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Can Solar Warming Contribute to Dry Slab Avalanches?

Posted By Administration, January 20, 2021

From volume 84, spring 2008

By Thomas Exner1 and Bruce Jamieson2
ASARC – Applied Snow and Avalanche Research, University of Calgary
1 Dept. of Geoscience, University of Calgary
2 Dept. of Civil Engineering, University of Calgary

 

Many people associate snow pack warming with spring-like conditions, when snow temperatures are close to 0°C and the likelihood of wet avalanches increases rapidly as soon as the sun softens up the melt-freeze-crust that often forms during cool nights. This is a common scenario in spring, when signs of warming, such as relatively warm air temperatures, strong solar radiation, and moist surface snow are easy to observe. But, what happens to a cold, dry snow pack that warms up significantly at air temperatures below zero?

In this article we discuss a few concepts of stability changes caused by daytime warming and summarise results from reported avalanches mainly caused by solar warming of a dry snowpack. These cases are quite rare, but under the right conditions warming can be the significant factor decreasing stability. According to a Swiss study (Harvey and Signorell, 2002) in 20% of 128 avalanche accidents in the Swiss Alps, daytime warming was the only factor contributing to avalanching. On those days no significant amount of new snow or recent wind loading was reported. Of course, maybe in some of those cases there may have been just a lingering instability, which could have been triggered by a skier regardless of the warming. However, the 20% suggest a significant correlation to the influence of warming.

 


Figure 1: Figure 1. This dry slab avalanche was triggered on a cold, sunny day by a skier on a steep south-west facing aspect. Solar warming may have contributed to this release. (photo: ASARC)


What are the sources of warming that can rapidly increase the temperature of near surface layers?
The main warming sources that effectively are able to increase avalanche danger are solar warming, rain, and warm, strong winds. Rain is probably the most efficient way of adding heat to the snowpack (Marshall and others, 1999). It destabilizes the snow pack in a short time, can penetrate down to deep layers, and affects all aspects. Luckily, mid-winter rain events are rare in alpine regions in most places in Western Canada. Warm, dry winds, such as the Chinook are known to cause rapid warming of the near surface layers and may reduce snow pack stability. But, these warm wind events are infrequent, except on the eastern slopes of the Canadian Rockies.

The most frequent cause of near surface warming seems to be direct solar radiation. It can warm up the upper layers of the snow pack rapidly within hours and affect the stability of the snowpack down to about 30 to 50 cm (McClung and Schaerer, 2006, p.38). By softening the surface layers, loads (e.g. skiers or snow boarders) may even affect deeper layers. Thin clouds may intensify the heating effect by trapping radiation between the snow pack and the clouds (greenhouse effect). 

The effect of time
Usually, warming of a dry snowpack is associated with increased settlement of the snow pack, and non-persistent (storm snow) weak layers are believed to be stabilizing under these conditions. This seems to be the case as long as the settlement happens slowly and gradually (McClung and Schweizer, 1996). Settlement and creep are always connected with a deformation of the snowpack, and snow as a material can adjust to slow changes in deformation without damage. However, fast deformation, as sometimes observed during rapid warming events, can result in collapse of the snow micro-structure (bonds are breaking faster than new bonds are forming), and a layered snowpack may release slab avalanches.

So, slow warming and settlement of the snowpack usually promotes stability. But, of course, there is an exception to this rule. Imagine for example a surface hoar layer, buried under a layer of low density snow with low cohesion (Fig. 2). No matter how hard a skier, boarder or snowmobiler hits this layer there is no slab to release. But with ongoing settlement, even when slow and gradual, the overlying layer(s) will increase in stiffness and density (become “slabby”). Now it may not take a lot to trigger and propagate a fracture in the surface hoar layer, and release a slab avalanche. This process requires a pre-existing persistent weak layer, such as the surface hoar layer.

