Descripción del proyecto
Estrategia de simulación para crear un laboratorio virtual del fuego en 3D
El fuego es una perturbación que puede caracterizarse en la modelización atmosférica a gran escala (modelos de predicción) a través de un inventario de emisiones derivado de productos de observación de la Tierra (OT). El objetivo del proyecto 3DFIRELAB, financiado con fondos europeos, es crear una herramienta de modelización basada en la física capaz de estudiar la transferencia de energía a partir de imágenes de incendios. Esta ayudará a comprender los efectos de las plumas de humo y las llamas de los incendios en productos de teledetección de OT. Este laboratorio virtual del fuego en 3D capitalizará la experiencia de la organización anfitriona en el seguimiento y la modelización del fuego, así como los esfuerzos recientes de los socios del proyecto en el desarrollo de la representación atmosférica en modelos de transferencia radiativa y los efectos del fuego en modelos atmosféricos.
Objetivo
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)Coordinador
08034 Barcelona
España