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Anna Sikorska-Senoner, Ph.D.,
Researcher at the University of Zurich

Water is the driving force of all nature

Leonardo da Vinci

Recently published:

McMillan H., Coxon G., Sikorska-Senoner A.E., Westerberg I. (2022) Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface, Hydrological Processes, https://doi.org/10.1002/hyp.14481.

Quilty J.M., Sikorska-Senoner A.E., Hah, D. (2022) A stochastic conceptual-data-driven approach for improved hydrological simulations, Environmental Modelling & Software, 105326, https://doi.org/10.1016/j.envsoft.2022.105326.

Sikorska-Senoner A.E. (2021) Clustering model responses in the frequency space for improved simulation-based flood risk studies: the role of a cluster number, Journal of Flood Risk Management, e12772, doi:10.1111/jfr3.12772.

Sikorska-Senoner A.E. (2021) Delineating modelling uncertainty in river flow indicators with representative parameter sets, Advances in Water Resources, 156, 104024, https://doi.org/10.1016/j.advwatres.2021.104024.

Sikorska-Senoner A.E., and Quilty J.M. (2021) A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations, Environmental Modelling & Software, 143, 105094, https://doi.org/10.1016/j.envsoft.2021.105094.


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