Name
Abstract | ||
|---|---|---|
LEAD is a large-scale effort to build a service-oriented infrastructure that allows atmospheric science researchers to dynamically and adaptively respond to weather patterns to produce better-than-real time predictions of tornadoes and other “mesoscale” weather events. In this paper we discuss an architectural framework that is forming our thinking about adaptability and give early solutions in workflow and monitoring. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11428848_81 | International Conference on Computational Science (2) |
Keywords | Field | DocType |
early solution,architectural framework,towards dynamically adaptive weather,atmospheric science researcher,service-oriented infrastructure,large-scale effort,better-than-real time prediction,weather event,real time,atmospheric science | Adaptability,Hardware performance counter,Tornado,Industrial engineering,Computer science,Collaborative software,Architecture framework,Mesoscale meteorology,Operations research,Workflow,Weather analysis,Distributed computing | Conference |
Volume | ISSN | ISBN |
3515 | 0302-9743 | 3-540-26043-9 |
Citations | PageRank | References |
36 | 4.36 | 6 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beth Plale | 1 | 1837 | 142.80 |
| Dennis Gannon | 2 | 2514 | 330.26 |
| Dan Reed | 3 | 559 | 34.90 |
| Sara Graves | 4 | 128 | 17.02 |
| Kelvin Droegemeier | 5 | 102 | 13.25 |
| Bob Wilhelmson | 6 | 59 | 7.08 |
| Mohan Ramamurthy | 7 | 80 | 9.88 |