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Automatic Data Quality Control of Environmental Data

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Large-Scale Scientific Computing (LSSC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7116))

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Abstract

The modern physics needs large uninterrupted data for advanced study. The research data must be reliable, precise, adequate and available on time. It can happen only with working advanced information systems. Those systems must implement the most advanced technologies, algorithms and knowledge of informatics, programming and mathematics. This article describes an automatic data quality control of large amount of real time uninterrupted data, implemented in the Institute for Nuclear Research and Nuclear Energy (INRNE) at the BEO Observatory at Moussala.

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References

  1. Angelov, C., et al.: BEO Moussala - A New Facility for Complex Environmental Studies. In: Zhelezov, G. (ed.) Sustainable Development in Mountain Regions, ch. 11, pp. 123–139 (2011)

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  2. Ries, L.: How to Keep the Quality Chain, Work Flow-Oriented Data Processing for Global Atmosphere Watch Measurement Stations. In: Hryniewicz, O., Studzinski, J., Szediw, A. (eds.) Environmental Informatics and System Research Workshop and Application Papers, vol. 2, pp. 109–112. Shaker Verlag, Aachen (2007)

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  3. Brockwell, P., Davis, R.: Introduction to Time Series and Forecasting. Springer, Heidelberg (2002)

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Author information

Authors and Affiliations

  1. Institute for Nuclear Research and Nuclear Energy, BAS, 72 Tzarigradsko chaussee, Blvd., 1784, Sofia, Bulgaria

    A. Tchorbadjieff

Authors
  1. A. Tchorbadjieff
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Editor information

Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev, Block 25A, 1113, Sofia, Bulgaria

    Ivan Lirkov  & Svetozar Margenov  & 

  2. Department of Informatics and Mathematical Modelling, Technical University of Denmark, Richard Petersens Plads, Building 321,, 2800, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Tchorbadjieff, A. (2012). Automatic Data Quality Control of Environmental Data. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2011. Lecture Notes in Computer Science, vol 7116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29843-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-29843-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29842-4

  • Online ISBN: 978-3-642-29843-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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