Management of Meteorological Mass Data with MongoDB
| dc.contributor.author | Lutz, Richard | |
| dc.contributor.author | Ameri, Parinaz | |
| dc.contributor.author | Latzko, Thomas | |
| dc.contributor.author | Meyer, Jörg | |
| 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 | 2019-09-16T03:13:03Z | |
| dc.date.available | 2019-09-16T03:13:03Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | The remote sensing of atmospheric trace gases investigates dynamic, microphysical and chemical processes in the Earth’s atmosphere, with the goal to understand, quantify and predict its natural variability and long-term changes. Accurate measurements of atmospheric trace gases from various observational platforms (ground-based stations, air craft, balloons, satellites) provide the data that are required for the modelling of atmospheric processes. The instrument GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere), developed by KIT/IMK and FZ Jülich, an Infrared Spectrometer, which measures atmospheric emissions, was engaged in several measurement campaigns on board of HALO (High Altitude and Long Range Research Aircraft) and provided a large amount of data, which has to be managed efficiently for processing and visualisation. This paper describes the system background and the use of MongoDB for the provision of measured and processed mass data. | de |
| dc.description.uri | http://enviroinfo.eu/sites/default/files/pdfs/vol8514/0549.pdf | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/25776 | |
| 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 | Management of Meteorological Mass Data with MongoDB | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Oldenburg | |
| gi.conference.date | 2014 | |
| gi.conference.location | Oldenburg | |
| gi.conference.sessiontitle | High Performance Computing and Big Data |