The avalanche climate of Glacier National Park, B.C., Canada during

Similar documents
Seasonal trends and temperature dependence of the snowfall/ precipitation day ratio in Switzerland

AVALANCHE WINTER REGIMES A SYSTEM FOR DESCRIBING AVALANCHE ACTIVITY CHARACTERISTICS

Proceedings, International Snow Science Workshop, Banff, 2014

SENSITIVITY ANALYSIS OF THE RAMMS AVALANCHE DYNAMICS MODEL IN A CANADIAN TRANSITIONAL SNOW CLIMATE

PREDICTING SNOW COVER STABILITY WITH THE SNOW COVER MODEL SNOWPACK

Proceedings, International Snow Science Workshop, Banff, 2014

J8.4 TRENDS OF U.S. SNOWFALL AND SNOW COVER IN A WARMING WORLD,

Comparison of a snowpack on a slope and flat land by focusing on the effect of water infiltration

Pass, San Juan Mountains, Southwest Colorado

Expanding the snow-climate classification with avalanche-relevant information: initial description of avalanche winter regimes for southwestern Canada

SLOPE SCALE AVALANCHE FORECASTING IN THE ARCTIC (SVALBARD)

Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016

Automatic classification of manual snow profiles by snow structure

An operational supporting tool for assessing wet-snow avalanche danger

Annex I to Target Area Assessments

Weather preceding persistent deep slab avalanches

ESTIMATION OF NEW SNOW DENSITY USING 42 SEASONS OF METEOROLOGICAL DATA FROM JACKSON HOLE MOUNTAIN RESORT, WYOMING. Inversion Labs, Wilson, WY, USA 2

Proceedings, International Snow Science Workshop, Banff, 2014

SHEAR STRENGTH AND SNOWPACK STABILITY TRENDS IN NON-PERSISTANT WEAK LAYERS

Chapter outline. Reference 12/13/2016

2015: A YEAR IN REVIEW F.S. ANSLOW

Impacts of Climate Change on Autumn North Atlantic Wave Climate

No pause in the increase of hot temperature extremes

INVISIBLE WATER COSTS

A RADAR-BASED CLIMATOLOGY OF HIGH PRECIPITATION EVENTS IN THE EUROPEAN ALPS:

Here s what a weak El Nino usually brings to the nation with temperatures:

CLIMATE. UNIT TWO March 2019

Name of research institute or organization: Federal Office of Meteorology and Climatology MeteoSwiss

OBSERVATION AND MODELING OF A BURIED MELT-FREEZE CRUST

ROLE OF SYNOPTIC ATMOSPHERIC CONDITIONS IN THE FORMATION AND DISTRIBUTION OF SURFACE HOAR

Bugs in JRA-55 snow depth analysis

APPENDIX 6.5-B Knight Piésold Kitsault Mine Climate Change Assessment Letter KITSAULT MINE PROJECT ENVIRONMENTAL ASSESSMENT APPENDICES

Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016

DEPARTMENT OF EARTH & CLIMATE SCIENCES Name SAN FRANCISCO STATE UNIVERSITY Nov 29, ERTH 360 Test #2 200 pts

Assessment of Snow Cover Vulnerability over the Qinghai-Tibetan Plateau

Land Surface: Snow Emanuel Dutra

Current and future climate of the Cook Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program

NIDIS Intermountain West Drought Early Warning System January 15, 2019

Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska

Observed Climate Variability and Change: Evidence and Issues Related to Uncertainty

Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016

Flood Risk Assessment

The indicator can be used for awareness raising, evaluation of occurred droughts, forecasting future drought risks and management purposes.

The North Atlantic Oscillation: Climatic Significance and Environmental Impact

DOWNLOAD PDF SCENERY OF SWITZERLAND, AND THE CAUSES TO WHICH IT IS DUE.

