Massimo Cassiani
Senior Scientist
+47 63 89 81 32
+47 952 26 371
Atmosphere and Climate
Kjeller
mc@nilu.no
Massimo Cassiani has 70 publications at NILU:
2023
2023
2023
2022
2022
2022
2021
2020
2020
2019
2019
2019
2019
2019
2019
2018
Large eddy simulation of plume dispersion and concentration fluctuations in a neutral boundary layer
2018
2018
2018
2018
A large eddy simulation study of mean dispersion and concentration fluctuations from a point source.
2017
2017
2017
2017
2017
2017
2016
2016
2016
2015
2014
A velocity-dissipation stochastic trajectory model for dispersal of heavy particles inside canopies.
2014
2014
2014
2013
2013
2013
2013
2012
2011
2011
2011
2011
2011
2011
2010
2010
2009
2009
2008
Airborne Microplastic Detection, Origin, Transport and Global Radiative Impact (MAGIC)
The project with the short name "MAGIC" will incorporate advances in atmospheric sampling (e.g., from Global Atmosphere Watch stations, GAW) and detection of microplastics (e.g. long timeseries of measurements) into atmospheric dispersion and inverse […]
Model Advancements for high Spatial and TEmporal Resolution simulations of environmental toxics (SIS MASTER)
The main goal of the project is to modify and enhance NILUs existing atmospheric models to allow for improved simulation of traditional air pollutants (e.g., NO2, PM2.5, PM10) at very […]
Massimo Cassiani has 70 publications at NILU:
2023
2023
2023
2022
2022
2022
2021
2020
2020
2019
2019
2019
2019
2019
2019
2018
Large eddy simulation of plume dispersion and concentration fluctuations in a neutral boundary layer
2018
2018
2018
2018
A large eddy simulation study of mean dispersion and concentration fluctuations from a point source.
2017
2017
2017
2017
2017
2017
2016
2016
2016
2015
2014
A velocity-dissipation stochastic trajectory model for dispersal of heavy particles inside canopies.
2014
2014
2014
2013
2013
2013
2013
2012
2011
2011
2011
2011
2011
2011
2010
2010
2009
2009
2008
Airborne Microplastic Detection, Origin, Transport and Global Radiative Impact (MAGIC)
The project with the short name "MAGIC" will incorporate advances in atmospheric sampling (e.g., from Global Atmosphere Watch stations, GAW) and detection of microplastics (e.g. long timeseries of measurements) into atmospheric dispersion and inverse […]
Model Advancements for high Spatial and TEmporal Resolution simulations of environmental toxics (SIS MASTER)
The main goal of the project is to modify and enhance NILUs existing atmospheric models to allow for improved simulation of traditional air pollutants (e.g., NO2, PM2.5, PM10) at very […]