2024
Derbel, N., Alijah, A., Robertson, S., Lauvaux, T., and L. Joly: Part: First-generation products of hexenal ozonolysis: a new look at the mechanism, jp-2024-07608z, The Journal of Physical Chemistry, in review.
Alberti, R. C. A., Lauvaux, T., Vara-Vela, A. L., Barrero, R. S., Karoff, C., Andrade, M. D. F., Marques, M. T. A., Benavente, N. R., Cabral, O. M. R., da Rocha, H. R., and Ynoue, R. Y.: Monitoring and modeling seasonally varying anthropogenic and biogenic CO2 over a large tropical metropolitan area, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3060, 2024.
Albarus, I., T. Lauvaux, H. Utard, P. Crifo, P. Ciais, and V. Gros: Unraveling Climate Targets Across the Paris Conurbation: A Gauge of City Ambitions, submitted to Nature Urban Sustainability.
Kudupaje Laxmana, Y., T. Lauvaux, P. Ciais, J. Lian, I. Cheliotis, A. Rey Pommier, and P. Kumar: Bayesian Inversion of NO2 Emissions over Northern Egypt using TROPOMI-NO2 Satellite Observations, in prep. for Remote Sensing of Environment.
Nathan, B.; Xueref-Remy, I.; Lauvaux, T.; Yohia, C.; Piga, D.; Piazzola, J.; Oda, T.; Milne, M.; Herrmann, M.; Wimart-Rousseau, C.; et al. A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France. Atmosphere 2024, 15, 1193. https://doi.org/10.3390/atmos15101193
Matajira-Rueda, D., Abdallah, C., and T. Lauvaux: A novel inversely-weighted-clustered-based learning scheme to design optimal networks for atmospheric greenhouse gas monitoring, in prep. for Geoscientific Model Development.
Yuvaraj, R., Lauvaux, T., P. Ciais, C. Abdallah, A. Groshenry, J.-L. Bonne, N. Minh Hoang, L. Joly, and A. Ba: High-resolution modeling of methane plumes: validation and sensitivity experiments to explore UAV and satellite emission quantification approaches, in prep. for …
Langot, F., Crevoisier, C., Lauvaux, T., Abdallah, C., Pernin, J., Lin, X., Saunois, M., Guedj, A., Ponthieu, T., Roiger, A., Gottschaldt, K.-D., and Fiehn, A.: Evaluating Weather and Chemical Transport Models at High Latitudes using MAGIC2021 Airborne Measurements, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3559, 2024.
Langot, F., T. Lauvaux, C. Crevoisier, A. Berchet, C. Abdallah, A. Roiger, K.-D. Gottschaldt, A. Fiehn and S. Wittig: Local Flux Estimates of Methane in Kiruna Using the MAGIC2021 Dataset and Lagrangian Modelling, in prep. for Atmos. Chem. and Phys.
Ye, X., Li, W., Lauvaux, T., Lin, S., Zhang, Z., Lin, Y., Hua, J., You, Q., and Lin, J.: Constraining Anthropogenic CO2 Emissions using Dense Observations from OCO-3: Disentangling Observed Imprints over Xiamen-Zhangzhou-Quanzhou Metropolitan Area and Challenges, submitted to Urban Climate.
Che, K., Lauvaux, T., Taquet, N., Stremme, W., Xu, Y., Alberti, C., et al. (2024). CO2 emissions estimate from Mexico City using ground- and space-based remote sensing. Journal of Geophysical Research: Atmospheres, 129, e2024JD041297. https://doi.org/10.1029/2024JD041297
Taquet, N., W. Stremme, E. González del Castillo, A. Bezanilla, V. Almanza, O. Laurent, C. Alberti, F. Hase, M. Ramonet, T. Lauvaux, K. Che, and M. Grutter: CO2 and CO temporal variability over Mexico City from ground-based total column and surface measurements, submitted to Atmos. Chem. and Phys Discuss., https://doi.org/10.5194/egusphere-2024-512, 2024
Danjou, A., Broquet, G., Schuh, A., Bréon, F.-M., and Lauvaux, T.: Optimal selection of satellite XCO2 images over cities for urban CO2 emission monitoring using a global adaptive-mesh model, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-199, in review, 2023.
