Articles | Volume 25, issue 17
https://doi.org/10.5194/acp-25-9803-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-9803-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Sep 2025
Research article |
| 04 Sep 2025
| 04 Sep 2025
Monitoring and modeling seasonally varying anthropogenic and biogenic CO2 over a large tropical metropolitan area
Rafaela Cruz Alves Alberti
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
Thomas Lauvaux
Université de Reims Champagne-Ardenne, CNRS, GSMA, Reims, France
Angel Liduvino Vara-Vela
Department of Geoscience, Aarhus University, Aarhus, Denmark
Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark
iCLIMATE Aarhus University Interdisciplinary Centre for Climate Change, Aarhus, Denmark
Ricard Segura Barrero
Institute of Environmental Sciences and Technology, Universitat Autònoma de Barcelona, Barcelona, Spain
Christoffer Karoff
Department of Geoscience, Aarhus University, Aarhus, Denmark
Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark
iCLIMATE Aarhus University Interdisciplinary Centre for Climate Change, Aarhus, Denmark
Maria de Fátima Andrade
Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
Márcia Talita Amorim Marques
Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
Noelia Rojas Benavente
Physics Institute, University of São Paulo, São Paulo, Brazil
Osvaldo Machado Rodrigues Cabral
Brazilian Agricultural Research Corporation, Embrapa Environment, Jaguariúna, Brazil
Humberto Ribeiro da Rocha
Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
Rita Yuri Ynoue
Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
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Alohotsy Rafalimanana, Thomas Lauvaux, Charbel Abdallah, Mali Chariot, Michel Ramonet, Josselin Doc, Olivier Laurent, Morgan Lopez, Anja Raznjevic, Maarten Krol, Leena Järvi, Andreas Christen, Dana Looschelders, Leslie David, Olivier Sanchez, Laura Bignotti, Benjamin Loubet, Sue Grimmond, and William Morrison
EGUsphere, https://doi.org/10.5194/egusphere-2026-2581, https://doi.org/10.5194/egusphere-2026-2581, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Using WRF-Chem simulations over Greater Paris at resolutions from 900 m to 100 m (LES), we show that horizontal resolution critically shapes urban CO2 plume structure. Mesoscale runs underestimate spatial contrasts by a factor of 2–3, with representativeness errors of 29–61 % (near-surface) and 21–59 % (XCO2). LES improves intra-urban variability and enables more accurate spatial attribution of emissions, a key step toward reliable top-down estimates for city-scale climate mitigation.
Zhenglun Yang, Yukio Terao, Thomas Lauvaux, Tomohiro Oda, Charbel Abdallah, Masahide Nishihashi, Makoto Saito, Hirofumi Ohyama, Shigeyuki Ishidoya, Hirofumi Sugawara, Toshinobu Machida, Motoki Sasakawa, and Yasunori Tohjima
EGUsphere, https://doi.org/10.5194/egusphere-2026-2178, https://doi.org/10.5194/egusphere-2026-2178, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cities need accurate emission estimates for climate action. We compared five emission inventories over the Greater Tokyo Area using measurements from four sites and an atmospheric transport model. We found that measurements at the four sites show distinct features of the inventories in emission amount and spatial distribution. Site choice is important for evaluating urban emissions. These findings can help improve emission inventories, future urban observations and simulations.
Tailine Corrêa dos Santos, Elaine Cristina Araujo, Thaís Andrade da Silva, Enrico Valente Freire, Eduardo Landulfo, and Maria de Fátima Andrade
Atmos. Meas. Tech., 19, 4539–4551, https://doi.org/10.5194/amt-19-4539-2026, https://doi.org/10.5194/amt-19-4539-2026, 2026
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Emission factors are used in inventories, yet household cooking data remain scarce. This study analyzes CO2, CH4, and NOx emissions from natural gas and liquefied petroleum gas stoves in São Paulo, Brazil. Field measurements combined chemiluminescence, spectroscopy, and mass balance methods. CH4 emissions were higher for natural gas, with factors exceeding Brazil and IPCC (Intergovernmental Panel on Climate Change) values, revealing uncertainty and the need for research to support mitigation actions and public policies.
