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Tercile forecasts for extending the horizon of skillful hydrological predictions
Bogner, K., Chang, A. Y. Y., Bernhard, L., Zappa, M., Monhart, S., & Spirig, C. (2022). Tercile forecasts for extending the horizon of skillful hydrological predictions. Journal of Hydrometeorology, 23(4), 521-539. https://doi.org/10.1175/JHM-D-21-0020.1
Vorhersage und Warnung von Unwettern in der Schweiz. Das Zusammenwirken von Bund und Kantonen anhand von zwei Fallbeispielen im Jahr 2020
Steeb, N., Badoux, A., Bialek, R., Bogner, K., Hug Peter, D., Kellner, E., … Stähli, M. (2022). Vorhersage und Warnung von Unwettern in der Schweiz. Das Zusammenwirken von Bund und Kantonen anhand von zwei Fallbeispielen im Jahr 2020. Wasser, Energie, Luft, 114(2), 98-104.
On the implementation of post-processing of runoff forecast ensembles
Skøien, J. O., Bogner, K., Salamon, P., & Wetterhall, F. (2021). On the implementation of post-processing of runoff forecast ensembles. Journal of Hydrometeorology, 22(10), 2731-2749. https://doi.org/10.1175/JHM-D-21-0008.1
The value of subseasonal hydrometeorological forecasts to hydropower operations: how much does preprocessing matter?
Anghileri, D., Monhart, S., Zhou, C., Bogner, K., Castelletti, A., Burlando, P., & Zappa, M. (2019). The value of subseasonal hydrometeorological forecasts to hydropower operations: how much does preprocessing matter? Water Resources Research, 55(12), 10159-10178. https://doi.org/10.1029/2019WR025280
Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts
Bogner, K., Pappenberger, F., & Zappa, M. (2019). Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts. Sustainability, 11(12), 3328 (22 pp.). https://doi.org/10.3390/su11123328
Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach
Monhart, S., Zappa, M., Spirig, C., Schär, C., & Bogner, K. (2019). Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach. Hydrology and Earth System Sciences, 23(1), 493-513. https://doi.org/10.5194/hess-23-493-2019
Error correcting and combining multi-model flood forecasting systems
Bogner, K., Liechti, K., & Zappa, M. (2018). Error correcting and combining multi-model flood forecasting systems. In P. Gourbesville, J. Cunge, & G. Caignaert (Eds.), Springer Water. Advances in hydroinformatics. SimHydro 2017 - choosing the right model in applied hydraulics (pp. 569-578). https://doi.org/10.1007/978-981-10-7218-5_40
Skill of hydrological extended range forecasts for water resources management in Switzerland
Bogner, K., Liechti, K., Bernhard, L., Monhart, S., & Zappa, M. (2018). Skill of hydrological extended range forecasts for water resources management in Switzerland. Water Resources Management, 32(3), 969-984. https://doi.org/10.1007/s11269-017-1849-5
Skill of subseasonal forecasts in Europe: effect of bias correction and downscaling using surface observations
Monhart, S., Spirig, C., Bhend, J., Bogner, K., Schär, C., & Liniger, M. A. (2018). Skill of subseasonal forecasts in Europe: effect of bias correction and downscaling using surface observations. Journal of Geophysical Research D: Atmospheres, 123(15), 7999-8016. https://doi.org/10.1029/2017JD027923
Technical note: combining quantile forecasts and predictive distributions of streamflows
Bogner, K., Liechti, K., & Zappa, M. (2017). Technical note: combining quantile forecasts and predictive distributions of streamflows. Hydrology and Earth System Sciences, 21(11), 5493-5502. https://doi.org/10.5194/hess-21-5493-2017
Post-Processing of stream flows in Switzerland with an emphasis on low flows and floods
Bogner, K., Liechti, K., & Zappa, M. (2016). Post-Processing of stream flows in Switzerland with an emphasis on low flows and floods. Water, 8(4), 115 (20 pp.). https://doi.org/10.3390/w8040115
Regionalization of post-processed ensemble runoff forecasts
Skøien, J. O., Bogner, K., Salamon, P., Smith, P., & Pappenberger, F. (2016). Regionalization of post-processed ensemble runoff forecasts. A. H. Schumann, G. Bloschl, A. Castellarin, J. Dietrich, S. Grimaldi, U. Haberlandt, … S. Vorogushyn (Eds.), Proceedings of the international association of hydrological sciences (IAHS): Vol. 373. (pp. 109-114). Presented at the 7th international water resources management conference of ICWRS. https://doi.org/10.5194/piahs-373-109-2016
Building a multimodel flood prediction system with the TIGGE archive
Zsótér, E., Pappenberger, F., Smith, P., Emerton, R. E., Dutra, E., Wetterhall, F., … Balsamo, G. (2016). Building a multimodel flood prediction system with the TIGGE archive. Journal of Hydrometeorology, 17(8), 2923-2940. https://doi.org/10.1175/JHM-D-15-0130.1
Trends in the predictive performance of raw ensemble weather forecasts
Hemri, S., Scheuerer, M., Pappenberger, F., Bogner, K., & Haiden, T. (2014). Trends in the predictive performance of raw ensemble weather forecasts. Geophysical Research Letters, 41(24), 9197-9205. https://doi.org/10.1002/2014GL062472