A5062593740- Hydrology and Watershed Management Studies
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Particle accelerators and beam dynamics
- Flood Risk Assessment and Management
- Plasma Diagnostics and Applications
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
- Tree-ring climate responses
- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
- Water resources management and optimization
- Climate Change Communication and Perception
- Soil erosion and sediment transport
- Soil and Water Nutrient Dynamics
- Atmospheric Ozone and Climate
- Peatlands and Wetlands Ecology
- Climate change and permafrost
- Plant responses to elevated CO2
- Species Distribution and Climate Change
- Scientific Research and Discoveries
- Methane Hydrates and Related Phenomena
- Magnetic confinement fusion research
- Research Data Management Practices
Université Toulouse III - Paul Sabatier
2022-2024
Institut de Recherche pour le Développement
2022-2024
Centre National de la Recherche Scientifique
2011-2024
Géosciences Environnement Toulouse
2021-2024
Observatoire Midi-Pyrénées
2021-2024
Université de Toulouse
2023
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2021
Université Paris Cité
2020-2021
Forum Réfugiés - Cosi
2020-2021
Institut de physique du globe de Paris
2019-2021
Abstract. Assimilation of in situ and satellite data mechanistic terrestrial ecosystem models helps to constrain critical model parameters reduce uncertainties the simulated energy, water carbon fluxes. So far assimilation eddy covariance measurements from flux-tower sites has been conducted mostly for individual ("single-site" optimization). Here we develop a variational system optimize 21 ORCHIDEE biogeochemical model, using net CO2 flux (NEE) latent heat (LE) 12 temperate deciduous...
Abstract. We introduce EcH2O-iso, a new development of the physically based, fully distributed ecohydrological model EcH2O where tracking water isotopic tracers (2H and 18O) age has been incorporated. EcH2O-iso is evaluated at montane, low-energy experimental catchment in northern Scotland using 16 independent isotope time series from various landscape positions compartments, encompassing soil water, groundwater, stream plant xylem. The simulation results show consistent ranges temporal...
Abstract Root water uptake (RWU) by vegetation influences the partitioning of between transpiration, evaporation, percolation, and surface runoff. Measurements stable isotopes in have facilitated estimates depth distribution RWU for various tree species through methodologies based on end member mixing analysis (EMMA). EMMA often assumes that isotopic composition tree‐stored xylem (δ XYLEM ) is representative ). We tested this assumption within framework EcH 2 O‐iso, a process‐based...
Abstract. Large uncertainties in land surface models (LSMs) simulations still arise from inaccurate forcing, poor description of heterogeneity (soil and vegetation properties), incorrect model parameter values incomplete representation biogeochemical processes. The recent increase the number type carbon cycle-related observations, including both situ remote sensing measurements, has opened a new road to optimize parameters via robust statistical model–data integration techniques, order...
Abstract Intermittent rivers and ephemeral streams (IRES) are now recognized to support specific freshwater biodiversity ecosystem services represent approximately half of the global river network, a fraction that is likely increase in context changes. Despite large research efforts on IRES during past few decades, there need for developing systemic approach considers their hydrological, hydrogeological, hydraulic, ecological, biogeochemical properties processes, as well interactions with...
Abstract Predicting terrestrial carbon, C, budgets and carbon‐climate feedbacks strongly relies on our ability to accurately model interactions between vegetation, C water cycles, the atmosphere. However, fluxes simulated by global, process‐based biosphere models (TBMs) remain subject large uncertainties, partly due unknown or poorly calibrated parameters. This is because TBMs have not routinely been confronted against cycle related datasets within a statistical data assimilation (DA)...
Abstract While most landscapes respond to extreme rainfalls with increased surface water outflows, very flat and poorly drained ones have little capacity do this their common responses include (i) storage leading rising tables floods, (ii) evaporative losses, and, after reaching high levels of storage, (iii) liquid outflows. The relative importance these pathways was explored in the extensive plains Argentine Pampas, where two significant flood episodes (denoted FE1 FE2) occurred 2000–2003...
Abstract Spatially explicit knowledge of the origins water resources for ecosystems and rivers is challenging when using tracer data alone. We use simulations from a spatially distributed model calibrated by extensive ecohydrological sets in small, energy‐limited catchment, where hillslope‐riparian dynamics are broadly representative humid boreal headwater catchments that experiencing rapid environmental transition. hypothesize addition to wetness status, landscape heterogeneity modulates...
Abstract We used the new process‐based, tracer‐aided ecohydrological model EcH 2 O‐iso to assess effects of vegetation cover on water balance partitioning and associated flux ages under temperate deciduous beech forest (F) grassland (G) at an intensively monitored site in Northern Germany. Unique, multicriteria calibration, based measured components energy balance, hydrological function biomass accumulation, resulted good simulations reproducing soil surface temperatures, content,...