Alohotsy Rafalimanana, Thomas Lauvaux, Charbel Abdallah, Mali Chariot, Michel Ramonet, Josselin Doc, Olivier Laurent, Morgan Lopez, Anja Raznjevic, Maarten Krol, Leena Järvi, Andreas Christen, Dana Looschelders, Leslie David, Olivier Sanchez, Laura Bignotti, Benjamin Loubet, Sue Grimmond, and William Morrison
EGUsphere, https://doi.org/10.5194/egusphere-2026-2109, https://doi.org/10.5194/egusphere-2026-2109, 2026
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This study explores how city design and buildings affect CO2 levels in the air over Paris. Using a transport model, we tested different urban canopy models to represent the city environment and its influence on air motion. We found that realistic descriptions of urban surfaces are crucial, especially in winter, for accurately showing how CO2 builds up and disperses, leading to better satellite monitoring of city CO2 emissions.
David Matajira-Rueda, Charbel Abdallah, and Thomas Lauvaux
Geosci. Model Dev., 19, 3757–3782, https://doi.org/10.5194/gmd-19-3757-2026, https://doi.org/10.5194/gmd-19-3757-2026, 2026
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This study presents a scheme, Concepteur de Réseaux Optimaux d’Observations Atmosphériques (CRO2A), for designing optimal mesoscale atmospheric monitoring networks without relying on typical inverse modeling assumptions. It leverages direct simulations of greenhouse gas concentrations to minimize the number of ground-based monitoring stations and maximize network performance through automated processing at a balanced computational cost, while being compatible with high-performance computing.
Peng Yao, Rupert Holzinger, Beatriz Sayuri Oyama, Agne Masalaite, Dipayan Paul, Haiyan Ni, Hanne Noto, Dušan Materić, Maria de Fátima Andrade, Ru-Jin Huang, and Ulrike Dusek
Atmos. Chem. Phys., 26, 5005–5018, https://doi.org/10.5194/acp-26-5005-2026, https://doi.org/10.5194/acp-26-5005-2026, 2026
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We identify a previously unrecognized class of synthetic organic compounds, large molecular methylsiloxanes, in ambient aerosols across diverse environments in three countries. These compounds are present at substantial levels, primarily originating from traffic emissions related to engine lubrication. Their high abundance and significant daily human exposure suggest potential, yet still poorly understood, implications for both health and climate.
Noelia R. Benavente, Santiago Botía, Luciana V. Rizzo, Angel Vara-Vela, Paulo Artaxo, Hella van Asperen, Felipe Santos da Silva, Flavio A. F. D'Oliveira, Horst Fischer, Michał Gałkowski, Theo Glauch, Alice Henkes, David Ho, Cléo Q. Dias-Júnior, Amauri C. P. Junior, Julia Marshall, Linda Ort, Ben-Hur M. Portella, and Luiz A. T. Machado
EGUsphere, https://doi.org/10.5194/egusphere-2026-979, https://doi.org/10.5194/egusphere-2026-979, 2026
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The Amazon Basin plays a vital role in regulating Earth's climate by absorbing and releasing carbon dioxide and methane. We studied how a high-resolution atmospheric transport model captures these gases, comparing it with measurements from towers and aircraft over the forest. Adjusting for forest carbon exchange improved carbon dioxide results, while methane levels were heavily dependent on emission estimates. Remaining errors were linked to winds and atmospheric mixing.
