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Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment
Dal Molin, M., Schirmer, M., Zappa, M., & Fenicia, F. (2020). Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment. Hydrology and Earth System Sciences, 24(3), 1319-1345. https://doi.org/10.5194/hess-24-1319-2020
Estimating ensemble flood forecasts' uncertainty: a novel "peak-box" approach for detecting multiple peak-flow events
Giordani, A., Zappa, M., & Rotach, M. W. (2020). Estimating ensemble flood forecasts' uncertainty: a novel "peak-box" approach for detecting multiple peak-flow events. Atmosphere, 11(1), 2 (17 pp.). https://doi.org/10.3390/atmos11010002
FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics
Speich, M. J. R., Zappa, M., Scherstjanoi, M., & Lischke, H. (2020). FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics. Geoscientific Model Development, 13(2), 537-564. https://doi.org/10.5194/gmd-13-537-2020
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 Science, 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 Science, 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
Present and future water scarcity in Switzerland: potential for alleviation through reservoirs and lakes
Brunner, M. I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti, D., & Stähli, M. (2019). Present and future water scarcity in Switzerland: potential for alleviation through reservoirs and lakes. Science of the Total Environment, 666, 1033-1047. https://doi.org/10.1016/j.scitotenv.2019.02.169
Scale matters: effects of temporal and spatial data resolution on water scarcity assessments
Brunner, M. I., Zappa, M., & Stähli, M. (2019). Scale matters: effects of temporal and spatial data resolution on water scarcity assessments. Advances in Water Resources, 123, 134-144. https://doi.org/10.1016/j.advwatres.2018.11.013
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
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
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
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.
How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps
Antonetti, M., & Zappa, M. (2018). How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps. Hydrology and Earth System Sciences, 22(8), 4425-4447. https://doi.org/10.5194/hess-22-4425-2018
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
 

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