Unraveling climate targets across the Paris conurbation as a gauge of city ambitions
Albarus I., Utard H., Lauvaux T., Ciais P., Crifo P.,Gros V.
Nos publications scientifiques
Découvrez une sélection d’articles récents rédigés par les membres de notre équipe. Ces publications reflètent notre expertise et notre engagement dans le domaine de la science atmosphérique.
Découvrez une sélection d’articles récents rédigés par les membres de notre équipe.
Ces publications reflètent notre expertise et notre engagement dans le domaine de la science atmosphérique.
Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris
Lian J., Laurent O., Chariot M., Lienhardt L., Ramonet M., Utard H., Lauvaux T., Bréon F-M., Broquet G., Cucchi K., Millair L., and Ciais P.
A Gradient-Descent Optimization of CO2–CO–NOX Emissions over the Paris Megacity─The Case of the First SARS-CoV-2 Lockdown
Abdallah C., Lauvaux T., Lian J., Bréon F-M., Ramonet M., Laurent O., Ciais P., Denier van der Gon H., Dellaert S., Perrussel O., Baudic A., Utard H., and Gros V.
From CO2 emissions to atmospheric NO2 mixing ratios: simulating chemical processes and their impacts on TROPOMI retrievals over the Middle East
Cheliotis, I., Lauvaux, T., Lian, J., Christoudias, T., Georgiou, G., Badia, A., Chevallier, F., Kumar, P., Kudupaje, Y., Lei, R., and Ciais, P.
From political pledges to quantitative mapping of climate mitigation plans: Comparison of two European cities
Albarus I., Fleischmann G., Aigner P., Ciais P., Denier van der Gon H., Droge R., Lian J., Andrey Narvaez Rincon M., Utard H. & Lauvaux T.
Can we use atmospheric CO2 measurements to verify emission trends reported by cities? Lessons from a 6-year atmospheric inversion over Paris
Lian J., Lauvaux T., Utard H., Bréon F-M., Broquet G., Ramonet M., Laurent O., Albarus I., Chariot M., Kotthaus S., Haeffelin M., Sanchez O., Perrussel O., Denier van der Gon H., Dellaert S., and Ciais P.
Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants
Dumont Le Brazidec J., Vanderbecken P., Farchi A., Bocquet M., Lian J., Broquet G., Kuhlmann G., Danjou A., and Lauvaux T.
Measuring Atmospheric CO2 for Accelerating the Low-Carbon Transition in Cities: Origins.earth, from Paris to Italy
Cucchi, K., Lian, J., Rossi, A., Millair, L., Utard, H., Adamo, M., Duccini, D.
High-Resolution Lagrangian Inverse Modeling of CO2 Emissions Over the Paris Region During the First 2020 Lockdown Period
Nalini K., Lauvaux T., Abdallah C., Lian. J, Ciais P., Utard H., Laurent O., Ramonet M.
Assessing the Effectiveness of an Urban CO2 Monitoring Network over the Paris Region through the COVID-19 Lockdown Natural Experiment
Lian J., Lauvaux T., Utard H., Bréon F-M., Broquet G., Ramonet M., Laurent O., Albarus I., Cucchi K., and Ciais P.
Sensitivity to the sources of uncertainties in the modeling of atmospheric CO2 concentration within and in the vicinity of Paris
Lian J., Bréon F-M., Broquet G., Lauvaux T., Zheng B., Ramonet M., Xueref-Remy I., Kotthaus S., Haeffelin M., and Ciais P.
Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions
Danjou, A., Broquet, G., Lian, J., Bréon, F.-M., Eldering, A., Utard, H., and Lauvaux, T.