Jamie R. C. Brown, Ross Woods, Humberto Ribeiro da Rocha, Debora Regina Roberti, and Rafael Rosolem
Hydrol. Earth Syst. Sci., 30, 141–162, https://doi.org/10.5194/hess-30-141-2026, https://doi.org/10.5194/hess-30-141-2026, 2026
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In recent years, global and regional weather datasets have emerged, but validation with real-world data is crucial, especially in diverse regions like Brazil. This study compares seven key weather variables from five datasets with measurements from 11 sites across Brazil’s main biomes. Results show varying performance across variables and timescales, with one reanalysis product outperforming others overall. Findings suggest it may be a strong choice for multi-variable studies in Brazil.
Hazel Vernier, Demilson Quintao, Bruno Biazon, Eduardo Landulfo, Giovanni Souza, Amanda Santos, Fabio Lopes, Alex Mendes, José da Matta, Pinheiro Damaris, Benoit Grosslin, Maria Paulete, Maria de Fátima Andrade, Neeraj Rastogi, Akhil Raj, Hongyu Liu, Mahesh Kovilakam, Suvarna Fadnavis, Frank Wienhold, Mathieu Colombier, Chris Boone, Gwenael Berthet, Nicolas Dumelie, Lilian Joly, and Jean-Paul Vernier
EGUsphere, https://doi.org/10.5194/egusphere-2025-6226, https://doi.org/10.5194/egusphere-2025-6226, 2026
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This paper shows unique balloon measurements from Brazil within the Hunga volcanic plume eight months after the eruption. The chemical analysis of samples collected reveal new insights on volcanic aerosol composition and suggest the presence of marine aerosols.
Ali Rahimi, Manuchehr Farajzadeh, Yousef Ghavidel, and Christoffer Karoff
EGUsphere, https://doi.org/10.5194/egusphere-2025-5852, https://doi.org/10.5194/egusphere-2025-5852, 2025
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Methane in Iran increased from 1873 ppb in 2019 to 1919 ppb in 2024. Hotspots lie in rice areas of the north, the urban-industrial centre, and oil-gas zones in the south, while west and east stay low. The TROPOspheric Monitoring Instrument (TROPOMI) detects many scattered sources that the EDGAR v8.1 inventory smooths into broad areas. Merging TROPOMI, EDGAR, weather, and land-use data sharpens source maps, reveals model gaps, and guides targeted national and regional emission cuts.
Félix Langot, Cyril Crevoisier, Thomas Lauvaux, Charbel Abdallah, Jérôme Pernin, Xin Lin, Marielle Saunois, Axel Guedj, Thomas Ponthieu, Julien Moyé, Michel Ramonet, Anke Roiger, Klaus-Dirk Gottschaldt, and Alina Fiehn
Atmos. Meas. Tech., 18, 5955–5983, https://doi.org/10.5194/amt-18-5955-2025, https://doi.org/10.5194/amt-18-5955-2025, 2025
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Our study compares outputs from meteorological and atmospheric composition models to data from the MAGIC2021 campaign that took place in Sweden. Our results highlight performance differences among models, revealing strengths and weaknesses of different modelling techniques. We also found that wetland emission inventories overestimated emissions in regional simulations. This work helps to refine methane emission predictions, essential for understanding climate change.
Bianca C. Baier, John B. Miller, Colm Sweeney, Scott J. Lehman, Chad Wolak, Joshua P. DiGangi, Yonghoon Choi, Kenneth Davis, Sha Feng, and Thomas Lauvaux
Atmos. Chem. Phys., 25, 10479–10497, https://doi.org/10.5194/acp-25-10479-2025, https://doi.org/10.5194/acp-25-10479-2025, 2025
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CO2 radiocarbon content (Δ14CO2) is a unique tracer that helps to accurately quantify anthropogenic CO2 emitted into the atmosphere. Δ14CO2 measured in airborne flask samples is used to distinguish fossil versus biogenic CO2 sources. Mid-Atlantic US CO2 variability is found to be driven by the biosphere. Errors in modeled fossil fuel CO2 are evaluated using Δ14CO2 airborne data as an avenue to improving future regional models of atmospheric CO2 transport.
