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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- Analysis of Infrared Spectral Radiance of O2 1.27 μm Band Based on Space-Based Limb Detection J. Bai et al. 10.3390/rs15194648
- 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
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- Infrared Channel of the Driada Spectrometer for Greenhouse-Gas Measurement from Space A. Trokhimovskiy et al. 10.1134/S0010952523700727
- Advances in quantifying power plant CO2 emissions with OCO-2 R. Nassar et al. 10.1016/j.rse.2021.112579
- The SOLAR-HRS New High-Resolution Solar Spectra for Disk-Integrated, Disk-Center, and Intermediate Cases M. Meftah et al. 10.3390/rs15143560
- 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
- Local Anomalies in the Column‐Averaged Dry Air Mole Fractions of Carbon Dioxide Across the Globe During the First Months of the Coronavirus Recession F. Chevallier et al. 10.1029/2020GL090244
- An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations K. Sun et al. 10.5194/amt-15-3721-2022
- PMIF v1.0: assessing the potential of satellite observations to constrain CO<sub>2</sub> emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
- The Radiative Transfer Characteristics of the O2 Infrared Atmospheric Band in Limb-Viewing Geometry W. He et al. 10.3390/rs11222702
26 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
- Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
- Parameterized model to approximate theoretical collision-induced absorption band shapes for O2-O2 and O2-N2 E. Adkins et al. 10.1016/j.jqsrt.2023.108732
- Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. 10.3390/rs16081442
- Level0 to Level1B processor for MethaneAIR E. Conway et al. 10.5194/amt-17-1347-2024
- CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
- On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2 A. Bastos et al. 10.1186/s13021-022-00214-w
- On the potential of a neural-network-based approach for estimating XCO2 from OCO-2 measurements F. Bréon et al. 10.5194/amt-15-5219-2022
- Analysis of Infrared Spectral Radiance of O2 1.27 μm Band Based on Space-Based Limb Detection J. Bai et al. 10.3390/rs15194648
- 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
- Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
- Uvsq-Sat NG, a New CubeSat Pathfinder for Monitoring Earth Outgoing Energy and Greenhouse Gases M. Meftah et al. 10.3390/rs15194876
- Infrared Channel of the Driada Spectrometer for Greenhouse-Gas Measurement from Space A. Trokhimovskiy et al. 10.1134/S0010952523700727
- Advances in quantifying power plant CO2 emissions with OCO-2 R. Nassar et al. 10.1016/j.rse.2021.112579
- The SOLAR-HRS New High-Resolution Solar Spectra for Disk-Integrated, Disk-Center, and Intermediate Cases M. Meftah et al. 10.3390/rs15143560
- 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
- Local Anomalies in the Column‐Averaged Dry Air Mole Fractions of Carbon Dioxide Across the Globe During the First Months of the Coronavirus Recession F. Chevallier et al. 10.1029/2020GL090244
- An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations K. Sun et al. 10.5194/amt-15-3721-2022
- PMIF v1.0: assessing the potential of satellite observations to constrain CO<sub>2</sub> emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
1 citations as recorded by crossref.
Latest update: 22 Apr 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...
