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Probability Distribution for the Visually Observed Fractional Cloud Cover over the Ocean
Author(s) -
Marina Aleksandrova,
Sergey Gulev,
Konstantin Belyaev
Publication year - 2018
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.315
H-Index - 287
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/jcli-d-17-0317.1
Subject(s) - cloud cover , probability distribution , cloud computing , meteorology , environmental science , cloud fraction , probability density function , distribution (mathematics) , cover (algebra) , statistics , mathematics , computer science , geography , mechanical engineering , mathematical analysis , engineering , operating system
The authors suggest a three-parameter bounded distribution from the family of mixed gamma distributions for characterizing the probability density distributions of fractional total and low cloud cover over the global oceans. The authors derive both the continuous form of this distribution and its discrete counterpart, which can be directly applied to cloud cover reports. The distribution is applied to the cloud cover characteristics reported by voluntary observing ships (VOS) for the period from 1950 to 2011 after filtering nighttime observations with poor lunar illumination. The suggested distribution demonstrates a high goodness of fit to the data and good skill in capturing probability distributions with different shapes. The authors present seasonal climatologies of the parameters of the derived distribution for the chosen 60-yr period and demonstrate that applying the PDF-based concept to the analysis of cloud cover allows identification of areas where similar mean cloud amounts can be produc...

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