Alexis Berne

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Associate Professor

alexis.berne@epfl.ch +41 21 693 80 51 http://lte.epfl.ch

EPFL ENAC IIE LTE
GR C2 564 (Bâtiment GR)
Station 2
CH-1015 Lausanne

+41 21 693 80 51
Office: GR C2 564
EPFL > ENAC > IIE > LTE

Web site: Web site: https://lte.epfl.ch

EPFL ENAC SSIE-GE
GR C2 564 (Bâtiment GR)
Station 2
CH-1015 Lausanne

+41 21 693 80 51
Office: GR C2 564
EPFL > ENAC > ENAC-SSIE > SSIE-ENS

+41 21 693 80 51
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDCE-ENS

+41 21 693 80 51
EPFL > CDH > CDH-SHS > SHS-ENS

+41 21 693 80 51
EPFL > VPA > VPA-AVP-E > AVP-E > AVP-E-CDS

Web site: Web site: https://dms.epfl.ch/DOCS/E/CDS

+41 21 693 80 51
EPFL > ENAC > ENAC-SSIE > SSIE-GE

Web site: Web site: https://ssie.epfl.ch/

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Administrative data

Fields of expertise

Radar meteorology 
Precipitation microphysics 
Polar precipitation
Geostatistics

Professional course

Associate Professor

LTE

EPFL

2013 -

Assistant Professor

LTE

EPFL

2006 - 2013

Post-doctoral researcher

LTHE

INPG, Grenoble, France

03/2006 - 09/2006

Post-doctoral researcher

HWQ

Wageningen University, The Netherlands

2003 - 2006

Teaching & PhD

Teaching

Environmental Sciences and Engineering

PhD Programs

Doctoral Program in Civil and Environmental Engineering

PhD Students

Billault--Roux Anne-Claire Marie, Erb Sophie Catherine, Feldmann Monika, Ferrone Alfonso, Ghiggi Gionata, Schwaerzel Marc Damien, Shi Haoran,

Past EPFL PhD Students

Bianchi Blandine , Gehring Josué Etienne , Grazioli Jacopo , Jaffrain Joël , Raupach Timothy Hugh , Schleiss Marc , Van den Heuvel Floortje Elisabeth Maria , Wolfensberger Daniel ,

Courses

Spatial statistics and analysis

The main objective is to make the students understand the importance of the spatial issues in environmental sciences and engineering, for example for mapping and interpolation. Presentation of different concepts and techniques devoted to spatial data.

Remote sensing

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.

Active Remote Sensing of the Atmosphere

Provide the students the basics to understand and analyze remotely sensed measurements from active systems like lidar (in particular temperature, humidity, aerosols) and radar (weather and cloud radar, wind profiler).

Global issues: climate A

This course presents the global issue of climate change: climate system and prediction; impacts on ecosystems and biodiversity; historic frame and public debate; climate targets and policies. The interdisciplinary approach introduces students to working in teams and to scientific methodologies.