In most cases when rapid solar warming, within a few hours or so, increases avalanche danger the slab/weak layer combination is mostly already like a “loaded gun.” The warming speeds up the creep of the slab on the weak layer just enough to possibly trigger a natural slab avalanche. Keep in mind we are still talking about a dry, sub-freezing snowpack. Once the snow surface starts to melt we are dealing with moist or wet point releases, which are a different story not addressed in this article. However, there are few cases where rapid solar warming significantly decreased stability, even though an obvious weak layer was not observed. The following section summarizes the conditions when this phenomenon was observed.

 

Figure 2. Even a prominent surface hoar layer with loose, low density snow on top is not releasable (left); neither by a skier nor as a natural avalanche. After the surface layer settles into a slab a fracture can propagate along the weak layer and release a slab avalanche (right). Daytime warming accelerates the settlement process and may act as a trigger.

Low density snow and rapid solar warming
According to the results of a survey conducted amongst 35 experienced avalanche practitioners in the fall of 2006, numerous reports of solar warming related avalanches followed a similar pattern. In all of these cases obvious signs of instability (shooting cracks, whumpfing and skier-triggered avalanches) developed during a short period of strong solar warming after the snow pack initially appeared to be stable and, interestingly, no obvious weak layer was observed initially. A few of these cases were reported by mechanised skiing operations, where a run was skied several times during the warming period. Snowpack observations ranged from no signs of instability on the first run to shooting cracks and triggered slabs within hours on the following runs. The following list summarises conditions, each of which were reported in a number of incidents.

  • East to south-east facing slopes (35-40°)

  • Air temperatures well below zero (in the -8° to -15°C range)
  • Clear skies, strong solar radiation in the morning hours in March or April
  • First sunny day after a storm
  • Cold, low density near surface layer
  • No signs of warming (snow surface still dry)
  • Initially stable snowpack, no obvious weak layers

We assume that rapid solar warming and settlement stiffened up the near-surface layer and so turned into a releasable slab (Fig. 3). A buried, subtle storm snow layer may have turned into a reactive sliding surface with the stiffening slab on top. With ongoing warming this temporary stage of instability probably stabilizes subsequently due to strengthening of the storm snow layer. Potentially, the interface of the warmer and denser layer overlying the still colder and less dense layer may have acted as the weak layer. Attempts to model this interface with a numerical snowpack model have been inconclusive so far. The idea of a storm snow layer becoming the reactive weak layer seems to be more likely.

 

Figure 3. A cold low density layer can settle in to a reactive slab within hours caused by strong solar radiation. A subtle storm snow layer or just the interface of the stiffer, warmer layer above the low density snow may become the weak layer.

 

We set out to track down these warming events and gather more detailed data over a limited number of days during the winter of 2006/07. So far, we have not been able to observe this phenomenon. Even when conditions seemed right, we only observed the settlement and stiffening of the surface layer but could not fi nd any signs of decreasing stability. So, what happened? It seems like this scenario is a complex interaction of many factors, such as warming rate, temperature range, snowpack properties, presence of an initially subtle weak layer, slope angle, aspect, and so on, which is so far poorly understood. In some of our observations some clouds may have delayed the warming or snow temperatures were too high, softening the slab and preventing propagation.

 

Nevertheless, the reported cases seem to suggest that solar radiation can temporarily promote slab avalanching without a pre-existing obvious weak layer. The case where an obvious persistent weak layer (e.g. surface hoar, rain crust), with a stiffening layer on top, turns into a reactive slab is a more common scenario and easier to recognise, even though experienced people have been surprised by it. Once the slab on such a layer has formed, unstable conditions can prevail for quite a while. In most of the cases reported here, the temporary stage of increased avalanche danger may just last for a few hours or so. The storm snow layers, or perhaps the interface gains strength quite rapidly with ongoing settlement and warming.

