Název:
Data assimilation methods used in the ASIM module
Autoři:
Šmídl, Václav ; Hofman, Radek ; Pecha, Petr Typ dokumentu: Výzkumné zprávy
Rok:
2013
Jazyk:
eng
Edice: Research Report
Abstrakt: Comprehensive review of data assimilation methods for improvement of the model predictions of consequences of a radiation accident. The methods of the numerical optimization techniques and sequential Monte Carlo techniques are implemented. Applications in the field of consequence assessments are presented.
Klíčová slova:
Accident; Assimilation; Filtering; Predictions Číslo projektu: VG20102013018 (CEP) Poskytovatel projektu: GA MV