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

I. Pison (1) , L. Menut (2) , N. Blond (1)

1 LISA (UMR_7583) - Laboratoire Interuniversitaire des Systèmes Atmosphériques
2 IPSL - Institut Pierre-Simon-Laplace

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.

Domaines: Océan, Atmosphère; Sciences de la Terre

I. Pison, L. Menut, N. Blond. Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints. Annales Geophysicae, 2006, 24 (6), pp.1523-1535. ⟨10.5194/angeo-24-1523-2006⟩. ⟨hal-00330070⟩