 

Other recent observations 

In this winter season of 2007/08, a number of natural slab avalanches released in January above ice climbs in the Rockies on steep sunny aspects. Most of these avalanches released in the first few days after a storm on a sunny day and air temperatures were well below zero. Usually, at this time of year it is quite uncommon that solar radiation releases slab avalanches. Perhaps the combination of the weak snowpack in the Rockies this winter and still sufficiently strong solar radiation on steep sunny aspects was a factor in releasing these avalanches. Given the weak, unstable snow pack even the low January sun provided enough warming to act as a trigger. In the spring time it is more common for avalanches above ice climbs to start as moist point releases and may eventually step down to a weak layer and release a slab avalanche.

 

Snowpack warming model – SWARM

Most of the above reported scenarios showed air temperatures well below the freezing point, and obvious clues such as a moist snow surface and snow balling were missing. Without many years of experience these warming conditions are hard to recognise and can easily be overlooked, but still can lead to a significant increase in avalanche danger. From field observations we know that only a few degrees difference in slope angle or aspect have a strong effect on the amount of heat the snow surface layers absorb. This winter for instance, we observed a sun crust on steep south-facing terrain above 40° or so on a cold day in January with air temperatures in the -15 to -20°C range. On parts of the slope with only a minor change in angle or aspect the snow surface was still dry.

 

Laura Bakermans, a former grad student with ASARC, developed a snow pack warming model (SWARM) based on extensive temperature measurements of near surface layers to evaluate the influence of solar radiation depending on slope angle, aspect and time of year (Bakermans, 2006). Of course, it is not only the amount of daytime warming possibly raising avalanche danger on warming days. There are many other contributing factors. However, solar daytime warming is often underestimated on cold days when signs of warming are not obvious. Experienced people may know through intuition, based on many years of experience, when warming effects come into play. SWARM may help to train your intuition and shorten this learning process. Hogarth (2001), in his book “Educating Intuition”, would describe avalanche terrain as a “wicked” learning environment, since feedback is not always immediate or obvious, and it can have high consequences. On days when warming may be an issue it is probably wise to leave a wider margin of safety. There is still a lot to learn about the interaction of daytime warming and slab avalanching. SWARM is freely available for download on the ASARC web page (http://www.schulich.ucalgary.ca/cgi-bin/ENG/TrackIt.pl?SWarm.xls). Feel free to contact us if you have any questions, suggestions or comments.

 

Acknowledgements

Many thanks to all guides and forecasters, who kindly shared their knowledge and experiences on warming-related avalanches.

 

References

Bakermans, L., B. Jamieson. 2006. Measuring near-surface snow temperatures changes over terrain. Proceedings of the International Snow Science Workshop in Telluride, Colorado, 377-386.

 

Harvey S., C. Signorell. 2002. Avalanche accidents in back country terrain of the Swiss alps: New investigations of a 30 year database. Proceedings of the International Snow and Science Workshop, Penticton, B.C. The Canadian Avalanche Association.

 

Hogarth, R.M. 2001. Educating intuition. The University of Chicago Press, Chicago, U.S.A., 357 pp.

 

Marshall H.P., H. Conway, L.A. Rasmussen. 1999. Snow densification during rain. Cold Regions Science and Technology, Volume 30, Issues 1-3, 35-46.

 

McClung, D.M. , J. Schweizer. 1996. Effect of snow temperatures on skier triggering of dry slab avalanches. Proceedings of the International Snow Science Workshop in Banff, Alberta. Canadian Avalanche Association, Revelstoke, BC, 113-117.

 

McClung, D.M., P.A. Schaerer. 2006. The Avalanche Handbook. The Mountaineers, Seattle, Washington, U.S.A., 342 pp.

Tags:  avalanche research  bruce jamieson  dry slab avalanches  solar warming  thomas exner 

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Propagation Saw Test

Posted By Alex Cooper, Canadian Avalanche Association, June 3, 2020

From volume 88, summer 2007-08

By Dave Gauthier and Dr. Bruce Jamieson

 

INTRODUCTION

 In 2003 Juerg Schweizer and others posed the following important questions for future research: How can field workers test for propagation propensity? Which properties of a slab and weak layer describe the fracture propagation propensity?

