A5018459762- Atmospheric and Environmental Gas Dynamics
- Methane Hydrates and Related Phenomena
- Atmospheric Ozone and Climate
- Hydrocarbon exploration and reservoir analysis
- Atmospheric chemistry and aerosols
- Arctic and Antarctic ice dynamics
- Climate change and permafrost
- Spectroscopy and Laser Applications
- Climate variability and models
- Marine and coastal ecosystems
- Geophysics and Gravity Measurements
- Seismic Waves and Analysis
- Air Quality Monitoring and Forecasting
- Sustainability in Higher Education
- Graphite, nuclear technology, radiation studies
- Medical Imaging Techniques and Applications
- Climate Change Policy and Economics
- Vehicle emissions and performance
- Groundwater and Isotope Geochemistry
- Climate Change and Health Impacts
- Conferences and Exhibitions Management
- CO2 Sequestration and Geologic Interactions
- NMR spectroscopy and applications
- Seismic Imaging and Inversion Techniques
- Global Energy and Sustainability Research
Swiss Federal Laboratories for Materials Science and Technology
2023-2025
Laboratoire des Sciences du Climat et de l'Environnement
2019-2024
Université de Versailles Saint-Quentin-en-Yvelines
2019-2024
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2019-2024
Centre National de la Recherche Scientifique
2019-2024
CEA Paris-Saclay
2021-2024
Université Paris-Saclay
2021-2024
London Rebuilding Society
2024
Abstract. Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. Emissions atmospheric concentrations of CH4 continue increase, maintaining as second most human-influenced greenhouse gas in terms forcing after carbon dioxide (CO2). The relative importance compared CO2 temperature change related its shorter lifetime, stronger radiative effect, acceleration growth rate over past decade, causes which are still...
Abstract Emissions from fossil fuel exploitation are a leading contributor to global anthropogenic methane emissions, but highly uncertain. The lack of reliable estimates hinders monitoring the progress on pledges towards reductions. Here we analyze emissions coal, oil and gas for major producing nations across suite bottom-up inventories inversions. Larger disagreement in exists oil/gas sector compared arising mostly disparate data sources emission factors. Moreover, reported United Nations...
Abstract. We investigate the causes of renewed growth atmospheric methane (CH4) amount fractions after 2007 by using variational inverse modeling with a three-dimensional chemistry-transport model. Together CH4 fraction data, we use additional information provided observations isotopic compositions (13C : 12C and D H) to better differentiate between emission categories compared differentiation achieved assimilating alone. Our system allows us optimize either emissions only or both source...
Abstract. In this study, we provide an update on the methodology and data used by Deng et al. (2022) to compare national greenhouse gas inventories (NGHGIs) atmospheric inversion model ensembles contributed international research teams coordinated Global Carbon Project. The comparison framework uses transparent processing of net ecosystem exchange fluxes carbon dioxide (CO2) from inversions estimates terrestrial stock changes over managed land that can be evaluate NGHGIs. For methane (CH4),...
Abstract. Atmospheric inversion approaches are expected to play a critical role in future observation-based monitoring systems for surface fluxes of greenhouse gases (GHGs), pollutants and other trace gases. In the past decade, research community has developed various software, mainly using variational or ensemble Bayesian optimization methods, with assumptions on uncertainty structures prior information atmospheric chemistry–transport models. Each them can assimilate some all available...
Abstract The scrutiny over the carbon footprint of academics has increased rapidly in last few years. This resulted a series publications providing various estimates one or several research activities, principally at scale university center or, more recently, field research. variety tools methodologies - on which these rely unfortunately prevents from any direct comparison because sensitivity assessments to variations scope and key parameters such as emission factors. In an effort enabling...
Abstract. In this study, we provide an update of the methodology and data used by Deng et al. (2022) to compare national greenhouse gas inventories (NGHGIs) atmospheric inversion model ensembles contributed international research teams coordinated Global Carbon Project. The comparison framework uses transparent processing net ecosystem exchange fluxes carbon dioxide (CO2) from inversions estimates terrestrial stock changes over managed land that can be evaluate NGHGIs. For methane (CH4),...
Abstract. Characterizing methane sources in the Arctic remains challenging due to remoteness, heterogeneity and variety of such emissions. In situ campaigns provide valuable datasets reduce these uncertainties. Here we analyse data from summer 2014 SWERUS-C3 campaign eastern Ocean, off shore Siberia Alaska. Total concentrations methane, as well relative 12CH4 13CH4, were measured continuously during this for 35 d July August. Using a chemistry-transport model, link observed isotopic ratios...
