Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5865-2018
© Author(s) 2018. 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-11-5865-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Oct 2018
Research article |
| 24 Oct 2018
| 24 Oct 2018
Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
Yoann Tellier
CORRESPONDING AUTHOR
Laboratoire de Météorologie Dynamique (LMD/IPSL), CNRS, Ecole Polytechnique, Palaiseau CEDEX, France
Clémence Pierangelo
Centre National d'Etudes Spatiales (CNES), Toulouse CEDEX 9, France
Martin Wirth
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Weßling, Germany
Fabien Gibert
Laboratoire de Météorologie Dynamique (LMD/IPSL), CNRS, Ecole Polytechnique, Palaiseau CEDEX, France
Fabien Marnas
Capgemini Technology Services (for CNES), Toulouse, France
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Cited
15 citations as recorded by crossref.
- Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar V. Cassé et al. 10.3390/atmos10090540
- Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement Y. Zhu et al. 10.3390/rs12121999
- Development and Validation of an End-to-End Simulator and Gas Concentration Retrieval Processor Applied to the MERLIN Lidar Mission V. Cassé et al. 10.3390/rs13142679
- An Improved CH4 Profile Retrieving Method for Ground-Based Differential Absorption Lidar L. Fan et al. 10.3390/atmos15080937
- Sensitivity analysis and correction algorithms for atmospheric CO2measurements with 157-µm airborne double-pulse IPDA LIDAR Y. Zhu et al. 10.1364/OE.27.032679
- Orbital integrated path differential absorption lidar at 1.84 µm for detecting water sources on Mars Z. Liu et al. 10.1364/OE.569455
- Atmospheric carbon dioxide measurement from aircraft and comparison with OCO-2 and CarbonTracker model data Q. Wang et al. 10.5194/amt-14-6601-2021
- Greenhouse gas monitoring using an IPDA lidar based on a dual-comb spectrometer W. Patiño Rosas & N. Cézard 10.1364/OE.515543
- Single-photon laser methane detection methodology and initial validation S. Zhu et al. 10.3788/COL202422.100101
- Study on the Impact of the Doppler Shift for CO2 Lidar Remote Sensing X. Cao et al. 10.3390/rs14184620
- Averaging Scheme for the Aerosol and Carbon Detection LiDAR Onboard DaQi-1 Satellite X. Cao et al. 10.1109/TGRS.2024.3380639
- The challenges of measuring methane from space with a LIDAR H. Riris et al. 10.1007/s12567-019-00274-8
- Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign R. Barton-Grimley et al. 10.5194/amt-15-4623-2022
- Feed additives strategies to control methanogenesis in ruminants, Review A. Abd El Tawab et al. 10.2478/azibna-2024-0017
- MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. 10.3390/rs9101052
14 citations as recorded by crossref.
- Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar V. Cassé et al. 10.3390/atmos10090540
- Airborne Validation Experiment of 1.57-μm Double-Pulse IPDA LIDAR for Atmospheric Carbon Dioxide Measurement Y. Zhu et al. 10.3390/rs12121999
- Development and Validation of an End-to-End Simulator and Gas Concentration Retrieval Processor Applied to the MERLIN Lidar Mission V. Cassé et al. 10.3390/rs13142679
- An Improved CH4 Profile Retrieving Method for Ground-Based Differential Absorption Lidar L. Fan et al. 10.3390/atmos15080937
- Sensitivity analysis and correction algorithms for atmospheric CO2measurements with 157-µm airborne double-pulse IPDA LIDAR Y. Zhu et al. 10.1364/OE.27.032679
- Orbital integrated path differential absorption lidar at 1.84 µm for detecting water sources on Mars Z. Liu et al. 10.1364/OE.569455
- Atmospheric carbon dioxide measurement from aircraft and comparison with OCO-2 and CarbonTracker model data Q. Wang et al. 10.5194/amt-14-6601-2021
- Greenhouse gas monitoring using an IPDA lidar based on a dual-comb spectrometer W. Patiño Rosas & N. Cézard 10.1364/OE.515543
- Single-photon laser methane detection methodology and initial validation S. Zhu et al. 10.3788/COL202422.100101
- Study on the Impact of the Doppler Shift for CO2 Lidar Remote Sensing X. Cao et al. 10.3390/rs14184620
- Averaging Scheme for the Aerosol and Carbon Detection LiDAR Onboard DaQi-1 Satellite X. Cao et al. 10.1109/TGRS.2024.3380639
- The challenges of measuring methane from space with a LIDAR H. Riris et al. 10.1007/s12567-019-00274-8
- Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign R. Barton-Grimley et al. 10.5194/amt-15-4623-2022
- Feed additives strategies to control methanogenesis in ruminants, Review A. Abd El Tawab et al. 10.2478/azibna-2024-0017
1 citations as recorded by crossref.
Latest update: 23 Oct 2025
Short summary
The French and German space agencies (CNES, DLR) are currently developing MERLIN, a satellite that will measure atmospheric concentration of methane, a powerful greenhouse gas. To reach the desired precision, horizontally averaging the measurements along the satellite track is performed but leads to a processing bias due to non-linear equations. This article studies the processing biases for several averaging schemes and bias correction algorithms and recommends a best approach to limit biases.
The French and German space agencies (CNES, DLR) are currently developing MERLIN, a satellite...
