In the Tibetan Plateau, due to lack of raw experimental data sets and proper data analysis method, investigationon atmosphere laser communication channel (ALCC), especially under rainy condition, is rarely concerned by researchers.Neural network group and optimal weight initialization technology (OWIT) are adopted in the analysis process. Firstly,construct neural network group according to different season’s condition. Secondly, utilize existed raw data sets ofALCC under rainy condition to choose matching initial weight sets with OWIT. Thirdly, train neural network group untilexpected requirement is met. Finally, load rain data sets from Tibetan Plateau (Lhasa for example) on trained neural networkgroup to achieve the ultimate channel quality of ALCC. Actual results show that spring rain has the best quality ofALCC, followed by winter rain, summer rain and autumn rain.
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