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Innovative numerical methods and software design that improve the performance, portability, and scientific accuracy of models running on next-generation exascale computers
Improve cloud computing capabilities to address computing and data challenges of the end-to-end Unified Forecast System used by NOAA, EPIC, and the research community
Develop machine learning algorithms to increase the utilization of observations in data assimilation, improve model prediction capabilities, and enable a better understanding of diverse, dense and complex data
Investigate new techniques to analyze, integrate, display, and interpret data to serve diverse applications and end-user requirements
Explore advanced data assimilation methodologies and other techniques that improve the scientific accuracy and computational efficiency of assimilation models
Technologies being Explored
Cloud computing
Machine learning
High-Performance Computing with CPU, GPU, and ARM processors