3D Visualisation of continuous, multidimensional, meteorological Satellite Data
| dc.contributor.author | Lutz, Richard | |
| dc.contributor.editor | Gómez, Jorge Marx | |
| dc.contributor.editor | Sonnenschein, Michael | |
| dc.contributor.editor | Vogel, Ute | |
| dc.contributor.editor | Winter, Andreas | |
| dc.contributor.editor | Rapp, Barbara | |
| dc.contributor.editor | Giesen, Nils | |
| dc.date.accessioned | 2019-09-16T03:13:06Z | |
| dc.date.available | 2019-09-16T03:13:06Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Ten years of earth observation by the MIPAS instrument aboard the European environmental satellite Envisat [1] led to a considerable amount of measurement and processed data, which has to be managed and visualized by powerful and flexible software tools. This paper gives an overview about new concepts, tools and methods for the 3D visualisation of continuous, multidimensional, meteorological Satellite Data, which are realised with WISA (Wissenschaftliches Informationssystem für die Atmosphärenforschung – Scientific Information System for atmospheric Research). A major goal of the visualisation is the recognition of correlations between different trace gas concentrations (e.g. ozone, chlorine nitrate, chlorofluorocarbons, etc.) and the visualisation of trace gas distributions where the main focus was laid on the polar areas. | de |
| dc.description.uri | http://enviroinfo.eu/sites/default/files/pdfs/vol8514/0707.pdf | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/25798 | |
| dc.publisher | BIS-Verlag | |
| dc.relation.ispartof | Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management | |
| dc.relation.ispartofseries | EnviroInfo | |
| dc.title | 3D Visualisation of continuous, multidimensional, meteorological Satellite Data | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Oldenburg | |
| gi.conference.date | 2014 | |
| gi.conference.location | Oldenburg | |
| gi.conference.sessiontitle | Mobility and Sensors |