Clustering model responses in the frequency space for improved simulation‐based flood risk studies: The role of a cluster number

Autor: Anna E. Sikorska‐Senoner

Publikováno v: Journal of Flood Risk Management, Vol 15, Iss 1, Pp n/a-n/a (2022)

Abstract Hydrologic models are often employed in flood risk studies to simulate possible hydrologic responses. They are, however, linked with uncertainty that is commonly represented with uncertainty intervals constructed based on a simulation ensemb

Externí odkaz: https://doaj.org/article/0de57fd60ab540d285eb29a8b0f76d15

Long-Term Changes of Hydrological Variables in a Small Lowland Watershed in Central Poland

Autor: Adam Krajewski, Anna E. Sikorska-Senoner, Roberto Ranzi, Kazimierz Banasik

Publikováno v: Water, Vol 11, Iss 3, p 564 (2019)

Climate-induced changes in small watersheds are still not well researched because long-term datasets are usually missing for these watersheds. Such studies can, however, improve our understanding of the watershed response to climatic changes at such

Externí odkaz: https://doaj.org/article/847e1f3486b54c2ca1f29b907fe35f0c

CAMELS-CH - Building a Common Open Database for Catchments in Switzerland

Autor: Rosi Siber, Marvin Höge, Martina Kauzlaric, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Daniel Viviroli, Massimiliano Zappa, Anna E. Sikorska-Senoner, Sandra Pool, Marius Günter Floriancic, Peter Reichert, Jan Seibert, Nans Addor, Bettina Schaefli, Fabrizio Fenicia

Publikováno v: Siber, Rosi; Höge, Marvin; Kauzlaric, Martina; Schönenberger, Ursula; Horton, Pascal; Schwanbeck, Jan; Viviroli, Daniel; Zappa, Massimiliano; Sikorska-Senoner, Anna E.; Pool, Sandra; Floriancic, Marius Günter; Reichert, Peter; Seibert, Jan; Addor, Nans; Schaefli, Bettina; Fenicia, Fabrizio (May 2022). CAMELS-CH-Building a Common Open Database for Catchments in Switzerland. In: EGU General Assembly 2022. Vienna, Austria. 23–27 May 2022. 10.5194/egusphere-egu22-9859

Over recent years, numerous open catchment datasets have been published. In 2017, the first CAMELS (catchment attributes and meteorology for large-sample studies) dataset was released for the continental US by Addor et al. (2017). It comprises data f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5285836eec4430cb98f2b7ddb4e02a2
https://doi.org/10.5194/egusphere-egu22-9859

Hydrological model calibration with uncertain discharge data

Autor: Ida Westerberg, Marc Vis, Daniel Viviroli, Anna E. Sikorska-Senoner, Jan Seibert

Publikováno v: Hydrological Sciences Journal. 67:2441-2456

Discharge data used to calibrate and evaluate hydrological models can be highly uncertain and this uncertainty affects the conclusions that we can draw from modelling results. We investigated the r...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b9ad4f6ee2d37561845c18222430532c
https://doi.org/10.1080/02626667.2020.1735638

Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin

Autor: Daniel Viviroli, Anna E. Sikorska-Senoner, Guillaume Evin, Maria Staudinger, Martina Kauzlaric, Jérémy Chardon, Anne-Catherine Favre, Benoit Hingray, Gilles Nicolet, Damien Raynaud, Jan Seibert, Rolf Weingartner, Calvin Whealton

Publikováno v: Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences, In press, ⟨10.5194/nhess-2022-99⟩
Natural Hazards and Earth System Sciences, 2022, 22, pp.2891-2920. ⟨10.5194/nhess-22-2891-2022⟩
Viviroli, Daniel; Sikorska-Senoner, Anna E.; Evin, Guillaume; Staudinger, Maria; Kauzlaric, Martina; Chardon, Jérémy; Favre, Anne-Catherine; Hingray, Benoit; Nicolet, Gilles; Raynaud, Damien; Seibert, Jan; Weingartner, Rolf; Whealton, Calvin (2022). Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin. Natural hazard and earth system sciences, 22(9), pp. 2891-2920. Copernicus Publications 10.5194/nhess-22-2891-2022

Estimates for rare to very rare floods are limited by the relatively short streamflow records available. Often, pragmatic conversion factors are used to quantify such events based on extrapolated observations, or simplifying assumptions are made abou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e640fe8e1eb4a0490243d9e49b60788