Abstract
We present the results of studying the spatial and temporal correlation of the maximum observable frequency on two midlatitude paths, Inskip (England)-Rostov-on-Don and Cyprus-Rostov-on-Don. Dynamics of variation in the maximum observable frequency on these paths as a function of the time of the day and geophysical conditions is explored. The presence of a high spatial correlation (up to 93.5%) between the studied maximum observable frequencies allowed the values of the maximum observable frequency on the Cyprus-Rostov-on-Don path to be retrieved from the data on the Inskip-Rostov-on-Don path by the method of artificial neural networks with a training efficiency of up to 97%.
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