Abstract
In the field of meteorology, weather forecasting requires meteorological radar echo data as support. However, the lack of radar data due to malfunctions or lack of radar deployment has greatly affected the stability of weather forecasting. In order to solve this problem, this paper proposes a meteorological radar echo data reconstruction technology based on satellite data realized by deep learning neural network technology, so as to supplement the missing meteorological radar echo data. In order to realize this technology, we constructed a new dataset, designed a neural network structure suitable for it, and obtained a model with great effect after training. After the final test, it is found that this model can reconstruct radar data well and has practical value.
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