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Disaggregation Procedures For Stochastic Hydrology Based On Nonparametric Density Estimation, David G. Tarboton, Ashish Sharma, Upmanu L. Lall
Disaggregation Procedures For Stochastic Hydrology Based On Nonparametric Density Estimation, David G. Tarboton, Ashish Sharma, Upmanu L. Lall
Civil and Environmental Engineering Faculty Publications
Synthetic simulation of streamflow sequences is important for the analysis of water supply reliability. Disaggregation models are an important component of the stochastic streamflow generation methodology. They provide the ability to simulate multiseason and multisite streamflow sequences that preserve statistical properties at multiple timescales or space scales. In recent papers we have suggested the use of nonparametric methods for streamflow simulation. These methods provide the capability to model time series dependence without a priori assumptions as to the probability distribution of streamflow. They remain faithful to the data and can approximate linear or nonlinear dependence. In this paper we extend …