Articles | Volume 18, issue 11
Hydrol. Earth Syst. Sci., 18, 4703–4720, 2014
https://doi.org/10.5194/hess-18-4703-2014
Hydrol. Earth Syst. Sci., 18, 4703–4720, 2014
https://doi.org/10.5194/hess-18-4703-2014

Research article 28 Nov 2014

Research article | 28 Nov 2014

Effect of meteorological forcing and snow model complexity on hydrological simulations in the Sieber catchment (Harz Mountains, Germany)

K. Förster et al.

Related authors

Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach
Benjamin Winter, Klaus Schneeberger, Kristian Förster, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 20, 1689–1703, https://doi.org/10.5194/nhess-20-1689-2020,https://doi.org/10.5194/nhess-20-1689-2020, 2020
Short summary
Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?
Hannes Müller-Thomy, Markus Wallner, and Kristian Förster
Hydrol. Earth Syst. Sci., 22, 5259–5280, https://doi.org/10.5194/hess-22-5259-2018,https://doi.org/10.5194/hess-22-5259-2018, 2018
Short summary
Projected cryospheric and hydrological impacts of 21st century climate change in the Ötztal Alps (Austria) simulated using a physically based approach
Florian Hanzer, Kristian Förster, Johanna Nemec, and Ulrich Strasser
Hydrol. Earth Syst. Sci., 22, 1593–1614, https://doi.org/10.5194/hess-22-1593-2018,https://doi.org/10.5194/hess-22-1593-2018, 2018
Short summary
Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps)
Kristian Förster, Florian Hanzer, Elena Stoll, Adam A. Scaife, Craig MacLachlan, Johannes Schöber, Matthias Huttenlau, Stefan Achleitner, and Ulrich Strasser
Hydrol. Earth Syst. Sci., 22, 1157–1173, https://doi.org/10.5194/hess-22-1157-2018,https://doi.org/10.5194/hess-22-1157-2018, 2018
Short summary
A snow and ice melt seasonal prediction modelling system for Alpine reservoirs
Kristian Förster, Felix Oesterle, Florian Hanzer, Johannes Schöber, Matthias Huttenlau, and Ulrich Strasser
Proc. IAHS, 374, 143–150, https://doi.org/10.5194/piahs-374-143-2016,https://doi.org/10.5194/piahs-374-143-2016, 2016
Short summary

Related subject area

Subject: Snow and Ice | Techniques and Approaches: Modelling approaches
Trends and variability in snowmelt in China under climate change
Yong Yang, Rensheng Chen, Guohua Liu, Zhangwen Liu, and Xiqiang Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-433,https://doi.org/10.5194/hess-2021-433, 2021
Revised manuscript accepted for HESS
Short summary
Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations
Ryan L. Crumley, David F. Hill, Katreen Wikstrom Jones, Gabriel J. Wolken, Anthony A. Arendt, Christina M. Aragon, Christopher Cosgrove, and Community Snow Observations Participants
Hydrol. Earth Syst. Sci., 25, 4651–4680, https://doi.org/10.5194/hess-25-4651-2021,https://doi.org/10.5194/hess-25-4651-2021, 2021
Short summary
Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area
Esteban Alonso-González, Ethan Gutmann, Kristoffer Aalstad, Abbas Fayad, Marine Bouchet, and Simon Gascoin
Hydrol. Earth Syst. Sci., 25, 4455–4471, https://doi.org/10.5194/hess-25-4455-2021,https://doi.org/10.5194/hess-25-4455-2021, 2021
Short summary
The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments
Michael Weber, Franziska Koch, Matthias Bernhardt, and Karsten Schulz
Hydrol. Earth Syst. Sci., 25, 2869–2894, https://doi.org/10.5194/hess-25-2869-2021,https://doi.org/10.5194/hess-25-2869-2021, 2021
Short summary
Learning about precipitation lapse rates from snow course data improves water balance modeling
Francesco Avanzi, Giulia Ercolani, Simone Gabellani, Edoardo Cremonese, Paolo Pogliotti, Gianluca Filippa, Umberto Morra di Cella, Sara Ratto, Hervè Stevenin, Marco Cauduro, and Stefano Juglair
Hydrol. Earth Syst. Sci., 25, 2109–2131, https://doi.org/10.5194/hess-25-2109-2021,https://doi.org/10.5194/hess-25-2109-2021, 2021
Short summary

Cited articles

Anderson, E. A.: Development and testing of snow pack energy balance equations, Water Resour. Res., 4, 19–37, 1968.
Anderson, E. A.: National Weather Service River Forecast System – Snow Accumulation and Ablation Model, in: NOAA Technical Memorandum, edited by: NOAA, vol. NWS HYDRO-17, National Weather Service, Silver Spring, 1973.
Bales, R. C., Molotch, N. P., Painter, T. H., Dettinger, M. D., Rice, R., and Dozier, J.: Mountain hydrology of the western United States, Water Resour. Res., 42, W08432, https://doi.org/10.1029/2005WR004387, 2006.
Barry, R. G. and Gan, T. Y.: The Global Cryosphere: Past, Present, and Future, Cambridge University Press, Cambridge, 2011.
Bernhardt, M., Liston, G. E., Strasser, U., Zängl, G., and Schulz, K.: High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields, The Cryosphere, 4, 99–113, https://doi.org/10.5194/tc-4-99-2010, 2010.
Download
Short summary
Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.