Skip to main content
Log in

The Elements of Applied Avalanche Forecasting, Part I: The Human Issues

  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Avalanche forecasting has traditionally been defined from the perspective of a geophysical problem with respect to the state of stability of the snow cover. In thistwo-part treatise, avalanche forecasting is described in a broader sense by dividing it into seven inter-connected elements: I. definition; II. goal; III. human factors and perception; IV. reasoning process; V. information types and informational entropy; VI. scales in space and time; and VII. decision-making. Part I (this paper), contains the first four elements which are mostly about the human issues and Part II (the following paper) contains the last three elements, which are mostly about the physical issues, and some basic Rules of applied avalanche forecasting. A principal thesis is that all seven elements must be mastered for optimal avalanche forecasting. In addition to the seven elements, the connection to avalanche forecasting as an exercise in risk analysis is made. Inherent in the argument is that avalanche forecasting is a dynamic problem dealing with variations and interaction of a human (avalanche forecaster) and natural system (temporal and spatially varying state of instability of the snow cover). The primary result of the two papers is a first attempt to formally integrate human influences with a new interpretation of the geophysical problem. Since most avalanche accidents result from human errors, no description of avalanche forecasting is complete unless the human component is addressed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Adams, J.: 1995, Risk, University College London, London, 228 pp.

    Google Scholar 

  • Bader, H. P. and Salm, B.: 1990, On the mechanics of snow slab failure. Cold Regions Sci.and Tech. 17(3), 287-300.

    Google Scholar 

  • Bažant, Z. P. and Planas, J.: 1998, Fracture and Size Effect in Concrete and Other Quasibrittle Materials, CRC Press, Boca Raton, FL, pp. 616.

    Google Scholar 

  • Bruns, W.: 1997, Snow science and safety for the mountain guide. International Snow Science Workshop 1996, Canadian Avalanche Association, Revelstoke, BC, 203-206.

    Google Scholar 

  • Buser, O., Bütler, M., and Good, W.: 1987, Avalanche forecast by the nearest neighbour method, IAHS Publ. 162, 557-569.

    Google Scholar 

  • Dennis, A. and Moore, M.: 1997, Evolution of public avalanche information: the North American experience with danger rating levels. In: Proc.International Snow Science Workshop 1996, Canadian Avalanche Association, Revelstoke, B.C., Canada, 60-66.

    Google Scholar 

  • Föhn, P. M. B.: 1989. Snowcover stability tests and areal variability of snow strength. In: Proceedings of the International Snow Science Workshop, October 12-15, 1988, Whistler, B.C., Canada. Canadian Avalanche Association, Vancouver, B.C., 262-273.

    Google Scholar 

  • Fredston, J. and Fesler, D.: 1994, Snow Sense, Alaska Mountain Safety Center, Inc., Anchorage, AK, 115 pp.

    Google Scholar 

  • Haegeli, P. and McClung, D. M.: 2001, A new perspective on computer-aided avalanche forecasting: scale and scale issues. In: Proceedings: International Snow Science Workshop, Bozeman, Montana, October 2-6, 2000, 66-73.

    Google Scholar 

  • Jamieson, J. B. and Johnston, C. D.: 1992, Snowpack characteristics associated with avalanche accidents, Can.Geotech.Journ. 29, 862-866.

    Google Scholar 

  • Keylock, C., McClung, D., and Magnússon, M. M.: 1999. Avalanche risk mapping by simulation, J.Glaciol. 45(150), 303-314.

    Google Scholar 

  • LaChapelle, E. R.: 1980, The fundamental processes in conventional avalanche forecasting, J.Glaciol. 26(94), 75-84.

    Google Scholar 

  • Lee, K. N.: 1993, Compass and Gyroscope, Island Press, Washington, D.C., 244 pp.

    Google Scholar 

  • Makridakis, S. G.: 1990, Forecasting, Planning and Strategy for the 21st Century, The Free Press, New York, 293 pp.

    Google Scholar 

  • McClung, D. M.: 1979, Shear fracture precipitated by strain-softening as a mechanism of dry slab avalanche release, J.Geophys.Res. 84(B7), 3519-3526.

    Google Scholar 

  • McClung, D. M.: 1981, Fracture mechanical models of dry slab avalanche release, J.Geophys.Res. 86(B11), 10783-10790.

    Google Scholar 

  • McClung, D. M.: 1987. Mechanics of snow slab failure from a geotechnical perspective, IASH Publ. 162, 475-508.

    Google Scholar 

  • McClung, D. M.: 1995, Expert knowledge in avalanche forecasting, Defence Science Journal 45(2), 117-123.

    Google Scholar 

  • McClung, D. M.: 1996. Effects of temperature on fracture in dry slab avalanche release, J.Geophys.Res. 101(B10), 21907-21920.

    Google Scholar 

  • McClung, D. M.: 2000, Predictions in avalanche forecasting, Ann.Glaciol. 31, 377-381.

    Google Scholar 

  • McClung, D. M.: 2001, The elements of applied avalanche forecasting. Part II: the physical issues and the rules of applied avalanche forecasting, Natural Hazards 26, 131-146.

    Google Scholar 

  • McClung, D. M. and Tweedy, J.: 1994, Numerical avalanche prediction: Kootenay Pass, British Columbia, J.Glaciol. 40(135), 350-358.

    Google Scholar 

  • McClung, D. and Schaerer, P.: 1993, The Avalanche Handbook, The Mountaineers, Seattle, pp. 271.

    Google Scholar 

  • McClung, D. M. and Schweizer, J.: 1999. Skier triggering, snow temperatures and the stability index for dry slab avalanche initiation, J.Glaciol. 45(150), 190-200.

    Google Scholar 

  • Pearl, J.: 1988, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann Publishers, San Mateo, CA, 522 pp.

    Google Scholar 

  • Press, S. J.: 1989, Bayesian Statistics: Principles, Models and Applications, John Wiley & Sons. New York, 237 pp.

    Google Scholar 

  • Schweizer, J.: 1998, Laboratory experiments on shear failure of snow, Ann.Glaciol. 26, 97-102.

    Google Scholar 

  • Schweizer, J. and Föhn, P. M. B.: 1996, Avalanche forecasting-an expert system approach, J.Glaciol. 42(141), 318-332.

    Google Scholar 

  • White, G. F. (ed.): 1974, Natural Hazards: Local, National, Global, Oxford University Press, Oxford, UK.

    Google Scholar 

  • Wilde, G. J. S.: 1994, Target Risk, PDE Publications, Toronto, 234 pp.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

McClung, D.M. The Elements of Applied Avalanche Forecasting, Part I: The Human Issues. Natural Hazards 26, 111–129 (2002). https://doi.org/10.1023/A:1015665432221

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1015665432221

Navigation