Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-853-2018
https://doi.org/10.5194/hess-22-853-2018
Research article
 | 
01 Feb 2018
Research article |  | 01 Feb 2018

Streamflow forecasts from WRF precipitation for flood early warning in mountain tropical areas

María Carolina Rogelis and Micha Werner

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Manuscript not accepted for further review
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Cited articles

Albert, J.: Bayesian Computation with R, 2nd Edn., Springer-Verlag, New York, 2009. a
Alfieri, L., Pappenberger, F., Wetterhall, F., Haiden, T., Richardson, D., and Salamon, P.: Evaluation of ensemble streamflow predictions in Europe, J. Hydrol., 517, 913–922, 2014. a
Arango, C. and Ruiz, J. F.: Implementación del modelo WRF para la sabana de Bogotá, Tech. rep., Instituto de Hidrología, Meteorología y Estudios Ambientales, Bogotá, available at: http://www.ideam.gov.co/documents/21021/21132/Modelo_WRF_Bogota.pdf/f1d34638-e9f8-4689-b5f4-31957c231c46 (last access: 20 November 2015), 2011. a, b, c
Bernal, G., Rosero, M., Cadena, M., Montealegre, J., and Sanabria, F.: Estudio de la Caracterización Climática de Bogotá y cuenca alta del Río Tunjuelo, Tech. rep., Instituto de Hidrología, Meteorología y Estudios Ambientales IDEAM – Fondo de Prevención y Atención de Emergencias FOPAE, Bogotá, 2007. a
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology/Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant, Hydrol. Sci. B., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979. a
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Short summary
Numerical weather prediction (NWP) models are fundamental for flood early warning, particularly in tropical mountainous watersheds. This paper aims to assess the potential of NWP for flood early warning purposes, and the possible improvement that the post-processing of forecasts can provide, in a tropical mountainous area. The results show the potential of NWP but also the need for more detailed evaluation of the meteorological model in the study area.
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