Streamflow simulation: A nonparametric approach

@article{Sharma1997StreamflowSA,
  title={Streamflow simulation: A nonparametric approach},
  author={A. Sharma and D. Tarboton and Upmanu Lall},
  journal={Water Resources Research},
  year={1997},
  volume={33},
  pages={291-308}
}
  • A. Sharma, D. Tarboton, Upmanu Lall
  • Published 1997
  • Mathematics
  • Water Resources Research
  • In this paper kernel estimates of the joint and conditional probability density functions are used to generate synthetic streamflow sequences. Streamflow is assumed to be a Markov process with time dependence characterized by a multivariate probability density function. Kernel methods are used to estimate this multivariate density function. Simulation proceeds by sequentially resampling from the conditional density function derived from the kernel estimate of the underlying multivariate… CONTINUE READING
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