Abstract
Flood forecasting models are a key component in many flood warning systems. Some typical forecasting techniques include rainfall-runoff, flow routing and hydrodynamic models and simpler empirical approaches such as level-to-level correlations. Models are usually operated within a forecasting system which gathers data, schedules model runs and post-processes model outputs into forecast products. Data assimilation and probabilistic techniques are also widely used to help to improve the accuracy of forecasts and estimate the uncertainty in outputs. This chapter provides an introduction to these topics and to approaches to forecasting snowmelt in colder regions and water levels in estuaries.
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Sene, K. (2016). River Flooding. In: Hydrometeorology. Springer, Cham. https://doi.org/10.1007/978-3-319-23546-2_8
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