HESS Opinions 'Forecaster priorities for improving probabilistic flood forecasts'

Autor: Watterhall, F., Pappenberger, F., Alfieri, L., Cloke, H.L., Thielen-del Pozo, J., Balabanova, S., Danhelka, J., Vogelbacher, A., Salamon, P., Carrasco, I., Cabrera-Tordera, A.J., Corzo-Toscano, M., Garcia-Padilla, M., Garcia-Sanchez, R.J., Ardilouze, C., Jurela, S., Terek, B., Csik, A., Casey, J., Stankūnavičius, Gintautas, Ceres, V., Sprokkereef, E., Stam, J., Anghel, E., Vladikovic, D., Alionte Eklund, C., Hjerdt, N., Djerv, H., Holmberg, F., Nilsson, J., Nyström, K., Sušnik, M., Hazlinger, M., Holubecka, M.

Publikováno v: Hydrology and Earth System Sciences, Goettingen : Copernicus GmbH, 2013, Vol. 17, Iss. 11, p. 4389-4399
Hydrology and Earth System Sciences, Vol 17, Iss 11, Pp 4389-4399 (2013)

Hydrological ensemble prediction systems (HEPS) have in recent years been increasingly used for the operational forecasting of floods by European hydrometeorological agencies. The most obvious advantage of HEPS is that more of the uncertainty in the

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https://repository.vu.lt/VU:ELABAPDB15551114&prefLang=en_US

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