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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https://hal.inria.fr/inria-00527208
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Submitted on : Monday, October 18, 2010 - 3:02:49 PM
Last modification on : Friday, May 25, 2018 - 12:02:03 PM

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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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