Worst month prediction model for transhorizon microwave interference

A model is developed to calculate the (average) worst month clear-air microwave interference statistics for land, sea and mixed land/sea paths. The model predicts the parameter Q, which relates the worst month statistics to the average annual statistics, derived either by measurements or by prediction. By providing a reliable means of computing worst month statistics, the model addresses a major deficiency in the existing CCIR interference prediction procedures. The validity of the model is established by comparison with measured data from 1.3 GHz transhorizon propagation experiments in northwest Europe.