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Dynamic–Stochastic Parametrization of Cloudiness in the General Circulation Model of the Atmosphere

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Abstract

The method of Dynamic–Stochastic parametrization of the nonconvective cloud amount in the general circulation model of the atmosphere is formulated. The proposed algorithm is evaluated on the basis of the general circulation model of the atmosphere with the specified temperature of the ocean surfaces. The results of calculations are compared to the satellite observation data and to the results of calculations of the cloud amounts performed using a coupled high-resolution atmosphere–ocean general circulation model. This approach looks highly promising in the results.

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ACKNOWLEDGMENTS

We are grateful to A.V. Glazunov for useful comments and E.M Volodin for providing the results of calculating the cloud amount in the climate model of the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, within the framework of the CMIP5 project, and the observation data from the CALIPSO satellite project.

Funding

This work was performed at the Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, with support from the Russian Science Foundation, grant 17-17-01305.

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Authors and Affiliations

  1. Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Moscow, Russia

    V. Ya. Galin & V. P. Dymnikov

Authors
  1. V. Ya. Galin
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  2. V. P. Dymnikov
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Correspondence to V. Ya. Galin or V. P. Dymnikov.

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Translated by L. Mukhortova

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Galin, V.Y., Dymnikov, V.P. Dynamic–Stochastic Parametrization of Cloudiness in the General Circulation Model of the Atmosphere. Izv. Atmos. Ocean. Phys. 55, 381–385 (2019). https://doi.org/10.1134/S0001433819050062

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