Abstract. Atmospheric CH4 mole fractions resumed their increase in 2007 after a plateau during the 1999–2006 period, indicating relative changes sources and sinks. Estimating by exploiting observations within an inverse modeling framework (top-down approaches) is powerful approach. It is, nevertheless, challenging to efficiently differentiate co-located emission categories sinks using alone. As result, top-down approaches are limited when it comes fully understanding burden attributing these...
Abstract. The Community Inversion Framework (CIF) brings together methods for estimating greenhouse gas fluxes from atmospheric observations. While the analytical and variational optimization implemented in CIF are operational have proved to be accurate efficient, initial ensemble method was found incomplete could hardly compared other employed inversion community, mainly owing strong performance limitations absence of localization methods. In this paper, we present evaluate a new...
Abstract This study investigates the requirements for estimating CO 2 emissions at country scale using observational data from Integrated Carbon Observation System (ICOS) atmosphere network, taking Italy as a case study. In particular, we explore potential expansion of Italy’s current atmospheric ICOS network by identifying additional existing and future stations that would most effectively improve constraint carbon flux estimations, with focus on southern region. Through series Observing...
Abstract. Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. CH4 second most human-influenced greenhouse gas in terms of forcing after carbon dioxide (CO2), both emissions atmospheric concentrations have continued increase since 2007 a temporary pause. The relative importance compared those CO2 temperature change related its shorter lifetime, stronger radiative effect, acceleration growth rate over past...
Abstract. The Arctic is a critical region in terms of global warming. Environmental changes are already progressing steadily high northern latitudes whereby, among other effects, potential enhanced methane (CH4) emissions induced. With CH4 being potent greenhouse gas, additional from regions may intensify warming the future by positive feedback. Various natural and anthropogenic sources currently contributing to Arctic’s budget; however quantification those remains challenging. Assessing...
Abstract. Atmospheric inversion approaches are expected to play a critical role in future observation-based monitoring systems for surface greenhouse gas (GHG) fluxes. In the past decade, research community has developed various softwares, mainly using variational or ensemble Bayesian optimization methods, with assumptions on uncertainty structures and prior information atmospheric chemistry-transport models. Each of them can assimilate some all available observation streams its domain area...
Abstract. Methane (CH4) is the second strongest anthropogenic greenhouse gas after carbon dioxide (CO2) and responsible for about 20 % of warming induced by long-lived gases since pre-industrial times. Oxidation hydroxyl radical (OH) dominant atmospheric sink methane, contributing to approximately 90 total methane loss. Chemical losses reaction with atomic oxygen (O1D) chlorine radicals (Cl) in stratosphere are other sinks, 3 destruction. Moreover, Cl very fractionating, thus it has a much...
Abstract. The Arctic is a critical region in terms of global warming. Environmental changes are already progressing steadily high northern latitudes, whereby, among other effects, potential for enhanced methane (CH4) emissions induced. With CH4 being potent greenhouse gas, additional from regions may intensify warming the future through positive feedback. Various natural and anthropogenic sources currently contributing to Arctic's budget; however, quantification those remains challenging....
Abstract. Atmospheric methane (CH4) concentrations have been rising since 2007 due to an imbalance between CH4 sources and sinks. The budget is generally estimated through top-down approaches using chemistry transport models (CTMs) observations as constraints. atmospheric isotopic composition, δ13C(CH4), can also provide additional constraints helps discriminate emission categories. Nevertheless, be able use the information contained in these observations, must correctly account for...
Abstract. We investigate the causes of renewed growth atmospheric methane (CH4) mole fractions after 2007 by using variational inverse modelling with a three-dimensional chemistry-transport model. Together CH4 fraction data, we use additional information provided observations isotopic com-positions (in 13C:12C and in D:H) to better differentiate between emission categories compared as-similating alone. Our system allows us optimize either emissions only or both source signatures...
Abstract. The Community Inversion Framework (CIF) brings together methods for estimating greenhouse gas fluxes from atmospheric observations. While the analytical and variational optimization implemented in CIF are operational have proved to be accurate efficient, initial ensemble method was found incomplete could hardly compared other employed inversion community, mainly owing strong performance limitations absence of localization methods. In this paper, we present evaluate a more efficient...