In the past few years, experts focused on acquiring an expanded explanation of the climate effects on the terahertz band. Research on the impact of weather problems around the propagation associated with the terahertz transmission was mainly restricted to average elevations in urban conditions. However, it is necessary to raise the question of the practical use and proposal of blocking models in the conditions of aircraft and the occurrence of a cloudy atmosphere. It was hypothesized that the data transmission power in the terahertz range for aircraft heights will be catastrophically low, even without taking into account atmospheric clouds, which will create additional conditions for the complete blocking of the signal. To search and study articles, we used knowledge bases such as Scopus and Web of Science, as well as other sources that are not in the databases, like old literature, using selected search criteria. Drawing an analogy on the basis of already existing theoretical studies on the topic and synthesizing them with existing meteorological and signal scattering data, we derived a general model of signal reception power in a cloudy atmosphere by induction. For comparison and confirmation of model reliability, visualization software was used with the calculation of particular values for certain characteristics. Based on the articles of other authors, we were able to conceptualize the results of their studies on the attenuation of the terahertz signal depending on various atmospheric conditions, calculating the final signal reception powers at high altitudes. At the same time, the problem of the analytical implementation of the blocking model when passing through the cloud layer was identified, based on the insufficiency of the necessary research data. The results obtained can be used for practical analysis of data transmission to high altitudes in real conditions, for the formation of more efficient systems for transmitting and receiving signals in the terahertz frequency range. In addition, the identified model can be optimized with additional studies of the cloud structure and calculation of blocking probabilities under conditions of a cloudy atmosphere.