The Tropospheric Scintillation Prediction based on measured data for earth-to-satellite link for Bangladeshi climatic condition
Md. Sakir Hossain, Md Abdus Samad

TL;DR
This study predicts tropospheric scintillation effects on earth-to-satellite links in Bangladesh using measured climatic data and the ITU model, revealing regional differences and seasonal variations, especially during the rainy season.
Contribution
It applies the ITU scintillation model to Bangladeshi climatic data for the first time, providing regional and seasonal scintillation predictions for Bangladesh.
Findings
Rajshahi is most affected by scintillation fade depth.
SFD varies from 3 dB to 13 dB depending on frequency.
Scintillation doubles during the rainy season.
Abstract
The performance of earth-to-satellite link largely depends on various environmental factors like rain, fog, cloud, and atmospheric effects like ionospheric and tropospheric scintillation. In this paper, the tropospheric scintillation of Bangladesh, a subtropical country, is predicted based on measured climatic parameters, like relative humidity, temperature. In this prediction, ITU scintillation model are used. Four major cities, named Dhaka, Chittagong, Rajshahi and Sylhet, of Bangladesh are selected for prediction of scintillation. From the simulation result, Rajshahi is found to be the most badly affected region by the scintillation fade depth (SFD), which is followed by Chittagong and the SFD is minimum in Dhaka and Sylhet. The difference in SFDs among the considered cities does not vary heavily. It is also found that the SFD varies from 3 dB to 13 dB depending on the frequency in…
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