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 (0.04–25 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.