FORCADELL Vincent

  Sommaire  



Vincent FORCADELL

CNRM UMR 3589 (Météo-France/CNRS)

GMME/PRECIP

Précipitations convectives et impacts

42, Av. G. Coriolis

31057 Toulouse Cedex 1, France

Tél. +33 (0) 5 61 07 97 17

email : vincent.forcadell@meteo.fr

https://orcid.org/0000-0002-4519-4000

  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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