Item: The MeteoIO Pre-Processing Library for operational applications
-
-
Title: The MeteoIO Pre-Processing Library for operational applications
Proceedings: International Snow Science Workshop Proceedings 2018, Innsbruck, Austria
Authors:
- Mathias Bavay [ Institute for Snow and Avalanche Research SLF, Davos, Switzerland ]
- Joel Fiddes [ World Meteorological Organization, Geneva, Switzerland ]
- Charles Fierz [ Institute for Snow and Avalanche Research SLF, Davos, Switzerland ]
- Michael Lehning [ Institute for Snow and Avalanche Research SLF, Davos, Switzerland ]
- Fabiano Monti [ Alpsolut, Livigno, Italy ]
- Thomas Egger [ Egger Consulting, Vienna, Austria ]
Date: 2018-10-07
Abstract: Originally developed to fulfill the needs of applications consuming meteorological data, the Open Source MeteoIO library offers many valuable features for operational systems. It has been from the very start developed with a focus on robustness and efficiency for applications that must run unattended. Its use has been expanded to cover a wide variety of operational tasks from monitoring to data standardization to data hub and from time series at single locations to time series of gridded data. It is now used by several operational services as well as several companies.
Language of Article: English
Presenters:
Keywords: meteorological data, data processing, quality control
Page Number(s): 696-700
-
Digital Abstract Not Available
-