Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 12, issue 11
Articles | Volume 12, issue 11
https://doi.org/10.5194/amt-12-5791-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-5791-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 11
Research article
 | 
04 Nov 2019
Research article |  | 04 Nov 2019

Bias correction of long-path CO2 observations in a complex urban environment for carbon cycle model inter-comparison and data assimilation

T. Scott Zaccheo, Nathan Blume, Timothy Pernini, Jeremy Dobler, and Jinghui Lian

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by T. Scott Zaccheo on behalf of the Authors (05 Sep 2019)  Author's response   Manuscript 
ED: Publish as is (09 Sep 2019) by Joanna Joiner
AR by T. Scott Zaccheo on behalf of the Authors (16 Sep 2019)  Author's response 
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Short summary
The Greenhouse gas Laser Imaging Tomography Experiment (GreenLITE™) trace gas measurement system provides high-precision, long-path measurements of atmospheric trace gases including CO2 and CH4 over extended (0.04 km2–25 km2) areas of interest. This work provides a brief overview of the system design, a description of a newly developed bias-correction approach and the results as applied to data collected in Paris, France, over a 1-year period spanning November 2015 to December 2016.
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