Some observations on the spatial and temporal scaling properties of rain

System simulation is of current interest in the study of adaptive fade mitigation techniques. There is considerable activity in the development of attenuation time-series generators that are capable of reproducing typical fade events. One approach is to use measured or modeled data from weather radars or numerical weather prediction models. One of the limiting factors of such approaches is the limited spatial and temporal resolution on which the data is available. For example, in order to simulate a particular fade mitigation technique there may be a requirement for Is attenuation time-series. It is not at all clear that a representative Is time-series can be derived from a series of 5-minute interval data. This paper considers the evidence for fractal scaling in rainfall. The paper continues with an explanation of a procedure to exploit this fractal scaling in order to create a realistic stochastic small-scale structure.