Analysis of 3D cloud effects in OCO-2 XCO2 retrievals

Massie, Steven T.; Cronk, Heather; Merrelli, Aronne; O'Dell, Christopher; Schmidt, K. Sebastian; Chen, Hong; Baker, David

doi:https://doi.org/10.5194/amt-14-1475-2021

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.

https://doi.org/10.5194/amt-14-1475-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Research article

|

25 Feb 2021

Research article |

| 25 Feb 2021

Analysis of 3D cloud effects in OCO-2 XCO2 retrievals

Steven T. Massie, Heather Cronk, Aronne Merrelli, Christopher O'Dell, K. Sebastian Schmidt, Hong Chen, and David Baker

Data sets

3D cloud metrics for OCO-2 observations Steven T. Massie, Heather Cronk, Aronne Merrelli, Christopher O'Dell, Sebastian Schmidt, Hong Chen, and David Baker https://doi.org/10.5281/zenodo.4008765

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.