Bollettino valanghe

Waterton Lakes

Dec 28 – 31, 2020
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Archiviato · scaduto 6 years ago

Pericolo valanghe

Tue
Wed
Alta quota
2 · Moderato
Limite del bosco
2 · Moderato
Sotto il limite
1 · Debole

In sintesi

Good skiing can be found in sheltered areas, but uncertainty still surrounds deeper weak layers and they warrant a cautious approach. This is especially true as you leave the deeper snowpack immediately around Cameron Lake.

Problemi valanghivi

  • Wind Slabs

    • Alta quota
    • Limite del bosco
    • Sotto il limite del bosco
    Probabilità
    Possible
    Dimensione
    1–2

    Strong winds have stripped windward slopes and created windslabs in lee areas. This appears to be less of a problem at treeline and below in the area immediately around Cameron Lake.

  • Persistent Slabs

    • Alta quota
    • Limite del bosco
    • Sotto il limite del bosco
    Probabilità
    Unlikely
    Dimensione
    1.5–2.5

    Uncertainty still exists around the December 9 persistent weak layer in our region. It can be found down 30-80cm, and may respond to large triggers such as smaller avalanches or cornice failures in deeper areas, or humans in shallow areas.

Avalanche Summary

No avalanches observed on Sunday. On Saturday a larger avalanche was observed along the Akamina Parkway where either a windslab or cornice failure had stepped down to a midpack weak layer, likely the December 9 crust.

Weather Forecast

Monday: Cloudy with flurries, alpine high -7, light westerly winds

Tuesday: Mix of sun and cloud with isolated flurries. Similar wind and temperatures.

Wednesday: Similar weather to the previous days, with an inversion forming, and winds increasing.

Snowpack Summary

Snow depth is highly variable, with scoured windward slopes in the alpine, and windslab from SW winds. The Cameron Lake area has seen much less wind affect treeline and below. Dec 22 crust is down 5-20cm below 1900m, Dec 9 crust is not very prominent, down 20-80cm. The midpack is well consolidated with an ice crust forming the base of the snowpack.

Confidence

Due to the number of field observations

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