Scenarios of Future Snow Conditions in Styria (Austrian Alps)

A hydrometeorological model chain is applied to investigate climate change effects on natural and artificial snow conditions in the Schladming region in Styria (Austria). Four dynamically refined realizations of the IPCC A1B scenario covering the warm/cold and wet/dry bandwidth of projected changes in temperature and precipitation in the winter half-year are statistically downscaled and bias corrected prior to their application as input for a physically based, distributed energy-balance snow model. However, owing to the poor skills in the reproduction of past climate and snow conditions in the considered region, one realization had to be removed from the selection to avoid biases in the results of the climate change impact analysis. The model’s capabilities in the simulation of natural and artificial snow conditions are evaluated and changes in snow conditions are addressed by comparing the number of snow cover days, the length of the ski season, and the amounts of technically produced snow as simulated for the past and the future. The results for natural snow conditions indicate decreases in the number of snow cover days and the ski season length of up to .25 and .35 days, respectively. The highest decrease in the calculated ski season length has been found for elevations between 1600 and 2700m MSL, with an average decrease rate of ;2.6 daysdecade 21 . For the exemplary ski site considered, the ski season length simulated for natural snow conditions decreases from .50 days at present to ;40 days in the 2050s. Technical snow production allows the season to be prolonged by ;80 days and hence allows ski season lengths of ;120 days until the end of the scenario period in 2050.

[1]  Kelly Elder,et al.  A Distributed Snow-Evolution Modeling System (SnowModel) , 2004 .

[2]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[3]  S. Gruber,et al.  A mass‐conserving fast algorithm to parameterize gravitational transport and deposition using digital elevation models , 2007 .

[4]  Martin Funk,et al.  Spatial and temporal variability of meteorological variables at Haut Glacier d'Arolla (Switzerland) during the ablation season 2001: Measurements and simulations , 2004 .

[5]  M. Olefs,et al.  Boundary Conditions for Artificial Snow Production in the Austrian Alps , 2010 .

[6]  A. Matzarakis,et al.  Artificial snowmaking possibilities and climate change based on regional climate modeling in the Southern Black Forest , 2012 .

[7]  C. Schär,et al.  A PRECIPITATION CLIMATOLOGY OF THE ALPS FROM HIGH-RESOLUTION RAIN-GAUGE OBSERVATIONS , 1998 .

[8]  Robert Steiger,et al.  The impact of climate change on ski season length and snowmaking requirements in Tyrol, Austria , 2010 .

[9]  U. Strasser,et al.  Coupled component modelling for inter- and transdisciplinary climate change impact research: Dimensions of integration and examples of interface design , 2014, Environ. Model. Softw..

[10]  Paul D. Bates,et al.  Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE , 2002 .

[11]  G. Liston,et al.  A meteorological distribution system for high-resolution terrestrial modeling (MicroMet) , 2004 .

[12]  Daniel Scott,et al.  Climate change and the skiing industry in southern Ontario (Canada): exploring the importance of snowmaking as a technical adaptation , 2003 .

[13]  Larry D. Hinzman,et al.  Energy Balance and Hydrological Processes in an Arctic Watershed , 1996 .

[14]  P. Linden,et al.  ENSEMBLES: Climate Change and its Impacts - Summary of research and results from the ENSEMBLES project , 2009 .

[15]  D. Jacob,et al.  The effect of downscaling on river runoff modeling: a hydrological case study in the Upper Danube Watershed , 2011 .

[16]  K. Elder,et al.  Scale effects in a distributed snow water equivalence and snowmelt model for mountain basins , 1998 .

[17]  A. Gobiet,et al.  Analysis of uncertainty in large scale climate change projections over Europe , 2011 .

[18]  V. Klemeš.  The modelling of mountain hydrology : the ultimate challenge , 1989 .

[19]  Boris Sevruk,et al.  Estimation of Wind-Induced Error of Rainfall Gauge Measurements Using a Numerical Simulation , 1999 .