 

Photo 1: This is a size 3.0 avalanche that we triggered from a safe place 150 m away in February 2007. Propagation propensity was clearly very high here, and we didn’t need a field test to observe it!

 

In this article, we’re reporting on three years of work at the University of Calgary (ASARC) spent trying to answer the first question: How can we test for propagation propensity in the field? One of the main objectives of this work was to develop and verify a practical testing method, one that was intuitive, easy to do, easy to interpret, and could provide practitioners with specific information about the fracture propagation propensity of any slab-weak layer combination. Photo 1 shows a case of very high propagation propensity.

 

In recent years, we’ve seen some exciting advances towards addressing the propagation problem in field tests. Fracture character, shear quality, and release type observations are becoming widely used and accepted additions to the standard compression test (CT) and Rutschblock test (RB) results, and have been shown to relate to propagation propensity. At the 2006 ISSW, Ron Simenhois and Karl Birkeland presented their “extended column test” (ECT) as a new method specifically designed to investigate propagation propensity in the field. They presented an amazing dataset showing that the ECT was almost perfect in predicting skier and explosive triggered slab avalanches, and the method is already widely used by the American avalanche community.

 

Each of these new observations and methods use some sort of surface loading or impact (taps on a shovel or a jumping skier) to initiate weak layer fracture, which of course leads to the propagation of that fracture across the test column. Our approach to the problem was to design a test method that didn’t rely on fracture initiation by surface loading. This isn’t a criticism of the CT, RB, or ECT. In fact, we were mostly trying to find a way to separate fracture initiation and propagation in the test column, so that we could focus on the propagation part in our analysis.

 

We eventually settled on a method that uses an extended column design like the ECT, only oriented parallel to the fall-line, with the fracture initiated by gradually cutting into the weak layer with a regular snow saw. We’re calling it the “propagation saw test” (PST). Aside from making the analysis simpler—in that we could easily separate initiation and propagation in the test results—this method has a further advantage over the others in some cases. With no surface loading, we can test weak layers of any depth in the snowpack (i.e. Photo 2). Where the CT, RB, and ECT are limited to weak layers down 1.0-1.2 m, we have tested weak layers with up to three metre thick slabs. The limitation was only how much digging we were willing to do!

 

Before reading further, it’s important to remember that we’re not trying to reinvent slope scale instability assessments, or take experience and local knowledge out of avalanche forecasting and decision making. In fact, we’re not even trying to replace the CT, RB, ECT, or any other method in widespread use. We’re simply trying to provide one more tool to help practitioners answer a specific question about a specific part of the avalanche release problem: What will happen once a fracture is initiated in this weak layer? Will it propagate far and wide? What is the propagation propensity of this slab and weak layer combination?

 

Photo 2: The slab we tested here was over 150 cm thick, and results from testing on this flat terrain were almost perfectly reproducible on nearby slopes. The PST works with slabs of any thickness, but columns like these can take 30-45 minutes to prepare. The three metre thick ones take hours.

 

TEST METHOD

Terrain/Snowpack/Site Selection

Unlike almost every other instability test, the PST requires that the user choose a specific weak layer to test. Often, local knowledge, experience, or operational objectives determines the layer(s) of most interest for information about propagation propensity, especially for the deep ones. Other times, a fracture line profile, test profile or a CT or RB might identify a weak layer that warrants further investigation. As we already mentioned, there is no real limit to the slab thickness or depth of weak layer that can be tested with the PST, other than the time and effort required to excavate and prepare the test column. It can be very tricky to get a 3m tall column perfectly aligned and shaped to the correct width, and they can tip over and crush you if you aren’t careful.

