Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints
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 si...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2006-07-01
|
| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/24/1523/2006/angeo-24-1523-2006.pdf |
| _version_ | 1818364490462265344 |
|---|---|
| author | I. Pison L. Menut N. Blond |
| author_facet | I. Pison L. Menut N. Blond |
| author_sort | I. Pison |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T22:05:12Z |
| format | Article |
| id | doaj.art-3ab723647ac541d0bed60598c3521b51 |
| institution | Directory Open Access Journal |
| issn | 0992-7689 1432-0576 |
| language | English |
| last_indexed | 2024-12-13T22:05:12Z |
| publishDate | 2006-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Annales Geophysicae |
| spelling | doaj.art-3ab723647ac541d0bed60598c3521b512022-12-21T23:29:53ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762006-07-01241523153510.5194/angeo-24-1523-2006Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraintsI. Pison0L. Menut1N. Blond2LISA, Université Paris 7, Paris 12, CNRS, UMR7583, Créteil, FranceLMD/IPSL, UMR8539, Ecole Polytechnique, Palaiseau, FranceLISA, Université Paris 7, Paris 12, CNRS, UMR7583, Créteil, FranceA 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.https://www.ann-geophys.net/24/1523/2006/angeo-24-1523-2006.pdf |
| spellingShingle | I. Pison L. Menut N. Blond Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints Annales Geophysicae |
| title | Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints |
| title_full | Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints |
| title_fullStr | Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints |
| title_full_unstemmed | Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints |
| title_short | Inverse modeling of emissions for local photooxidant pollution: Testing a new methodology with kriging constraints |
| title_sort | inverse modeling of emissions for local photooxidant pollution testing a new methodology with kriging constraints |
| url | https://www.ann-geophys.net/24/1523/2006/angeo-24-1523-2006.pdf |
| work_keys_str_mv | AT ipison inversemodelingofemissionsforlocalphotooxidantpollutiontestinganewmethodologywithkrigingconstraints AT lmenut inversemodelingofemissionsforlocalphotooxidantpollutiontestinganewmethodologywithkrigingconstraints AT nblond inversemodelingofemissionsforlocalphotooxidantpollutiontestinganewmethodologywithkrigingconstraints |