Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-649-2022
https://doi.org/10.5194/gmd-15-649-2022
Development and technical paper
 | 
26 Jan 2022
Development and technical paper |  | 26 Jan 2022

A new exponentially decaying error correlation model for assimilating OCO-2 column-average CO2 data using a length scale computed from airborne lidar measurements

David F. Baker, Emily Bell, Kenneth J. Davis, Joel F. Campbell, Bing Lin, and Jeremy Dobler

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Cited articles

Baker, D. F., Bell, E., Davis, K. J., Campbell, J. F., Lin, B., and Dobler, J.: Computing a correlation length scale from MFLL–OCO-2 CO2 differences, and accounting for correlated errors when assimilating OCO-2 data, Zenodo [data set], https://doi.org/10.5281/zenodo.4399884, 2020. a, b, c, d
Bell, E.: Evaluation of OCO-2 Small-scale XCO2 Variability Using Lidar Retrievals from the ACT-America Flight Campaign, MS thesis, Dept. of Atmospheric Science, Colorado State University, U.S.A., 114 pp., available at: https://mountainscholar.org/handle/10217/191457 (last access: 17 January 2022​​​​​​​), 2018. a, b, c
Bell, E., O'Dell, C. W., Davis, K. J., Campbell, J., Browell, E., Denning, A. S., Dobler, J., Erxleben, W., Fan, T.-F., Kooi, S., Lin, B., Pal, S., and Weir, B.: Evaluation of OCO‐2 XCO2 Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT‐America Campaigns, J. Geophys. Res.-Atmos., 125, e2019JD031400, https://doi.org/10.1029/2019JD031400, 2020. a, b, c, d, e, f, g, h
Bennett, A. F.: Inverse Modeling of the Ocean and Atmosphere, Cambridge University Press, New York, USA, ISBN 13 978-0-521-02157-9, ISBN-10 0-521-02157-X, 2002. a
Campbell, J. F., Lin, B., Dobler, J., Pal, S., Davis, K., Obland, M. D., Erxleben, W., McGregor, D., O'Dell, C., Bell, E., Weir, B., Fan, T.-F., Kooi, S., Gordon, I., Corbett, A., and Kochanov, R.: Field evaluation of column CO2 retrievals from intensity‐modulated continuous‐wave differential absorption lidar measurements during the ACT‐America campaign, Earth and Space Science, 7, e2019EA000847, https://doi.org/10.1029/2019EA000847, 2020. a
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Short summary
The OCO-2 satellite measures many closely spaced column-averaged CO2 values around its orbit. To give these data proper weight in flux inversions, their error correlations must be accounted for. Here we lay out a 1-D error model with correlations that die out exponentially along-track to do so. A correlation length scale of ∼20 km is derived from column CO2 measurements from an airborne lidar flown underneath OCO-2 for use in this model. The model's performance is compared to previous ones.
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