Jacopo Grazioli
EPFL VPT DURABILITE
BS 101 (Bâtiment BS)
Station 4
CH-1015 Lausanne
+41 21 693 58 89
Office:
BS 101
EPFL
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DURABILITE
Web site: Web site: https://www.epfl.ch/about/sustainability/
EPFL ENAC IIE LTE
GR C2 574 (Bâtiment GR)
Station 2
CH-1015 Lausanne
Web site: Web site: https://lte.epfl.ch
+41 21 693 58 89
EPFL
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CDH
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SHS-ENS
Fields of expertise
Remote sensing and weather radars
Cloud and precipitation microphysics
Applied meteorology, climatology, climate change and sustainability
Biography
Environmental Engineer by training, graduated at the University of Padua (IT) in 2010, he obtained a PhD at EPFL in 2015 with a thesis on applied meteorology entitled: "Polarimetric weather radars, from signal processing to microphysical retrievals". He worked as post-doc on Antarctic meteorology at the Environmental Remote Sensing Laboratory (LTE) at EPFL until 2017 and he then led the team "Radar, Satellite, Nowcasting services" at Meteoswiss until 2020.Professional course
Postdoctoral fellow
Post-doc on Antarctic meteorology, for the study of snowfall in Antarctica within the APRES3 project (https://apres3.osug.fr/)
EPFL
2015-2017
Project manager / team leader
Team leader of "Radar, Satellite and Nowcasting Services"
Swiss Federal Office of Meteorology and Climatology (MeteoSwiss)
2017-2020
Education
Bachelor degree in Environmental Engineering
Environmental studies
University of Padova
2005-2008
Master degree in Environmental Engineering
Environmental studies
University of Padova
2008-2010
PhD in Civil and Environmental Engineering
Applied meteorology
EPFL
2011-2015
Awards
Awards best Master project, doctoral research or research project contributing a high level and innovative share in the field of SIE
2017
Publications
Selected publications
| Jacopo Grazioli, Jean-Baptiste Madeleine, Hubert Gallée, Richard M. Forbes, Christophe Genthon, Gerhard Krinner, and Alexis Berne PNAS |
Katabatic winds diminish precipitation contribution to the Antarctic ice mass balance |
| Jussi Leinonen, Jacopo Grazioli and Alexis Berne Atm. Meas. Techniques |
Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images |
| Jacopo Grazioli , Andreas Leuenberger, Lionel Peyraud, Jordi Figueras i Ventura, Marco Gabella, Alessandro Hering, and Urs Germann IEEE GRSL |
An Adaptive Thunderstorm Measurement Concept Using C-Band and X-Band Radar Data |