Articles | Volume 17, issue 14
https://doi.org/10.5194/amt-17-4471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4471-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jul 2024
Research article |
| 26 Jul 2024
| 26 Jul 2024
A measurement system for CO2 and CH4 emissions quantification of industrial sites using a new in situ concentration sensor operated on board uncrewed aircraft vehicles
Jean-Louis Bonne
CORRESPONDING AUTHOR
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Ludovic Donnat
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Grégory Albora
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Jérémie Burgalat
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Nicolas Chauvin
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Delphine Combaz
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Julien Cousin
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Thomas Decarpenterie
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Olivier Duclaux
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Nicolas Dumelié
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Nicolas Galas
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Catherine Juery
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Florian Parent
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
Florent Pineau
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Abel Maunoury
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Olivier Ventre
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Marie-France Bénassy
Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France
Lilian Joly
CORRESPONDING AUTHOR
GSMA UMR 7331, Université de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
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Pramod Kumar, Christopher Caldow, Grégoire Broquet, Adil Shah, Olivier Laurent, Camille Yver-Kwok, Sebastien Ars, Sara Defratyka, Susan Warao Gichuki, Luc Lienhardt, Mathis Lozano, Jean-Daniel Paris, Felix Vogel, Caroline Bouchet, Elisa Allegrini, Robert Kelly, Catherine Juery, and Philippe Ciais
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Space-borne greenhouse gas missions require ground-based validation networks capable of providing fiducial reference measurements. Here, considerable refinements of the calibration procedures for the COllaborative Carbon Column Observing Network (COCCON) are presented. Laboratory and solar side-by-side procedures for the characterization of the spectrometers have been refined and extended. Revised calibration factors for XCO2, XCO and XCH4 are provided, incorporating 47 new spectrometers.
Saeid Bagheri Dastgerdi, Melanie Behrens, Jean-Louis Bonne, Maria Hörhold, Gerrit Lohmann, Elisabeth Schlosser, and Martin Werner
The Cryosphere, 15, 4745–4767, https://doi.org/10.5194/tc-15-4745-2021, https://doi.org/10.5194/tc-15-4745-2021, 2021
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In this study, for the first time, water vapour isotope measurements in Antarctica for all seasons of a year are performed. Local temperature is identified as the main driver of δ18O and δD variability. A similar slope of the temperature–δ18O relationship in vapour and surface snow points to the water vapour isotope content as a potential key driver. This dataset can be used as a new dataset to evaluate the capability of isotope-enhanced climate models.
Jean-Louis Bonne, Hanno Meyer, Melanie Behrens, Julia Boike, Sepp Kipfstuhl, Benjamin Rabe, Toni Schmidt, Lutz Schönicke, Hans Christian Steen-Larsen, and Martin Werner
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Short summary
We present a top-down approach to quantify CO2 and CH4 emissions at the scale of an industrial site, based on a mass balance model relying on atmospheric concentrations measurements from a new sensor embarked on board uncrewed aircraft vehicles (UAVs). We present a laboratory characterization of our sensor and a field validation of our quantification method, together with field application to the monitoring of two real-world offshore oil and gas platforms.
We present a top-down approach to quantify CO2 and CH4 emissions at the scale of an industrial...
