Data Assimilation and Source Estimation for CBRN incidents

CBRN = Chemical, Biological, Radiological and Nuclear. The objective is the systematic study and elucidation of the basic physico-mathematical principles underlying data assimilation in the chem-bio context, that is, the blending of chem-bio dispersion forecasts with uncertain sensor data. This problem is mathematically characterized by high dimensionality, profoundly nonlinear models, and uncertainties with non-Gaussian non-stationary distributions.

  • G. Terejanu, Y. Cheng, T. Singh, and P. D. Scott, “Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole 26 Data,” in Chemical and Biological Defense Physical Science and Technology Conference, New Orleans, 2008.
    [BibTeX]
    @CONFERENCE{TerejanuP_CBD_2008,
    author = {Gabriel Terejanu and Yang Cheng and Tarunraj Singh and Peter D. Scott},
    title = {{Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole 26 Data}},
    booktitle = {{Chemical and Biological Defense Physical Science and Technology Conference, New Orleans}},
    year = {2008},
    month = {November},
    }

  • G. Terejanu, T. Singh, and P. D. Scott, “Unscented Kalman Filter/Smoother for a CBRN Puff-Based Dispersion Model,” in 11th International Conference on Information Fusion, Quebec City, Canada, 2007.
    [BibTeX]
    @CONFERENCE{TerejanuP_IF_2007,
    author = {Gabriel Terejanu and Tarunraj Singh and Peter D. Scott},
    title = {{Unscented Kalman Filter/Smoother for a CBRN Puff-Based Dispersion Model}},
    booktitle = {{11th International Conference on Information Fusion, Quebec City, Canada}},
    year = {2007},
    month = {July},
    }