Baier, B. C., Miller, J. B., Sweeney, C., Lehman, S., Wolak, C., DiGangi, J. P., Davis, K. J., Barkely, Z. R., Feng, S., Lauvaux, T., and Y. Choi: Continental carbon dioxide source partitioning informed by radiocarbon: evaluation and applications, submitted to JGR-Atmos.
2023
Segura, Ricard; Lauvaux, T., Lian, J., Ciais, P., Badia, A., Ventura, S., Bazzi, H., Ezzeddine, A., Fu, Z., and Villalba, G.: Heat and drought events dwindle biogenic capacity to balance CO2 budget in South-western Europe, submitted to Global Change Biology.
Guisiano, J. E., Tzompa Sosa, Z. A., Lauvaux, T., Moulines, E., and J. Sublime: Dynamic & Intelligent Methane Emissions Inventory : Next-generation methane emission inventory for oil & gas industry based on Artificial Intelligence, submitted to iScience.
Vallet, L., Abdallah, C., Lauvaux, T., Joly, L., Ramonet, M., Ciais, P., Lopez, M., Xueref-Remy, I., and Mouillot, F.: Soil smoldering in temperate forests: A neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2421, 2023.
Roland Benoit, Hazel Vernier, Jean-Paul Vernier, Lilian Joly, Nicolas Dumelié, Frank G. Wienhold, Cyril Crevoisier, Sandrine Delpeux, François Bernard, Philippe Dagaut, Gwenaël Berthet: The first balloon-borne sample analysis of atmospheric carbonaceous components reveals new insights into formation processes, Chemosphere, Volume 326, 2023, 138421, https://doi.org/10.1016/j.chemosphere.2023.138421.
Che, K., T. Lauvaux, N. Taquet, W. Stremme, Y. Xu, C. Alberti, M. Lopez, A. García-Reynoso, P. Ciais, Yi Liu, M. Ramonet, and M. Grutter: Urban XCO2 gradients from a dense network of solar absorption spectrometers and OCO-3 over Mexico City, submitted to Journal of Geophysical Research: Atmospheres.
Dumelié, N., Vernier, J., Berthet, G., Vernier, H., Renard, J., Rastogi, N., Wienhold, F., Combaz, D., Angot, M., Burgalat, J., Parent, F., Chauvin, N., Albora, G., Dagaut, P., Benoit, R., Kovilakam, M., Crevoisier, C., & Joly, L. (2023). Toward Rapid balloon Experiments for sudden Aerosol injection in the Stratosphere (REAS) by volcanic eruptions and wildfires. Bulletin of the American Meteorological Society (published online ahead of print 2023). https://doi.org/10.1175/BAMS-D-22-0086.1
Tyuterev, V.G., A. Barbe, L. Manceron, B. Grouiez, S.A. Tashkun, J. Burgalat, M. Rotger: Ozone spectroscopy in the terahertz range from first high-resolution Synchrotron SOLEIL experiments combined with far-infrared measurements and ab initio intensity calculations, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 305, 2024, 123456, ISSN 1386-1425, https://doi.org/10.1016/j.saa.2023.123456.
Danjou, A., Broquet, G., Schuh, A., Bréon, F.-M., and T. Lauvaux: Optimal selection of satellite XCO2 images over cities for urban CO2 emission monitoring using a global adaptive-mesh model, Atmospheric Measurement Techniques, https://amt.copernicus.org/preprints/amt-2023-199/, in review.
Baier, B. C., Miller, J. B., Sweeney, C., Lehman, S., Wolak, C., DiGangi, J. P., Davis, K. J., Barkely, Z. R., Feng, S., Lauvaux, T., and Y. Choi: Continental carbon dioxide source partitioning informed by radiocarbon: evaluation and applications, submitted to JGR-Atmos.
