Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 23
Articles | Volume 16, issue 23
https://doi.org/10.5194/amt-16-5725-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-5725-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 23
Research article
 | 
29 Nov 2023
Research article |  | 29 Nov 2023

A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10

William R. Keely, Steffen Mauceri, Sean Crowell, and Christopher W. O'Dell

Data sets

AMT ML bias correction OCO-2 W. R. Keely https://doi.org/10.17605/OSF.IO/CX53S

OCO-2 Level 2 bias-corrected XCO2 and other select fields from the fullphysics retrieval aggregated as daily files, Retrospective processing V10r OCO-2 Science Team, M. Gunson, and A. Eldering https://doi.org/10.5067/E4E140XDMPO2

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Short summary
Measurement errors in satellite observations of CO2 attributed to co-estimated atmospheric variables are corrected using a linear regression on quality-filtered data. We propose a nonlinear method that improves correction against a set of ground truth proxies and allows for high throughput of well-corrected data.
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