Publication Abstracts
Alexandrov et al. 2004
, A. Marshak, , , and , 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
@article{al05200y, 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}, year={2004}, journal={Geophysical Research Letters}, volume={31}, pages={L04118}, doi={10.1029/2003GL019105}, }
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RIS Citation
TY - JOUR 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. JO - Geophysical Research Letters VL - 31 SP - L04118 DO - 10.1029/2003GL019105 ER -
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