Name
Abstract | ||
|---|---|---|
We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of weather and wildfire behavior from real-time weather data, images, and sensor streams. The system changes the forecast as new data is received. We encapsulate the model code and apply an ensemble Kalman filter in time-space with a highly parallel implementation. In this paper, we discuss how we will demonstrate that our system works using a DDDAS testbed approach and data collected from an earlier fire. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11758532_69 | International Conference on Computational Science (3) |
Keywords | Field | DocType |
dynamic data driven application,parallel implementation,ongoing effort,wildfire dddas,short-range forecast,dddas testbed approach,real-time weather data,system change,model code,new data,earlier fire,real time,ensemble kalman filter,data collection | Simulation,Parallel algorithm,Computer science,Testbed,Real-time computing,Kalman filter,Dynamic data,Data assimilation,Weather data,Ensemble Kalman filter,Dynamical system,Distributed computing | Conference |
Volume | ISSN | ISBN |
3993 | 0302-9743 | 3-540-34383-0 |
Citations | PageRank | References |
14 | 1.43 | 4 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Craig C. Douglas | 1 | 265 | 39.80 |
| Jonathan D. Beezley | 2 | 101 | 14.55 |
| Janice Coen | 3 | 30 | 2.38 |
| Deng Li | 4 | 14 | 1.43 |
| Wei Li | 5 | 447 | 68.94 |
| Alan K. Mandel | 6 | 14 | 1.43 |
| Jan Mandel | 7 | 444 | 69.36 |
| Guan Qin | 8 | 96 | 12.51 |
| Anthony Vodacek | 9 | 119 | 17.07 |