| 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 |
| Ensemble flood forecasting considering dominant runoff processes – part 1: set-up and application to nested basins (Emme, Switzerland)
Antonetti, M., Horat, C., Sideris, I. V., & Zappa, M. (2019). Ensemble flood forecasting considering dominant runoff processes – part 1: set-up and application to nested basins (Emme, Switzerland). Natural Hazards and Earth System Sciences, 19(1), 19-40. https://doi.org/10.5194/nhess-19-19-2019 |
| 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 |
| Extremeness of recent drought events in Switzerland: dependence on variable and return period choice
Brunner, M. I., Liechti, K., & Zappa, M. (2019). Extremeness of recent drought events in Switzerland: dependence on variable and return period choice. Natural Hazards and Earth System Sciences, 19(10), 2311-2323. https://doi.org/10.5194/nhess-19-2311-2019 |
| Future shifts in extreme flow regimes in Alpine regions
Brunner, M. I., Farinotti, D., Zekollari, H., Huss, M., & Zappa, M. (2019). Future shifts in extreme flow regimes in Alpine regions. Hydrology and Earth System Sciences, 23, 4471-4489. https://doi.org/10.5194/hess-23-4471-2019 |
| Future trends in the interdependence between flood peaks and volumes: hydro‐climatological drivers and uncertainty
Brunner, M. I., Hingray, B., Zappa, M., & Favre, A. ‐C. (2019). Future trends in the interdependence between flood peaks and volumes: hydro‐climatological drivers and uncertainty. Water Resources Research, 55(6), 4745-4759. https://doi.org/10.1029/2019WR024701 |
| Kontinuierliche Wirkungsabschätzung von verschiedenen Hochwasserschutzmaßnahmen über das gesamte Abfluss-Spektrum am Beispiel der Sihl. Continuous estimation of the impact of various flood mitigation measures across the entire discharge range using the ex
Kleinn, J., Aller, D., Zappa, M., Andres, N., Bresch, D. N., Marti, C., & Oplatka, M. (2019). Kontinuierliche Wirkungsabschätzung von verschiedenen Hochwasserschutzmaßnahmen über das gesamte Abfluss-Spektrum am Beispiel der Sihl. Continuous estimation of the impact of various flood mitigation measures across the entire discharge range using the example of the Sihl river. Hydrologie und Wasserbewirtschaftung, 63(3), 158-167. https://doi.org/10.5675/HyWa_2019.3_3 |
| Hydrological ensemble prediction systems around the globe
Liechti, K., & Zappa, M. (2019). Hydrological ensemble prediction systems around the globe. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 953-975). https://doi.org/10.1007/978-3-642-39925-1_5 |
| Wasserhaushalt der Schweiz im Jahr 2018. Einordnung und Besonderheiten
Liechti, K., Barben, M., & Zappa, M. (2019). Wasserhaushalt der Schweiz im Jahr 2018. Einordnung und Besonderheiten. Wasser, Energie, Luft, 111(2), 93-94. |
| Subjective modeling decisions can significantly impact the simulation of flood and drought events
Melsen, L. A., Teuling, A. J., Torfs, P. J. J. F., Zappa, M., Mizukami, N., Mendoza, P. A., … Uijlenhoet, R. (2019). Subjective modeling decisions can significantly impact the simulation of flood and drought events. Journal of Hydrology, 568, 1093-1104. https://doi.org/10.1016/j.jhydrol.2018.11.046 |
| 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 |
| Hydrological ensemble prediction systems around the globe
Pappenberger, F., Pagano, T. C., Brown, J. D., Alfieri, L., Lavers, D. A., Berthet, L., … Thielen-del Pozo, J. (2019). Hydrological ensemble prediction systems around the globe. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 1187-1221). https://doi.org/10.1007/978-3-642-39925-1_47 |
| An optimized snowmelt lysimeter system for monitoring melt rates and collecting samples for stable water isotope analysis
Rücker, A., Zappa, M., Boss, S., & von Freyberg, J. (2019). An optimized snowmelt lysimeter system for monitoring melt rates and collecting samples for stable water isotope analysis. Journal of Hydrology and Hydromechanics, 67, 20-31. https://doi.org/10.2478/johh-2018-0007 |
| Introduction to ensemble forecast applications and showcases
Zappa, M., van Andel, S. J., & Cloke, H. L. (2019). Introduction to ensemble forecast applications and showcases. In Q. Duan, F. Pappenberger, A. Wood, H. L. Cloke, & J. C. Schaake (Eds.), Handbook of hydrometeorological ensemble forecasting (pp. 1181-1185). https://doi.org/10.1007/978-3-642-39925-1_45 |
| Thematic issue on snow resources and hydrological cycle
Zappa, M., Holko, L., Šanda, M., Vitvar, T., & Parajka, J. (2019). Thematic issue on snow resources and hydrological cycle. Journal of Hydrology and Hydromechanics, 67(1), 1-3. https://doi.org/10.2478/johh-2018-0027 |
| Trockenheit in der Schweiz: Vergleich der Jahre 2003, 2015 und 2018
Zappa, M., Liechti, K., Winstral, A. H., & Barben, M. (2019). Trockenheit in der Schweiz: Vergleich der Jahre 2003, 2015 und 2018. Wasser, Energie, Luft, 111(2), 95-100. |