Giuseppe Torri is interested in Atmospheric and Climate Dynamics. His research focuses primarily on deep convection using the combination of Large Eddy Simulations/Cloud Resolving Models and a Lagrangian Particle Dispersion Model to obtain a process-level understanding of the fundamental dynamics of such systems. Currently, he is working on applying the techniques he developed so far to the study of supercell storms, with the hope of improving forecasting skills. He is also interested in topics related to the interaction between the land surface and the atmosphere, aiming to answer important questions about long-term impacts of land use on climate at the regional and global scale.
I study theoretical aspects of atmospheric dynamics. My research aims to improve our understanding of the wide variety of scales in the atmosphere to bridge the weather-climate gap, especially the role of moist convection on high-impact extreme weather and climate events.
I have recently obtained a Ph.D. from The University of Chicago. My dissertation research is focused on the fundamental dynamics of a 20-30 day periodic behavior in the storm tracks – a newly identified climatic driver and early warning of extremes.