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Statistical modeling demonstrates log-normal distributions best describe monthly cloud attenuation in satellite optical links, indicating more accurate link budget forecasting.
This letter addresses the attenuation statistics due to the clouds on satellite-based free-space optical communications. Specifically, we present a novel distribution model of monthly cloud attenuation for several regions in Japan. To this purpose, a five-year reanalysis meteorological database, namely, ERA-Interim, produced from the European Center for Medium-Range Weather Forecast (ECMWF), is investigated. The cloud liquid water content (CLWC) obtained from the ECMWF ERA-interim database is used to determine the cloud attenuation. The curve-fitting method is performed to derive the probability density function (PDF) of cloud attenuation. The results show that the log-normal distribution best models the PDF of monthly cloud attenuation.
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Le et al. (2021) studied this question.
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