Abstract

Abstract. Snow instability tests provide valuable information regarding the stability of the snowpack. Test results are key data used to prepare public avalanche forecasts. However, to include them into operational procedures, a quantitative interpretation scheme is needed. Whereas the interpretation of the rutschblock test (RB) is well established, a similar detailed classification for the extended column test (ECT) is lacking. Therefore, we develop a four-class stability interpretation scheme. Exploring a large data set of 1719 ECTs observed at 1226 sites, often performed together with a RB in the same snow pit, and corresponding slope stability information, we revisit the existing stability interpretations and suggest a more detailed classification. In addition, we consider the interpretation of cases when two ECTs were performed in the same snow pit. Our findings confirm previous research, namely that the crack propagation propensity is the most relevant ECT result and that the loading step required to initiate a crack is of secondary importance for stability assessment. The comparison with the RB showed that the ECT classifies slope stability less reliably than the RB. In some situations, performing a second ECT may be helpful when the first test did not indicate rather unstable or stable conditions. Finally, the data clearly show that false-unstable predictions of stability tests outnumber the correct-unstable predictions in an environment where overall unstable locations are rare.

Highlights

  • Gathering information about current snow instability is crucial when evaluating the avalanche situation

  • We explored a large data set of concurrent rutschblock test (RB) and extended column test (ECT) and related these to slope stability information

  • Our findings confirmed the well-known fact that crack propagation propensity, as observed with the ECT, is a key indicator relating to snow instability

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Summary

Introduction

Gathering information about current snow instability is crucial when evaluating the avalanche situation. Direct evidence of instability – as recent avalanches, shooting cracks or whumpf sounds – is often lacking. When such clear indications of instability are absent, snow instability tests are widely used to obtain information on the stability of the snowpack. Considerable experience in the selection of a representative and safe site is needed, and the interpretation of test results is challenging (Schweizer and Jamieson, 2010). Alternative approaches, such as interpreting snow micro-penetrometer signals (Reuter et al, 2015), are promising but not sufficiently established yet

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