Climate Variability and Change Past, Present and Future An Overview

Pacific Decadal Oscillation ( PDO ):

Figure ES1 demonstrates that along the sledging

Weather and Climate Summary and Forecast February 2018 Report

COUPLING A DISTRIBUTED HYDROLOGICAL MODEL TO REGIONAL CLIMATE MODEL OUTPUT: AN EVALUATION OF EXPERIMENTS FOR THE RHINE BASIN IN EUROPE

Proceedings, International Snow Science Workshop, Banff, 2014

1.Introduction 2.Relocation Information 3.Tourism 4.Population & Demographics 5.Education 6.Employment & Income 7.City Fees & Taxes 8.

MONITORING SNOWPACK TEMPERATURE GRADIENT USING AUTOMATIC SNOW DEPTH SENSOR

SEASONAL AND ANNUAL TRENDS OF AUSTRALIAN MINIMUM/MAXIMUM DAILY TEMPERATURES DURING

Weather and Climate Summary and Forecast Winter

Ryan P. Shadbolt * Central Michigan University, Mt. Pleasant, Michigan

Your Creekside at Bethpage Weather with 2017 Forecasts. By Kevin Walls

MULTI-SCALE SPATIAL VARIABILITY OF A LAYER OF BURIED SURFACE HOAR

Preliminary Runoff Outlook February 2018

Impacts of the April 2013 Mean trough over central North America

138 ANALYSIS OF FREEZING RAIN PATTERNS IN THE SOUTH CENTRAL UNITED STATES: Jessica Blunden* STG, Inc., Asheville, North Carolina

Changes in Frequency of Extreme Wind Events in the Arctic

Climate Change 2007: The Physical Science Basis

The Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change. Renguang Wu

Projected Change in Climate Under A2 Scenario in Dal Lake Catchment Area of Srinagar City in Jammu and Kashmir

Sierra Weather and Climate Update

Brita Horlings

Northwest Outlook October 2016

L.O Students will learn about factors that influences the environment

PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response

Climate Summary for the Northern Rockies Adaptation Partnership

Extreme Weather and Climate Change: the big picture Alan K. Betts Atmospheric Research Pittsford, VT NESC, Saratoga, NY

Impacts of snowpack accumulation and summer weather on alpine glacier hydrology

Social Studies. Chapter 2 Canada s Physical Landscape

Winter. Here s what a weak La Nina usually brings to the nation with tempseraures:

Numerical avalanche prediction: Bear Pass, British Columbia, Canada

Inter-comparison of Historical Sea Surface Temperature Datasets

Colorado State University, Fort Collins, CO Weather Station Monthly Summary Report

Ed Ross 1, David Fissel 1, Humfrey Melling 2. ASL Environmental Sciences Inc. Victoria, British Columbia V8M 1Z5

Northern Rockies Adaptation Partnership: Climate Projections

SNOW CLIMATOLOGY OF THE EASTERN SIERRA NEVADA. Susan Burak, graduate student Hydrologic Sciences University of Nevada, Reno

APPENDIX B PHYSICAL BASELINE STUDY: NORTHEAST BAFFIN BAY 1

Bias correction of global daily rain gauge measurements

A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake

Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016

Arctic Climate Change. Glen Lesins Department of Physics and Atmospheric Science Dalhousie University Create Summer School, Alliston, July 2013

Predictability and prediction of the North Atlantic Oscillation

2013 ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Cat Response

NOTES AND CORRESPONDENCE. El Niño Southern Oscillation and North Atlantic Oscillation Control of Climate in Puerto Rico

2011 National Seasonal Assessment Workshop for the Eastern, Southern, & Southwest Geographic Areas

RELATIVE IMPORTANCE OF GLACIER CONTRIBUTIONS TO STREAMFLOW IN A CHANGING CLIMATE

Winter Storm of 15 December 2005 By Richard H. Grumm National Weather Service Office State College, PA 16803

4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis

Coupling Climate to Clouds, Precipitation and Snow

A Statistical Analysis of Climate Variability and its Resulting Effects on Avalanche Occurrence in Gothic, Colorado

Weather and Climate Summary and Forecast March 2019 Report

FREEZING- RAIN IN THE GREAT LAKES

Souris River Basin Spring Runoff Outlook As of March 1, 2019

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 11 November 2013

Atmospheric icing at the high-mountain sites in the Low and High Tatras

Transcription:

The avalanche climate of Glacier National Park, B.C., Canada during 1965-2011 Sascha Bellaire 1,2*, Bruce Jamieson 1, Grant Statham 3 1 Institute of Meteorology and Geophysics, University of Innsbruck, Tyrol, Austria 2 Dept. of Civil Engineering, University of Calgary, AB, Canada 3 Parks Canada Agency, Banff, AB, Canada ABSTRACT: Climate change is evident and long-term changes of the climate system have been observed. It has been shown that changing atmospheric conditions influence the formation and evolution of the seasonal mountain snow cover and therefore determine the avalanche hazard. For this study we analyzed long-term weather data as well as snow and avalanche data from Glacier National Park, British Columbia, Canada. Weather and snow cover data was measured at two experimental sites Rogers Pass and Mt. Fidelity at 1340 m and 1905 m a.s.l., respectively. The avalanche data were observed along the section of the Trans Canada Highway located within Glacier National Park. The mean annual air temperature at both stations showed similar increases for the last decades as already found for the Northern Hemisphere. The largest increase of the monthly mean air temperature was found for the early winter months from November to January. A significant decrease of the solid precipitation, i.e. proportionally more rain, was found for Mt. Fidelity station in November. This trend might have favoured the formation of early season rain crusts, which were found in manual snow cover profiles more often during the last two decades. These crusts favour more weaknesses deep in the snowpack and potentially more deep slab avalanches. The frequency of natural avalanches within Glacier National Park did not increase during recent decades, but a trend towards more avalanches in January and March was found. However, these trends might be influenced by avalanche control work conducted at Glacier National Park and might therefore be unrelated to climate change. KEYWORDS: climate change, avalanche formation, avalanche activity, solid precipitation rate, crust formation 1 INTRODUCTION The Intergovernmental Panel on Climate Change (IPCC, 2007) has stated that the warming of the climate system is unequivocal, as is now evident from observations of increases in global average air temperature and ocean temperatures, widespread melting of snow and ice, and rising global average sea levels. It has also been found that the frequency of heavy precipitation events has increased over land areas, which is consistent with the warming and observed increase of atmospheric water vapour. Avalanche formation is clearly related to atmospheric conditions including precipitation rate, duration and type as well as wind, air temperature and radiation. Therefore, avalanche activity should also be affected by changing atmospheric conditions in a changing global climate. Very few studies have discussed the Corresponding author address*: Sascha Bellaire, Institute of Meteorology and Geophysics, University of Innsbruck, Innrain 52, Innsbruck, Austria email: Sascha.Bellaire@uibk.ac.at impact of climate change on avalanche activity (e.g. Fitzharris, 1987; Foehn, 1992, Schneebeli et al., 1997, Laternser and Schneebeli, 2002) and most of them showed inconclusive results. This shows the difficulty of relating climate change to avalanche activity, which is partly due to the fact that avalanche cycles are caused by short-term weather systems (days) rather than long-term climate trends (decades). However, the snow cover structure as the main driving agent of avalanche formation might have been influenced by climate change. For example, increasing air temperature might stabilize the snow cover, on the other hand warm air can hold more moisture, which might increase the amount of new snow. Marty and Blanchet (2011) showed that the latter might not be the case. They applied extreme value statistics to longterm time series of snow depth and snowfall for 25 Swiss stations between 200 m and 2500 m. They found decreasing trends of extreme snow depth for all altitudes and a decrease in extreme snowfall for the low and high altitudes. Snowfall trends for the mid-altitudes were not significant. Increasing air temperature also increases the probability of rain events, which can have a stabilizing effect or could contribute to the formation of melt-freeze crusts. These 1256

