E. Ferrero

First name
E.
Last name
Ferrero
Tenti, B., & Ferrero, E. (2022). SMOKE PLUME FROM FIRE LAGRANGIAN SIMULATION: DEPENDENCE ON DRAG COEFFICIENT AND RESOLUTION. 21st International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2022. Recuperato da https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146219319&partnerID=40&md5=6b9a298c447bc18b3b2e648e1e110b4a
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Ferrero, E., Ive, F., Salizzoni, P., Bisignano, A., Forza, R., Manfrin, M., & Mortarini, L. (2019). Physical model of buoyant plume development. In 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019. Recuperato da https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080570913&partnerID=40&md5=28da8cbae80bd048f7acfd230d089ba3
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Bisignano, A., Ferrero, E., & Alessandrini, S. (2019). A Lagrangian dispersion model with a stochastic equation for the temperature fluctuations. International Journal Of Environment And Pollution. http://doi.org/10.1504/IJEP.2019.103747
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Ferrero, E., Vandenberghe, F., Alessandrini, S., & Mortarini, L. (2018). Comparison of WRF PBL models in low-wind speed conditions against measured data. In Springer Proceedings in Complexity. http://doi.org/10.1007/978-3-319-57645-9_20
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Ferrero, E., Alessandrini, S., Anderson, B., Tomasi, E., Jimenez, P., & Meech, S. (2019). Lagrangian simulation of smoke plume from fire and validation using ground-based lidar and aircraft measurements. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2019.06.049
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Ferrero, E., Manor, A., Mortarini, L., & Oettl, D. (2020). Concentration fluctuations and odor dispersion in lagrangian models. Atmosphere. http://doi.org/10.3390/ATMOS11010027
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Tomasi, E., Giovannini, L., Falocchi, M., Zardi, D., Antonacci, G., Ferrero, E., et al. (2018). Dispersion modeling over complex terrain in the bolzano basin (it): preliminary results from a WRF-CALPUFF modeling system. In Springer Proceedings in Complexity. http://doi.org/10.1007/978-3-319-57645-9_25
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Boetti, M., Castelli, S. T., & Ferrero, E. (2018). Reviving MILORD long-range model for simulating the dispersion of the release during fukushima nuclear power plant accident. In Springer Proceedings in Complexity. http://doi.org/10.1007/978-3-319-57645-9_61
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Tomasi, E., Giovannini, L., Falocchi, M., Antonacci, G., Jiménez, P. A., Kosovic, B., et al. (2019). Turbulence parameterizations for dispersion in sub-kilometer horizontally non-homogeneous flows. Atmospheric Research. http://doi.org/10.1016/j.atmosres.2019.05.018
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Ferrero, E., & Oettl, D. (2019). An evaluation of a Lagrangian stochastic model for the assessment of odours. Atmospheric Environment. http://doi.org/10.1016/j.atmosenv.2019.03.004
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