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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 24, issue 6
Ann. Geophys., 24, 1523–1535, 2006
https://doi.org/10.5194/angeo-24-1523-2006
© Author(s) 2006. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 24, 1523–1535, 2006
https://doi.org/10.5194/angeo-24-1523-2006
© Author(s) 2006. This work is distributed under
the Creative Commons Attribution 3.0 License.

  03 Jul 2006

03 Jul 2006

Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints

I. Pison1, L. Menut2, and N. Blond3 I. Pison et al.
  • 1LISA, Université Paris 7, Paris 12, CNRS, UMR7583, Créteil, France
  • 2LMD/IPSL, UMR8539, Ecole Polytechnique, Palaiseau, France
  • 3LISA, Université Paris 7, Paris 12, CNRS, UMR7583, Créteil, France

Abstract. A new methodology for the inversion of anthropogenic emissions at a local scale is tested. The inversion constraints are provided by a kriging technique used in air quality forecast in the Paris area, which computes an analyzed concentration field from network measurements and the first-guess simulation of a CTM. The inverse developed here is based on the CHIMERE model and its adjoint to perform 4-D integration. The methodology is validated on synthetic cases inverting emission fluxes. It is shown that the information provided by the analyzed concentrations is sufficient to reach a mathematically acceptable solution to the optimization, even when little information is available in the measurements. As compared to the use of measurements alone or of measurements and a background matrix, the use of kriging leads to a more homogeneous distribution of the corrections, both in space and time. Moreover, it is then possible to double the accuracy of the inversion by performing two kriging-optimization cycles. Nevertheless, kriging analysis cannot compensate for a very important lack of information in the measurements.

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