New super-kurtic probability density function for use in computer simulation

Abstract

The philosophy of computer simulation and its application to hydrological processes is described in this paper. The structure of natural hydrologic time processes is indicated and the techniques to filter out white noise is explained. The limitations of the well-known probability density functions (PDF) such as the Gaussian, Pearson's and Johnson's etc. in hydrologic applications are set forth. A new super-kurtic PDF developed by the author specially for hydrological processes is introduced and a numerical example is given.