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Explainable Alpine intelligence

How SkiWeather reads the Alps

A transparent view of how weather, freezing level, precipitation, snow, altitude and live evidence become…

WeatherMulti-source
EvidenceLive + forecast
Vertical readLower · mid · upper
OutputExplainable
From evidence to decision support

One intelligence layer, several kinds of evidence

SkiWeather keeps short-lived mountain conditions separate from enduring resort characteristics. Forecasts and live observations explain what is happening now; terrain, altitude, orientation, scale and access explain what kind of mountain it is. The homepage combines these layers without letting one signal silently replace another.

01

Collect

Weather forecasts, snow reports, historical context, webcam evidence and resort metadata are ingested independently and timestamped.

02

Reconcile

Comparable sources are normalized into shared weather and snow signals. Freshness and source coverage remain visible in the confidence layer.

03

Separate

Live weather, snow state and structural resort personality remain distinct. A wet day does not redefine a resort; a high-altitude resort does not automatically get a good weather score.

04

Read vertically

Where the evidence exists, SkiWeather reads the explicit lower, middle and upper fresh-snow forecast first. Freezing level and precipitation then explain the phase and vertical split; they do not manufacture or overwrite the forecast snow amount. Temperature and existing snowpack are used for consequences such as thaw, freeze–thaw and rain-on-snow.

05

Connect

Regional rain–snow transitions are connected to resort choices. Precipitation probability is used as a gate: a thermal shift alone does not become a rain/snow watch when precipitation is unlikely.

06

Verify

Underlying condition tables, forecast maps and live webcams remain accessible so the interpretation can be checked against the evidence.

Confidence

Missing evidence lowers confidence — it does not become a negative score.

Season-aware: snow and vertical phase become more elaborate when winter evidence is present; summer remains weather-first.

Freshness-aware: stale evidence is not treated as equivalent to current evidence.

Performance-aware: public pages read prepared intelligence products; visitors do not trigger expensive graph rebuilds.

Adaptive: transition, rain-on-snow and vertical slope panels are only shown when the required evidence exists.

Traceable: the homepage links interpretation back to tables, maps, regional pages and webcams.