Derived GOES Cloud Products using NASA's Columbia Supercomputer: the transition to a parallel processing environment
Abstract
The transition of NASA Langley's GOES cloud algorithms to Project Columbia Supercomputer will enable GOES derived products to be processed in real-time and assimilated into operational products such as the National Weather Service Aviation Weather Center Current Icing Potential (CIP) product. The demand for real- time high temporal and spatial GOES products from both GOES West and East satellites has overloaded the current processing system and computer resources. NASA's Project Columbia Supercomputer, the world's second fastest computer, will be use to satisfy this requirement. This poster will summarize the lessons learned and the improvements gained from transition from a single CPU to multi-CPU parallel processing environment and will detail future processing requirements of GOES-R next generation GOES satellites.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2006
- Bibcode:
- 2006AGUFM.A21F0923N
- Keywords:
-
- 0399 General or miscellaneous