Type: Article
Venue: 2014 AMS Annual Meeting, Atlanta Georgia
Citation:
Werbos, A, E. Steinfelt, J. Bentley, E. Kennelly, D. Hogan, H. Snell, and T. S. Zaccheo: Process and Technologies for the Transition of Research Algorithms to Operations for Real-Time Satellite Processing; Fourth Conference on Transition of Research to Operations, PM 3.4, 2014 AMS Annual Meeting, Atlanta Georgia.
Resource File: Process and Technologies for the Transition of Research Algorithms to Operations for Real-Time Satellite Processing.pdf
When transitioning algorithms from research to Operations, the algorithm software can either be adapted from existing sources, or be implemented from scratch. While either of these approaches can produce effective ground systems, both can introduce significant overheads and risks.
We consider three typical approaches to transitioning research algorithms to operations. While each of them is capable of producing an effective system, there also involve tradeoffs. Up-front development, maintainability, and hardware requirements must be kept in careful balance to ensure project success, and stakeholders must be aware of the way the compromises will manifest in the resulting operational platform.
In the architectural approach described here, the operational concept for multi-mission algorithm uses the software and science development of remote sensing algorithms. Key features include a common data model interface across
development, test and production environments, configurable algorithm components and a multimission approach to the science algorithm development. This approach has the potential to improve the science to operations process with the result of transitioning the latest science capabilities faster and with less expense than currently.