S
Silvia Trini Castelli
Researcher at National Research Council
Publications - 36
Citations - 415
Silvia Trini Castelli is an academic researcher from National Research Council. The author has contributed to research in topics: Atmospheric dispersion modeling & Dispersion (optics). The author has an hindex of 9, co-authored 36 publications receiving 336 citations.
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Journal ArticleDOI
COST 732 in practice: the MUST model evaluation exercise
Silvana Di Sabatino,Riccardo Buccolieri,H.R. Olesen,Matthias Ketzel,Ruwim Berkowicz,Jörg Franke,Michael Schatzmann,Katharina Heinke Schlünzen,Bernd Leitl,Rex Britter,Carlos Borrego,Ana Margarida Costa,Silvia Trini Castelli,T. G. Reisin,Antti Hellsten,Jarkko Saloranta,Nicolas Moussiopoulos,Fotios Barmpas,Krzysztof Brzozowski,István Goricsán,Márton Balczó,John G. Bartzis,George C. Efthimiou,Jose A. Santiago,Alberto Martilli,Martin Piringer,Kathrin Baumann-Stanzer,Marcus Hirtl,Alexander Baklanov,Roman Nuterman,Alexander V. Starchenko +30 more
TL;DR: In this paper, the authors describe the use of a general methodology tailored to the evaluation of micro-scale meteorological models applied to flow and dispersion simulations in urban areas, which has been tested through a large modelling exercise involving many groups across Europe.
Book ChapterDOI
Micro-Swift-Spray (MSS): A New Modelling System for the Simulation of Dispersion at Microscale. General Description and Validation
Gianni Tinarelli,G. Brusasca,Olivier Oldrini,Domenico Anfossi,Silvia Trini Castelli,Jacques Moussafir +5 more
Journal ArticleDOI
Characterization of Wind Meandering in Low-Wind-Speed Conditions
Luca Mortarini,Michel Stefanello,G.A. Degrazia,Débora Regina Roberti,Silvia Trini Castelli,Domenico Anfossi +5 more
TL;DR: In this article, the Eulerian autocorrelation functions of the horizontal wind-velocity components and temperature were analyzed to identify the meandering and non-meandering cases.
Journal ArticleDOI
Comparison among empirical probability density functions of the vertical velocity in the surface layer based on higher order correlations
TL;DR: In this paper, the authors compared observed and predicted correlations by considering Gaussian joint-PDF and Gram-Charlier series expansions truncated to the fourth and sixth order as done earlier by Frenkiel and Klebanoff.
Journal ArticleDOI
Atmospheric Pollutant Dispersion over Complex Terrain: Challenges and Needs for Improving Air Quality Measurements and Modeling
Lorenzo Giovannini,Enrico Ferrero,Thomas Karl,Mathias W. Rotach,Chantal Staquet,Silvia Trini Castelli,Dino Zardi +6 more
TL;DR: In this paper, a review of recent findings and progress in this field, focusing on both experimental and modeling perspectives, highlights open questions and challenges to our capability for better understanding and representing atmospheric processes controlling the fate of pollutants over mountainous areas.