 

In developing the PST we spent a lot of time in the field doing experiments to investigate the effects of several variables on test results. In terms of terrain and site selection, we could rarely detect the effect of slope angle on test results. Where there was some slope dependence, it was minor. This means that—spatial variability notwithstanding—we could do a test on the flats at the top of a slope, and get the same results as if we did the test right on the slope. This is an advantage in many cases where you can’t access the start zone safely, or don’t want to dig a huge pit in the middle of a run. Other than the freedom to test any slope angle, and apply the results to adjacent slopes, we recommend the same approach to site selection that you would use for other methods.

 

Test Columns

Figure 1 is a photo of a fully prepared test column. Like the ECT, we use an extended column design. However, in the PST the column is 30 cm wide across-slope, and 1 m long down-slope. The column must be isolated completely from the surrounding snowpack, to a depth below a weak layer of interest. Note that if the slab is thicker (vertically) than 1 m, the down-slope length of the column should be extended so that it is approximately equal to the slab thickness. A length-greater-than-height geometry is required.

 

We almost always used a Rutschblock cord and two probes to create the side wall and to isolate the column. It’s a good idea to highlight the weak layer with a soft paintbrush or the back of a glove. This makes it much easier to follow thin weak layers with the saw, and helps identify the softest parts of thicker layers.

 

Test Method

Once the column is isolated, insert a standard snow-saw completely into the weak layer at the down-slope end of the column, non-serrated edge first. Next, quickly drag the saw through the weak layer towards the upslope end of the column. At some point during the cutting, weak layer fracture will start propagating rapidly ahead of the saw. Stop cutting and keep the saw in place, and try to watch the very rapidly propagating fracture. One of three things will happen:

- the fracture will run all the way up the column to the upslope end and the slab will be completely detached; or

- the fracture will propagate a short distance and stop when the slab fractures (like a crown); or

- the fracture will propagate a short distance and seem to stop for no good reason.

 

The important observations for interpreting the results of the test are:

1. Did you cut more than half (> 50 cm) or less than half (< 50cm) of the test column when propagation started?

2. Did the fracture propagate the whole way across the column, or did it arrest within the column?

 

Our verification studies, described in the next section, showed that these two pieces of information (the amount of column that was cut and whether or not the fracture crossed the entire test column) are all you need to say something about the propagation propensity of the slab-weak layer combination.

 

Figure 1: Photo of a propagation test column showing the dimensions and cut direction. We usually prepare the side wall and isolate the column with a rutschblock cord and two probes. Make sure the column is completely isolated from the surrounding snowpack to a depth below the weak layer of interest.

 

VERIFICATION STUDIES

Method

One of the most difficult parts of this project was trying to figure out a way to “test the test.” The usual approach would be to ski-cut a slope and, based on the results, classify it as stable or unstable, and then compare the field test results with the ski-cut results. For this study, we needed to find a way to observe initiation and propagation separately, and then compare those observations to the field test results.

 

Of course, when a ski-cut resulted in an avalanche we could say for sure that we had fracture initiation and propagation. On the other hand, when the ski-cut didn’t result in an avalanche, we knew that a fracture hadn’t propagated, but in order to say anything about propagation propensity we needed to know whether or not we had initiated a fracture in the weak layer. If the ski-cut did fracture the weak layer, but it hadn’t propagated, we could say that there is low or no propagation propensity there. However, if there was no initiation we couldn’t say anything about propagation.

 

Our approach was to dig out the ski tracks in a few places whenever we had no result from a ski-cut, and take a good look at the weak layer to see if we could find evidence of fracture initiation around the skis. This way we had an objective observation of propagation propensity to compare with the test results. Photo 3 is an example of one case where we did find initiation, but not propagation.

 

Over the course of the 2007 field season, we made observations on 18 slopes with observed initiation and propagation, five with initiation but no propagation, and five with no initiation. Most of our results came from the 4 February 2007 weak layer, although we tested it in many locations around Blue River and Rogers Pass, where it was well-developed surface hoar, and around Kicking Horse Mountain Resort where it was a thin faceted layer.

