Conference Program

Monday 03/11 : Experimental wildfire studies

• 9:00-10:00 Cyrielle Denjean, CNRM
  The southern EUrop biomass BURning project ▶️ Watch the recording

• 10:00-10:40 Alexander Filkov, The University of Melbourne
  Advancing Wildfire Preparedness: Experimental Insights into Dynamic Fire Behaviours ▶️ Watch the recording

• 10:40-11:20 Ha-Ninh Nguyen, The University of Melbourne
  A new framework to characterize firebrand generation and their 3D reconstruction model ▶️ Watch the recording

• 11:20-12:00 Misarah Abdelaziz, CSIRO
  CSIRO Bushfire Behaviour and Suppression team and firebrand studies ▶️ Watch the recording

• 15:40-16:40 Plenary lecture Francesca di Giuseppe, ECMWF
  A Data‑Driven Journey towards Fire Activity Prediction
  ▶️ Watch the recording

• 16:40-17:20 Ronan Paugam, Universitat Politècnica de Catalunya
  A summer with FCI-MTG ▶️ Watch the recording

• 17:20-18:00 Adrien Guyot, Bureau of Meteorology / University of Queensland
  Weather radar to provide intelligence on hazards associated to wildfire plumes and clouds ▶️ Watch the recording

• 18:00-18:40 François Pimont, INRAE
  Towards a new series of tools to model wildfire danger and hazard in France ▶️ Watch the recording

Tuesday 04/11 : Multi-scale modelling of wildfires

• 8:30-9:30 Plenary lecture Adam Kochanski, San Jose State University
  AI applications in the modelling group at SJSU Wildfire Interdisciplinary Research Center ▶️ Video Not available

• 09:30-10:00 Mélanie Rochoux, Cerfacs
  Modelling wildland fire behaviour using data assimilation ▶️ Watch the recording

• 10:20-10:45 Tristan Roelofs, Wageningen University
  Wildfire-atmosphere interactions during the Santa Coloma de Queralt fire: the development of a fire-induced circulation ▶️ Video Not available

• 10:45-11:15 Alberto Alonso Pinar, Université de Corse
  Modelling firebrands with a coupled fire‑atmosphere model ▶️ Watch the recording

• 11:15-11:45 Jean-Baptiste Filippi, CNRS
  Hands-on usage of ForeFire ▶️ Watch the recording

• 11:45-12:15 Alexander Van Hout, PXL University College
  Quantifying Fuel Consumption in Heathland Ecosystems: Towards Multi-Scale Fuel Mapping Using Remote Sensing Data Fusion ▶️ Watch the recording

• 16:00-17:00 Plenary lecture Mika Peace, Bureau of Meteorology
  ▶️ Watch the recording
• 17:00-17:40 Fabian Brännström, University of Wuppertal
  Wildfire Modeling – Importance of Highly-resolved Vegetation Structures ▶️ Watch the recording
• 17:40-18:20 Mirko D’Andrea // Nicolò Perello, CIMA Foundation
  From Research to Operational Tool: PROPAGATOR as an Open-Source Celluar Automata Wildfire Simulator ▶️ Watch the recording
• 18:20-18:40 Roberta Baggio, Université de Corse
  Firecast: Towards an Operational Tool Integrating Atmospheric Dynamics ▶️ Watch the recording

Wednesday 05/11: Machine Learning Approaches for Wildfire and Other Natural Risks

• 8:30-9:30 (PLENARY) Jean-Christophe Calvet, CNRM
  Monitoring vegetation’s response to drought by assimilating in situ and satellite data ▶️ Watch the recording
• 9:30-10:10 Yann Baehr, CNRM
  Using artificial intelligence to monitor live fuel moisture content across France ▶️ Watch the recording
• 10:00-10:20 COFFEE BREAK
• 10:10-10:50 Jonathon Hirschi, University of Colorado Denver
  Transfer Learning with Recurrent Neural Networks of Fuel Moisture Content: Extending from 10h fuels to 1h and 100h ▶️ Watch the recording
• 10:50-11:30 Dominik Laux, OroraTech GmbH
  FIRE-AID: AI-powered fire spread modeling and decision support ▶️ Watch the recording

• 11:30-12:00 Baggio-Filippi-Thoreau, CNRS
  Rate of spread emulation using a NN in a fire spread solver

• 16:00-16:40 Romain Thoreau AgroParisTech
  Remote sensing and machine learning for fuel characterization in the context of wildfire simulation: Towards multisource and multimodal data analysis ▶️ Watch the recording
• 16:40-17:00 Jean-Baptiste Filippi, CNRS
  METFLIX: streaming HD weather simulations as continuous video flux and different compression methods for radar, lightning, hotspots, etc ▶️ Watch the recording
• 17:00-17:30 Karlee Zammit, Natural Resources Canada
  Subseasonal Forecasting of Fire Weather Using Long Short-Term Memory Networks ▶️ Watch the recording
• 17:30-18:00 Sibo Cheng, ENPC
  Towards stochastic differentiable wildfire prediction with physics- and neural-network-based models
  ▶️ Watch the recording

Thursday 06/11: AI in Weather Forecasting

• 8:30-9:30 (PLENARY) Laure Raynaud, Météo-France
  AI for weather forecasting: state of the art ▶️ Watch the recording
• 9:30-10:10 David Landry, INRIA Paris
  Probabilistic in-situ weather forecasting.
  ▶️ Watch the recording
• 10:00-10:20 COFFEE BREAK
• 10:10-10:50 Julia Garcia-Cristobal, CNRM
  Statistical downscaling for urban meteorology at hectometric scale ▶️ Watch the recording

• 10:50-11:30 Kilian Pujol, LAERO
  Improving prediction of heavy rainfall in Corsica with Neural-Networks ▶️ Watch the recording

• 16:00-17:00 (PLENARY) Sylvain Cros, LMD Polytechnique
  Surface solar irradiance forecasting using deep learning on geostationary meteorological satellite images ▶️ Video Not available
• 17:00-17:40 Diego Grante - Université de Corse
  Challenges of Transfer Learning in Wind Speed Forecasting: Understanding Negative Transfer Effects ▶️ Watch the recording
• 17:40-18:00 Roberta Baggio, Université de Corse
  Short‑term local wind forecasting with NN using NWP and ground station data ▶️ Watch the recording

Friday 07/11: Perspectives

▶️ Video Not available

Some pictures