Guilherme Martins Pereira, Leonardo Yoshiaki Kamigauti, Rubens Fabio Pereira, Djacinto Monteiro dos Santos, Thayná da Silva Santos, José Vinicius Martins, Célia Alves, Cátia Gonçalves, Ismael Casotti Rienda, Nora Kováts, Thiago Nogueira, Luciana Rizzo, Paulo Artaxo, Regina Maura de Miranda, Marcia Akemi Yamasoe, Edmilson Dias de Freitas, Pérola de Castro Vasconcellos, and Maria de Fatima Andrade
Atmos. Chem. Phys., 25, 4587–4616, https://doi.org/10.5194/acp-25-4587-2025, https://doi.org/10.5194/acp-25-4587-2025, 2025
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The chemical composition of fine particulate matter was studied in the megacity of São Paulo (Brazil) during a polluted period. Vehicular-related sources remain relevant; however, a high contribution of biomass burning was observed and correlated with sample ecotoxicity. Emerging biomass burning sources, such as forest fires and sugarcane-bagasse-based power plants, highlight the need for additional control measures alongside stricter rules concerning vehicular emissions.
Hazel Vernier, Demilson Quintão, Bruno Biazon, Eduardo Landulfo, Giovanni Souza, V. Amanda Santos, J. S. Fabio Lopes, C. P. Alex Mendes, A. S. José da Matta, K. Pinheiro Damaris, Benoit Grosslin, P. M. P. Maria Jorge, Maria de Fátima Andrade, Neeraj Rastogi, Akhil Raj, Hongyu Liu, Mahesh Kovilakam, Suvarna Fadnavis, Frank G. Wienhold, Mathieu Colombier, D. Chris Boone, Gwenael Berthet, Nicolas Dumelie, Lilian Joly, and Jean-Paul Vernier
EGUsphere, https://doi.org/10.5194/egusphere-2025-924, https://doi.org/10.5194/egusphere-2025-924, 2025
Preprint withdrawn
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The eruption of Hunga Tonga-Hunga Ha'apai injected large amounts of water vapor and sea salt into the stratosphere, altering traditional views of volcanic aerosols. Using balloon-borne samplers, we collected aerosol samples and found high levels of sea salt and calcium, suggesting sulfate depletion due to gypsum formation. These findings highlight the need to consider sea salt in climate models to better predict volcanic impacts on the atmosphere and climate.
Alexandre Danjou, Grégoire Broquet, Andrew Schuh, François-Marie Bréon, and Thomas Lauvaux
Atmos. Meas. Tech., 18, 533–554, https://doi.org/10.5194/amt-18-533-2025, https://doi.org/10.5194/amt-18-533-2025, 2025
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We study the capacity of XCO2 spaceborne imagery to estimate urban CO2 emissions with synthetic data. We define automatic and standard methods and objective criteria for image selection. The wind variability and urban emission budget guide the emission estimation error. Images with low wind variability and high urban emissions account for 47 % of images and give a bias in the emission estimation of −7 % and a spread of 56 %. Other images give a bias of −31 % and a spread of 99 %.
Jorge E. Pachón, Mariel A. Opazo, Pablo Lichtig, Nicolas Huneeus, Idir Bouarar, Guy Brasseur, Cathy W. Y. Li, Johannes Flemming, Laurent Menut, Camilo Menares, Laura Gallardo, Michael Gauss, Mikhail Sofiev, Rostislav Kouznetsov, Julia Palamarchuk, Andreas Uppstu, Laura Dawidowski, Nestor Y. Rojas, María de Fátima Andrade, Mario E. Gavidia-Calderón, Alejandro H. Delgado Peralta, and Daniel Schuch
Geosci. Model Dev., 17, 7467–7512, https://doi.org/10.5194/gmd-17-7467-2024, https://doi.org/10.5194/gmd-17-7467-2024, 2024
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Latin America (LAC) has some of the most populated urban areas in the world, with high levels of air pollution. Air quality management in LAC has been traditionally focused on surveillance and building emission inventories. This study performed the first intercomparison and model evaluation in LAC, with interesting and insightful findings for the region. A multiscale modeling ensemble chain was assembled as a first step towards an air quality forecasting system.
