A5034764577- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Meteorological Phenomena and Simulations
- Geophysics and Gravity Measurements
- Hydrology and Sediment Transport Processes
- Environmental Monitoring and Data Management
- Fire effects on ecosystems
- Hydrology and Drought Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Plant Water Relations and Carbon Dynamics
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Remote Sensing and LiDAR Applications
- Transboundary Water Resource Management
- Groundwater flow and contamination studies
- Cruise Tourism Development and Management
- Precipitation Measurement and Analysis
- Color Science and Applications
- Water Quality Monitoring Technologies
- Energy Harvesting in Wireless Networks
- demographic modeling and climate adaptation
- Satellite Communication Systems
- Tropical and Extratropical Cyclones Research
- Insect and Arachnid Ecology and Behavior
- Aquatic Ecosystems and Biodiversity
CS Communication & Systèmes (France)
2020-2025
Centre National d'Études Spatiales
2023
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique
2014-2022
Jet Propulsion Laboratory
2019-2022
Laboratoire d’Études en Géophysique et Océanographie Spatiales
2015-2020
Centre National de la Recherche Scientifique
2014-2018
Université Toulouse III - Paul Sabatier
2017-2018
Institut de Recherche pour le Développement
2017-2018
Université de Toulouse
2017-2018
University of Maryland, College Park
2014-2015
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 (LSMs) are widely used to study the continental part of water cycle. However, even though their accuracy is increasing, inherent model uncertainties can not be avoided. In meantime, remotely sensed observations cycle variables such as soil moisture, lakes and river elevations more frequent accurate. Therefore, those two different types information combined, using data assimilation techniques reduce a model's in its state or/and input parameters. The objective...
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,...
The advent of wide-swath interferometry, exemplified by the Surface Water and Ocean Topography (SWOT) mission, is transforming inland water observation with unprecedented spatial coverage. This study explores potential wide-swath-derived discharge data to enhance dynamics river networks at continental scale through hydrological modeling assimilation. Using NASA's RAPID model in a synthetic framework, we evaluate improvements Mississippi River basin under high-frequency observing...
Abstract The transport of freshwater from continents to oceans through rivers has traditionally been estimated by routing runoff land surface models within river obtain discharge. This paradigm imposes that errors are transferred discharge, yet the analytical propagation uncertainty discharge never derived. Here we apply statistics continuity equation a network derive two equations propagate mean and variance/covariance independently. We validate these in case study western United States...
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...
Abstract The grand challenge of producing hydrometeorological estimates every time and everywhere has motivated the fusion sparse observations with dense numerical models, a particular interest on discharge in river modeling. Ensemble methods are largely preferred as they enable estimation error properties, but at expense computational load generally underestimations. These imperfect stochastic motivate use correction methods, that is, localization inflation, although physical justifications...
The SWOT mission (NASA, CNES, UK-SA, CSA) launched in December 2022 provides observations of surface inland water bodies at unprecedented resolution and accuracy. Here we focus on the Level 2 river products (heights widths 200m scale) assess their usability creating coupled hydrological-hydrodynamic simulations large scale basin where in-situ data are sparse. First use an automated toolchain that generates (i) mesh processed input for hydrological models SMASH [1] or MGB [2], (ii) coupling...
Abstract Despite being a critical component of Earth's water cycle, much remains unknown about freshwater fluxes in the world's rivers. Discharge can be estimated situ by monitoring surface elevation yet declining worldwide coverage gauges makes global discharge quantification challenging. Numerous studies have shown that satellite radar altimetry could provide estimates. In anticipation such groundbreaking datasets, one key question unanswered: how accurately various orbital configurations...
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 ROS formulation, order to propagate with a~level-set-based front-tracking simulator. In Part I, data system ensemble Kalman filter (EnKF)...
River flows are an essential component of the water cycle and directly accessible for human consumption activities. flux (i.e., river discharge) not only can be measured locally at <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> gauges but also estimated larger scales with routing models. However, number is declining worldwide while emerging river-related products from satellites becoming more available. Especially, discharge...
Abstract. Along rivers, where local insitu gauges are unavailable, estimation of river discharge undirectly derived from the Manning formula that relate to geomorphological characteristics rivers and flow conditions. Most components can currently be spaceborne products except for two features: unobserved always-wet bathymetry roughness coefficient. Global-scale applications use simplified equivalent riverbed shapes empirical parameters while local-scale rely on finer model dynamics, field...
In spite of astonishing advances and developments in remote sensing technologies, meeting the spatio-temporal requirements for flood hydrodynamic modeling remains a great challenge Earth Observation. The assimilation multi-source data 2D models participates to overcome such challenge. recently launched Surface Water Ocean Topography (SWOT) wide-swath altimetry satellite provides global coverage water surface elevation at high resolution. SWOT complementary observation radar optical images,...
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 not without non-negligible uncertainties; among which inexact input parameters have a significant part. The incoming Surface Water Ocean Topography (SWOT) satellite mission, launch schedule for 2021, will be dedicated measure elevations, widths slopes rivers larger than 100 meters at scale. SWOT provide amount new data...