Figure 1: Mean annual air temperature for Mt. Fidelity (blue) and Rogers Pass (orange) between 1908 and 2011. Smoothed lines represent a five-year average. Dashed lines show the 30-year linear trend (1982 to 2011). Corresponding color coded numbers indicate the increase, derived from the corresponding linear trend of the annual mean air temperature for each station. crusts can favour the formation of facets - a typical weak layer (Jamieson, 2006). Marty and Meister (2012) found that the annual mean air temperature at six high-alpine weather stations in Europe increased by 0.8 C during the last three decades. On the other hand, they found no significant changes for long-term snow measurements for the midwinter season, but found decreasing trends for the solid precipitation ratio, snow fall and snow depth for the melt season. In western Canada, Fitzharris and Schaerer (1980) analyzed a 70-year record of avalanches affecting the Canadian Pacific Railway at Rogers Pass, British Columbia. The data set contains avalanche frequency, mass and run-out as well as the winter snowfall and air temperatures. They found that the size of the avalanches decreased during the decades leading to 1979. On the other hand, practitioners state that in recent years avalanches ran farther and occurred with higher frequency; hence more explosive control was required. In addition, avalanche practitioners observed that the formation of early season rain crusts increased during the last decade, i.e. were less frequently observed two or three decades ago. Such early season rain crusts can cause deep instabilities resulting in large, difficult to forecast and highly destructive avalanches (e.g. Jamieson et al., 2001). These partly subjective assessments are Figure 2: Linear air temperature increase (decrease) per month for Rogers Pass (orange) and Mt. Fidelity (blue) between 1982 and 2011. Trends were derived after applying a 10-year moving average to the monthly mean air temperature. Values larger 0 C (dashed line) indicate an increase and values smaller than 0 C a decrease of the monthly mean air temperature. Black solid circles indicate month where trends were found to be not significant (p-value > 0.05). 1257

often related to climate change, but have neither been quantified nor analyzed yet. The aim of this initial study is to investigate the potential relation between a changing climate and avalanche activity. Therefore we analysed long-term weather and avalanche data from Glacier National Park, British Columbia, Canada in order to a) show the degree of climate change for key parameters known to influence avalanche activity and b) relate apparent changes of these key parameters to avalanche activity, with a special focus on early season rain crust formation. 2 DATA AND METHODS 2.1 Meteorological data For this study we used meteorological data from two weather stations located within Glacier National Park, British Columbia, Canada. The first station, Rogers Pass, is located at 1340 m a.s.l. and the second station, Mt. Fidelity, is located at 1905 m a.s.l. Meteorological data from these stations are available from 1966 to 2011 for Mt. Fidelity and from 1908 to 2011 for Rogers Pass. Precipitation was measured at both stations with a precipitation gauge. In the event of precipitation falling as snow, the snow water equivalent (SWE) was calculated based on measured snow density. The solid precipitation ratio, i.e. the fraction of the solid precipitation in the total precipitation was then calculated for each year and month between 1965 and 2011. However, for some years the solid precipitation ratio could not be calculated due to missing monthly precipitation measurements. Note that air temperature as well as precipitation measured at Rogers Pass was homogenized (Mekis et al., 2011; Vincent et al., 2012). Air temperature and precipitation measured at Mt. Fidelity was non-homogenized data. 2.2 Avalanche data The Avalanche Control Section at Glacier National Park systematically recorded avalanche observations since 1965 along the Trans Canada Highway within the park. Avalanches were observed roughly between Mt. Fidelity station and 10 km east of the Rogers Pass station a distance of about 30 kilometers from east to west. For this study we used all avalanches with a qualitative size of medium and large. The qualitative size (small, medium, large) is not a standard observation and was introduced by the Avalanche Control Section at Rogers Pass. It represents the size of an avalanche in relation to maximum avalanche that can occur in the particular path where the avalanche was observed. A medium qualitative size avalanche at Rogers Pass can be classified as an avalanche with a destructive size (CAA, 2007) of about 2 to 3 depending on the size of the avalanche path. Avalanche classified as large might reach a destructive size of 3 to 4 also depending on the size of the avalanche path (Goodrich, personal communication, 2013). In addition to the size selection we only used avalanches triggered naturally or by explosives (artillery). This leaves a total number of 22,553 avalanches observed between 1965 and 2012 for the analysis, whereas 16,306 were classified as natural released avalanches (72%) and 6247 as avalanches triggered by explosives (28%). Figure 3: Change of the solid precipitation ratio per month for Rogers Pass (orange) and Mt. Fidelity (blue) between 1974 and 2003. Positive values indicate an increase and negative values a decrease of the monthly solid precipitation ratio. Trends were calculated based on a 10-year moving average. 1258

