Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1475-2021
© Author(s) 2021. 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-14-1475-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Feb 2021
Research article |
| 25 Feb 2021
| 25 Feb 2021
Analysis of 3D cloud effects in OCO-2 XCO2 retrievals
Steven T. Massie
CORRESPONDING AUTHOR
Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado 80303, USA
Heather Cronk
Colorado State University, Fort Collins, Colorado 80523, USA
Aronne Merrelli
Space Science and Engineering Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
Christopher O'Dell
Colorado State University, Fort Collins, Colorado 80523, USA
K. Sebastian Schmidt
Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado 80303, USA
Hong Chen
Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, Colorado 80303, USA
David Baker
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado 80523, USA
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Cited
13 citations as recorded by crossref.
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
- New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy M. Richardson et al. 10.5194/amt-15-117-2022
- 基于国产碳卫星的在轨光谱性能评估及大气二氧化碳的高精度反演（特邀） 洪. Hong Xinhua et al. 10.3788/AOS241153
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory S. Massie et al. 10.5194/amt-16-2145-2023
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
- Hot spots and anomalies of CO2 over eastern Amazonia, Brazil: A time series from 2015 to 2018 G. Santos et al. 10.1016/j.envres.2022.114379
- Spatio-temporal variation of atmospheric CO2 and its association with anthropogenic, vegetation, and climate indices over the state of Bihar, India A. Dass et al. 10.1016/j.envadv.2024.100513
- An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
- Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2) S. Mauceri et al. 10.5194/amt-16-1461-2023
- Boundary layer water vapour statistics from high-spatial-resolution spaceborne imaging spectroscopy M. Richardson et al. 10.5194/amt-14-5555-2021
- Evaluating consistency between total column CO<sub>2</sub> 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
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
13 citations as recorded by crossref.
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
- New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy M. Richardson et al. 10.5194/amt-15-117-2022
- 基于国产碳卫星的在轨光谱性能评估及大气二氧化碳的高精度反演（特邀） 洪. Hong Xinhua et al. 10.3788/AOS241153
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory S. Massie et al. 10.5194/amt-16-2145-2023
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
- Hot spots and anomalies of CO2 over eastern Amazonia, Brazil: A time series from 2015 to 2018 G. Santos et al. 10.1016/j.envres.2022.114379
- Spatio-temporal variation of atmospheric CO2 and its association with anthropogenic, vegetation, and climate indices over the state of Bihar, India A. Dass et al. 10.1016/j.envadv.2024.100513
- An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
- Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2) S. Mauceri et al. 10.5194/amt-16-1461-2023
- Boundary layer water vapour statistics from high-spatial-resolution spaceborne imaging spectroscopy M. Richardson et al. 10.5194/amt-14-5555-2021
- Evaluating consistency between total column CO<sub>2</sub> 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
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
Latest update: 13 Dec 2024
Short summary
The OCO-2 science team is working to retrieve CO2 measurements that can be used by the carbon cycle community to calculate regional sources and sinks of CO2. The retrieved data, however, are in need of improvements in accuracy. This paper discusses several ways in which 3D cloud metrics (such as the distance of a measurement to the nearest cloud) can be used to account for cloud effects in the OCO-2 CO2 data files.
The OCO-2 science team is working to retrieve CO2 measurements that can be used by the carbon...
