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)
Mon Oct 12 Tue Nov 10
session (≥ 1 h ≥ 11 kt) marginal (≥ 1 h ≥ 8 kt) no wind no data thunderstorm (forecast rows: predicted · actual row: observed)

Oct 29, 2026

81106:0021:0008:24 · avg 1.6 kt · gust 1.6 kt08:59 · avg 1.6 kt · gust 3.2 kt09:09 · avg 1.1 kt · gust 3.2 kt09:19 · avg 0.4 kt · gust 3.2 kt09:22 · avg 0.9 kt · gust 2.2 kt09:48 · avg 1.9 kt · gust 3.2 kt10:49 · avg 8.4 kt · gust 10.3 kt10:59 · avg 8.2 kt · gust 11.9 kt11:09 · avg 9.6 kt · gust 13.5 kt11:19 · avg 10.1 kt · gust 14.6 kt11:29 · avg 10.4 kt · gust 14.6 kt11:39 · avg 12.2 kt · gust 16.2 kt11:49 · avg 11.7 kt · gust 14.6 kt11:59 · avg 13.0 kt · gust 15.1 kt12:09 · avg 13.0 kt · gust 16.2 kt12:19 · avg 14.0 kt · gust 16.2 kt12:29 · avg 13.1 kt · gust 16.2 kt12:39 · avg 12.8 kt · gust 15.1 kt12:49 · avg 13.1 kt · gust 15.1 kt12:59 · avg 13.4 kt · gust 17.3 kt13:09 · avg 12.0 kt · gust 15.1 kt13:19 · avg 12.1 kt · gust 15.1 kt13:29 · avg 9.9 kt · gust 13.5 kt13:39 · avg 10.2 kt · gust 16.2 kt13:49 · avg 10.3 kt · gust 16.2 kt13:59 · avg 11.1 kt · gust 17.3 kt14:09 · avg 9.1 kt · gust 13.5 kt14:19 · avg 10.1 kt · gust 14.6 kt14:29 · avg 9.7 kt · gust 13.5 kt14:39 · avg 10.0 kt · gust 14.6 kt14:49 · avg 10.2 kt · gust 13.0 kt14:59 · avg 10.3 kt · gust 14.6 kt15:09 · avg 9.6 kt · gust 14.6 kt15:19 · avg 9.9 kt · gust 13.5 kt15:29 · avg 10.1 kt · gust 13.5 kt15:39 · avg 9.9 kt · gust 16.2 kt15:49 · avg 10.2 kt · gust 13.5 kt15:59 · avg 10.2 kt · gust 13.0 kt16:09 · avg 10.2 kt · gust 13.5 kt16:19 · avg 9.2 kt · gust 13.0 kt16:29 · avg 9.2 kt · gust 11.9 kt16:31 · avg 10.5 kt · gust 11.9 kt
avg wind gust ignition (8 kt) session (11 kt)
For Oct 29, 2026 · as written at the time

NO GO

86% daytime cloud + only 323 W/m² solar — no insolation to drive a thermal

🤖 ML — logistic experimental NO GO GO 20% · MAYBE 31% · NO GO 50%

Strongest inputs — (+) dew-point spread; (−) pressure Δ (thermik), morning solar.

🤖 ML — HGB · black box experimental NO GO GO 1% · MAYBE 1% · NO GO 99%

Most distinctive inputs: morning solar, Innsbruck pressure, Bolzano pressure.

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.