Data assimilation for short range atmospheric dispersion of radionuclides : a case study of second-order sensitivity

Abstract : This article presents the application of variational data assimilation to a simple Gaussian plume model for radionuclides. Adjoint modeling is applied to the model in order to minimize discrepancies between contamination observations and model outputs. The interest of such an approach is to get a better estimation of some parameters such as emissions or dispersion parameters. A second-order analysis is also performed to assess the sensitivity of the optimized parameters to some poorly known parameters. Sensitivity with respect to network design is also done.
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Article dans une revue
Journal of Environmental Radioactivity, Elsevier, 2005, 84-3, pp.393-408. 〈10.1016/j.jenvrad.2005.04.011〉
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https://hal.inria.fr/inria-00527208
Contributeur : Brigitte Briot <>
Soumis le : lundi 18 octobre 2010 - 15:02:49
Dernière modification le : vendredi 25 mai 2018 - 12:02:03

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Denis Quélo, Bruno Sportisse, Olivier Isnard. Data assimilation for short range atmospheric dispersion of radionuclides : a case study of second-order sensitivity. Journal of Environmental Radioactivity, Elsevier, 2005, 84-3, pp.393-408. 〈10.1016/j.jenvrad.2005.04.011〉. 〈inria-00527208〉

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