Articles | Volume 374
https://doi.org/10.5194/piahs-374-143-2016
https://doi.org/10.5194/piahs-374-143-2016
17 Oct 2016
 | 17 Oct 2016

A snow and ice melt seasonal prediction modelling system for Alpine reservoirs

Kristian Förster, Felix Oesterle, Florian Hanzer, Johannes Schöber, Matthias Huttenlau, and Ulrich Strasser

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Cited articles

Achleitner, S., Schöber, J., Rinderer, M., Leonhardt, G., Schöberl, F., Kirnbauer, R., and Schönlaub, H.: Analyzing the operational performance of the hydrological models in an alpine flood forecasting system, J. Hydrol., 412–413, 90–100, https://doi.org/10.1016/j.jhydrol.2011.07.047, 2012.
Doblas-Reyes, F. J., García-Serrano, J., Lienert, F., Biescas, A. P., and Rodrigues, L. R. L.: Seasonal climate predictability and forecasting: Status and prospects, WIREs Clim Change, 4, 245–268, https://doi.org/10.1002/wcc.217, 2013.
Fischer, A., Seiser, B., Stocker Waldhuber, M., Mitterer, C., and Abermann, J.: Tracing glacier changes in Austria from the Little Ice Age to the present using a lidar-based high-resolution glacier inventory in Austria, The Cryosphere, 9, 753–766, https://doi.org/10.5194/tc-9-753-2015, 2015.
Hock, R.: A distributed temperature-index ice- and snowmelt model including potential direct solar radiation, J. Glaciol., 45, 101–111, 1999.
Huttenlau, M., Bellinger, J., Schattan, P., Förster, K., Oesterle, F., Schneider, K., Achleitner, S., Schöber, J., Raffeiner, G., and Kirnbauer, R.: Flood forecasting system for the Tyrolean Inn River (Austria): current state and further enhancements of a modular forecasting system for alpine catchments, in: Living with natural risks, 13th Congress INTERPRAEVENT 2016, Lucerne, 909–916, International Research Society INTERPRAEVENT, Klagenfurt, Austria, 2016.
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Short summary
We present first results of a coupled seasonal prediction modelling system that runs at monthly time steps for a small catchment in the Austrian Alps. Meteorological forecasts are obtained from the CFSv2 model which are downscaled to the Alpine Water balance And Runoff Estimation model AWARE. Initial conditions are obtained using the physically based, hydro-climatological snow model AMUNDSEN. In this way, ensemble simulations of the coupled model are compared to observations.