The invention relates to a rainfall
observation method and device, a computer
system and a medium, and solves the problem of high-reliability observation of regional rainfall. The method comprises the following steps: firstly, adopting reanalysis data and earth
system mode output data to construct a first
deep learning model of
satellite inversion rainfall so as to reconstruct a lattice long-series rainfall
data set; then, taking the rainfall attenuation information of the historical period as input, obtaining a
rainfall simulation series of the corresponding historical period through different rainfall attenuation and rainfall intensity models, determining regional rainfall under the different rainfall attenuation and rainfall intensity models through a weighted link method, and preferably selecting an optimal rainfall attenuation and rainfall intensity model through long-series lattice rainfall data of the historical period; furthermore, a second
deep learning model is constructed by adopting
satellite inversion data and rainfall data inverted by a rainfall attenuation and rainfall intensity model, real-time correction of regional
precipitation is realized, finally, real-time rainfall information of the region is deduced by adopting the optimal rainfall attenuation and rainfall intensity model and taking a real-time mobile
signal as input, and the regional average
precipitation corrected in real time is obtained.