World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Effect of Meteorological Forcing and Snow Model Complexity on Hydrological Simulations in the Sieber Catchment (Harz Mountains, Germany) : Volume 18, Issue 11 (28/11/2014)

By Förster, K.

Click here to view

Book Id: WPLBN0004011291
Format Type: PDF Article :
File Size: Pages 18
Reproduction Date: 2015

Title: Effect of Meteorological Forcing and Snow Model Complexity on Hydrological Simulations in the Sieber Catchment (Harz Mountains, Germany) : Volume 18, Issue 11 (28/11/2014)  
Author: Förster, K.
Volume: Vol. 18, Issue 11
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Meon, G., Strasser, U., Marke, T., & Förster, K. (2014). Effect of Meteorological Forcing and Snow Model Complexity on Hydrological Simulations in the Sieber Catchment (Harz Mountains, Germany) : Volume 18, Issue 11 (28/11/2014). Retrieved from

Description: Department of Hydrology, Water Management and Water Protection, Leichtweiss Institute for Hydraulic Engineering and Water Resources, University of Braunschweig, Beethovenstr. 51a, 38106 Braunschweig, Germany. Detailed physically based snow models using energy balance approaches are spatially and temporally transferable and hence regarded as particularly suited for scenario applications including changing climate or land use. However, these snow models place high demands on meteorological input data at the model scale. Besides precipitation and temperature, time series of humidity, wind speed, and radiation have to be provided. In many catchments these time series are rarely available or provided by a few meteorological stations only. This study analyzes the effect of improved meteorological input on the results of four snow models with different complexity for the Sieber catchment (44.4 km2) in the Harz Mountains, Germany. The Weather Research and Forecast model (WRF) is applied to derive spatial and temporal fields of meteorological surface variables at hourly temporal resolution for a regular grid of 1.1 km × 1.1 km. All snow models are evaluated at the point and the catchment scale. For catchment-scale simulations, all snow models were integrated into the hydrological modeling system PANTA RHEI. The model results achieved with a simple temperature-index model using observed precipitation and temperature time series as input are compared to those achieved with WRF input. Due to a mismatch between modeled and observed precipitation, the observed melt runoff as provided by a snow lysimeter and the observed streamflow are better reproduced by application of observed meteorological input data. In total, precipitation is simulated statistically reasonably at the seasonal scale but some single precipitation events are not captured by the WRF data set. Regarding the model efficiencies achieved for all simulations using WRF data, energy balance approaches generally perform similarly compared to the temperature-index approach and partially outperform the latter.

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

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, doi: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, doi:10.5194/tc-4-99-2010, 2010.; Beven, K. J.: Rainfall-Runoff Modelling: The Primer, Wiley, Chichester, 2001.; Beven, K. J.: Causal models as multiple working hypotheses about environmental processes, C. R. Geosci., 344, 77–88, 2012.; Breuer, L., Eckhardt, K., and Frede, H.-G.: Plant parameter values for models in temperate climates, Ecol. Model., 169, 237–293, 2003.; Charbonneau, R., Lardeau, J.-P., and Obled, C.: Problems of modelling a high mountainous drainage basin with predominant snow yields, Hydrolog. Sci. Bull., 26, 345–361, 1981.; Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system, Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001.; Dudhia, J.: Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 3077–3107, 1989.; Clark, M. P., Kavetski, D., and Fenicia, F.: Pursuing the method of multiple working hypotheses for hydrological modeling, Water Resour. Res., 47, W09301, doi:10.1029/2010WR009827, 2011.; Eggelsmann, F. and Lange, A.: Der Wasserhaushalt des Westharzes: Hydrologische Untersuchungen 1941–2010, Harzwasserwerke GmbH, Abteilung Wasserwirtschaft, Hildesheim, 2011.; El-Sadek, A., Bleiweiss, M., Shukla, M., Guldan, S., and Fernald, A.: Alternative climate data sources for distributed hydrological modelling on a daily time step, Hydrol. Process., 25, 1542–1557, 2011.; Etchevers, P., Martin, E., Brown, R., Fierz, C., Lejeune, Y., Bazile, E., Boone, A., Dai, Y.-J., Essery, R., Fernandez, A., Gusev, Y., Jordan, R., Koren, V., Kowalczyk, E., Nasonova, O., Pyles, R. D., Schlosser, A., Shmakin, A. B., Smirnova, T. G., Strasser, U., Verseghy, D., Yamazaki, T., and Yang, Z.-L.: Validation of the energy budget of an alpine snowpack simulated by several snow models (SnowMIP project), Ann. Glaciol., 38, 150–158, 2004.; Förster, K.: Detaillierte Nachbildung von Schneeprozessen in der hydrologischen Modellierung, Ph.D. thesis, Technische Universität Braunschweig, Braunschweig, available at: (last access: 7 April 2014), 2013.; Förster, K., Gelleszun, M., and Meon, G.: A weather dependent approach to estimate the annual course of vegetation parameters for water balance simulations on the meso- and macroscale, Adv. Geosci., 32, 15–21, doi:10.5194/adgeo-32-15-2012, 2012.; Franz, K. J.: Characterization of the Comparative Skill of Conceptual and Physically-Based Snow Models for Streamflow Prediction, Ph.D. thesis, University of California, Irvine, 2006.; Franz, K. J., Hogue, T. S., and Soroshian, S.: Operational snow modeling: addressing the challenges of an energy balance model for National Weather Service forecasts, J. Hydrol., 360, 48–66, 20


Click To View

Additional Books

  • Recovery of Acidified Finnish Lakes: Tre... (by )
  • Domestic Wells Have High Probability of ... (by )
  • Swrc Fit – a Nonlinear Fitting Program w... (by )
  • Hydrogeomorphic Controls on Runoff in a ... (by )
  • Joint Inference of Groundwater-recharge ... (by )
  • Estimating Sahelian and East African Soi... (by )
  • The Green, Blue and Grey Water Footprint... (by )
  • The Significance and Lag-time of Deep Th... (by )
  • A Plateau Scale Soil Moisture and Soil T... (by )
  • Experimental Investigation of the Predic... (by )
  • Modelling Subsurface Storm Flow with the... (by )
  • Combined Impacts of Current and Future D... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.