| dc.contributor.author | Stainforth, D.A. | en_US |
| dc.contributor.author | Frame, D. | en_US |
| dc.contributor.author | Walton, J.P.R.B. | en_US |
| dc.contributor.editor | Oliver Deussen and Charles Hansen and Daniel Keim and Dietmar Saupe | en_US |
| dc.date.accessioned | 2014-01-30T07:46:03Z | |
| dc.date.available | 2014-01-30T07:46:03Z | |
| dc.date.issued | 2004 | en_US |
| dc.identifier.isbn | 3-905673-07-X | en_US |
| dc.identifier.issn | 1727-5296 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/VisSym/VisSym04/103-108 | en_US |
| dc.description.abstract | Climateprediction.net aims to harness the spare CPU cycles of a million individual users PCs to run a massive ensemble of climate simulations using an up-to-date, full-scale 3D atmosphere-ocean climate model. Although it has many similarities with other public-resource computing projects, it is distinguished by the complexity of its computational task, its system demands and the level of participant interaction, data volume and analysis procedures. For simulations running on individual PCs, there is a requirement for visualizations that are compelling and readily grasped, since most users will be interested in the output from the model, but will have a limited level of scientific experience. This paper describes the design and implementation of these visualizations. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Visualization For Public-Resource Climate Modeling | en_US |
| dc.description.seriesinformation | Eurographics / IEEE VGTC Symposium on Visualization | en_US |
