Atmospheric Chemistry and Physics Discussions
www.atmos-chem-phys-discuss.net
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7
4
2007
10.5194/acpd-7-10439-2007
http://www.atmos-chem-phys-discuss.net/7/10439/2007/
http://www.atmos-chem-phys-discuss.net/7/10439/2007/acpd-7-10439-2007.html
http://www.atmos-chem-phys-discuss.net/7/10439/2007/acpd-7-10439-2007.pdf
10439
10465
2007-07-19
Mesoscale inversion: first results from the CERES campaign with synthetic data
T. Lauvaux
thomas.lauvaux@lsce.ipsl.fr
M. Uliasz
C. Sarrat
F. Chevallier
P. Bousquet
C. Lac
K. J. Davis
P. Ciais
A. S. Denning
P. Rayner
Laboratoire des Sciences du Climat et de l'Environnement/IPSL,CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Centre Nationale des recherches Météorologiques, Toulouse, France
Department of Atmospheric Sciences, Colorado State University, Fort Collins, Colorado, USA
Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania, USA
We investigate the
ability of a mesoscale model to reconstruct CO<sub>2</sub> fluxes at
regional scale. Formally, we estimate the reduction of error for a
CO<sub>2</sub> flux inversion at 8 km resolution in the South West
of France, during four days of the CarboEurope Regional Experiment
(CERES) in spring 2005. Measurements from two towers and two airplanes
are available for this campaign. The lagrangian particle dispersion
model LPDM was coupled to the non-hydrostatic model Meso-NH and
integrated in a matrix inversion framework. Impacts of aircraft and
tower measurements are quantified separately and together. We find
that the configuration with both towers and aircraft is able to
significantly reduce uncertainties on the 4-day averaged CO<sub>2</sub>
fluxes over about half of the 300×300 km domain. Most
of this reduction comes from the tower measurements, even though the
impact of aircraft measurements remains noticeable. The noise
contributed by imperfect knowledge of boundary inflows does not
significantly impair the resolution. We test alternative strategies
to improve the impact of aircraft measurements and find that most
information comes from measurements inside the boundary layer.
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