[20]  W. Mauser,et al.  GLOWA Danube: A research concept to develop integrative techniques, scenarios and strategies regarding global changes of the water cycle , 2002 .

[21]  David G. Tarboton,et al.  The Influence of the Spatial Distribution of Snow on Basin-Averaged Snowmelt , 1998 .

[22]  H. Kunstmann,et al.  Performance of complex snow cover descriptions in a distributed hydrological model system: A case study for the high Alpine terrain of the Berchtesgaden Alps , 2013, Water resources research.

[23]  Andreas Gobiet,et al.  Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal , 2012, Climatic Change.

[24]  P. Marsh.  Snowcover formation and melt: recent advances and future prospects , 1999 .

[25]  T. Marke.  Development and Application of a Model Interface to couple Land Surface Models with Regional Climate Models for Climate Change Risk Assessment in the Upper Danube Watershed , 2008 .

[26]  Douglas L. Kane,et al.  Snow hydrology of a headwater Arctic basin: 1. Physical measurements and process studies , 1991 .

[27]  V. Hoffmann,et al.  Klimawandel aus der Sicht der Schweizer Seilbahnunternehmer , 2008 .

[28]  Thomas Marke,et al.  Distributed, explicit modeling of technical snow production for a ski area in the Schladming region (Austrian Alps) , 2014 .

[29]  D. Hall,et al.  Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data , 1995 .

[30]  Günter Blöschl,et al.  Scaling issues in snow hydrology , 1999 .

[31]  Andreas Marx,et al.  4.2 Forests and forestry , 2012 .

[32]  Günter Blöschl,et al.  Entering the Era of Distributed Snow Models , 1994 .

[33]  Regine Hock,et al.  Temperature index melt modelling in mountain areas , 2003 .

[34]  E. Anderson,et al.  A point energy and mass balance model of a snow cover , 1975 .

[35]  D. Scott,et al.  Climate change and Quebec's ski industry , 2007 .

[36]  U. Strasser,et al.  ESCIMO.spread – a spreadsheet-based point snow surface energy balance model to calculate hourly snow water equivalent and melt rates for historical and changing climate conditions , 2010 .

[37]  R. Jordan.  A One-dimensional temperature model for a snow cover : technical documentation for SNTHERM.89 , 1991 .

[38]  Wolfram Mauser,et al.  Is snow sublimation important in the alpine water balance , 2007 .

[39]  H. Elsasser,et al.  The Vulnerability of the Snow Industry in the Swiss Alps , 2001 .

[40]  Wouter H. Knap,et al.  Elevational changes in meteorological variables along a midlatitude glacier during summer , 1997 .

[41]  A. Sterl,et al.  The ERA‐40 re‐analysis , 2005 .

[42]  A. Gobiet,et al.  Empirical‐statistical downscaling and error correction of daily precipitation from regional climate models , 2011 .

[43]  Hayley J. Fowler,et al.  Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling , 2007 .

[44]  G. Liston.  Representing Subgrid Snow Cover Heterogeneities in Regional and Global Models , 2004 .

[45]  Ulrich Strasser,et al.  Modeling Snow–Canopy Processes on an Idealized Mountain , 2011 .

[46]  D. Scott,et al.  Climate change risk appraisal in the Austrian ski industry. , 2008 .

[47]  Chris Hewitt,et al.  Ensembles-based predictions of climate changes and their impacts , 2004 .

[48]  J. Christensen,et al.  A summary of the PRUDENCE model projections of changes in European climate by the end of this century , 2007 .

[49]  E. Adams,et al.  Evaluation of snow-surface energy balance models in alpine terrain , 2003 .

[50]  Javier G. Corripio,et al.  Vectorial algebra algorithms for calculating terrain parameters from DEMs and solar radiation modelling in mountainous terrain , 2003, Int. J. Geogr. Inf. Sci..

[51]  T. Wigley,et al.  Downscaling general circulation model output: a review of methods and limitations , 1997 .