Abstract
The paper describes numerical environment for forecasting the results of cloud seeding. Cloud seeding is a form of weather modification intended to change the amount or type of precipitation or to suppress fog and hail appearance. The effect of such a modification is crucially depended on the moment of seeding and the stage of evolution of the cloud under modification. Precise determination of these parameters and forecasting of the results of cloud seeding is impossible without using of numerical models of convective clouds. The results of simulations often need to be validated by simultaneous usage of several models of different dimension with a different degree of detail in the description of the microphysical processes. All the models should be involved into distributed computational environment, intended for integration of meteorological data about the state of the atmosphere, realization of the numerical calculations, visualization and comparison of the model output results. In this paper we describe the Virtual Cloud environment for modeling the results of cloud seeding on distributed computational resources. We present the concepts and the design of the Virtual Cloud and describe the prototype implementation.
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Acknowledgment
The paper was prepared in SPbETU and is supported by the Contract No. 02.G25.31.0149 dated 01.12.2015 (Board of Education of Russia).
The authors wish to thank the anonymous referees for their useful remarks and comments.
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Stankova, E.N., Korkhov, V.V., Kulabukhova, N.V., Vasilenko, A.Y., Holod, I.I. (2016). Computational Environment for Numerical Modeling of the Results of Cloud Seeding. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_35
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