Figure 4: Maximum snow depth per year measured at Rogers Pass and Mt. Fidelity between 1969 and 2012. Dashed line shows the linear trend. The numbers indicate the trends over time between 1969 and 2012. 2.3 Manual snow cover observations Manual snow cover profiles recorded at Mt. Fidelity at a flat experimental site were used to assess whether or not early season rain crusts formed more often in recent years. Therefore manual profiles recorded in early December between 1959 and 2012 were searched for the presence and absence of crusts. For this study we define a crust as a distinct layer of smaller than 10 cm consisting of ice or melt-forms with a hardness of larger than 1 finger or a ram resistance of 400 N and higher (Fierz et al., 2009). 3 RESULTS 3.1 Air temperature The mean annual air temperature measured between 1908 and 2011 at Rogers Pass and measured between 1966 and 2011 at Mt. Fidelity is shown in Figure 1. During the last three decades (1982 to 2011) Rogers Pass and Mt. Fidelity show a similar linear increase of +0.7 C and +0.5 C, respectively. Trends for Rogers Pass and Mt. Fidelity were found to be not significant (Rogers Pass p-value = 0.12; Mt. Fidelity p-value = 0.29), but are comparable to the corresponding temperature increase for the Northern Hemisphere (Brohan et al., 2006; HadCRUT3, +0.44 C for 2011). The absolute temperature differences can be explained by elevation differences of the two stations, i.e. Rogers Pass 1340 m and Mt. Fidelity 1905 m, respectively. Monthly temperature trends for the period between 1982 and 2011 for each month Figure 5: Linear trends per month (October to May) of the mean snow depth for Rogers Pass (orange) and Mt. Fidelity (blue). Trends were calculated using a 10-year moving average over 44 years between 1969 and 2011. 1259

(October to September) for the stations Rogers Pass and Mt. Fidelity are shown in Figure 2. Both stations show similar trends, i.e. increasing trends for all months except for October and March at both stations. In addition, both stations show the strongest increase during the early winter month from November to January. These trends differ from the findings from the Alps where the largest warming was found from April to June. Trends were found to be significant (pvalue < 0.05) for most months except from March to May at both stations and October at Rogers Pass. 3.2 Precipitation Monthly trends (1974-2003) of the solid precipitation rate, i.e. the fraction of the solid precipitation of the total precipitation are shown in Figure 3. Note that a 10-year moving window was applied to the solid precipitation rate before the linear trends were calculated. Significant decreasing trends where found in November at Mt. Fidelity as well as for the month of March to May at both stations and tend to be stronger for Rogers Pass. Significant increasing trends of the solid precipitation ratio were found in October for both stations. Except for a slightly increasing trend in December at Mt. Fidelity all other trends either increasing or decreasing for both stations were found to be not significant (pvalue > 0.05). 3.3 Snow cover The maximum snow depth measured between 1969 and 2012 at Mt. Fidelity and Rogers Pass is shown in Figure 4. For the given period, there was a decrease of the maximum snow depth of 12.1 cm for Mt. Fidelity and 32.5 cm for Rogers Pass. Both linear trends were found to be not significant (Rogers Pass, p- value = 0.67; Mt. Fidelity, p-value = 0.07). However, the trends found are consistent with the observation that higher elevations are less affected by climate change compared to lower elevations. It is further consistent with the trends found for the monthly mean snow depth over the last four decades (Figure 5). Although most trends of the monthly mean snow depth found for Mt. Fidelity were not significant the monthly mean snow depth at Mt. Fidelity showed less change compared to the lower elevation station of Rogers Pass. Decreasing significant trends between 20 cm and 30 cm were found for this station. Both stations showed a significant increase of the mean snow depth in November. 3.4 Avalanches The frequency of natural avalanches with a qualitative size (Avalanche Control Section - Rogers Pass) of medium and large tended to decrease between 1966 and 2012, whereas the frequency of explosive controlled avalanches increased during the same period (Figure 6). When both trigger types are combined there is a slightly decreasing but nonsignificant trend. Trends for natural and explosive controlled avalanches were found to be significant (p-value = 0.04). A significant increase of naturally triggered avalanches was found for the winter months of January and March as well as a significant decrease of natural avalanche activity in February (Figure 7). Figure 6: Number of avalanches with a qualitative size of medium and large separated by natural avalanches (blue) and explosive triggered avalanches (orange) as well as both combined (All, black) per year. Smoothed lines are based on a 5-year moving average. Dashed line shows the linear trend. The numbers indicate the linear decrease or increase over time between 1966 and 2012, respectively. 1260

