Abstract
This paper deals with numerical simulation of random fields corresponding to a stochastic structure of atmospheric clouds. We construct numerical models to simulate the optical thickness of stratus clouds as well as indicator fields of broken clouds. To simulate the random fields we use spectral and autoregressive models, as well as a method of nonlinear transformations of Gaussian functions.
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Acknowledgements
The authors would like to thank Prof. Boris A. Kargin (Institute of Computational Mathematics and Mathematical Geophysics SB RAS), Prof. Alexander L. Marshak (NASA Goddard Space Flight Center), and Prof. Gennadi A. Mikhailov (Institute of Computational Mathematics and Mathematical Geophysics SB RAS) for many fruitful discussions and collaboration. In addition, the authors are grateful to Dr. Michael Schaefer (Leipzig University) for provided data on atmospheric cloud fields.
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This work was supported by the Russian Foundation for Basis Research (16-01-00145, 18-01-00609, 18-01-00149).
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Ogorodnikov, V.A., Kablukova, E.G. & Prigarin, S.M. Stochastic models of atmospheric clouds structure. Stat Papers 59, 1521–1532 (2018). https://doi.org/10.1007/s00362-018-1036-7
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DOI: https://doi.org/10.1007/s00362-018-1036-7