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Operational snow-hydrological modeling for Switzerland
Mott, R., Winstral, A., Cluzet, B., Helbig, N., Magnusson, J., Mazzotti, G., … Jonas, T. (2023). Operational snow-hydrological modeling for Switzerland. Frontiers in Earth Science, 11, 1228158 (20 pp.). https://doi.org/10.3389/feart.2023.1228158
Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events
Schirmer, M., Winstral, A., Jonas, T., Burlando, P., & Peleg, N. (2022). Natural climate variability is an important aspect of future projections of snow water resources and rain-on-snow events. Cryosphere, 16(9), 3469-3488. https://doi.org/10.5194/tc-16-3469-2022
Improving hydropower inflow forecasts by assimilating snow data
Magnusson, J., Nævdal, G., Matt, F., Burkhart, J. F., & Winstral, A. (2020). Improving hydropower inflow forecasts by assimilating snow data. Hydrology Research, 51(2), 226-237. https://doi.org/10.2166/nh.2020.025
Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments
Griessinger, N., Schirmer, M., Helbig, N., Winstral, A., Michel, A., & Jonas, T. (2019). Implications of observation-enhanced energy-balance snowmelt simulations for runoff modeling of Alpine catchments. Advances in Water Resources, 133, 103410 (12 pp.). https://doi.org/10.1016/j.advwatres.2019.103410
The bias detecting ensemble: a new and efficient technique for dynamically incorporating observations into physics‐based, multi‐layer, snow models
Winstral, A., Magnusson, J., Schirmer, M., & Jonas, T. (2019). The bias detecting ensemble: a new and efficient technique for dynamically incorporating observations into physics‐based, multi‐layer, snow models. Water Resources Research, 55, 613-631. https://doi.org/10.1029/2018WR024521
Trockenheit in der Schweiz: Vergleich der Jahre 2003, 2015 und 2018
Zappa, M., Liechti, K., Winstral, A. H., & Barben, M. (2019). Trockenheit in der Schweiz: Vergleich der Jahre 2003, 2015 und 2018. Wasser, Energie, Luft, 111(2), 95-100.
Eleven years of mountain weather, snow, soil moisture and streamflow data from the rain–snow transition zone – the Johnston Draw catchment, Reynolds Creek Experimental Watershed and Critical Zone Observatory, USA
Godsey, S. E., Marks, D., Kormos, P. R., Seyfried, M. S., Enslin, C. L., Winstral, A. H., … Link, T. E. (2018). Eleven years of mountain weather, snow, soil moisture and streamflow data from the rain–snow transition zone – the Johnston Draw catchment, Reynolds Creek Experimental Watershed and Critical Zone Observatory, USA. Earth System Science Data, 10(3), 1207-1216. https://doi.org/10.5194/essd-10-1207-2018
Simulating the dependence of aspen (Populus tremuloides) on redistributed snow in a semi-arid watershed
Soderquist, B. S., Kavanagh, K. L., Link, T. E., Seyfried, M. S., & Winstral, A. H. (2018). Simulating the dependence of aspen (Populus tremuloides) on redistributed snow in a semi-arid watershed. Ecosphere, 9(1), e02068 (19 pp.). https://doi.org/10.1002/ecs2.2068
Parameterizing surface wind speed over complex topography
Helbig, N., Mott, R., van Herwijnen, A., Winstral, A., & Jonas, T. (2017). Parameterizing surface wind speed over complex topography. Journal of Geophysical Research D: Atmospheres, 122(2), 651-667. https://doi.org/10.1002/2016JD025593
Improving physically based snow simulations by assimilating snow depths using the particle filter
Magnusson, J., Winstral, A., Stordal, A. S., Essery, R., & Jonas, T. (2017). Improving physically based snow simulations by assimilating snow depths using the particle filter. Water Resources Research, 53(2), 1125-1143. https://doi.org/10.1002/2016WR019092
Statistical downscaling of gridded wind speed data using local topography
Winstral, A., Jonas, T., & Helbig, N. (2017). Statistical downscaling of gridded wind speed data using local topography. Journal of Hydrometeorology, 18, 335-348. https://doi.org/10.1175/JHM-D-16-0054.1
Assessment of the timing of daily peak streamflow during the melt season in a snow-dominated watershed
Chen, X., Kumar, M., Wang, R., Winstral, A., & Marks, D. (2016). Assessment of the timing of daily peak streamflow during the melt season in a snow-dominated watershed. Journal of Hydrometeorology, 17(8), 2225-2244. https://doi.org/10.1175/JHM-D-15-0152.1
Evaluating snow models with varying process representations for hydrological applications
Magnusson, J., Wever, N., Essery, R., Helbig, N., Winstral, A., & Jonas, T. (2015). Evaluating snow models with varying process representations for hydrological applications. Water Resources Research, 51(4), 2707-2723. https://doi.org/10.1002/2014WR016498