Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 11 2 2007 10.5194/hess-11-721-2007 http://www.hydrol-earth-syst-sci.net/11/721/2007/ http://www.hydrol-earth-syst-sci.net/11/721/2007/hess-11-721-2007.html http://www.hydrol-earth-syst-sci.net/11/721/2007/hess-11-721-2007.pdf 721 724 2007-01-17 Modeling geophysical complexity: a case for geometric determinism C. E. Puente cepuente@ucdavis.edu B. Sivakumar Department of Land, Air & Water Resources, University of California, Davis, USA Griffith School of Engineering, Griffith University, Nathan, QLD 4111, Australia It has been customary in the last few decades to employ stochastic models to represent complex data sets encountered in geophysics, particularly in hydrology. This article reviews a deterministic geometric procedure to data modeling, one that represents whole data sets as derived distributions of simple multifractal measures via fractal functions. 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