Alexis Berne

Expertise Radar meteorologyPrecipitation microphysicsPolar precipitationGeostatistics Mission Reserch interests: radar remote sensing and variability of precipitation in mountainous regions. Education PhD | Geophysical Mechanics and Environment 1999 – 2002 Universit� Joseph Fourier, Grenoble, France Master (Engineer) | Water Resources and Development 1995 – 1998 Institut National Polytechnique de Grenoble, France Professionals experiences Associate Professor 2013–2013 EPFLAssistant Professor 2006–2013 EPFLPost-doctoral researcher 2006–2006 INPG, Grenoble, FrancePost-doctoral researcher 2003–2006 Wageningen University, The Netherlands Teaching & PhD PhD Students Gionata Ghiggi, Morgane Aline Elsa Marine Weiss, Adrien Francis Olivier Liernur, Heather Anne Corden, Clément Alain René Cosson Past EPFL PhD Students Marc Schleiss, Joël Jaffrain, Blandine Bianchi, Jacopo Grazioli, Timothy Hugh Raupach, Daniel Wolfensberger, Floortje Elisabeth Maria Van den Heuvel, Josué Gehring, Marc Damien Schwärzel, Alfonso Ferrone, Monika Feldmann, Anne-Claire Marie Billault--Roux, Sophie Erb Past EPFL PhD Students as codirector Haoran Shi Courses Atmospheric processes: from cloud to global scales ENV-407 The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Climate change A: causes, impacts, challenges HUM-121(a) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance ; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Remote sensing ENV-341 This course aims at exposing the students to the main concepts, instruments and techniques of environmental remote sensing. The interactions between waves and matter, different types of sensors and image-processing techniques are presented. Sensing and spatial modeling for earth observation ENV-408 Students get acquainted with the process of mapping from images (orthophoto and DEM), as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotemporal variability of processes.