Konferenzbeitrag
Management of Meteorological Mass Data with MongoDB
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Dokumententyp
Text/Conference Paper
Datum
2014
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
High Performance Computing and Big Data
Verlag
BIS-Verlag
Zusammenfassung
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.