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The Simplex and the Shuffled Complex Evolution--University of Arizona (SCE-UA) optimization algorithms and the simple least-squares (SLS) and the heteroscedastic maximum likelihood estimator (HMLE) were applied to identify erosion parameters for a process-based model of catchment runoff and sediment yield. Four parameter identification problems were posed with the objective of studying the behaviour...
The development of distributed modelling technology has been hampered by incomplete understanding of spatially-variable processes and the lack of adequate data to characterize spatially varying inputs and state variables. This seems to be particularly true with respect to rainfall fields. This paper examines the effect of uncertainty in spatial estimates of rainfall on predictions of runoff volume,...
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