Rainfall Disaggregation Using Artificial Neural Networks

@inproceedings{Burian2000RainfallDU,
  title={Rainfall Disaggregation Using Artificial Neural Networks},
  author={Steven J. Burian and St{\'e}phanie Durrans and Sasa Tomic and Russell Pimmel and Chung Ngai Wai},
  year={2000}
}
A precipitation time series is often a necessary input for the analysis and design of hydrologic and hydraulic systems. The precipitation records employed for these purposes can be either measured observa- tions or generated by stochastic simulation. One common problem with recorded and generated precipitation data is that often it is not in small enough time increments for use in engineering applications (e.g., continuous hydrologic simulation). To solve this problem, rainfall amounts can be… CONTINUE READING

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