Name
Abstract | ||
|---|---|---|
The IEEE Scientific Visualization Contest 2017 addressed the arising challenges in the visualization and analysis of atmospheric cloud-resolving simulations. In this paper, we utilize direct and indirect methods to represent atmospheric attributes such as cloud water content and air pressure, and employ Eulerian and Lagrangian techniques for air flow visualization. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MCG.2018.2880821 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Clouds,Data visualization,Rain,Atmospheric modeling,Computational modeling,Data models | Meteorology,Computer vision,Data visualization,Visualization,Computer science,Atmospheric pressure,Atmospheric model,Airflow,Eulerian path,Artificial intelligence,Scientific visualization,Cloud computing | Journal |
Volume | Issue | ISSN |
39 | 1 | 0272-1716 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noël Rimensberger | 1 | 0 | 0.34 |
| Markus H. Gross | 2 | 10154 | 549.95 |
| Tobias Günther | 3 | 35 | 8.34 |