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

doi:10.1093/oxfordjournals.rpd.a006160

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 output › peer-review

Abstract

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 language	English
Pages (from-to)	31-40
Number of pages	10
Journal	Radiation protection dosimetry
Volume	104
Issue number	1
DOIs	https://doi.org/10.1093/oxfordjournals.rpd.a006160
State	Published - 2003

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Cite this

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title = "Data assimilation in the decision support system RODOS",

abstract = "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.",

keywords = "data assimilation, decision suuport systems, nuclear emergency management",

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T1 - Data assimilation in the decision support system RODOS

AU - Rojas Palma, Carlos

AU - Henrik, Madsen

AU - Gering, Florian

AU - Puch, Roberto O.

AU - Turcanu, Catrinel

AU - Astrup, Poul

AU - Heinz, Mueller

AU - Richter, Klaus

AU - Zheleznyak, M.

AU - Treebushny, D.

AU - Kolomeev, M.

AU - Kamaev, D.

AU - Wynn, H.

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AB - 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.

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KW - decision suuport systems

KW - nuclear emergency management

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