More frequent occurrence of large wildfire events is a major public safety concern, as is their possible increase with climate change. Advances across a broad range of scientific disciplines can help predict the outcomes, guide decision support, and therefore help to mitigate losses from large wildfires.
In particular, we note the availability of large computing facilities and new observation systems that can enhance our ability to estimate and forecast wildfire.
The Numerical Wildfire 2020 workshop is specifically focused on this topic, gathering scientists to synthesize approaches that can provide pragmatic answers to current problems with tools that can be made available rapidly- i.e. within 1-2 years – to decision makers.
Fire and Earth system: Fire/micro-meteorology phenomena, emissions, large events and wildfire impact to the global scale.
Models and codes: Fire/micro-meteorology models and realistic surface/atmospheric boundary conditions required for validation and methods that support next generation decision systems.
Experiments and data: Experimental and real fire meteorology, design and identify measures, datasets and purposes of experimental data.
Uncertainty and risk: Determine the relevance of forecasts, data assimilation, quantify uncertainty and fire danger, and qualify economical assets at stake to quantify risk.
Along the week will also be presented the advances from the FIRECASTER project, whose object was to design bases for a support system large-wildfire simulation integrated multi-scale approach to the problem. The last day will be devoted to present these advances to fire managers that will be present in order to exchange with decision makers on which pragmatic answers can be relevant and expected.
Monday 11 May 2020: Fire and earth system (driven by IBBI)
Tuesday 12 May 2020: Models and codes
Wednesday 13 May 2020: Experiments and data with a round table on the collaborative fire in canyon experiment.
Thursday 14 May 2020: Uncertainty and Risk
Friday 15 May 2020: Review of existing tools and Decision support systems, exchange with practitioners.
Antoine Belgodère (Université de Corse)
Jean Baptiste Filippi(Université de Corse=
A 2 to 4 pages extended abstract (1000 to 2000 words) including a 300 words abstract must be sent to firstname.lastname@example.org (economics related) or email@example.com (physics related). Authors are encouraged to send abstract as early as possible, deadline for the submission of abstract: 15 January 2020.