Stochastic systems

Bisignano, A., Castelli, S. T., & Malguzzi, P. (2019). Evaluation of turbulence parametrizations for Lagrangian dispersion models. In 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080560903&partnerID=40&md5=6a6b835bfb627e4b9701cd85d977cfd7
Ferrarese, S., & Castelli, S. T. (2019). Detection of CO2 source areas using two lagrangian particle dispersion models, at regional scale and long range. In 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080316545&partnerID=40&md5=04464963bb100600cc685782ce3cc9b8
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
Parmiggiani, F., Alvarez-Hernandez, L. P., & Moctezuma-Flores, M. (2018). A stochastic model for oil spill detection in marine environment with SAR data. In Proceedings of SPIE - The International Society for Optical Engineering. http://doi.org/10.1117/12.2324883
Biscarini, M., Milani, L., Montopoli, M., De Sanctis, K., Fabio, S. D., Magde, K. M., et al. (2019). Exploiting tropospheric measurements from sun-Tracking radiometer for radiopropagation models at centimeter and millimeter wave. Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. http://doi.org/10.1109/JSTARS.2019.2916372
Milani, L., Biscarini, M., Fabio, S. D., De Sanctis, K., Montopoli, M., Magde, K. M., et al. (2019). Validating weather-forecast-driven propagation models at millimeter waves using multisource ground-based radiometric data. In 13th European Conference on Antennas and Propagation, EuCAP 2019. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068465653&partnerID=40&md5=574559ddf6888454a7ec3640bd137d16
Meccia, V. L., Fabiano, F., Davini, P., & Corti, S. (2020). Stochastic Parameterizations and the Climate Response to External Forcing: An Experiment With EC-Earth. Geophysical Research Letters. http://doi.org/10.1029/2019GL085951
Babler, M. U., Biferale, L., Brandt, L., Feudel, U., Guseva, K., Lanotte, A. S., et al. (2020). Breakup of small aggregates in bounded and unbounded turbulent flows. In ETC 2013 - 14th European Turbulence Conference. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081085349&partnerID=40&md5=696885b07ed2b8de9fec7c2249fc2eff
Ferrero, E., Manor, A., Mortarini, L., & Oettl, D. (2020). Concentration fluctuations and odor dispersion in lagrangian models. Atmosphere. http://doi.org/10.3390/ATMOS11010027
Stefanello, M. B., Degrazia, G. A., Mortarini, L., Buligon, L., Maldaner, S., Carvalho, J. C., et al. (2018). Development of an analytical Lagrangian model for passive scalar dispersion in low-wind speed meandering conditions. Physica A: Statistical Mechanics And Its Applications. http://doi.org/10.1016/j.physa.2017.11.031