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Journal Article

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

Enrico Ferrero; Stefano Alessandrini; Scott Meech; Christopher Rozoff
Bulletin of Atmospheric Science and Technology · Vol. 3, Issue 1-4 · 2022

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.

Bibliographic Information

JournalBulletin of Atmospheric Science and Technology
PublisherSpringer
Publication Date2022-12-01
Publication Year2022
Volume3
Issue1-4
Document TypeJournal Article
Print ISSN2662-1495
eISSN2662-1509
DOI10.1007/s42865-022-00045-0

Access Information

NARA Access Coverage2020-01-01~Current
Journal Homepagehttps://www.springer.com/journal/42865
Publisher PageOpen Publisher Page
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