Articles | Volume 13, issue 6
https://doi.org/10.5194/amt-13-3329-2020
© Author(s) 2020. 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-13-3329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jun 2020
Research article |
| 24 Jun 2020
| 24 Jun 2020
The use of the 1.27 µm O2 absorption band for greenhouse gas monitoring from space and application to MicroCarb
Jean-Loup Bertaux
CORRESPONDING AUTHOR
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne
Université, CNRS, 11 Boulevard d'Alembert, 78280 Guyancourt, France
Laboratory for planetary and exoplanetary atmospheres, IKI/RAN,
Moscow, Russia
Alain Hauchecorne
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne
Université, CNRS, 11 Boulevard d'Alembert, 78280 Guyancourt, France
Franck Lefèvre
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne
Université, CNRS, 11 Boulevard d'Alembert, 78280 Guyancourt, France
François-Marie Bréon
LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Laurent Blanot
ACRI-ST, 11 Boulevard d'Alembert, 78280 Guyancourt, France
Denis Jouglet
Centre National d'Etudes Spatiales, CST, 18 av. Edouard Belin, 31401
Toulouse, France
Pierre Lafrique
Centre National d'Etudes Spatiales, CST, 18 av. Edouard Belin, 31401
Toulouse, France
Pavel Akaev
Laboratory for planetary and exoplanetary atmospheres, IKI/RAN,
Moscow, Russia
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30 citations as recorded by crossref.
- Validation of spectroscopic data in the 1.27 µm spectral region by comparisons with ground-based atmospheric measurements D. Tran et al. 10.1016/j.jqsrt.2020.107495
- Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects E. Bell et al. 10.5194/amt-16-109-2023
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- Spectral calibration of the MethaneAIR instrument C. Staebell et al. 10.5194/amt-14-3737-2021
- Atmospheric CO2retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. 10.1016/j.jqsrt.2021.108006
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
- Tracking CO2 emission reductions from space: A case study at Europe’s largest fossil fuel power plant R. Nassar et al. 10.3389/frsen.2022.1028240
- An improved band design framework for atmospheric pollutant detection and its application to the design of satellites for CO2 observation Z. Wu et al. 10.1016/j.jqsrt.2023.108712
- GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols Z. Zeng et al. 10.5194/amt-14-6483-2021
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- An Ultra‐Broadband High Efficiency Polarization Beam Splitter for High Spectral Resolution Polarimetric Imaging in the Near Infrared H. Hsiao et al. 10.1002/advs.202201227
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Latest update: 25 Dec 2024
Short summary
Monitoring of greenhouse gases from space is usually done by measuring the quantity of CO2 and O2 in the atmosphere from their spectral absorption imprinted on the solar spectrum backscattered upwards. We show that the use of the near-infrared band of O2 at 1.27 µm, instead of the O2 band at 0.76 nm used up to now, may be more appropriate to better account for aerosols, in spite of a known airglow emission from ozone. The climate space mission MicroCarb (launched in 2021) includes this new band.
Monitoring of greenhouse gases from space is usually done by measuring the quantity of CO2 and...
