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Wildland fire propagation

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Context

feuxWildland fire is a global issue for all climates, from mediterannean region to boreal ecosystems with 3-4% of continental vegetal surface burning each year. The risk associated with wildland fire relates to crisis management (for instance, charte internationale Espaces et Catastrophes majeures), air quality due to high emissions in the atmosphere (carbon dioxide, nitrogen oxide, organic volatile components, aerosols, …), for example in the Prev’Air system.

➤ Wildland fire modeling is a complex question as it couples numerous physical processes at a large range of spatial scales (from local vegetation scale to meso-scale atmospheric dynamics). As of today, the ability to forecast large scale wildland fire remains limited: major uncertainties relate to the description of environmental (vegetation, geomorphology, meteoroloy) conditions as well as approximate description of interactions between vegetation, fire and atmosphere. These uncertainties translate into errors in the simulation of the fire intensity, the generation, the transport and the chemical evolution of plumes of smoke.

➤ The Wildland fire research project is part of the MODEST challenge. It is at the crossroads of transversal axis at CERFACS such as “Data Assimilation” and “Uncertainty Quantification”.

 

Objectives

Developed in collaboration between CERFACS and the University of Maryland, FireFly is a data-driven front-tracking simulator based on the assimilation of thermal-infrared imaging data, with the goal of improving wildfire spread forecasting for public safety and environmental protection. An ensemble-based data assimilation algorithm allows to sequentially correct input model parameters (surface wind, humidity and description of the vegetation properties) in order to improve wildland fire propagation forecast.

➤ Improve the wildland fire behavior in terms of surface propagation as well as in terms of emissions released to the atmosphere.

➤ Develop ensemble-based data assimilation methods while limiting the computational cost, for instance using uncertainty quantification methods, especially for stochastic estimate of error statistics.

➤ In the long term : apply data assimilation methods to surface fire/atmosphere coupled systems (ex : FOREFIRE-MesoNH)

feux_firefly_simu

Simulation de la propagation d’un incendie sur un terrain complexe avec FIREFLY

 

Tools and Methods

The FIREFLY platform is developed in collaboration between CERFACS and the University of Maryland. FireFly simulates wildfire spread scenarios at regional scales. FireFly is a data-driven front-tracking simulator based on the assimilation of thermal-infrared imaging data, with the goal of improving wildfire spread forecasting for public safety and environmental protection. An inverse modeling strategy is applied, based on the assimilation of the fire front location. The idea underlying the ensemble Kalman filter (EnKF) strategy is to translate the differences in the observed and simulated fire front locations into a correction of the environmental parameters (ex: biomass fuel moisture content, near-surface wind) or directly of the simulated fire front location. FIREFLY relies on the OpenPALM software developed by CERFACS and ONERA to combine the propagation model and the data assimilation algorithm.

 

Highlights

• 2015 : Application of FIREFLY to the FIREFLUX experiment (controled fire over 30 acres) in the framework of Cong Zhang’s PhD (UMD).


• 2014 :
Comparison of parameter and state estimation in analysis and forecast mode.


• 2013 :
Extension of FIREFLY to the treatment of fire propagation over complex terrain topography.


• 2012 :
Participation in the CTR Summer Program, Stanford University : Implementation of a polunomial chaos strategy in the framework of ensemble-based data assimilation.


• 2011 :
Application of FIREFLY to controlled fire at reduced scales in the framework of Mélanie Rochoux’s PhD (CERFACS/Ecole Centrale Paris)


• 2010 :
Preliminary developments of FIREFLY (M2 internship, M. Rochoux, CERFACS-UMD

 

Partners

 UMD (University of Maryland)

 

Projects

  • LEFE MANU/CHAT (EMIFIRE : a new submitted project in collaboration with LMD)
  • ANR (IDEA 2010-2014)
  • NSF (WIFIRE 2013-2016)

 

Publications

NEWS

Young PhD day (JDD) – Thursday 8 October 2020

Brigitte Yzel |  24 September 2020

  Ph.D. Students' Day (JDD 2020) Thursday 8 October 2020 Virtual event open to our partners and associates   Planning   The 2020 edition of the PhD Students' Day will take place on October 8th, 2020. This year, this day of the PhD students of the Cerfacs, will take place mainly in visio in order to respect all the health safety measures relating to Covid-19. This day will be held in a virtual way through oral presentations filmed and broadcast on a private link, which we will distribute to all participants. Everyone will thus be able to discover at a distance the subjects developed by the doctoral students. At the same time, the "Posters session" will be opened on the morning of the JDD, by sending all the posters in pdf format by e-mail to all the participants for consultation, and by opening the "50-minute question session" on a channel whose links we will send you. This will allow participants to ask questions about the posters of the session. Finally, we have included in this 5th edition a great novelty, by allowing several students to present their subject in the popularised form of "My thesis in 3 minutes", guided by Matthieu Pouget, actor and theatre director. This day will end with the vote for the "Best poster" and the "Best presentation of My thesis in 3 minutes". Participation in the event is free of charge. However, for logistical reasons, registration, only by invitation, is mandatory.   Organising Committee:  Scientific committee  Nicolas Venkovic Victor Xing Inscription &  information Jade Schweiger Brigitte Yzel  Read more


Sparse Days 2020, Cerfacs

Brigitte Yzel |  24 September 2020

Sparse Days Meeting 2020  23 - 24 November 2020 Virtual Workshop   The annual Sparse Days meeting will be held this year as a virtual event, on 23 - 24 November 2020. Sadly, because of the pandemic, we will not be able to have a normal face-to-face Sparse Days at Cerfacs this year. We will be holding an online version from 3pm to 7pm on 23 and 24 November. The timing is chosen to accommodate participants from North America since, at normal Sparse Days, we have a good representation from there. A registration form  is available on this conference website where you can also submit a title and an abstract for any proposed talk. We will probably be using the Webex system and will post details about how to connect to all people who register.Read more

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