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Advanced Technology Division
Explore and apply new technologies and methodologies in computing, modeling, visualization, data access and delivery to advance NOAA’s earth system prediction and decision support capabilities
Depiction of a machine learning algorithm used to identify hurricanes and typhoons (red boxes) in GOES satellite data →
Focus Areas:
- 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
- Advanced modeling and data assimilation
- Data access, discovery and delivery
- Informatics and visualization
- Virtual services
Applications
- Science On a Sphere®
- Researchers at GSL developed Science On a Sphere® (SOS) as an educational tool to help illustrate Earth system science to people of all ages.
- SOS Explorer™
- SOS Explorer™ (SOSx) is a flat-screen desktop version of SOS. SOSx comes with an intuitive touchscreen interface so users choose which visualizations they want to explore. The datasets can be viewed on a virtual globe, as a flat map, or in 3D with virtual reality goggles.
- Central Weather Bureau of Taiwan
- GSL works with the Central Weather Bureau of Taiwan to improve their hazardous weather monitoring and forecasting and develops high-resolution forecast product generation assistance tools.
- Meteorological Assimilation Data Ingest System (MADIS)
- MADIS is now operational, but research continues to enhance the system to fully leverage advances in technology and science.
- AQPI
- The AQPI System is a precipitation monitoring, alerting, and hydrological information system tailored for operational use by water agencies in the San Francisco Bay (SF-Bay) area. What to monitor, when to alert, and what information to provide will be driven by each water agency.
- Geophysical Fluid Object Workbench (GeoFLOW)