A lumped sequential river flow forecasting model is outlined. It is shown to be flexible in both temporal and spatial scales, thereby allowing simulations to be undertaken for a wide range of practical purposes. In addition, the required data input is very low, and is restricted to topographic data for only small segments of the entire catchment. The model is successfully applied to the River Avon in England and the River Kako in Japan.
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Research Article| June 01 1983
Development and Application of a Storage Model for River Flow Forecasting
Takeshi Hata, Malcolm G. Anderson; Development and Application of a Storage Model for River Flow Forecasting. Hydrology Research 1 June 1983; 14 (3): 139–154. doi: https://doi.org/10.2166/nh.1983.0012
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