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Manifestations and mechanisms of the Karakoram glacier Anomaly
Farinotti, D., Immerzeel, W. W., de Kok, R. J., Quincey, D. J., & Dehecq, A. (2020). Manifestations and mechanisms of the Karakoram glacier Anomaly. Nature Geoscience, 13(1), 8-16. https://doi.org/10.1038/s41561-019-0513-5
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
Importance and vulnerability of the world's water towers
Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T., … Baillie, J. E. M. (2020). Importance and vulnerability of the world's water towers. Nature, 577, 364-369. https://doi.org/10.1038/s41586-019-1822-y
HPEval: a canopy shortwave radiation transmission model using high-resolution hemispherical images
Jonas, T., Webster, C., Mazzotti, G., & Malle, J. (2020). HPEval: a canopy shortwave radiation transmission model using high-resolution hemispherical images. Agricultural and Forest Meteorology, 284, 107903 (9 pp.). https://doi.org/10.1016/j.agrformet.2020.107903
Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models
Li, X., Al-Yaari, A., Schwank, M., Fan, L., Frappart, F., Swenson, J., & Wigneron, J. P. (2020). Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models. Remote Sensing of Environment, 236, 111502 (16 pp.). https://doi.org/10.1016/j.rse.2019.111502
Slope stability of a scree slope based on integrated characterisation and monitoring
Lucas, D., Fankhauser, K., Maurer, H., McArdell, B., Grob, R., Herzog, R., … Springman, S. M. (2020). Slope stability of a scree slope based on integrated characterisation and monitoring. Water, 12(2), 447 (38 pp.). https://doi.org/10.3390/w12020447
Resolving small‐scale forest snow patterns using an energy‐balance snow model with a 1‐layer canopy
Mazzotti, G., Essery, R., Moeser, C. D., & Jonas, T. (2020). Resolving small‐scale forest snow patterns using an energy‐balance snow model with a 1‐layer canopy. Water Resources Research. https://doi.org/10.1029/2019WR026129
Climate change impacts on summer flood frequencies in two mountainous catchments in China and Switzerland
Ragettli, S., Tong, X., Zhang, G., Wang, H., Zhang, P., & Stähli, M. (2020). Climate change impacts on summer flood frequencies in two mountainous catchments in China and Switzerland. Hydrology Research. https://doi.org/10.2166/nh.2019.118
Leaf morphological traits and leaf nutrient concentrations of European beech across a water availability gradient in Switzerland
Salehi, M., Walthert, L., Zimmermann, S., Waldner, P., Schmitt, M., Schleppi, P., … Thimonier, A. (2020). Leaf morphological traits and leaf nutrient concentrations of European beech across a water availability gradient in Switzerland. Frontiers in Forests and Global Change, 3, 19 (18 pp.). https://doi.org/10.3389/ffgc.2020.00019
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
A Bayesian ice thickness estimation model for large-scale applications
Werder, M. A., Huss, M., Paul, F., Dehecq, A., & Farinotti, D. (2020). A Bayesian ice thickness estimation model for large-scale applications. Journal of Glaciology, 66(255), 137-152. https://doi.org/10.1017/jog.2019.93
2D runout modelling of hillslope debris flows, based on well-documented events in Switzerland
Zimmermann, F., McArdell, B. W., Rickli, C., & Scheidl, C. (2020). 2D runout modelling of hillslope debris flows, based on well-documented events in Switzerland. Geosciences, 10(2), 70 (17 pp.). https://doi.org/10.3390/geosciences10020070
Global sinusoidal seasonality in precipitation isotopes
Allen, S. T., Jasechko, S., Berghuijs, W. R., Welker, J. M., Goldsmith, G. R., & Kirchner, J. W. (2019). Global sinusoidal seasonality in precipitation isotopes. Hydrology and Earth System Sciences, 23(8), 3423-3436. https://doi.org/10.5194/hess-23-3423-2019
Seasonal origins of soil water used by trees
Allen, S. T., Kirchner, J. W., Braun, S., Siegwolf, R. T. W., & Goldsmith, G. R. (2019). Seasonal origins of soil water used by trees. Hydrology and Earth System Sciences, 23(2), 1199-1210. https://doi.org/10.5194/hess-23-1199-2019
The seasonal origins of streamwater in Switzerland
Allen, S. T., von Freyberg, J., Weiler, M., Goldsmith, G. R., & Kirchner, J. W. (2019). The seasonal origins of streamwater in Switzerland. Geophysical Research Letters, 46(17-18), 10425-10434. https://doi.org/10.1029/2019GL084552
Hochwasserschäden: Entwicklung und Trends
Andres, N., & Badoux, A. (2019). Hochwasserschäden: Entwicklung und Trends. In M. Bründl & J. Schweizer (Eds.), WSL Berichte: Vol. 78. Lernen aus Extremereignissen (pp. 31-37). Birmensdorf: Eidg. Forschungsanstalt für Wald, Schnee und Landschaft.
Normalisierung und Trends der Unwetterschäden in der Schweiz (1972–2016)
Andres, N., & Badoux, A. (2019). Normalisierung und Trends der Unwetterschäden in der Schweiz (1972–2016). Wasser, Energie, Luft, 111(1), 39-43.
The Swiss flood and landslide damage database: normalisation and trends
Andres, N., & Badoux, A. (2019). The Swiss flood and landslide damage database: normalisation and trends. Journal of Flood Risk Management, 12(S1), e12510 (12 pp.). https://doi.org/10.1111/jfr3.12510
Unwetterschäden in der Schweiz im Jahre 2018. Rutschungen, Murgänge, Hochwasser und Sturzereignisse
Andres, N., & Badoux, A. (2019). Unwetterschäden in der Schweiz im Jahre 2018. Rutschungen, Murgänge, Hochwasser und Sturzereignisse. Wasser, Energie, Luft, 111(1), 29-38.
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. https://doi.org/10.1029/2019WR025280
 

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