Springer Nature
Bulletin of Atmospheric Science and Technology
,  volume 3 ,  issue 1-4 ,  publication number 2

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

Publication type: Journal Article
Publication date: 2022-06-28
Springer Nature
scimago Q2
SJR: 0.318
CiteScore: 1.7
Impact factor: —
ISSN: 26621495, 26621509
General Medicine
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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GOST Copy
Ferrero E. et al. A 3D Lagrangian stochastic particle model for the concentration variance dispersion // Bulletin of Atmospheric Science and Technology. 2022. Vol. 3. No. 1-4. 2
GOST all authors (up to 50) Copy
Ferrero E., Alessandrini S., Meech S., Rozoff C. A 3D Lagrangian stochastic particle model for the concentration variance dispersion // Bulletin of Atmospheric Science and Technology. 2022. Vol. 3. No. 1-4. 2
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RIS Copy
TY - JOUR
DO - 10.1007/s42865-022-00045-0
UR - https://doi.org/10.1007/s42865-022-00045-0
TI - A 3D Lagrangian stochastic particle model for the concentration variance dispersion
T2 - Bulletin of Atmospheric Science and Technology
AU - Ferrero, Elisabetta
AU - Alessandrini, Stefano
AU - Meech, Scott
AU - Rozoff, Christopher
PY - 2022
DA - 2022/06/28
PB - Springer Nature
IS - 1-4
VL - 3
SN - 2662-1495
SN - 2662-1509
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Ferrero,
author = {Elisabetta Ferrero and Stefano Alessandrini and Scott Meech and Christopher Rozoff},
title = {A 3D Lagrangian stochastic particle model for the concentration variance dispersion},
journal = {Bulletin of Atmospheric Science and Technology},
year = {2022},
volume = {3},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1007/s42865-022-00045-0},
number = {1-4},
pages = {2},
doi = {10.1007/s42865-022-00045-0}
}