REAL-TIME ESTIMATION OF VELOCITY AND COVARIANCE STRUCTURE OF RAINFALL EVENTS USING TELEMETERED RAINGAGE DATA - COMPARISON OF METHODS

Short-term rainfall prediction in time and space requires parameter estimation in real time. This paper discusses several methods of using telemetric raingage data to estimate the non-stationary mean and variance of a rainfall event. Similarly, real-time estimation of residual covariance structure and storm velocity is discussed. The performance of the suggested techniques are illustrated with examples. The parameter estimation corresponds to a forecasting model developed by Johnson and Bras. The goal of this article is to inform other researchers of the advantages and disadvantages of different methodologies for real-time estimation of rainfall statistical characteristics. © 1979.