Big Ensemble Data Assimilation in Numerical Weather Prediction
Takemasa Miyoshi, Keiichi Kondo, Koji Terasaki
Abstract
Takemasa Miyoshi, Keiichi Kondo, Koji Terasaki
Abstract
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.
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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.
Key concepts: Data assimilation, Numerical weather prediction, Computer science, Big data, Weather forecasting, Supercomputer, Weather prediction, Global Forecast System