Walchensee wind: forecast and measurements

30 days of forecast vs. what actually happened at the lake. Click a single day to see its details.

Last 30 days

Rule-based forecast (actually used)
ML-based forecast — logistic (experimental)
ML-based forecast — HistGradientBoosting (black-box model, experimental)
Actual measurements (session ≥ 1 h)
Tue Sep 22 Wed Oct 21
session (≥ 1 h ≥ 11 kt) marginal (≥ 1 h ≥ 8 kt) no wind no data thunderstorm (forecast rows: predicted · actual row: observed)

Oct 2, 2026

81106:0021:0010:17 · avg 8.3 kt · gust 11.9 kt10:49 · avg 8.4 kt · gust 10.8 kt10:59 · avg 7.8 kt · gust 10.3 kt11:09 · avg 8.4 kt · gust 10.3 kt11:19 · avg 8.6 kt · gust 10.3 kt11:29 · avg 7.8 kt · gust 10.8 kt11:39 · avg 7.8 kt · gust 10.3 kt11:49 · avg 8.2 kt · gust 11.9 kt11:59 · avg 8.5 kt · gust 10.8 kt12:09 · avg 8.6 kt · gust 11.9 kt12:19 · avg 9.1 kt · gust 11.9 kt12:29 · avg 9.3 kt · gust 11.9 kt12:39 · avg 9.7 kt · gust 11.9 kt12:49 · avg 10.0 kt · gust 13.0 kt12:59 · avg 10.0 kt · gust 11.9 kt13:09 · avg 9.6 kt · gust 11.9 kt13:19 · avg 9.9 kt · gust 11.9 kt13:29 · avg 10.0 kt · gust 11.9 kt13:39 · avg 10.3 kt · gust 13.0 kt13:49 · avg 10.1 kt · gust 13.0 kt13:59 · avg 10.4 kt · gust 13.5 kt14:09 · avg 10.4 kt · gust 11.9 kt14:19 · avg 10.4 kt · gust 11.9 kt14:29 · avg 10.6 kt · gust 13.0 kt14:39 · avg 10.5 kt · gust 13.0 kt14:49 · avg 9.5 kt · gust 13.0 kt14:59 · avg 9.6 kt · gust 13.0 kt15:09 · avg 9.2 kt · gust 13.0 kt15:19 · avg 9.4 kt · gust 10.8 kt15:29 · avg 8.9 kt · gust 10.8 kt15:39 · avg 8.9 kt · gust 11.9 kt15:49 · avg 9.0 kt · gust 11.9 kt15:59 · avg 8.2 kt · gust 10.8 kt16:09 · avg 8.2 kt · gust 10.8 kt16:19 · avg 8.1 kt · gust 11.9 kt16:29 · avg 7.4 kt · gust 10.8 kt16:39 · avg 8.4 kt · gust 10.8 kt16:49 · avg 9.3 kt · gust 10.8 kt16:59 · avg 10.0 kt · gust 13.0 kt17:09 · avg 9.1 kt · gust 11.9 kt17:19 · avg 9.0 kt · gust 13.0 kt17:29 · avg 8.9 kt · gust 11.9 kt17:39 · avg 8.6 kt · gust 10.8 kt17:46 · avg 8.5 kt · gust 10.8 kt
avg wind gust ignition (8 kt) session (11 kt)
For Oct 2, 2026

NO GO

100% daytime cloud + only 110 W/m² solar — no insolation to drive a thermal

🤖 ML — logistic experimental NO GO GO 20% · MAYBE 27% · NO GO 52%

Strongest inputs — (+) Bolzano pressure; (−) morning solar, pressure Δ (thermik).

🤖 ML — HGB · black box experimental NO GO GO 3% · MAYBE 4% · NO GO 93%

Most distinctive inputs: morning solar, Innsbruck pressure, daytime cloud.

Experimental shadow models — they never drive the verdict. How good are they? →

Previous forecast method

How the day was forecast at the time, before the rules were recalibrated — shown for comparison only.