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This article focuses on rain as input data to problems related to urban storm
drainage. The rain data originate from a monitoring program consisting of 56
gauges in Denmark. The gauges have observat...
Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models
real-time flood forecasting precipitation prediction
2009/3/17
Time-series analysis techniques for improving the real-time flood forecasts issued by a deterministic lumped rainfall-runoff model are presented. Such techniques are applied for forecasting the short-...
A non-parametric hidden Markov model for climate state identification
Hidden Markov models non-parametric two-state model
2009/3/12
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assump...