Noémie Taquet, Wolfgang Stremme, María Eugenia González del Castillo, Victor Almanza, Alejandro Bezanilla, Olivier Laurent, Carlos Alberti, Frank Hase, Michel Ramonet, Thomas Lauvaux, Ke Che, and Michel Grutter
Atmos. Chem. Phys., 24, 11823–11848, https://doi.org/10.5194/acp-24-11823-2024, https://doi.org/10.5194/acp-24-11823-2024, 2024
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We characterize the variability in CO and CO2 emissions over Mexico City from long-term time-resolved Fourier transform infrared spectroscopy solar absorption and surface measurements from 2013 to 2021. Using the average intraday CO growth rate from total columns, the average CO / CO2 ratio and TROPOMI data, we estimate the interannual variability in the CO and CO2 anthropogenic emissions of Mexico City, highlighting the effect of an unprecedented drop in activity due to the COVID-19 lockdown.
Jinghui Lian, Olivier Laurent, Mali Chariot, Luc Lienhardt, Michel Ramonet, Hervé Utard, Thomas Lauvaux, François-Marie Bréon, Grégoire Broquet, Karina Cucchi, Laurent Millair, and Philippe Ciais
Atmos. Meas. Tech., 17, 5821–5839, https://doi.org/10.5194/amt-17-5821-2024, https://doi.org/10.5194/amt-17-5821-2024, 2024
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We have designed and deployed a mid-cost medium-precision CO2 sensor monitoring network in Paris since July 2020. The data are automatically calibrated by a newly implemented data processing system. The accuracies of the mid-cost instruments vary from 1.0 to 2.4 ppm for hourly afternoon measurements. Our model–data analyses highlight prospects for integrating mid-cost instrument data with high-precision measurements to improve fine-scale CO2 emission quantification in urban areas.
Josselin Doc, Michel Ramonet, François-Marie Bréon, Delphine Combaz, Mali Chariot, Morgan Lopez, Marc Delmotte, Cristelle Cailteau-Fischbach, Guillaume Nief, Nathanaël Laporte, Thomas Lauvaux, and Philippe Ciais
EGUsphere, https://doi.org/10.5194/egusphere-2024-2826, https://doi.org/10.5194/egusphere-2024-2826, 2024
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Description of the network for measuring greenhouse gas concentrations in the Paris region and analysis of eight years of continuous monitoring.
Apisada Chulakadabba, Maryann Sargent, Thomas Lauvaux, Joshua S. Benmergui, Jonathan E. Franklin, Christopher Chan Miller, Jonas S. Wilzewski, Sébastien Roche, Eamon Conway, Amir H. Souri, Kang Sun, Bingkun Luo, Jacob Hawthrone, Jenna Samra, Bruce C. Daube, Xiong Liu, Kelly Chance, Yang Li, Ritesh Gautam, Mark Omara, Jeff S. Rutherford, Evan D. Sherwin, Adam Brandt, and Steven C. Wofsy
Atmos. Meas. Tech., 16, 5771–5785, https://doi.org/10.5194/amt-16-5771-2023, https://doi.org/10.5194/amt-16-5771-2023, 2023
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We show that MethaneAIR, a precursor to the MethaneSAT satellite, demonstrates accurate point source quantification during controlled release experiments and regional observations in 2021 and 2022. Results from our two independent quantification methods suggest the accuracy of our sensor and algorithms is better than 25 % for sources emitting 200 kg h−1 or more. Insights from these measurements help establish the capabilities of MethaneSAT and MethaneAIR.