 

Results

Propagation likely (if triggered): Our results showed that if less than half of the column was cut when propagation shot ahead of the saw, and the fracture propagated to the end of the isolated column without arrest, fractures—once initiated—were likely to propagate and cause a whumpf or avalanche. In our dataset this prediction was correct every time, provided the test column was the correct length.

 

Propagation unlikely (if triggered): If we had to cut more than half of the test column when propagation started, or if propagation arrested at slab fractures or for any other reason before reaching the end of the column, we found that weak layer fractures were unlikely to propagate once triggered. These predictions were correct 72% of the time in our dataset. This means that in 28% of cases where the test was predicting low or no propagation propensity, we were right next to skier-triggered avalanches or whumpfs. These “false stable” predictions are particularly dangerous, and it’s very important to understand where and when they might occur.

 

The false stable predictions in our dataset generally occurred in thinner and softer slabs than the correct predictions. In most of these cases the compression test and Rutschblock test predicted the unstable conditions correctly. Therefore, it’s very important to be cautious when interpreting the propagation saw test results in thin and soft slabs, especially soon after the weak layer is buried and the layer is just becoming active.

 

Comparisons

At each test site, we always did two or more compression tests and observed fracture character, usually did a Rutschblock test and observed release type, and always did a detailed profile and calculated Yellow Flags for the slab and weak layer. We then used the standard interpretation rules for predicting skier-triggering with these methods, and compared them to the predictions of the propagation saw test and our observations of initiation and propagation on the slope. We weren’t trying to determine which one is the best instability test, but we were trying to understand which one was giving the best information about the propagation part.

 

Our results showed that the propagation saw test was just slightly better overall, but had many more false stable predictions than the other methods. However, the standard methods had many more false unstable predictions. The standard methods often overestimate instability, because they are testing initiation and propagation, whereas the saw test captures the propagation part better. When we analyzed only the cases of observed initiation with and without propagation, the saw test performed better than the other methods, mainly because it was much better at predicting “no propagation” than the other methods. In a nutshell we found exactly what we hoped for: the propagation saw test is not a replacement for the more traditional instability tests, but it is providing some information about the propagation part of the avalanche release process that the other methods are missing.

 

One further advantage worth mentioning again here is that the propagation saw test works well for weak layers buried at any depth in the snowpack. The other methods are usually limited to the top 1 m or so, where they are very accurate and where human triggering is most likely. The saw test may be most useful for following a lingering layer long after burial and determining whether or not it is a still a concern, to help answer the “What will happen if I find a thin spot and trigger this layer?” question.

 

Photo 3: This is an example of excavated tracks from a ski cut where the skier did initiate a weak layer fracture beneath their skis, but the fracture didn’t propagate to release an avalanche. In this case the propagation propensity would be low, even though triggering was easy.

 

CONCLUSIONS

In summary, the Propagation Saw Test (PST) seems to be able to replicate propagation behaviour likely to be found on nearby slopes. Lots of fracture propagation in the test column, without arrest or interruption, means that propagation propensity is probably high in that snowpack. The test isn’t really providing any useful information about how easy or difficult it might be to initiate or trigger a weak layer fracture, but what might happen if it’s triggered. Remember to use caution interpreting the test results in thin or soft slabs, and that this test is only a tool to help answer a very specific question about the snowpack.

 

We hope that many professionals will give the PST a try this winter, and we welcome any feedback or comments from anyone. For more detailed information about this project, you can download Dave’s thesis from the ASARC Website (www.ucalgary.ca/asarc). Beware that reading it may result in severe boredom and drowsiness.

 

AUTHOR INFO

Dave Gauthier, Dept. of Civil Engineering, University of Calgary, davidmgauthier@gmail.com

Bruce Jamieson, Dept. of Civil Engineering, University of Calgary, bruce.jamieson@ucalgary.ca

Tags:  bruce jamieson  dave gauthier  propagation saw test  snowpack tests 

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