Title :
Big Ensemble Data Assimilation in Numerical Weather Prediction
Author :
Miyoshi, Takemasa ; Kondo, Keiichi ; Terasaki, Koji
Author_Institution :
Adv. Inst. for Comput. Sci., RIKEN, Kobe, Japan
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.
Keywords :
Big Data; data assimilation; environmental science computing; meteorology; statistical analysis; NWP; atmospheric state; big ensemble data assimilation; dynamical systems theory; numerical weather prediction; simulations; statistical mathematics; supercomputing; Atmospheric modeling; Big data; Computational modeling; Data models; Predictive models; Weather forecasting; big data; data assimilation; high-performance computing; large ensemble; numerical weather prediction; visualization;
DOI :
10.1109/MC.2015.332
