Simulating a non-Gaussian vector process with application in hydrology
2014
Frolov, A. V. | Vyruchalkina, T. Yu | Solomonova, I. V.
An algorithm is proposed for simulating a hydrological random process for the case of a vector, whose components are runoff values for the Khoper R. in three high-water months and the Volga R. in February, April, and the average over April, May, and June. The simulation is shown to have a high accuracy: the expectations and the coefficients of variation exactly coincide with specified values; the skewness has an accuracy of 0.1; the deviation of the coefficients of autocorrelation and cross-correlation of vector components from the specified values never exceeds 0.05.
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