Tag Archives: avalanche warning

Avalanche Warnings in Switzerland Modified

Avalanche Warnings in Switzerland to be modified starting this winter. The SLF is enhancing the precision by subdividing the danger levels. It will indicate whether the danger is towards the bottom end, in the middle or towards the top end of the reported level.

The SLF (Swiss Institute for Avalanche Research) says the new system will provide “users with more precise information for assessing the risk”.

The five danger levels themselves remain unchanged.

The Avalanche Warnings in Switzerland will have subdivisions of the danger levels to indicate where the danger is in the level:

  • Towards the bottom end (-)
  • More or less in the middle (=)
  • Towards the top end (+)

This subdivision is only applied for dry avalanches, and only starting at Level 2.

The purpose is to make it easier for users to interpret the Avalanche Warnings in Switzerland correctly.

Other national avalanche forecasting bodies are watching the change closely.

Avalanche Warnings in Switzerland
Avalanche warning scale

The SLF explains the new situation in a series of questions and answers:

Why this change?

The SLF has been hearing calls for a more precise representation of the avalanche danger for several years.

For those who engage in snow sports, Level 3 in particular spans a very broad spectrum.

The avalanche forecasters likewise have been wanting to pinpoint the danger with greater precision for some time.

These wishes have now been satisfied with the introduction of the subdivisions.

Why not simply add a danger level?

Additional danger levels would not be feasible in the international arena and would serve little purpose in any case.

According to avalanche forecaster Kurt Winkler, “One advantage of the new system is that it takes findings of psychological research into account.”

The human brain cannot differentiate more than five to seven defined classes.

The danger levels, which are clearly defined, are already aligned with this understanding and are thus being retained.

The classification reflects logical and therefore slow thought processes.

But we can also determine, without any difficulty, a relative ranking within the individual classes.

We make subdivisions of this kind intuitively and thus quickly.

Does the new approach work in practice?

The SLF’s avalanche forecasters have already been allocating subdivisions to all danger assessments over a period of six winters, but has refrained from publishing them.

This large data set was then statistically analyzed in order to review the new approach.

The analysis clearly showed that the differences between the danger level forecast in the avalanche bulletin and the observations reported from the field are much smaller when the subdivision forms part of the picture as well.

In addition, a clear correlation was shown to exist with objectively measurable factors that play a role in the formation of avalanches.

From one subdivision to the next one above, for example, the frequency of whumpfing sounds and of avalanches triggered by people increases and the snowpack stability test results deteriorate.

Since the experimental series also demonstrated that subdividing the danger levels is dysfunctional in the case of wet snow avalanches, subdivisions are not being reported when the snow is wet.

Where the graphical reduction method is being applied, the subdivisions can be taken into account by entering the diagram on the left or right side of the column representing the danger level and then using the diagonal color code.

What is the target audience for the subdivisions and how can they be useful?

Everyone can benefit from the additional information which is provided.

“Those who wish to avoid the most dangerous situations on a given winter’s day can simply stay away from regions where the danger level is 3+ or higher, for instance, and instead either choose to visit a region where the danger is lower or even make other plans for the day,” explains Kurt Winkler.

The subdivisions can be used quantitatively as well.

The calculation of the avalanche risk on the website skitourenguru.ch, for example, takes them into account.

The subdivisions can also be useful when applying the graphical reduction method.

For an approximate assessment, the danger level can still be used in such cases.

Alternatively, based on the subdivision, the user can enter the diagram on the left or right side of the column representing the danger level and then use the diagonal colour code.

Can the new subdivisions be disregarded?

Although, as with any forecast, incorrect assessments are possible, evaluations show that the subdivisions reflect the danger more accurately as a rule.

Disregarding the subdivision bars access to additional information that would facilitate a better assessment of the risk.

“In any event, it is essential to continue taking the danger level seriously,” concludes Kurt Winkler.

“A 3-minus remains a level 3 and indicates ‘considerable avalanche danger’ – it is not to be taken lightly or treated as though it were a 2.”

Tajikistan Avalanche Early Warning System

Tajikistan Avalanche Early Warning System – A Life-Saving System. Georgia Tech engineering student Mirza Samnani volunteered over 1,000 hours to develop early warning systems for avalanches in Tajikistan.

