Quilty J.M., and Sikorska-Senoner A.E. (2021) Learning from one’s errors: A data-driven approach for mimicking an ensemble of hydrological model residuals, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13244, https://doi.org/10.5194/egusphere-egu21-13244.
Sikorska-Senoner A.E. (2021) Clustering model responses in the frequency space for improved flood risk analysis, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-1199, https://doi.org/10.5194/egusphere-egu21-1199.
Finger D.C., and Sikorska-Senoner A.E. (2021) Towards improving the Pareto frontier in environmental models using multi-dataset calibrations coupled with metaheuristic methods, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-11996, https://doi.org/10.5194/egusphere-egu21-11996.
Stefnisdóttir S., Sikorska-Senoner A.E., Ásgeirsson E.I., and Finger D.C. (2021) Advantages of metaheuristics for multi-dataset calibration of hydrological models, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-1395, https://doi.org/10.5194/egusphere-egu21-1395.
Sikorska-Senoner A.E. (2020) , Intelligent parameter sampling for flood uncertainty estimates at low computational costs, ZHydro Day, online, 25 Nov 2020.
Sikorska-Senoner A.E., and Seibert J. (2020) How many parameter sets are really needed for reliable simulation of extreme floods? 18th Swiss Geoscience Meeting, Zurich 2020, online, 6-7 Nov 2020.
Sikorska-Senoner A.E., and Seibert J. (2020) How to construct ensemble intervals for prediction of extremes? Simulation study based on long hydro-meteorological series, 6th IAHR Europe Congress, online, 30 Jun – 2 Jul, 2020, Warsaw, Poland, in: Abstract Book, eds. Monika Kalinowska, pp. 449-450, doi: 10.24425/13666.
Sikorska-Senoner A.E., Schaefli B., and Seibert J. (2020) Navigating through extreme flood simulations with intelligently chosen parameter sets, EGU General Assembly 2020, Online, 4–8 May 2020, doi: https://doi.org/10.5194/egusphere-egu2020-10348.