FORCADELL Vincent
Sommaire
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Sujet de thèse
Diagnostic de grêle en temps quasi-réel
- Encadrants : C. Augros, K. Dedieu, O. Caumont
2023
- 11th European Conference on Severe Storms - May - Bucharest, Romania
Session n°9 : Storm microphysics, electrification, lightning and hail
Title : Deep Learning for Hail Size Estimation Using Polarimetric Radar Data
Description : Use a Deep CNN to determine maximum hail size on the ground within a radar image using polarimeetric radar data.
Conference website : https://www.essl.org/cms/european-conferences-on-severe-storms/
How to cite : Forcadell, V., Augros, C., Dedieu, K., and Caumont, O. : Deep Learning for Hail Size Estimation Using Polarimetric Radar Data, 11th European Conference on Severe Storms, Bucharest, Romania, 8–12 May 2023, ECSS2023-63, https://doi.org/10.5194/ecss2023-63, 2023.
2022
- 2nd North American Workshop on Hail & Hailstorms - October - Boulder, CO
Title : A Convolutional Neural Network For The Detection Of Hail Storms By Dual-Polarization Radar.
YouTube Video : 5:08:35 https://youtu.be/fNcYBDHO8lY?t=18517
- 11th European Conference on Radar in Meteorology and Hydrology - ERAD2022 - August - Locarno, Switzerland
AIN - Artificial Intelligence Session
Title : Spatial Reflectivity Based Hail Detection Using Deep Learning
Description : Convolutional Neural Network for the detection of hail within storms using radar polarimetric data.
Conference website : https://www.erad2022.ch
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