Samnani hiked over 9,200 feet — three times — to install two weather stations in the village of Manem in Tajikistan. This project has the potential to affect more than 1 million people in hundreds of villages in the high mountainous regions of Central and South Asia including Tajikistan, Afghanistan, and Pakistan that are prone to avalanches every winter. It can also be scaled to other parts of the world where avalanches pose a high risk.

Samnani was contacted by a member of Madad, a nonprofit organization that works to save lives within communities that are vulnerable to climate change. The group came across his previous work building life-saving robots for a hospital in his hometown of Mumbai, India, during the pandemic. Seeing his love for helping others and his engineering skills, they invited Samnani to join Madad.

High mountain regions in Central Asia, Karakoram, Hindu-Kush, and the Himalayas are prone to snow avalanches. Their frequency and intensity are expected to increase due to atmospheric warming. The lack of a village-level avalanche early warning system poses a significant challenge in warning communities for timely action to avert disaster. Currently, local volunteers manage weather monitoring posts, where they manually track temperature, rainfall, and snow depth.

The early warning system Samnani worked on has seven different sensors. They monitor weather and environmental conditions, including wind speed and direction, atmospheric pressure, temperature, humidity, rainfall, snowfall, solar radiation from the sun, solar radiation absorbed from the ground, snow depth, and seismic activity. These conditions help calculate the snowpack parameters and, based on the trigger threshold, the algorithm determines when to disseminate an alert or warning about a Tajikistan Avalanche.

The project faced uncertainty because of the rough terrain as well as strict regulations and policies in the region. Even after extensive testing, communication and power issues occurred, but these problems ended up serving as learning opportunities that ultimately improved the Tajikistan Avalanche system.

“This project presented me with a unique opportunity to utilize my engineering skills to develop a system to predict the risk of an avalanche. In just 10 months our engineering team took this project from concept to installation. I am excited for the data that we will receive from these pilot units in the upcoming months. I plan to continue to work with this project and other important projects that will help improve the quality of life for people living in poor or dangerous conditions,” Samnani said.

Currently, he and the group are collecting and monitoring the data being received from each warning system tower and studying the integrity and performance of the towers. In the next few years, more of these stations will be deployed to cover more than 600 high-risk villages in central and south Asia and eventually will incorporate sirens and text and phone alerts.

Tajikistan Avalanche Project
Tajikistan Avalanche Project

Dec 01, 2022 — Atlanta, GA

Snow Avalanche blocks Manali-Atal Tunnel

Nov 30, 2020

MANALI: A snow avalanche on the Manali-Atal tunnel highway beyond the Solang valley blocked the highway for nearly one hour on Sunday evening. Border Roads Organization (BRO) cleared the avalanche debris, after which the highway was opened. Fortunately, there was no vehicular movement when the avalanche hit the highway.

Tourists are not being allowed to go towards Atal Tunnel as the area has received very heavy snow. Only local residents are being allowed to use the Tunnel.

Tourist movement in Solang valley is restricted. The area between Solang and Atal Tunnel is prone to avalanches. Avalanche control structures are proposed to be built at some high-risk zones but only two such structures have been built so far.

Snow and avalanche study establishment (SASE) issued avalanche warning for five districts of Himachal.

Snow Avalanche blocks Atal Tunnel
Snow Avalanche blocks Atal Tunnel

Avalanche Warning Issued

November 24, 2020

SRINAGAR: Following the adverse weather forecast on Monday and Tuesday, authorities on Sunday issued a snow avalanche warning for higher reaches in the Kashmir division.

An official of the Disaster Management Department said a medium danger avalanche warning will remain in force during the next few days in Kupwara district while low danger avalanche warning will remain in force in Baramulla, Anantnag, Kulgam, Bandipora and Ganderbal districts.

“People are advised to avoid unnecessary movement outside their homes while the warning remains in force,” the official said.

Avalanches have claimed human lives in much larger numbers in recent years than they used to in the past. Experts are blaming deforestation for the growing avalanche threat because once a mountain slope is bereft of its tree cover there is nothing to stop an avalanche once it starts rolling down the slope. (IANS)