Russian Meteorology and Hydrology

, Volume 43, Issue 11, pp 722–728 | Cite as

Development of Information-computational Infrastructure for Modern Climatology

  • E. P. Gordov
  • I. G. Okladnikov
  • A. G. Titov
  • N. N. Voropay
  • A. A. Ryazanova
  • V. N. Lykosov


The activities on the creation of information-computational infrastructure to support the climatic research initiated by academician V.P. Dymnikov are described. In particular, the solutions to the problem of working with big climatic and meteorological datasets are analyzed. The structure and functionality are presetned of the thematic web-GIS “Climate” whose software-hardware prototype operates at the Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of Russian Academy of Sciences. The system supports the interactive analysis of big climatic and meteorological datasets and the visualization of its results. The results of the analysis of aridity in South Siberia in the late 20th–early 21st centuries carried out using the web-GIS “Climate” prototype are presented.


Virtual research environment big environmental datasets climate change Ped’ drought index South Siberia 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A. A. Baklanov and E. P. Gordov, “Anthropogenic Risks: Monitoring, Management, and Correction of Anthropogenic Changes in Siberia. Computing Technologies,” in Selected Reports of International Conference on Environmental Observations, Modeling, and Information Systems: ENVIR 0MIS–2006 (Tomsk, Russia), Part 3, Vol. 11 (2006) [in Russian].Google Scholar
  2. 2.
    E. P. Gordov, V. N. Lykosov, V. N. Krupchatnikov, I. G. Okladnikov, A. G. Titov, and T. M. Shul’gina, Information–computational Technologies for Monitoring and Modeling of Climate Changes and Their Consequences (Novosibirsk, Nauka, 2013) [in Russian].Google Scholar
  3. 3.
    Yu. E. Gordova, Yu. V. Martynova, and T. M. Shul’gina, “Using the Information–computational Web–GIS for Development Climate Change Monitoring and Modeling Skills for Students–climatologists,” Izv. Irkutskogo Gosudarstvennogo Universiteta. Nauki o Zemle, 9 (2014) [in Russian].Google Scholar
  4. 4.
    O. A. Drozdov, Droughts and Moistening Dynamics (Gidrometeoizdat, Leningrad, 1980) [in Russian].Google Scholar
  5. 5.
    A. N. Zolotokrylin, V. V. Vinogradova, and E. A. Cherenkova, “Dynamics of Droughts in European Russia under Conditions of Global Warming,” in Problems of Environmental Monitoring and Modeling of Ecosystems, Vol. 21 (Gidrometeoizdat, St. Petersburg, 2007) [in Russian].Google Scholar
  6. 6.
    A. N. Zolotokrylin and E. A. Cherenkova, “Trends towards Moistening of the Grain Belt of Russia in the Early 21st Century,” in Problems of.Environmental Monitoring and Modeling of Ecosystems, Vol. 25 (IGKE Rosgidrometa i RAN, Moscow, 2013) [in Russian].Google Scholar
  7. 7.
    L. A. Kalinichenko, A. A. Voinova, E. P. Gordov, N. N. Kiseleva, D. A. Kovaleva, O. Yu. Malkov, I. G. Okladnikov, N. L. Podkoiodnyi, A. S. Pozanenko, N. V. Ponomareva, S. A. Stupnikov, and A. Z. Fazliev, “Data Access Challenges for Data Intensive Research in Russia,” Informatika i Ee Primeneniya, No. 1, 10 (2016) [in Russian].Google Scholar
  8. 8.
    A. V. Meshcherskaya, V. G. Blazhevich, M. P. Golod, and I. G. Belyankina, “Long–term Variations in Aridity Indices during the Warm Season in the Main Agricultural Zone of the USSR,” Trudy GGO, No. 505 (1986) [in Russian].Google Scholar
