Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level. (January 2016)

• Record Type: Journal Article
• Authors: Kauffeldt, A.; Wetterhall, F.; Pappenberger, F.; Salamon, P.; Thielen, J.
• Is Part Of: Environmental modelling & software. Volume 75(2016:Jan.)
• Page Start: 68
• Page End: 76
• Publication Date: 2016-01
• Subjects: Large-scale -- Hydrological modelling -- Operational flood forecasting -- Ensemble prediction; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2015.09.009
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Uncertainty in operational hydrological forecast systems forced with numerical weather predictions is often assessed by quantifying the uncertainty from the inputs only. However, part of the uncertainty in modelled discharge stems from the hydrological model. A multi-model system can account for some of this uncertainty, but there exists a plethora of hydrological models and it is not trivial to select those that fit specific needs and collectively capture a representative spread of model uncertainty. This paper provides a technical review of 24 large-scale models to provide guidance for model selection. Suitability for the European Flood Awareness System (EFAS), as example of an operational continental flood forecasting system, is discussed based on process descriptions, flexibility in resolution, input data requirements, availability of code and more. The model choice is in the end subjective, but this review intends to objectively assist in selecting the most appropriate model for the intended purpose. Highlights: We present a technical review of 24 large-scale hydrological models. We assess suitability for continental setup, but setup for smaller area possible. The best model choice is often subjective, but criteria tables aid comparisons.