Data assimilation in the decision support system RODOS

Carlos Rojas Palma, Madsen Henrik, Florian Gering, Roberto O. Puch, Catrinel Turcanu, Poul Astrup, Mueller Heinz, Klaus Richter, M. Zheleznyak, D. Treebushny, M. Kolomeev, D. Kamaev, H. Wynn

    Research outputpeer-review


    Model predictions for a rapid assessment and prognosis of possible radiological consequences after an accidental realease of radionculides play an important role in nuclear emergency management. Radiological observations, e.g., dose rate measurements, can be used to improve such model predictions. The process of combining model predicitons with observations, usually referred to as data assimilation is described in this article within the framework of the real time on line decision support system for nuclear emergency management in Europe.
    Original languageEnglish
    Pages (from-to)31-40
    Number of pages10
    JournalRadiation protection dosimetry
    Issue number1
    StatePublished - 2003

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