The critical zone (CZ) includes natural and anthropogenic environments, where life, energy matter cycles combine in complex interactions time space. Critical observatories (CZOs) have been established around the world, yet their limitations space duration of observations, as well oft-existing dominant disciplinary research field(s) each CZO may limit transferability local knowledge to other settings or hinder integrative CZ understanding. In this regard, review advocates for cross-site...
Abstract. This study uses a variational data assimilation framework to simultaneously constrain global ecosystem model with eddy covariance measurements of daily net exchange (NEE) and latent heat (LE) fluxes from large number sites grouped in seven plant functional types (PFTs). It is an attempt bridge the gap between numerous site-specific parameter optimization works found literature generic parameterization used by most land surface models within each PFT. The present multisite approach...
Abstract. Land surface models (LSMs), which form the land component of earth system models, rely on numerous processes for describing carbon, water and energy budgets, often associated with highly uncertain parameters. Data assimilation (DA) is a useful approach optimising most critical parameters in order to improve model accuracy refine future climate predictions. In this study, we compare two different DA methods seven plant functional types (PFTs) ORCHIDEE LSM using daily averaged...
Abstract Aim The mechanisms of plant trait adaptation and acclimation are still poorly understood and, consequently, lack a consistent representation in terrestrial biosphere models (TBMs). Despite the increasing availability geo‐referenced observations, current databases insufficient to cover all vegetation types environmental conditions. In parallel, growing number continuous eddy‐covariance observations energy CO 2 fluxes has enabled modellers optimize TBMs with these data. Past attempts...
Abstract. Assimilation of in situ and satellite data mechanistic terrestrial ecosystem models helps to constrain critical model parameters reduce uncertainties the simulated energy, water carbon fluxes. So far assimilation eddy covariance measurements from flux-tower sites has been conducted mostly for individual ("single-site" optimization). Here we develop a variational system optimize 21 ORCHIDEE biogeochemical model, using net CO2 flux (NEE) latent heat (LE) twelve temperate deciduous...
Abstract. This study explores the impact of structural error biosphere models when assimilating net ecosystem exchange (NEE) measurements or CO2 concentration to optimise uncertain model parameters within carbon cycle data assimilation systems (CCDASs). has been proven difficult identify and is often neglected in total uncertainty budget. We propose a simple method which derived from model-minus-observation mismatch statistics. diagnosis applied state-of-the-art biogeochemical using surface...
This study investigates the dynamic behavior of snow in semi-arid mountainous landscapes, emphasizing use isotope signal as a tool for tracing hydrological processes. Thin snowpack poses significant challenge, leading to extensive shifts values and complicating estimation catchment-average signatures. Traditional mixing models fall short such scenarios, necessitating detailed approaches involving sampling along pathway. The research employs tracer-enabled spatially-distributed, process-based...
In light of the major socio-environmental challenges our time, ensuring a safe and just world for humans non-humans calls profound changes in societies. According to 6th IPCC WG3 report, scale speed actions required keep global warming below +2°C are unparalleled at both individual institutional levels. Consequently, no sector nor activity - whether Global North or countries moving toward similar economic trajectories should be exempt from critical reflection on its suitability...
The snow-dominated headwaters of the Colorado River are water towers south-western US. Together with an increasingly unsustainable demand downstream in basin, transition to low- or no-snow conditions upstream coming decades has been profoundly altering hydrological regimes and resources for ecosystems societies. Looking at “supply side” this crucial issue, several studies intensively-monitored East catchment Upper (spanning shrub-dominated montane valley bottoms,...
« Scientifiques en Rébellion » (Scientists in Rebellion) is a collective of French scientists formed 2020 with the following goals: raising awareness seriousness scientific consensuses around climate change and ecological degradation, publicly denouncing inconsistencies greenwashing various actors. The also seeks to build balance power transform institutions companies meet environmental challenges, reorient higher education research. Since its...
This numerical study focuses on the physical mechanisms involved in extraction of volume-produced H− ions from a steady state laboratory negative hydrogen ion source with one opening plasma electrode (PE) which dc-bias voltage is applied. A weak magnetic field applied transversely to extracted beam. The goal highlight combined effects and PE bias (upon process electrons). To do so, we focus behavior electrons within two-dimensional model using particle-in-cell method. No collision processes...
Abstract. Large uncertainties in Land surface models (LSMs) simulations still arise from inaccurate forcing, incorrect model parameter values and incomplete representation of biogeochemical processes. The recent increase the number type carbon cycle related observations, including both situ remote sensing measurements, has opened a new road to optimize parameters via robust statistical model-data integration techniques, order reduce simulated fluxes stocks uncertainties. In this study we...
To limit global warming below 2°C, a drastic overall reduction from current green-house gas emissions is needed. Scientists should also participate in this effort their professional activity and especially Earth scientists, on the grounds of maintaining credibility leading by example. The strategies measures to reach low-carbon scientific require detailed estimates footprint laboratories. Here, we present six laboratories Earth, environmental space sciences, with comprehensive scope...