Angel Liduvino Vara-Vela, Christoffer Karoff, Noelia Rojas Benavente, and Janaina P. Nascimento
Geosci. Model Dev., 16, 6413–6431, https://doi.org/10.5194/gmd-16-6413-2023, https://doi.org/10.5194/gmd-16-6413-2023, 2023
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A 1-year simulation of atmospheric CH4 over Europe is performed and evaluated against observations based on the TROPOspheric Monitoring Instrument (TROPOMI). A good general model–observation agreement is found, with discrepancies reaching their minimum and maximum values during the summer peak season and winter months, respectively. A huge and under-explored potential for CH4 inverse modeling using improved TROPOMI XCH4 data sets in large-scale applications is identified.
Ioannis Cheliotis, Thomas Lauvaux, Jinghui Lian, Theodoros Christoudias, George Georgiou, Alba Badia, Frédéric Chevallier, Pramod Kumar, Yathin Kudupaje, Ruixue Lei, and Philippe Ciais
EGUsphere, https://doi.org/10.5194/egusphere-2023-2487, https://doi.org/10.5194/egusphere-2023-2487, 2023
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A consistent estimation of CO2 emissions is complicated due to the scarcity of CO2 observations. In this study, we showcase the potential to improve the CO2 emissions estimations from the NO2 concentrations based on the NO2-to-CO2 ratio, which should be constant for a source co-emitting NO2 and CO2, by comparing satellite observations with atmospheric chemistry and transport model simulations for NO2 and CO2. Furthermore, we demonstrate the significance of the chemistry in NO2 simulations.
Alba Badia, Veronica Vidal, Sergi Ventura, Roger Curcoll, Ricard Segura, and Gara Villalba
Atmos. Chem. Phys., 23, 10751–10774, https://doi.org/10.5194/acp-23-10751-2023, https://doi.org/10.5194/acp-23-10751-2023, 2023
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Improving air quality is a top priority in urban areas. In this study, we used an air quality model to analyse the air quality changes occurring over the metropolitan area of Barcelona and other rural areas affected by transport of the atmospheric plume from the city during mobility restrictions. Our results show that mitigation strategies intended to reduce O3 should be designed according to the local meteorology, air transport, and particular ozone chemistry of the urban area.
Jinghui Lian, Thomas Lauvaux, Hervé Utard, François-Marie Bréon, Grégoire Broquet, Michel Ramonet, Olivier Laurent, Ivonne Albarus, Mali Chariot, Simone Kotthaus, Martial Haeffelin, Olivier Sanchez, Olivier Perrussel, Hugo Anne Denier van der Gon, Stijn Nicolaas Camiel Dellaert, and Philippe Ciais
Atmos. Chem. Phys., 23, 8823–8835, https://doi.org/10.5194/acp-23-8823-2023, https://doi.org/10.5194/acp-23-8823-2023, 2023
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This study quantifies urban CO2 emissions via an atmospheric inversion for the Paris metropolitan area over a 6-year period from 2016 to 2021. Results show a long-term decreasing trend of about 2 % ± 0.6 % per year in the annual CO2 emissions over Paris. We conclude that our current capacity can deliver near-real-time CO2 emission estimates at the city scale in under a month, and the results agree within 10 % with independent estimates from multiple city-scale inventories.
Joffrey Dumont Le Brazidec, Pierre Vanderbecken, Alban Farchi, Marc Bocquet, Jinghui Lian, Grégoire Broquet, Gerrit Kuhlmann, Alexandre Danjou, and Thomas Lauvaux
Geosci. Model Dev., 16, 3997–4016, https://doi.org/10.5194/gmd-16-3997-2023, https://doi.org/10.5194/gmd-16-3997-2023, 2023
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Monitoring of CO2 emissions is key to the development of reduction policies. Local emissions, from cities or power plants, may be estimated from CO2 plumes detected in satellite images. CO2 plumes generally have a weak signal and are partially concealed by highly variable background concentrations and instrument errors, which hampers their detection. To address this problem, we propose and apply deep learning methods to detect the contour of a plume in simulated CO2 satellite images.