Bonne, J.-L., Ludovic Donnat, Grégory Albora, Jérémie Burgalat, Nicolas Chauvin, Delphine Combaz, Julien Cousin, Thomas Decarpenterie, Olivier Duclaux, Nicolas Dumelié, Nicolas Galas, Catherine Juery, Florian Parent, Florent Pineau, Abel Maunoury, Olivier Ventre, Marie-France Bénassy, and Lilian Joly: A simultaneous CH4 and CO2 flux quantification method for industrial site emissions from in-situ concentration measurements on-board an Unmanned Aircraft Vehicle, Atmospheric Measurement Techniques, 2023, https://doi.org/10.5194/amt-2022-334
Guisiano, J.E., Moulines, E.,, Lauvaux, T.,, and Sublime, J.: Enhanced Oil and Gas Infrastructure Mapping: Leveraging High-Resolution Satellite Imagery through fine-tuning of pre-trained object detection models, 2023 International Conference on Neural Information Processing (ICONIP2023), Changsha, Nov. 2023.
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. A., Dellaert, S. N. C., and Ciais, P.: Can we use atmospheric CO2 measurements to verify emission trends reported by cities? Lessons from a six-year atmospheric inversion over Paris, EGUsphere, https://doi.org/10.5194/egusphere-2023-401, 2023.
Wesloh, D., Keller, K., Feng, S., Lauvaux, T., and K. J. Davis: Temporal error correlations in a terrestrial carbon cycle model derived by comparison to carbon dioxide eddy covariance flux tower measurements, accepted in JGR: Biogeosciences.
Chulakadabba, A., Sargent, M., Lauvaux, T., Benmergui, J. S., Franklin, J. E., Chan Miller, C., Wilzewski, J. S., Roche, S., Conway, E., Souri, A. H., Sun, K., Luo, B., Hawthrone, J., Samra, J., Daube, B. C., Liu, X., Chance, K., Li, Y., Gautam, R., Omara, M., Rutherford, J. S., Sherwin, E. D., Brandt, A., and Wofsy, S. C.: Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer, Atmos. Meas. Tech., 16, 5771–5785, https://doi.org/10.5194/amt-16-5771-2023, 2023.
Ouerghi, E., Ehret, T., de Franchis, C., Facciolo, G., Lauvaux, T., Meinhardt, E., and Morel, J.-M.: Automatic detection of methane point emissions on PRISMA images with a matched filter variant and deep learning, EarthVision 2023.
Peng, S., Giron, C., Liu, G., d’Aspremont, A., Benoit, A., Lauvaux, T., Lin, X., de Almeida Rodrigues, H., Saunois, M., and P. Ciais: High resolution assessment of coal mining methane emissions by satellite in Shanxi, China, iScience, 26 (12), 108375, ISSN 2589-0042, https://doi.org/10.1016/j.isci.2023.108375, 2023.
Dumont Le Brazidec, J., Vanderbecken, P., Farchi, A., Bocquet, M., Lian, J., Broquet, G., Kuhlmann, G., Danjou, A., and Lauvaux, T.: Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants, Geosci. Model Dev., 16, 3997–4016, https://doi.org/10.5194/gmd-16-3997-2023, 2023.
Chen, H. W., Zhang, F., Lauvaux, T., Scholze, M., Davis, K. J., & Alley, R. B. (2023). Regional CO2 inversion through ensemble-based simultaneous state and parameter estimation: TRACE framework and controlled experiments. Journal of Advances in Modeling Earth Systems, 15, e2022MS003208. https://doi.org/10.1029/2022MS003208
Barkley, Z., Davis, K., Miles, N., Richardson, S., Deng, A., Hmiel, B., Lyon, D., and Lauvaux, T.: Quantification of oil and gas methane emissions in the Delaware and Marcellus basins using a network of continuous tower-based measurements, Atmos. Chem. Phys., 23, 6127–6144, https://doi.org/10.5194/acp-23-6127-2023, 2023.