Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-713-2020
© 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-13-713-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
Joost aan de Brugh
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
Yasjka Meijer
European Space Agency, Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands
Bernd Sierk
European Space Agency, Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands
Otto Hasekamp
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
Andre Butz
Institut für Umweltphysik, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany
Jochen Landgraf
SRON Netherlands Institute for Space Research, Sorbonnelaan 2, 3584 CA Utrecht, the Netherlands
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Cited
14 citations as recorded by crossref.
- Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. https://doi.org/10.1109/JSTARS.2024.3378229
- Quantitative Assessment of Satellite-Observed Atmospheric CO2 Concentrations over Oceanic Regions X. He et al. https://doi.org/10.3390/rs17244026
- Retrieving Aerosol Optical Depth over Land from Landsat-8 Satellite Images with the Aid of Cloud Shadows J. Zhu et al. https://doi.org/10.3390/rs17020176
- Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal Resolution in China S. He et al. https://doi.org/10.3390/atmos14030436
- Effect of spectral resolution and signal-to-noise ratios on retrieval of XCO2 and XCH4 using an ultra-hyperspectral sensor R. Chipade et al. https://doi.org/10.1016/j.jqsrt.2026.110019
- Gap-filling XCO2 variability: A conditional framework to estimate XCO2 in data-sparse regions using dense TROPOMI NO2 observations over China J. Gu et al. https://doi.org/10.1016/j.envres.2026.124580
- Characteristics of interannual variability in space-based XCO2 global observations Y. Guan et al. https://doi.org/10.5194/acp-23-5355-2023
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier https://doi.org/10.5194/amt-17-5373-2024
- Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements A. Lorente et al. https://doi.org/10.5194/amt-15-6585-2022
- Assessments of the Above-Ocean Atmospheric CO2 Detection Capability of the GAS Instrument Onboard the Next-Generation FengYun-3H Satellite S. Chen et al. https://doi.org/10.3390/rs14236032
- Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. https://doi.org/10.3390/rs14225635
- Substantial Discrepancies Across Global Satellite XCO2 Products: A Systematic Evaluation J. Yang et al. https://doi.org/10.3390/rs18020371
- Anthropogenic CO2 monitoring satellite mission: the need for multi-angle polarimetric observations S. Rusli et al. https://doi.org/10.5194/amt-14-1167-2021
- Simultaneous Retrieval of Trace Gases, Aerosols, and Cirrus Using RemoTAP—The Global Orbit Ensemble Study for the CO2M Mission S. Lu et al. https://doi.org/10.3389/frsen.2022.914378
14 citations as recorded by crossref.
- Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. https://doi.org/10.1109/JSTARS.2024.3378229
- Quantitative Assessment of Satellite-Observed Atmospheric CO2 Concentrations over Oceanic Regions X. He et al. https://doi.org/10.3390/rs17244026
- Retrieving Aerosol Optical Depth over Land from Landsat-8 Satellite Images with the Aid of Cloud Shadows J. Zhu et al. https://doi.org/10.3390/rs17020176
- Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal Resolution in China S. He et al. https://doi.org/10.3390/atmos14030436
- Effect of spectral resolution and signal-to-noise ratios on retrieval of XCO2 and XCH4 using an ultra-hyperspectral sensor R. Chipade et al. https://doi.org/10.1016/j.jqsrt.2026.110019
- Gap-filling XCO2 variability: A conditional framework to estimate XCO2 in data-sparse regions using dense TROPOMI NO2 observations over China J. Gu et al. https://doi.org/10.1016/j.envres.2026.124580
- Characteristics of interannual variability in space-based XCO2 global observations Y. Guan et al. https://doi.org/10.5194/acp-23-5355-2023
- Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier https://doi.org/10.5194/amt-17-5373-2024
- Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements A. Lorente et al. https://doi.org/10.5194/amt-15-6585-2022
- Assessments of the Above-Ocean Atmospheric CO2 Detection Capability of the GAS Instrument Onboard the Next-Generation FengYun-3H Satellite S. Chen et al. https://doi.org/10.3390/rs14236032
- Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. https://doi.org/10.3390/rs14225635
- Substantial Discrepancies Across Global Satellite XCO2 Products: A Systematic Evaluation J. Yang et al. https://doi.org/10.3390/rs18020371
- Anthropogenic CO2 monitoring satellite mission: the need for multi-angle polarimetric observations S. Rusli et al. https://doi.org/10.5194/amt-14-1167-2021
- Simultaneous Retrieval of Trace Gases, Aerosols, and Cirrus Using RemoTAP—The Global Orbit Ensemble Study for the CO2M Mission S. Lu et al. https://doi.org/10.3389/frsen.2022.914378
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
The future European CO2 monitoring constellation is targeting a moderate spectral resolution of 0.1, 0.3, and 0.3–0.55 nm in the spectral bands of 0.76, 1.61, and 2.06 μm. To assess this choice, we perform XCO2 retrievals using both satellite (OCO-2 and GOSAT) and synthetic observations, which we spectrally degrade to the target spectral resolution. We see that moderate spectral resolution mainly reduces XCO2 precision and has little effect on the the systematic error.
The future European CO2 monitoring constellation is targeting a moderate spectral resolution of...