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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2019-199
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-199
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Jul 2019

Research article | 10 Jul 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Bias Correction of Long-Path CO2 Observations in a Complex Urban Environment for Carbon Cycle Model Inter-Comparison and Data Assimilation

T. Scott Zaccheo1, Nathan Blume2, Timothy Pernini1, Jeremy Dobler2, and Jinghui Lian3 T. Scott Zaccheo et al.
  • 1Atmospheric and Environmental Research, Inc., Lexington, Massachusetts, 02421, USA
  • 2Spectral Sensor Solutions LLC, FortWayne, Indiana,46818,USA
  • 3Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France

Abstract. The Greenhouse gas Laser Imaging Tomography Experiment (GreenLITE™) trace gas measurement system, jointly designed and developed by Atmospheric and Environmental Research, Inc. and Spectral Sensor Solutions LLC, provides high-precision, long-path measurements of atmospheric trace gases including CO2 and CH4 over extended (0.04 km2–25 km2) areas of interest. In 2015, a prototype unit was deployed in Paris, France to demonstrate its ability to provide continuous observations of CO2 concentrations along horizontal air segments and two-dimensional (2-D) maps of time-varying CO2 concentrations over a complex urban environment. Subsequently, these data have been adapted to create a physically consistent set of horizontal segment mean concentrations for: 1) Comparisons to highly accurate in situ point measurements obtained for coincident times within the Greater Paris area, 2) Inter-comparisons with results from high-spatial and temporal regional carbon cycle model data, and 3) Potential assimilation of these data to constrain and inform regional carbon cycle modeling frameworks. To achieve these ends, the GreenLITE™ data are calibrated against precise in situ point measurements to reconcile constant systematic as well as slowly varying temporal differences that exist between in situ and GreenLITE™ measurements to provide unbiased comparisons, and the potential for long-term co-assimilation of both measurements into urban-scale emission models. While both the constant systematic biases and the slowly varying differences may have different impacts on the measurement accuracy and/or precisions, they are in part due to a number of potential common terms that include limitation in the instrument design, uncertainties in spectroscopy and imprecise knowledge of the atmospheric state. This work provides a brief overview of the system design and the current gas concentration retrieval and 2-D reconstruction approaches, a description of the bias correction approach, the results as applied to data collected in Paris, France, and an analysis of the inter-comparison between collocated in situ measurements and GreenLITE™ observations.

T. Scott Zaccheo et al.
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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 one year period spanning November 2015 to December 2016.
The Greenhouse gas Laser Imaging Tomography Experiment (GreenLITE™) trace gas measurement...
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