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Russian Journal of Cybernetics, 2022, Volume 3, Issue 4, Pages 98–101
DOI: https://doi.org/10.51790/2712-9942-2022-3-4-11
(Mi uk32)
 

This article is cited in 1 scientific paper (total in 1 paper)

The national hydrometeorological archive as big data. Appropriate technologies and tools

L. O. Peretyatko

All-Russia Research Institute of Hydrometeorological Information, World Data Center, Obninsk, Russian Federation
Full-text PDF (110 kB) Citations (1)
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Abstract: We considered the records of the National Hydrometeorological Archive (NHMA) as Big Data and presented the technologies and tools for processing the NHMA data. The NHMA stores information on hydrometeorology and related areas (meteorology, aerology, hydrology, oceanology, etc.) both on paper and digitally. Digital primary data are of particular interest to data analysts. The data are divided into layers. This paper presents the rationale for considering the USDF records as big data and describes their features. We used the publicly available climate research records stored and replenished by the All-Russia Research Institute of Hydrometeorological Information, World Data Center as an example of big data. The paper also lists the technologies and tools to be applied for more efficient handling of the NHMA data.
Keywords: Russian National Hydrometeorological Archive, big data, data description language for hydrometeorological data, data processing technologies, data conversion technologies.
Document Type: Article
Language: Russian
Citation: L. O. Peretyatko, “The national hydrometeorological archive as big data. Appropriate technologies and tools”, Russian Journal of Cybernetics, 3:4 (2022), 98–101
Citation in format AMSBIB
\Bibitem{Per22}
\by L.~O.~Peretyatko
\paper The national hydrometeorological archive as big data. Appropriate technologies and tools
\jour Russian Journal of Cybernetics
\yr 2022
\vol 3
\issue 4
\pages 98--101
\mathnet{http://mi.mathnet.ru/uk32}
\crossref{https://doi.org/10.51790/2712-9942-2022-3-4-11}
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  • https://www.mathnet.ru/eng/uk32
  • https://www.mathnet.ru/eng/uk/v3/i4/p98
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Russian Journal of Cybernetics
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    Full-text PDF :11
    References:5
     
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