Abstract
Flood forecasting models typically provide estimates of future levels and flows. These outputs can help with providing earlier warnings of the likelihood of flooding than is possible from observations alone, and with interpreting complex situations. The main types include data-driven, conceptual and physically-based rainfall-runoff models and hydrological and hydrodynamic flow routing components. Data assimilation techniques are also widely used, and forecasts are increasingly based on a probabilistic or ensemble approach. This chapter describes the background to these techniques and to some of the considerations in using flood forecasts operationally, such as the decision-making process when interpreting outputs, forecast verification techniques, and the role of forecasting systems.
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Sene, K. (2013). Flood Forecasting. In: Flash Floods. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5164-4_5
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DOI: https://doi.org/10.1007/978-94-007-5164-4_5
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