Abstract
Two closely linked projects aim to dramatically improve storm forecasting speed and accuracy. CASA is creating a distributed, collaborative, adaptive sensor network of low-power, high-resolution radars that respond to user needs. LEAD offers dynamic workflow orchestration and data management in a Web services framework designed to support on-demand, real-time, dynamically adaptive systems.
| Original language | English |
|---|---|
| Pages | 56-64 |
| Number of pages | 9 |
| Volume | 39 |
| No | 11 |
| Specialist publication | Computer |
| DOIs | |
| State | Published - Nov 2006 |
Keywords
- CASA
- Grid computing
- LEAD
- Multiscale modeling
- System-evel science
- Weather Forecasting
- Web services
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