Publication Abstracts

Alexandrov et al. 2004

Alexandrov, M.D., A. Marshak, B. Cairns, A.A. Lacis, and B.E. Carlson, 2004: Automated cloud screening algorithm for MFRSR data. Geophys. Res. Lett., 31, L04118, doi:10.1029/2003GL019105.

A new automated cloud screening algorithm for ground-based sun-photometric measurements is described and illustrated on examples of real (MFRSR) and simulated data. The algorithm uses single channel direct beam measurements and is based on variability analysis of retrieved optical thickness. To quantify this variability the inhomogeneity parameter ε is used. This parameter is commonly used for cloud remote sensing and modeling, but not for cloud screening. In addition to this an adjustable enveloping technique is applied to control strictness of the selection method. The key advantages of this technique are its objectivity, computational efficiency and the ability to detect short clear-sky intervals under broken cloud cover conditions. Moreover, it does not require any knowledge of the instrument calibration. The performance of the method has been compared with that of AERONET cloud screening algorithm.

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BibTeX Citation

  author={Alexandrov, M. D. and Marshak, A. and Cairns, B. and Lacis, A. A. and Carlson, B. E.},
  title={Automated cloud screening algorithm for MFRSR data},
  journal={Geophys. Res. Lett.},

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RIS Citation

ID  - al05200y
AU  - Alexandrov, M. D.
AU  - Marshak, A.
AU  - Cairns, B.
AU  - Lacis, A. A.
AU  - Carlson, B. E.
PY  - 2004
TI  - Automated cloud screening algorithm for MFRSR data
JA  - Geophys. Res. Lett.
VL  - 31
SP  - L04118
DO  - 10.1029/2003GL019105
ER  -

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