Seibert, Jan

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Number of items: 6.

Journal Article

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

Sikorska-Senoner, Anna E.; Schaefli, Bettina; Seibert, Jan (2020). Downsizing parameter ensembles for simulations of extreme floods. Natural Hazards and Earth System Sciences, 20(12), pp. 3521-3549. Copernicus Publications 10.5194/nhess-20-3521-2020

Addor, Nans; Rohrer, Marco; Furrer, Reinhard; Seibert, Jan (2016). Propagation of biases in climate models from the synoptic to the regional scale: Implications for bias adjustment. Journal of Geophysical Research: Atmospheres, 121(5), pp. 2075-2089. American Geophysical Union 10.1002/2015JD024040

Addor, Nans; Rössler, Ole Kristen; Köplin, Nina; Huss, Matthias; Weingartner, Rolf; Seibert, Jan (2014). Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments. Water resources research, 50(10), pp. 7541-7562. American Geophysical Union 10.1002/2014WR015549

Viviroli, Daniel; Schädler, Bruno; Schmocker-Fackel, Petra; Weiler, Markus; Seibert, Jan (2012). On the risk of obtaining misleading results by pooling streamflow data for trend analyses. Water resources research, 48(5), W05601. Washington, D.C.: American Geophysical Union 10.1029/2011WR011690

Conference or Workshop Item

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

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