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The Algorithm for Transferring a Large Number of Radionuclide Particles in a Parallel Model of Ocean Hydrodynamics

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Supercomputing (RuSCDays 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 965))

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Abstract

The aim of the research is concerned with the description of algorithm of transferring a large, up to 106, number of radionuclide particles in a general circulation model of the ocean, INMIO. Much attention is paid to the functioning of the algorithm in conditions of the original model parallelism. The order of the information storage necessary in the course of model calculations is given in this paper. The important aspects of saving calculated results to external media are revealed. The algorithm of radionuclide particles decay is described. The results of the experiment obtained by calculation of the original model based on the configuration of the Laptev Sea are presented.

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References

  1. Zhang, Z., Chen, Q.: Comparison of the Eulerian and Lagrangian methods for predicting particle transport in enclosed spaces. Atmos. Environ. 41(25), 5236–5248 (2007)

    Article  Google Scholar 

  2. Durst, F., Milojevic, D.: Eulerian and Lagrangian predictions of particulate two-phase flows: a numerical study. Appl. Math. Model. 8, 101–115 (1984)

    Article  MathSciNet  Google Scholar 

  3. Bilashenko, V.P., et al.: Prediction and evaluation of the radioecological consequences of a hypothetical accident on the sunken nuclear submarine B-159 in the Barents Sea Antipov. At. Energ. 119(2), 132–141 (2015)

    Article  Google Scholar 

  4. Heldal, H.E., Vikebo, F., Johansen, G.O.: Dispersal of the radionuclide Caesium-137 from point sources in the barents and norwegian seas and its potential contamination of the arctic marine food chain: coupling numerical ocean models with geographical fish distribution. Environ. Pollut. 180, 190–198 (2013)

    Article  Google Scholar 

  5. Döös, K., Kjellsson, J., Jönsson, B.: TRACMASS—a lagrangian trajectory model. In: Soomere, T., Quak, E. (eds.) Preventive Methods for Coastal Protection, pp. 225–249. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-319-00440-2_7

    Chapter  Google Scholar 

  6. Döös, K., Jönsson, B., Kjellsson, J.: Evaluation of oceanic and atmospheric trajectory schemes in the TRACMASS trajectory model v6.0. Geosci. Model Dev. 10, 1733–1749 (2017)

    Article  Google Scholar 

  7. Blanke, B., Raynaud, S.: Kinematics of the pacific equatorial undercurrent: an eulerian and lagrangian approach from GCM results. J. Phys. Oceanogr. 27, 1038–1053 (1997)

    Article  Google Scholar 

  8. Paris, C.B., Helgers, J., van Sebille, E., Srinivasan, A.: Connectivity Modeling System: A probabilistic modeling tool for the multiscale tracking of biotic and abiotic variability in the ocean. Environ. Modell. Softw. 42, 47–54 (2013)

    Article  Google Scholar 

  9. Lange, M., Sebille, E.: Parcels v0.9: prototyping a Lagrangian ocean analysis framework for the petascale age. Geosci. Model Dev. 10, 4175–4186 (2017)

    Article  Google Scholar 

  10. van Sebille, E., Griffies, S.M., Abernathey, R., et al.: Lagrangian ocean analysis: Fundamentals and practices. Ocean Model. 121, 49–75 (2018). (total 35 authors)

    Article  Google Scholar 

  11. Ibrayev, R.A., Khabeev, R.N., Ushakov, K.V.: Eddy-resolving 1/10° model of the world ocean. Izvestiya Atmos. Oceanic Phys. 48(1), 37–46 (2012)

    Article  Google Scholar 

  12. Kalmykov, V.V., Ibrayev, R.A.: A framework for the ocean-ice-atmosphere-land coupled modeling on massively-parallel architectures. Numer. Methods Program. 14(2), 88–95 (2013). (in Russian)

    Google Scholar 

  13. Kaurkin, M.N., Ibrayev, R.A., Belyaev, K.P.: Data assimilation ARGO data into the ocean dynamics model with high spatial resolution using Ensemble Optimal Interpolation (EnOI). Oceanology 56(6), 774–781 (2016)

    Article  Google Scholar 

  14. Koromyslov, A., Ibrayev, R., Kaurkin, M.: The technology of nesting a regional ocean model into a global one using a computational platform for massively parallel computers CMF. In: Voevodin, V., Sobolev, S. (eds.) Supercomputing. RuSCDays 2017. Communications in Computer and Information Science, vol. 793, pp. 241-250. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-71255-0_19

  15. Kalmykov, V.V., Ibrayev, R.A., Kaurkin, M.N., Ushakov, K.V.: Compact modeling framework v3.0 for high-resolution global ocean-ice-atmosphere models. Geosci. Model Dev. Discuss. https://doi.org/10.5194/gmd-2017-294

  16. Date, C.J.: Introduction to Database Systems (2003)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Numerical Mathematics RAS, Moscow, Russia

    Rashit Ibrayev & Maxim Kaurkin

  2. P.P. Shirshov Institute of Oceanology RAS, Moscow, Russia

    Rashit Ibrayev & Maxim Kaurkin

  3. Hydrometeorological Centre of Russia, Moscow, Russia

    Rashit Ibrayev & Maxim Kaurkin

  4. Bauman Moscow State Technical University, Moscow, Russia

    Vladimir Bibin

  5. Nuclear Safety Institute RAS, Moscow, Russia

    Vladimir Bibin

Authors
  1. Vladimir Bibin
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  2. Rashit Ibrayev
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  3. Maxim Kaurkin
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Correspondence to Vladimir Bibin .

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Editors and Affiliations

  1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. RCC, Moscow State University, Moscow, Russia

    Sergey Sobolev

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Bibin, V., Ibrayev, R., Kaurkin, M. (2019). The Algorithm for Transferring a Large Number of Radionuclide Particles in a Parallel Model of Ocean Hydrodynamics. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2018. Communications in Computer and Information Science, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-05807-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-05807-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05806-7

  • Online ISBN: 978-3-030-05807-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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