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Administrative data

Alexis Berne

alexis.berne@epfl.ch https://www.epfl.ch/labs/lte/

EPFL ENAC IIE LTE
GR C1 542 (Bâtiment GR)
Station 2
1015 Lausanne

Expertise

Radar meteorology
Precipitation microphysics
Polar precipitation
Geostatistics

Mission

Reserch interests: radar meteorology, cloud and precipitation microphysics in mountainous and polar 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

EPFL

Assistant Professor

2006–2013

EPFL

Post-doctoral researcher

2006–2006

INPG, Grenoble, France

Post-doctoral researcher

2003–2006

Wageningen University, The Netherlands

Teaching & PhD

PhD Students

Heather Anne Corden, Clément Alain René Cosson, Gionata Ghiggi, Adrien Francis Olivier Liernur, Morgane Aline Elsa Marine Weiss

Past EPFL PhD Students

Blandine Bianchi (2013), Anne-Claire Marie Billault--Roux (2023), Monika Feldmann (2023), Alfonso Ferrone (2022), Josué Gehring (2021), Jacopo Grazioli (2015), Floortje Elisabeth Maria Van den Heuvel (2019), Joël Jaffrain (2012), Timothy Hugh Raupach (2016), Marc Schleiss (2012), Marc Damien Schwärzel (2022), Daniel Wolfensberger (2018)

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.