Dynamic Neural Networks for Nonstationary Hydrological Time Series Modeling

Evidence of nonstationary trends in hydrological time series, which result from natural and/or anthropogenic climatic variability and change, has raised a number of questions as to the adequacy of conventional statistical methods for long-term (seasonal to annual) hydrologic time series forecasting. Most conventional statistical methods that are used in hydrology will suffer from severe limitations as they assume a stationary time series. …