  9. 9.
    D. A. Ped’, “On the Drought Index and Overmoistening,” Trudy Gidromettsentra SSSR, No. 156 (1975) [in Russian].Google Scholar
  10. 10.
    E. A. Cherenkova and A. N. Zoiotokrylin, “On Comparability of Some Quantitative Drought Indices,” Fundamental’naya i Prikladnaya Klimatoiogiya, No. 2 (2016) [in Russian].Google Scholar
  11. 11.
    O. E. Yakubailik, “Internet GIS Portal,” Vychislitel’nye Tekhnoiogii, No. 3, 12 (2007) [in Russian].Google Scholar
  12. 12.
    S. W. Berrick, G. Leptoukh, J. D. Farley, and H. Rui, “GIOVANNI: A Web Service Workflow–based Data Visualization and Analysis System,” IEEE Trans. Geosci. Remote Sens., No. 1, 47 (2009).Google Scholar
  13. 13.
    L. Candela, D. Castelli, and P. Pagano, “Virtual Research Environments: An Overview and a Research Agenda,” Data Sci. J., No. 12 (2013).Google Scholar
  14. 14.
    D. de Roure, N. R. Jennings, and N. R. Shadbolt, “The Semantic Grid: A Future E–science Infrastructure,” in Grid Computing: Making the Global Infrastructure a Reality, Chapter 17.Google Scholar
  15. 15.
    D. P. Dee, S. M. Uppala, A. J. Simmons, P. Berrisford, P. Poli, S. Kobayashi, U. Andrae, M. A. Balmaseda, G. Balsamo, P. Bauer, P. Bechtold, A. C. M. Beljaars, L. van de Berg, J. Bidlot, N. Bormann, C. Delsoi, R. Dragani, M. Fuentes, A. J. Geer, L. Haimberger, S. B. Healy, H. Hersbach, E. V. Hylm, L. Isaksen, P. Kellberg, M. Kohler, M. Matricardi, A. P. McNally, B. M. Monge–Sanz, J.–J. Morcrette, B.–K. Park, C. Peubey, P. de Rosnay, C. Tavolato, J.–N. Thepaut, and F. Vitart, “The ERA–Interim Reanalysis: Configuration and Performance of the Data Assimilation System,” Quart. J. Roy. Meteorol. Soc., 137 (2011).Google Scholar
  16. 16.
    J. M. Frans, “Spatial Data Infrastructure for Meteorological and Climatic Data,” Meteorol. Appl., No. 7–8, 12 (2005).Google Scholar
  17. 17.
    E. P. Gordov, K. Bryant, O. N. Bulygina, I. Csiszar, J. Eberle, S. Fritz, I. Gerasimov, R. Gerlach, S. Hese, F. Kraxner, R. B. Lammers, G. Leptoukh, T. V. Loboda, I. McCallum, M. Obersteiner, I. G. Okladnikov, J. Pan, A. A. Prusevich, V. N. Razuvaev, P. Romanov, H. Rui, D. Schepaschenko, Ch. C. Schmullius, S. Shen, A. I. Shiklomanov, T. M. Shulgina, A. Z. Shvidenko, and A. G. Titov, “Development of Information–computational Infrastructure for Environmental Research in Siberia as a Baseline Component of the Northern Eurasia Earth Science Partnership Initiative (NEESPI) Studies,” in Regional Environmental Changes in Siberia and Their Global Consequences, Ed. by P. Ya. Groisman and G. Gutman (Springer, 2013).Google Scholar
  18. 18.
    E. P. Gordov, A. Z. Fazliev, V. N. Lykosov, I. G. Okladnikov, and A. G. Titov, “Development of Web Based Information–computational Infrastructure for Siberia Integrated Regional Study,” in Environmental Change in Siberia, Earth Observation, Field Studies and Modelling, Ser.: Advances in Global Change Research, 40 (2010).Google Scholar
  19. 19.
    E. P. Gordov, V. N. Krupchatnikov, I. G. Okladnikov, and A. Z. Fazliev, “Thematic Virtual Research Environment for Analysis, Evaluation and Prediction of Global Climate Change Impacts on the Regional Environment,” in Proc. SPIE, Vol. 10035, 22nd Int. Symp. Atmospheric a–nd Oceanic Optics: Atmospheric Physics, 100356JGoogle Scholar
