Description du projet
Une stratégie de simulation pour créer un laboratoire d’incendie virtuel 3D
La perturbation par le feu est paramétrée dans la modélisation atmosphérique à grande échelle (modèles de prévision) via un inventaire des émissions basé sur les produits d’observation de la Terre (EO pour «earth observation»). Le projet 3DFIRELAB, financé par l’UE, vise à développer un outil de modélisation physique capable d’étudier le transfert d’énergie dans des scènes d’incendie à grande échelle qui nous permettra de comprendre les effets du panache et des flammes dans les produits d’observation de la Terre par télédétection. Ce laboratoire d’incendie virtuel 3D s’appuiera sur l’expérience de l’organisation hôte en matière de surveillance et de modélisation des incendies, ainsi que sur les efforts récents des hôtes partenaires dans le développement de la représentation atmosphérique dans les modèles de transfert radiatif et des effets du feu dans les modèles atmosphériques.
Objectif
This project develops a simulation strategy aiming to create a 3D virtual fire lab that can model radiative transfer in open landscape scale vegetation fire. The end objective is to help improving fire monitoring Earth Observation (EO) products. It builds on an initial system designed by the Experience Researcher (ER) during a previous European Space Agency project, and the coupling of models of fire spread, atmospherics dynamics and radiative transfer developed by the hosts. It takes opportunity of (a) the wide experience of the beneficiary host organization in fire monitoring and modeling, (b) recent efforts conducted by host partners to improve atmospheric representation in radiative transfer model and fire effects in atmospheric model, and (c) the ER’s experience in the fire remote sensing community. Fire disturbance is parameterized in large scale atmospheric modeling (e.g. forecast model) via emission inventory based on EO products. A well-established approach is to use the Fire Radiative Power product (FRP) to estimate total fire energy emission and infer the associated fuel mass consumption and trace gas emission. So far, the conversion from emissive radiative energy to mass consumption is based on a linear relationship that has only been demonstrated for small scale fire and little evidence are currently present to validate it in the context of large-scale fire scenario. The simulation strategy proposed here aims to setup a tool able to study energy transfer in large-scale fires that will help us understand the roles of the flames and the plume to eventually evaluate their sensitivity in the fire emission FRP retrievals. While project results have potential high application in the atmospheric community, the training organized with the host and the two partners will provide a wide range of expertise in atmospheric dynamics, radiative transfer, image processing, fire modeling, data science that will enrich ER's career prospective.
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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
08034 Barcelona
Espagne