment. In this work, measurement of tracer concentrations, emitted from a ground level point source is used to assess the ability of the new model in predicting the mean concentration, concentration variance, and the concentration fluctuation intensity at the ground level with a high spatial resolution. The results of the intercomparison are shown and discussed in terms of statistical plots and indices.

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Ferrero, E., Alessandrini, S., Meech, S., & Rozoff, C. (2022). A 3D Lagrangian stochastic particle model for the concentration variance dispersion. Bulletin of Atmospheric Science and Technology, 3(1–4). https://doi.org/10.1007/s42865-022-00045-0

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