Publication Abstracts

Alexandrov et al. 2022, in press

Alexandrov, M.D., A. Marshak, B. Cairns, and A.S. Ackerman, 2022: Markovian statistical model of cloud optical thickness. Part I: Theory and examples. J. Atmos. Sci., in press, doi:10.1175/JAS-D-22-0125.1.

We present a generalization of the binary-value Markovian model previously used for statistical characterization of cloud masks to a continuous-value model describing 1D fields of cloud optical thickness (COT). This model has simple functional expressions and is specified by four parameters: the cloud fraction, the autocorrelation (scale) length, and the two parameters of the normalized probability density function of (non-zero) COT values (this PDF is assumed to have gamma-distribution form). Cloud masks derived from this model by separation between the values above and below some threshold in COT appear to have the same statistical properties as in binary-value model described in our previous publications. We demonstrate the ability of our model to generate examples of various cloud-field types by using it to statistically imitate actual cloud observations made by the Research Scanning Polarimeter (RSP) during two field experiments.

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BibTeX Citation

@unpublished{al00800c,
  author={Alexandrov, M. D. and Marshak, A. and Cairns, B. and Ackerman, A. S.},
  title={Markovian statistical model of cloud optical thickness. Part I: Theory and examples},
  year={2022},
  journal={J. Atmos. Sci.},
  doi={10.1175/JAS-D-22-0125.1},
  note={Manuscript accepted for publication}
}

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RIS Citation

TY  - INPR
ID  - al00800c
AU  - Alexandrov, M. D.
AU  - Marshak, A.
AU  - Cairns, B.
AU  - Ackerman, A. S.
PY  - 2022
TI  - Markovian statistical model of cloud optical thickness. Part I: Theory and examples
JA  - J. Atmos. Sci.
DO  - 10.1175/JAS-D-22-0125.1
ER  -

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