Dr. Michael Schirmer

Function

Scientific staff member

Mountain Hydrology and Mass Movements

Snow and Atmosphere

Hydrological Forecasts

Snow Hydrology

Contact

michael.schirmer(at)wslto make life hard for spam bots.ch

Swiss Federal Research Institute WSL
Zürcherstrasse 111
8903 Birmensdorf

Site

Birmensdorf Bi LG D 03

Current Postion

Research Scientist, Team Snow Hydrology, SLF Davos, Switzerland

Education

Postdoc at the University of Saskatchewan, Centre for Hydrology, Coldwater Lab, Canmore, Canada.

Postdoc at the University of Calgary, Canada, Department of Civil Engineering, Team Applied Snow and Avalanche Research.<br/>

PhD Geography, Team Snow and Micrometeorology, SLF Davos, Switzerland/RWTH Aachen, Germany

Academic studies in Mathematics and Geography at the Phillips-University Marburg and Albert-Ludwigs University Freiburg, Germany

FURTHER INFORMATION

Publications WSL

Scientific publication article peer reviewed

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. doi: 10.5194/tc-16-3469-2022

Helbig, N.; Schirmer, M.; Magnusson, J.; Mäder, F.; Van Herwijnen, A.; Quéno, L.; Bühler, Y.; Deems, J.S.; Gascoin, S., 2021: A seasonal algorithm of the snow-covered area fraction for mountainous terrain. Cryosphere, 15, 9: 4607-4624. doi: 10.5194/tc-15-4607-2021

Schirmer, M.; Pomeroy, J.W., 2020: Processes governing snow ablation in alpine terrain - detailed measurements from the Canadian Rockies. Hydrology and Earth System Sciences, 24, 1: 143-157. doi: 10.5194/hess-24-143-2020

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.). doi: 10.1016/j.advwatres.2019.103410

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. doi: 10.1029/2018WR024521

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Further scientific publications

Helbig, N.; Ehrler, M.; Schirmer, M.; Jonas, T., 2018: Where is the snow: validating a fractional-snow covered area parameterization for snow melt forecasting with satellite measurements. In: 2018: International snow science workshop proceedings 2018. International snow science workshop, ISSW 2018, Innsbruck. 357-360.

Jamieson, B.; Schirmer, M., 2016: Measuring snow surface temperature: why, why not, and how?. In: 2016: International snow science workshop proceedings 2016. International snow science workshop, ISSW 2016, Breckenridge, CO, USA, October 2-7, 2016. 254-261.

Mott, R.; Schirmer, M.; Grünewald, T.; Lehning, M., 2009: Understanding snow transport processes shaping the mountain snow-cover. In: Schweizer, J.; Van Herwijnen, A. (eds), 2009: International snow science workshop proceedings 2009. International snow science workshop, ISSW 2009, Davos, Switzerland, September 27 - October 2, 2009. 141-145.

Wirz, V.; Schirmer, M.; Lehning, M., 2009: Analysis of temporal and spatial snow depth changes in a steep rock face. In: Schweizer, J.; Van Herwijnen, A. (eds), 2009: International snow science workshop proceedings 2009. International snow science workshop, ISSW 2009, Davos, Switzerland, September 27 - October 2, 2009. 155-159.

Schirmer, M.; Schweizer, J.; Lehning, M., 2009: Regional stability evaluation with modelled snow cover data. In: Schweizer, J.; Van Herwijnen, A. (eds), 2009: International snow science workshop proceedings 2009. International snow science workshop, ISSW 2009, Davos, Switzerland, September 27 - October 2, 2009. 306-312.

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