A5019560085- Fire effects on ecosystems
- Meteorological Phenomena and Simulations
- Wind and Air Flow Studies
- Plant Water Relations and Carbon Dynamics
- Fire dynamics and safety research
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Air Quality Monitoring and Forecasting
- Atmospheric aerosols and clouds
- Landslides and related hazards
- Climate variability and models
- Probabilistic and Robust Engineering Design
- Air Quality and Health Impacts
- Tree Root and Stability Studies
- Fire Detection and Safety Systems
- Aerodynamics and Fluid Dynamics Research
- Cryospheric studies and observations
- Hydrology and Drought Analysis
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Computer Graphics and Visualization Techniques
- Fluid Dynamics and Turbulent Flows
- Water Systems and Optimization
- Agriculture and Rural Development Research
Géosciences Environnement Toulouse
2018-2025
Climat, Environnement, Couplages et Incertitudes
2016-2025
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique
2015-2024
Université de Toulouse
2019-2023
Centre National de la Recherche Scientifique
2012-2023
Laboratoire d'Énergétique Moléculaire et Macroscopique, Combustion
2014-2015
École Centrale Paris
2012-2015
Environment and Climate Change Canada
2015
Laboratoire Sciences de l'Univers au Cerfacs
2014
Abstract. This paper is the first part in a series of two articles and presents data-driven wildfire simulator for forecasting spread scenarios, at reduced computational cost that consistent with operational systems. The prototype features following components: an Eulerian front propagation solver FIREFLY adopts regional-scale modeling viewpoint, treats wildfires as surface propagating fronts, uses description local rate fire (ROS) function environmental conditions based on Rothermel's...
Abstract. This paper is the second part in a series of two articles, which aims at presenting data-driven modeling strategy for forecasting wildfire spread scenarios based on assimilation observed fire front location and sequential correction model parameters or state. relies an estimation local rate (ROS) as function environmental conditions Rothermel's semi-empirical formulation, order to propagate with Eulerian front-tracking simulator. In Part I, data (DA) system ensemble Kalman filter...
Abstract. Land surface models combined with river routing are widely used to study the continental part of water cycle. They give global estimates flows and storages, but they not without non-negligible uncertainties, among which inexact input parameters play a significant part. The incoming Surface Water Ocean Topography (SWOT) satellite mission, launch scheduled for 2021 required lifetime at least 3 years, will be dedicated measuring elevations, widths slopes rivers wider than 100 m,...
Abstract Clear‐Air Turbulence (CAT) is associated with wind shear in the vicinity of jet streams upper atmospheric levels. This turbulence occurs cloudless regions and causes most weather‐related aircraft accidents. Recent studies have shown that response to climate change, CAT could significantly increase over certain as a consequence strengthening streams. In this study we use several reanalyses coupled model experiments database evaluate recent future changes Northern Hemisphere. Several...
By 2050, two-thirds of the world's population will live in urban areas under climate change, exacerbating environmental and public health risks associated with poor air quality heat island effects. Assessing these requires development microscale meteorological models that quickly accurately predict wind velocity pollutant concentration high resolution, as heterogeneity environments leads to complex patterns strong gradients. Computational Fluid Dynamics (CFD) has emerged a powerful tool...
The National Science Foundation via Award #1331615 as part of the Interdisciplinary Research in Hazards and Disasters (Hazards SEES) program.
Abstract The continental part of the water cycle is commonly represented with hydrological models. Yet, there are limits in their capacity to accurately estimate storage and dynamics because coarse spatial resolution, simplified physics, an incomplete knowledge atmospheric forcing input parameters. These errors can be diminished using data assimilation techniques. model’s most sensitive parameters should identified beforehand. objective present study highlight key impacting river-routing...
The objective of this study is to develop a prototype data-driven wildfire simulator capable forecasting the fire spread dynamics. simulation capability features following main components: level-set-based propagation solver that adopts regional scale viewpoint, treats wildfires as propagating fronts, and uses description local rate (ROS) function vegetation properties wind conditions based on Rothermel's model; series observations front position; data assimilation algorithm an Ensemble...
We present a shape-oriented data assimilation strategy suitable for front-tracking problems through the example of wildfire. The concept “front” is used to model, at regional scales, burning area delimitation that moves, undergoes shape and topological changes under heterogeneous orography, biomass fuel micrometeorology. simulation-observation discrepancies are represented using front similarity measure deriving from image processing based on Chan-Vese contour fitting functional. show...
Abstract. This paper is the first part in a series of two articles and presents data-driven wildfire simulator for forecasting spread scenarios, at reduced computational cost that consistent with operational systems. The prototype features following components: level-set-based fire propagation solver FIREFLY adopts regional-scale modeling viewpoint, treats wildfires as surface propagating fronts, uses description local rate (ROS) function environmental conditions based on Rothermel's model;...