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Big Ensemble Data Assimilation in Numerical Weather Prediction.

Powerful computers and advanced sensors enable precise simulations of the atmospheric state, requiring data assimilation to connect simulations to real-world sensor data using statistical mathematics and dynamical systems theory. Numerical weather prediction (NWP) thus enables simulations that more...

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Publicado en:Computer (00189162) Vol. 48; no. 11; pp. 15 - 22
Autores principales: Miyoshi, Takemasa, Kondo, Keiichi, Terasaki, Koji
Formato: Artículo
Publicado: IEEE Nov2015
Materias:
Big data
Weather forecasting
Computer simulation
Statistics
Dynamical systems
Acceso en línea:Ver este registro en EBSCOhost
Sumario:Powerful computers and advanced sensors enable precise simulations of the atmospheric state, requiring data assimilation to connect simulations to real-world sensor data using statistical mathematics and dynamical systems theory. Numerical weather prediction (NWP) thus enables simulations that more closely represent the real world. The authors explore the NWP-associated challenges in managing big data through supercomputing.