IAMG 2001--Cancún Technical Program--Session D

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On the Space-Time Variogram Models--An Application to Seasonal Precipitation by Ali M. Subyani, King Abdulaziz University, Saudi Arabia In general, variogram is the key function in geostatistics and its determination is the basic step in spatial prediction and stochastic simulation of the natural phenomena. Therefore, the reliability of geostatistical application depends on the degree of variogram accuracy. So far, much of the cases use spatial versions of variograms. In addition, most of the natural phenomena measurements behave simultaneously in space and time processes. However, a new space-time variogram approach will be discussed herein by considering two methods. The first method combines variograms at every tow successive season, which should have the same continuity structure, and tests whether there is a real significant cross-correlation between every successive time steps using historical data. The second method is a graphical one which uses a distance-time-variogram graph. In this paper, the application of these two methods is shown for the seasonal precipitation data in the southwest of Saudi Arabia. Paper in PDF format Subyani, Acrobat PDF, 321k.