Figure 7: Linear trends (on 10-year average) for the number of natural avalanches per month (medium and large qualitative size, blue) as well as the monthly mean for the period between 1983 and 2012. Negative values (blue) indicate a decreasing trend, positive numbers an increasing trend of the frequency of natural avalanches. 4. DISCUSSION Increasing temperature trends were found for both stations and were found to be comparable with trends already found for the Northern Hemisphere (Brohan et al., 2006: HadCRUT3, +0.44 C for 2011). However, trends were found to be not significant, which is likely related to strong inter annual variations. Homogenized data were only available for the Rogers Pass station. However, the calculated trends were found to be the same when nonhomogenized data were used. A significant negative trend, i.e. more rain, was found for Mt. Fidelity in November. This likely explains the observation of practitioners who state that in recent years, the formation of early season rain crusts has increased. The analysis of manual snow profiles observed between 1959 and 2012 showed that early season rain crusts formed more often during the last two decades (Figure 8). A segmented linear regression showed a significant breakpoint in 1993. However, this finding might have an observation bias because practitioners realized these crusts as a problem and are therefore specifically looking for them. Significant increasing trends in October, i.e. more snow, does not conflict with the formation of these early season rain crusts since a homogeneous snow cover which covers the ground roughness is a prerequisite for the formation of a distinct early season rain crust. Mt. Fidelity showed no significant trends of the monthly mean snow depth between December and May, whereas Rogers Pass clearly showed decreasing trends for the same period. However, an increasing trend of the monthly mean snow depth was found for both stations for November. This might be related to the fact that warmer air can hold more moisture and hence intense early season storms could occur. However, this does not conflict with the formation of early season rain crust, since an early season rain crust requires snow on the ground prior to the rain event as stated above. Trends found for the avalanche activity seem to be inconclusive. This might be related to the avalanche control work done at Rogers Pass, which likely biased the data set. That means the found decreasing trend of natural avalanches might be a result of effective control work conducted at Rogers Pass, i.e. avalanches were triggered by explosives prior to a natural avalanche release. Tracz and Jamieson (2010) showed that deep slab avalanches (natural and artificially triggered) peak in January. In the present study we found significant increasing trends of avalanche activity in January and March. This might be related to the formation of early season rain crust, i.e. deep instabilities. 5 CONCLUSIONS An increase of the mean annual air temperature over the last three decades was found for the stations at Rogers Pass and Mt. Fidelity +0.5 C or +0.7 C, respectively. These trends are comparable to the increasing trends for the Northern Hemisphere. A significant decreasing trend of the solid precipitation rate, i.e. more rain, was found for Mt. Fidelity in November. The monthly mean snow depth showed significant decreasing trends for Rogers Pass especially for the late winter season. Mt. Fidelity showed no trends of the monthly mean snow depth, which is consistent with the fact 1261

