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World of Science | ISSW 2016 Part 1

What happened at the world's largest snow and avalanche conference?

by Lea Hartl 12/17/2016
The International Snow Science Workshop (ISSW) takes place every two years, alternating between the USA, Canada and Europe. The last ISSW was held in Breckenridge, Colorado, in October 2016. The ISSW is the largest scientific conference on snow and avalanches and offers snow researchers from various disciplines the opportunity to get together. Over the next few weeks, we will be taking a closer look at the findings presented there. We start with some news on the topics of model chains, fracture mechanics and avalanche detection.

In contrast to many other conferences, the ISSW also provides interested laypeople with one or two exciting and understandable presentations. On the one hand, there is a lot of focus on highly technical topics such as avalanche dynamics, snowpack modeling and measurement technology, but on the other hand, winter sports practice is also increasingly being discussed. In the following, we summarize a few new insights of the more technical kind, while the more practical topics will be dealt with in separate articles in the near future. Many thanks at this point to the organizers of the Innsbruck Snow Table, especially to Christoph Mitterer and Sasha Bellaire, who were at the ISSW and told us about some interesting studies.

Model chains

Model chains are increasingly being used in avalanche and snowpack modelling. This means that different models are combined into one large construct and no longer just calculate individually.

For example, weather models are linked to snowpack models, for example to better predict the "liquid water content" (LWC) of the snowpack - an important factor in wet snow avalanches. To date, the SNOWPACK snowpack model has been fed with weather station data to calculate the LWC. By its very nature, however, the maximum that is possible is "nowcasting" - predicting something that has actually already happened or is about to happen. If you feed the snowpack model with high-resolution weather forecasts instead, you can predict the LWC for the future accordingly. Bellaire and his colleagues have tested whether and how well this works, with promising results that may make it easier to predict wet snow avalanches in the future.

(Study: Regional Forecasting of Wet Snow Avalanche Cycles: an Essential Tool for Avalanche Warning Services? Sascha Bellaire, Alec van Herwijnen, Christoph Mitterer, Nora Helbig, Tobias Jonas, Jürg Schweizer, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

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Another example of the great potential of model chains is a study on operational avalanche warning for the access road to a Chilean mine. The aim here is to provide those responsible with well-founded information on whether and when the road needs to be closed. It is important that they receive a product that can be interpreted intuitively, even from an office in the city. Three models are used for this: a snowpack model (again, the Swiss SNOWPACK) that calculates the stratigraphy, an additional module that displays the whole thing over a large area for the terrain on site (Alpine 3D) and an avalanche dynamics model that considers where the avalanche will move in the event of a runoff and how far it will travel (RAMMS). This model chain has already been successfully used in Chile - the first time a snowpack model has been combined with a dynamic model for operational forecasting.

(Study: Coupling Operational Snowcover Simulations With Avalanche Dynamics Calculations to Assess Avalanche Danger in High Altitude Mining Operations, Cesar Vera, Nander Wever, Perry Bartelt, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

Fracture Mechanics

There are always new approaches and considerations here too. Jürg Schweizer has summarized the current state of affairs for the ISSW and presented a conceptual model. A sequence of different fracture-mechanical processes is involved in the release of a slab avalanche: i) fracture initiation in a weak layer (under a bound layer) ii) start of fracture propagation iii) dynamic fracture propagation in the weak layer iv) tensile fracture. In recent years, much has been achieved in understanding the fracture mechanics of avalanches, thanks in part to the spread of the Propagation Saw Test (PST) for field surveys, the development of a new book model (anti-crack model) and the resulting discussions, as well as improved measurement techniques and advances in numerical modeling. Schweizer emphasizes, however, that there are still many open questions.

(Study: Avalanche Release 101, Jürg Schweizer, Benjamin Reuter, Alec van Herwijnen, Johan Gaume, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

Another study takes a closer look at the anti-crack model and the difficulty of reconciling theory and practice. In contrast to the classic idea of shear fracture, the anti-crack theory can conclusively explain the planar collapse of the weak layer (and thus the mechanics of remote releases). However, the theory also indicates that the slope inclination does not play a significant role in fracture propagation, which is not quite consistent with observations. In a new approach, the elasticity of the snowpack above the weak layer is now included. This results in a new way of calculating the critical length for the onset of crack propagation. This parameter measures how long the initial fracture must be for fracture propagation to occur. It is the distance that the snow saw is driven into the weak layer in a PST until a fracture occurs. With this method, the dependency of the critical length on the slope inclination is between the pure shear model (the steeper the PST, the less distance you have to cut for a break) and the anti-crack model (how far you have to cut with the PST is more or less independent of the slope inclination).

(Study: Critical Length for the Onset of Crack Propagation in Snow: Reconciling Shear and Collapse, Johan Gaume, Alec van Herwijnen, Guillaume Chambon, Nander Wever, Jürg Schweizer, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

Avalanche detection

A study from Norway deals with a sliding snow avalanche that occurs every year in the same place above a road. The road should of course be closed when the avalanche starts, but you don't want to close it for weeks because the avalanche might start. Deformations of rock faces are often measured using radar. This technique was also used for the Norwegian sliding snowmelt. In contrast to normal cameras, the radar sees how quickly the sliding snow crack opens up, even when it is dark or foggy. Before it leaves, the gliding snow mouth moves faster and faster and the radar measures this movement. This acceleration phase could be used to predict shortly beforehand that the gliding snow avalanche is about to go down (and the road can be closed).

(Study: Use of Ground Based INSAR Radar to Monitor Glide Avalanches, Ingrid Skrede, Lene Kristensen, Carlo Rivolta, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

Another radar system was used in Switzerland, on the access road to Zermatt. Here, two Doppler radar units monitor the slope above the road. If they detect movement in the slope (avalanche!), traffic lights linked to the system on the road to the left and right of the avalanche path switch to red. All avalanches that have occurred have been detected in this way, although there have been false alarms from time to time (e.g. when helicopters fly through the picture, which often happens in Zermatt). The observers on site are well attuned to the system and check within a few minutes whether an avalanche has actually occurred. If not, they switch the lights back to green. This system was presented for the first time in 2010 and was successfully put into operation last winter - a very rapid development from idea to completion.

(Study: Real-time Avalanche Detection with long-range, wide-angle radars for road safety in Zermatt, Switzerland, Lorenz Meier, Mylène Jacquemart, Bernhard Blattmann, and Bernhard Arnold, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

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Of course, it's not just individual avalanche tracks or sliding snow mouths that are of interest, but also the distribution of avalanches over larger regions. Radar images are also suitable here, but they have to be taken by a satellite. Using the freely available Sentinel data, over 700 avalanches were identified in two winters in the Tamokdalen area of Norway. From this, information can be obtained about which avalanche paths occur how often and when. In addition, such extensive data is important for verifying avalanche warning levels or modeled stability indices, for example.

(Study: Snow avalanche activity monitoring from space: creating a complete avalanche activity dataset for a Norwegian forecasting region. Markus Eckerstorfer, Hannah Vickers and Eirik Malnes, Proceedings, International Snow Science Workshop, Breckenridge, Colorado, 2016)

This article has been automatically translated by DeepL with subsequent editing. If you notice any spelling or grammatical errors or if the translation has lost its meaning, please write an e-mail to the editors.

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