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MODEST Challenge

Environment and Security Modelling

The impact of human activities on the environment and security is an important social issue. CERFACS teams have developed in recent years recognized expertise in the field of natural and industrial risks through their contributions to the projects related to the monitoring of the environment and natural resources, natural and industrial sites at risk. This work was undertaken in synergy with CERFACS partners.  The main  activities are:

  • the impact of transportation modes on climate and atmospheric composition;
  • the air quality at regional and global scales;
  • the simulation of forest fire;
  • the simulation and flood forecasting;
  • the study of industrial sites and explosion risks.

The diversity of the studied risks  results in a diversity of objectives (monitoring, alerting, re-analysis, scenario …), spatio-temporal scales (from a few hundred meters to several hundred kilometers), simulation tools (CFD, hydrodynamics, front propagation, aerodynamics) and algorithms to estimate the risk (direct numerical simulation, optimization and assimilation methods, methods for quantifying uncertainties, multi-dimensional code coupling and / or multi-physics ).

The MODEST challenge integrates a strong digital component and mobilizes all CERFACS teams.  The MODEST Challenge is related to the transverse lines of research “Data Assimilation and Optimization“, “Uncertainties” and the application axis “Environment“, “Combustion“, “Aerodynamics” and “Climate“.

Objectives

The MODEST Challenge aims to develop:

  • innovative methodological tools (modeling at different scales, coupling between physical and chemical processes, code coupling and data assimilation) applied to concrete problems encountered by the CERFACS associate members;
  • applications to the decision aspiring for operational, particularly for air quality, the spread of forest fires and hydrology / hydraulics.

Projects

Started in late 2014, the MODEST Challenge enabled the initiation of works in the fields of air quality and hydrology, notably through  European projects (MACC, EoCoE) and national projects (LEFE, SCHAPI, TOSCA) .

Flood forecasting and flood

hydro

Multi-dimensionnal 1D/2D hydraulics coupling en hydraulique, with data      assimilation on the Adour.

 

 

Modeling and flood forecasting answer a major challenge: managing water resources and natural hazards. At CERFACS, data assimilation methods are implemented to improve the predictive capacity of hydraulic numerical models limited by uncertainties on knowledge of watersheds, meteorological, hydrological and geographical. The DAMP platform enables real-time forecasting of floods from a river hydraulics code. Works multi-dimensional coupling for 1D / 2D hydraulics allow to model complex flows by limiting the cost calculations in order  to meet the operational and industrial constraints.

 

 

More about it…

 

Wildland fire spread and emissions

front_fire

Corrections of simulated fire front (blue) by the assimilation of aribone observations (gray) to obtain an analyzed front position.

 

The improvement of real-time forecasting systems for the spread of forest fires and associated emissions paves the way for direct applications on emergency fire risk management and quality management of the regional air and climate scale. The FIREFLY platform, co-developed by CERFACS and the University of Maryland (Dept. of Fire Protection Engineering, USA) is based on a comprehensive set-data assimilation algorithm type Kalman filter, implemented on a model semi-empirical spread of fire front. This system combines parameter estimation (surface wind, humidity and plant fuel properties) and state estimation (the position of the fire front) to improve the prediction of the position of the fire front in real time.

 

 

 

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Aviation and environment

Evaluation de l'impact des émissions anthropiques

 

CERFACS assesses the impact of anthropogenic emissions that affect atmospheric chemistry and radiation balance by complex and indirect mechanisms (streaks of water vapor condensation on aerosols, soot particles responsible for the formation of cirrus clouds, emissions ‘nitrogen oxides …) that disrupt the natural cycles, including that of ozonne, which, combined with other chemical cycles, have an impact on the anthropogenic greenhouse effect

 

 

NEWS

Thierry Poinsot officially entered the French Academy of Sciences

CERFACS |  8 November 2021

Thierry Poinsot officially entered the French Academy of Sciences on October 12. See presentation here :Read more


The AVBP code from CERFACS at the heart of for PRACE projects from the 23rd call

CERFACS |  30 September 2021

Cerfacs is involved in three PRACE projects of the 23rd call for which hour allocation runs from 01/10/2021 to 30/09/2022. Researchers from ECL/LMFA UMR5509 (Ecole Centrale de Lyon) and IMFT (UMR 5502) laboratories have earned projects entirely based on the use of the LES solver developed by Cerfacs AVBP and involve the support of experts from the CFD and COOP teams underling the importance and effectiveness of collaborations between French labs and Cerfacs. Alexis Giauque from ECL/LMFA UMR5509 (Ecole Centrale de Lyon) has obtained not only one but two PRACE projects! The first project LESFAN (RA0101, 30 000 000 CPU hours on Irene/Rome TGCC) is based on the use of AVBP in the turbomachinery version to study the generation of noise by a fan of a real airplane engine. The second, PRACE-EDGES (RA0101, 40 000 000 CPU hours on Irene/Rome TGCC) focuses on LES modeling of dens gas in complex geometries. To do so, the LMFA Team has developed advanced thermodynamic closures in AVBP allowing the direct simulation of such flows. Laurent Selle from IMFT (UMR 5502) has received CPU hours for the GASTON project (RA0061, 30 000 000 CPU hours on Marenostrum BSC) which aims to study the structure of hydrogen flames in porous materials. For this, IMFT and Cerfacs will perform coupled simulations considering the reactive flow with AVBP as well as the conduction in the porous medium with AVTP which is known to play an central role in the flame stabilization process. Carlos Perez Arroyo from IMFT (UMR 5502) received 16 Mh CPU hours on Joliot-Curie Skylake partition to support his project WONDER.Read more

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