Figure 8: Crust occurrence (Yes or No) derived from manual snow cover observations recorded between mid November and mid December from 1959 to 2012 in the near vicinity of the Mt. Fidelity study site. Dashed vertical line shows the location of the breakpoint (1993) derived from a segmented linear regression. that higher elevations are less affected by climate change. The warming and the trend towards more rain events during the early season likely favours the formation of early season rain crusts, which in turn are favouring more weaknesses deep in the snowpack and potentially more deep slab avalanches Significant trends of avalanche activity for Glacier National Park (Rogers Pass), BC, Canada could not be found. This could be related to avalanche control work, which could have biased the analysed data, i.e. start zones were released by explosives before they released naturally. However, a trend towards more avalanches in January and March was found. If this increasing trend is related to the formation of early season rain crusts remains unknown at this point. ACKNOWLEDGEMENTS We gratefully acknowledge financial support from the Parks Canada Agency. Weather, snow cover and avalanche data were kindly provided by the Avalanche Control Section of Glacier National Park, BC, Canada. For stimulating discussions on the avalanche data, recording standards as well as for providing a practitioners view we would like to thank Jeff Goodrich (Glacier National Park, BC, Canada) and Bradford White (Banff National Park, AB, Canada). REFERENCES Brohan P., Kennedy, J.J., Harris, I., Tett, S.F.B., Jones, P.D., 2006. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. J. Geophy. Res.- Atmos. 111 (D12), http:// http://www.cru.uea.ac.uk/cru/data/tempe rature/hadcrut3-nh.dat Canadian Avalanche Association (CAA), 2007. Observation Guidelines and Recording Standards for Weather, Snow cover and Avalanches. Canadian Avalanche Association. Revelstoke, BC, Canada. Fierz, C., Armstrong, R. L., Durand, Y., Etchevers, P., Greene, E., McClung, D. M., Nishimura, K., Satyawali, P. K., Sokratov S. A., 2009. The International Classification for Seasonal Snow on the Ground. IHP Tech. Doc. in Hydrol. Ser., UNESCO-IHP, Paris. Fitzharris, B.B., Schaerer, P.A., 1980. Frequency of major avalanche winters. J. Glaciol., 26 (94), 43-52. Fitzharris BB (1987) A climatology of major avalanche winters in western Canada. Atmos. Ocean 25,115 136. Föhn P.M., 1992. Climatic change, snow-cover, and avalanches. Catena Suppl. 22,11 21. IPCC, 2007. IPCC (Intergovernmental Panel on Climate Change). Climate Change 2007: The Physical Science Basis. Cambridge, UK: Cambridge University Press, pp.18. Jamieson, B., Geldsetzer, T., Stethem, C., 2001. Forecasting for deep slab avalanches. Cold Reg. Sci. Technol. 33(2-3), 275-290. Jamieson, B., 2006. Formation of refrozen snowpack layers and their role in slab avalanche release. Reviews of Geophysics 44, RG2001. Laternser, M., Schneebeli M., 2002. Temporal 1262

trend and spatial distribution of avalanche activity during the last 50 years in Switzerland. Nat Hazards 27, 201 230. Marty, C. and Blanchet, J., 2011. Long-term changes in annual maximum snow depth and snowfall in Switzerland based on extreme value statistics. Climatic Change (July 2011), 1 17. Marty, C. and Meister R., 2012. Long-term snow and weather observations at Weissfluhjoch and its relation to other high-altitude observatories in the Alps. Theor. Appl. Climatol. DOI: 10.1007/s00704-012-0584-3. Mekis, É. and Vincent, L.A., 2011: An overview of the second generation adjusted daily precipitation dataset for trend analysis in Canada. Atmosphere-Ocean, 49 (2), 163-177. Schneebeli, M., Laternser, M., Ammann, W., 1997. Destructive snow avalanches and climate change in the Swiss Alps. Eclogae Geol. Helv. 90, 457 461. Tracz, D., and Jamieson, J.B., 2010. Characteristics of old-deep-slab avalanches. Proceedings of the 2010 International Snow Science Workshop, 17-22 October, 2010, Squaw Valley, CA, 148-154. Vincent, L. A., X. L. Wang, E. J. Milewska, H. Wan, F. Yang, and V. Swail, 2012. A second generation of homogenized Canadian monthly surface air temperature for climate trend analysis, J. Geophys. Res., 117, D18110, DOI:10.1029/2012JD017859. 1263