  20. 20.
    E. P. Gordov, V. N. Lykosov, and A. Z. Fazliev, “Web Portal on Environmental Sciences “ATMOS”,” in Advances in Geosciences, Vol. 8 (European Geosciences Union, 2006).Google Scholar
  21. 21.
    E. P. Gordov, V. N. Lykosov, E. Yu. Genina, and Yu. E. Gordova, “International Conferences and Young Scientists Schools on Computational Information Technologies for Environmental Sciences (CITES) as a Professional Growth Instrument,” IOP Conf. Series: Earth and Environmental Science, 96 (2017).Google Scholar
  22. 22.
    E. P. Gordov, V. N. Lykosov, Yu. E. Gordova, and E. Yu. Genina, “Multidisciplinary ENVIROMIS Conferences as a Tool Connecting Climate Information Procedures and Users,” IOP Conf. Series: Earth and Environmental Science, 48 (2016).Google Scholar
  23. 23.
    E. P. Gordov, A. Shiklomanov, I. Okladnikov, A. Prusevich, and A. Titov, “Development of Distributed Research Center for Analysis of Regional Climatic and Environmental Changes,” IOP Conf. Series: Earth and Environmental Science, 48 (2016).Google Scholar
  24. 24.
    E. P. Gordov and E. A. Vaganov, “Siberia Integrated Regional Study: Multidisciplinary Investigations of the Dynamic Relationship between the Siberian Environment and Global Climate Change,” Environ. Res. Lett., No. 1, 5 (2010).Google Scholar
  25. 25.
    T. O’Reilly, “What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software,” Meteoroi. Appl., No. 1, 12 (2005).Google Scholar
  26. 26.
    G. Peng, J. L. Privette, E. J. Kearns, N. A. Ritchey, and S. Ansari, “A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets,” Data Sci. J., 13 (2014).Google Scholar
  27. 27.
    A. A. Riazanova, N. N. Voropay, I. G. Okladnikov, and E. P. Gordov, “Development of Computational Module of Regional Aridity for Web–GIS “Climate”,” in The Open Access Volume of IOP Conf. Series: Earth and Environmental Science, No. 1, 48 (2016).Google Scholar
  28. 28.
    J. L. Schnase, D. Q. Duffy, M. A. McInerney, W. P. Webster, and T. J. Lee, “Climate Analytic as a Service,” in Proc. Conf. on Big Data from Space BiDS’14 (ESA–ESRIN, 2014).Google Scholar
  29. 29.
    T. M. Shulgina, Yu. E. Genina, and E. P. Gordov, “Dynamics of Climatic Characteristics Influencing Vegetation in Siberia,” Environ. Res. Lett., 6 (2011).Google Scholar
  30. 30.
    A. Titov, E. Gordov, I. Okladnikov, and T. Shulgina, “Web–system for Processing and Visualization of Meteorological Data for Siberian Environment Research,” Int. J. Digital Earth, No. S1, 2 (2009).Google Scholar
  31. 31.
    A. G. Titov, I. G. Okladnikov, and E. P. Gordov, “Architecture of a Spatial Data Service System for Statistical Analysis and Visualization of Regional Climate Changes,” IOP Conf. Series: Earth and Environmental Science, 96 (2017).Google Scholar

Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  • E. P. Gordov
    • 1
    • 2
  • I. G. Okladnikov
    • 1
  • A. G. Titov
    • 1
  • N. N. Voropay
    • 1
  • A. A. Ryazanova
    • 1
  • V. N. Lykosov
    • 3
    • 4
  1. 1.Institute of Monitoring of Climatic and Ecological Systems, Siberian BranchRussian Academy of SciencesTomskRussia
  2. 2.Tomsk State UniversityTomskRussia
  3. 3.Marchuk Institute of Numerical MathematicsRussian Academy of SciencesMoscowRussia
  4. 4.Lomonosov Moscow State University, GSP-1MoscowRussia

Personalised recommendations