Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5317-2019
© Author(s) 2019. 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-12-5317-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Oct 2019
Research article |
| 08 Oct 2019
| 08 Oct 2019
Validation of OCO-2 error analysis using simulated retrievals
Susan S. Kulawik
CORRESPONDING AUTHOR
Bay Area Environmental Research Institute, Sonoma, CA, USA
Chris O'Dell
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO, USA
Robert R. Nelson
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
now at: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Thomas E. Taylor
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO, USA
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- Post hoc Uncertainty Quantification for Remote Sensing Observing Systems A. Braverman et al. 10.1137/19M1304283
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- Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. 10.3390/rs13040571
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16 citations as recorded by crossref.
- Scene invariants for quantifying radiative transfer uncertainty D. Thompson et al. 10.1016/j.rse.2021.112432
- Amplification of the Ocean Carbon Sink During El Niños: Role of Poleward Ekman Transport and Influence on Atmospheric CO2 E. Liao et al. 10.1029/2020GB006574
- Post hoc Uncertainty Quantification for Remote Sensing Observing Systems A. Braverman et al. 10.1137/19M1304283
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- Regional impacts of COVID-19 on carbon dioxide detected worldwide from space B. Weir et al. 10.1126/sciadv.abf9415
- Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China X. Hu et al. 10.1029/2020JD033538
- Spectroscopic uncertainty impacts on OCO-2/3 retrievals of XCO2 J. Hobbs et al. 10.1016/j.jqsrt.2020.107360
- A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. 10.5194/amt-16-5725-2023
- Surface reflectance biases in XCH4 retrievals from the 2.3 µm band are enhanced in the presence of aerosols P. Somkuti et al. 10.5194/amt-18-4647-2025
- Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
- Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. 10.5194/acp-21-14385-2021
- Characterizing Average Seasonal, Synoptic, and Finer Variability in Orbiting Carbon Observatory‐2 XCO2 Across North America and Adjacent Ocean Basins K. Mitchell et al. 10.1029/2022JD036696
- Aerosol profiling using radiometric and polarimetric spectral measurements in the O2 near infrared bands: Estimation of information content and measurement uncertainties M. Choi et al. 10.1016/j.rse.2020.112179
- Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. 10.3390/rs13040571
- Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. 10.1007/s10661-021-08933-2
- The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. 10.5194/amt-12-2341-2019
1 citations as recorded by crossref.
Latest update: 03 Nov 2025
Short summary
This work investigates errors in CO2 near-infrared estimates retrieved from simulated radiances. We find that interferent errors are underpredicted and that nonlinearity causes significant errors.
This work investigates errors in CO2 near-infrared estimates retrieved from simulated radiances....
