Abstract

In public avalanche forecasts, avalanche danger is summarized using a five-level ordinal danger scale. However, in Switzerland - but also in other countries - on about 75% of the forecasting days, only two of the five danger levels are actually used, indicating a lack of refinement in the forecast danger level. A refined classification requires the forecasters to assess the avalanche danger in greater detail than the established danger levels. This leads to the fundamental question, whether a reasonable accuracy and consistency of refined danger ratings can be achieved at all. We address this question relying on a data set from Switzerland, where forecasters of the national avalanche warning service have refined the forecast danger level using three sub-levels (minus, neutral, plus) during four forecasting seasons. These sub-levels, which describe where within a danger level the danger was estimated, were not provided to the public. With the goal to assess whether the forecast sub-levels were better than a random assignment of sub-levels, we compared these forecasts with local nowcast estimates of avalanche danger, for days when two observers reported such an estimate (N= 1146), as ground truth. The agreement between the forecast regional danger level and the local danger level estimate was 81%, with a distinct over-forecast bias in cases when forecast and nowcast disagreed. This tendency towards over-forecasting also showed in a spatial and temporal context. Furthermore, some anomalies in the use of the sub-levels were noted, particularly for sub-level plus in combination with danger level 2-Moderate. Despite these anomalies, the forecast sub-levels were clearly better than a randomly assigned sub-level, resulting in a lower misclassification cost. Furthermore, in case of over-forecasting, the forecast sub-level was in 70% of the cases the sub-level closest to the local estimate, and thus the difference between forecast and nowcast danger level was likely less than one “full” danger level. This indicates that forecasters can often forecast avalanche danger at greater detail than the established danger levels, provided that relevant and reliable data is available in sufficient spatial and temporal density, and that the warning regions, the smallest spatial units used in the forecast are sufficiently small. Therefore, we argue, such refinements of the danger level should be made whenever possible, last but not least for an improved internal assessment of avalanche danger.

Highlights

  • Avalanche forecasts, providing avalanche warnings to the public, are issued in many snow-covered mountain regions

  • We present the results in two steps: To detect potential anomalies in the use of the sub-levels, we first explore the use of the danger levels and sub-levels in the forecasts in Section 4.1 by exploring overall distributions, temporal changes and spatial gradients in danger ratings between immediately neighboring warning regions

  • 3-plus was more often associated with natural avalanches (35%) than 3-minus (4%; Table 5). This indicates that forecasters, at least when working in a setup as is currently the case at the national warning service in Switzerland, can often refine avalanche danger at a higher resolution, by indicating the trend within the five ordinal danger levels

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Summary

Introduction

Avalanche forecasts, providing avalanche warnings to the public, are issued in many snow-covered mountain regions. An important component of these forecasts is the publication of a regional avalanche danger level DRF, assigned according to a five-level, ordinal danger scale (EAWS, 2018; Statham et al, 2010). The forecast danger level is a relevant parameter during the planning phase of back-country tours, and it is used in decision support tools for back-country recreationists DRF impacts the behaviour of recreationists undertaking tours in backcountry terrain (Furman et al, 2010), that is in terrain without organized avalanche mitigation. In Switzerland, the forecast danger level correlated highly with the avalanche risk of backcountry recreationists (Techel et al, 2015; Schmudlach et al, 2018). In some countries, as in Switzerland, risk-management authorities incorporate information provided in the forecast in their planning of risk mitigation measures

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