Stergios Misios, Ioannis Logothetis, Mads F. Knudsen, Christoffer Karoff, Vassilis Amiridis, and Kleareti Tourpali
Weather Clim. Dynam., 3, 811–823, https://doi.org/10.5194/wcd-3-811-2022, https://doi.org/10.5194/wcd-3-811-2022, 2022
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We investigate the impact of strong volcanic eruptions on the northerly Etesian winds blowing in the eastern Mediterranean. Μodel simulations of the last millennium demonstrate a robust reduction in the total number of days with Etesian winds in the post-eruption summers. The decline in the Etesian winds is attributed to a weakened Indian summer monsoon in the post-eruption summer. These findings could improve seasonal predictions of the wind circulation in the eastern Mediterranean.
E. Ouerghi, T. Ehret, C. de Franchis, G. Facciolo, T. Lauvaux, E. Meinhardt, and J.-M. Morel
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 147–154, https://doi.org/10.5194/isprs-annals-V-3-2022-147-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-147-2022, 2022
Zhu Deng, Philippe Ciais, Zitely A. Tzompa-Sosa, Marielle Saunois, Chunjing Qiu, Chang Tan, Taochun Sun, Piyu Ke, Yanan Cui, Katsumasa Tanaka, Xin Lin, Rona L. Thompson, Hanqin Tian, Yuanzhi Yao, Yuanyuan Huang, Ronny Lauerwald, Atul K. Jain, Xiaoming Xu, Ana Bastos, Stephen Sitch, Paul I. Palmer, Thomas Lauvaux, Alexandre d'Aspremont, Clément Giron, Antoine Benoit, Benjamin Poulter, Jinfeng Chang, Ana Maria Roxana Petrescu, Steven J. Davis, Zhu Liu, Giacomo Grassi, Clément Albergel, Francesco N. Tubiello, Lucia Perugini, Wouter Peters, and Frédéric Chevallier
Earth Syst. Sci. Data, 14, 1639–1675, https://doi.org/10.5194/essd-14-1639-2022, https://doi.org/10.5194/essd-14-1639-2022, 2022
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In support of the global stocktake of the Paris Agreement on climate change, we proposed a method for reconciling the results of global atmospheric inversions with data from UNFCCC national greenhouse gas inventories (NGHGIs). Here, based on a new global harmonized database that we compiled from the UNFCCC NGHGIs and a comprehensive framework presented in this study to process the results of inversions, we compared their results of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O).
Pramod Kumar, Grégoire Broquet, Camille Yver-Kwok, Olivier Laurent, Susan Gichuki, Christopher Caldow, Ford Cropley, Thomas Lauvaux, Michel Ramonet, Guillaume Berthe, Frédéric Martin, Olivier Duclaux, Catherine Juery, Caroline Bouchet, and Philippe Ciais
Atmos. Meas. Tech., 14, 5987–6003, https://doi.org/10.5194/amt-14-5987-2021, https://doi.org/10.5194/amt-14-5987-2021, 2021
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This study presents a simple atmospheric inversion modeling framework for the localization and quantification of unknown CH4 and CO2 emissions from point sources based on near-surface mobile concentration measurements and a Gaussian plume dispersion model. It is applied for the estimate of a series of brief controlled releases of CH4 and CO2 with a wide range of rates during the TOTAL TADI-2018 experiment. Results indicate a ~10 %–40 % average error on the estimate of the release rates.
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Short summary
This study addresses uncertainties in atmospheric models by analyzing CO2 dynamics in a complex urban environment characterized by a dense population and tropical vegetation. High-accuracy sensors were deployed, and the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) was utilized to simulate CO2 transport, capturing variations and assessing contributions from both anthropogenic and biogenic sources.
This study addresses uncertainties in atmospheric models by analyzing CO2 dynamics in a complex...
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