Technology
Highlight:
Decision support systems
At RAL, ongoing research and development continues toward improving technology for decision-makers to increase public safety and for road, rail and airport efficiency.
- Technology Areas
Algorithms
The Research Applications Laboratory has a large team of scientists and engineers with extensive experience in the design, development and implementation of meteorological algorithms used in diagnosing and forecasting weather phenomena. more
Community Code
Community code is a free and shared software resource with distributed development and centralized support. more
Computing Infrastructure
RAL's computing infrastructure relies on a growing infrastructure of rack-mounted data servers and parallel computing clusters attached to large RAID storage systems. more
Data Management and Distribution
Data management services within RAL include a large suite of tools for data generation, archiving, distribution, and visualization. more
Data Mining
The data mining field encompasses a wide variety of application domains including astronomy, atmospheric science, bioinformatics, business, computer vision, economics, high energy physics, medical imaging, molecular chemistry, robotics, security, surveillance and so on. more
Decision Support Systems
Decision support systems are one of the core technology areas developed at the Research Applications Laboratory (RAL). more
Engineering Expertise
RAL has engineering expertise in algorithm development, data visualization and many program languages. more
Model Development
Striving to accurately represent the weather from advanced modeling and data assimilation methods is only part of the mission, more
Software Engineering Process
Software engineering process and practices are the structures imposed on development of a software product. more
Technology transfer
RAL is a scientific R&D organization tasked to develop real world weather-related decision support applications for clients. more
