⛳ Cold Ashby – Course Closure Forecast

Predictive model based on soil moisture dynamics, rainfall accumulation & seasonal drainage

Generated: 2026-02-26T18:55:07 | Model trained on 118 labelled days

Forecast Days
16
Predicted Open
0
Predicted Partial
10
Predicted Closed
6
Avg Closure Risk
53%
Best Day
2026-03-12
Train Accuracy
100%
Train κ
1.00
📅 Daily Forecast
Thursday 2026-02-26
⚠️ PARTIAL
Closure: 50% Moderate PARTIAL
🌡️ 8–12°C 🌧️ 6.8mm 💨 31km/h ☁️ 87%
💧 Balance: 44mm 📊 Sat: 98% 🔄 Net 7d: +5.7mm
Playability: 15/100 Overstone with Tez
Friday 2026-02-27
⚠️ PARTIAL
Closure: 52% Moderate PARTIAL
🌡️ 6–12°C 🌧️ 10.2mm 💨 23km/h ☁️ 100%
💧 Balance: 45mm 📊 Sat: 100% 🔄 Net 7d: +15.2mm
Playability: 10/100 Overstone with Tez
Saturday 2026-02-28
⚠️ CLOSED
Closure: 60% Moderate CLOSED
🌡️ 3–9°C 🌧️ 1.1mm 💨 17km/h ☁️ 72%
💧 Balance: 44mm 📊 Sat: 98% 🔄 Net 7d: +14.7mm
Playability: 26/100 Grim
Sunday 2026-03-01
⚠️ CLOSED
Closure: 58% Moderate CLOSED
🌡️ 5–12°C 🌧️ 3.0mm 💨 30km/h ☁️ 98%
💧 Balance: 45mm 📊 Sat: 100% 🔄 Net 7d: +16.8mm
Playability: 21/100 Grim
Monday 2026-03-02
⚠️ CLOSED
Closure: 57% Moderate CLOSED
🌡️ 5–11°C 🌧️ 3.3mm 💨 30km/h ☁️ 94%
💧 Balance: 45mm 📊 Sat: 100% 🔄 Net 7d: +17.9mm
Playability: 17/100 Overstone with Tez
Tuesday 2026-03-03
⚠️ CLOSED
Closure: 58% Moderate CLOSED
🌡️ 2–7°C 🌧️ 1.2mm 💨 29km/h ☁️ 69%
💧 Balance: 44mm 📊 Sat: 97% 🔄 Net 7d: +18.8mm
Playability: 6/100 Overstone with Tez
Wednesday 2026-03-04
🔶 CLOSED
Closure: 62% High CLOSED
🌡️ 2–10°C 🌧️ 0.4mm 💨 22km/h ☁️ 84%
💧 Balance: 42mm 📊 Sat: 93% 🔄 Net 7d: +19.4mm
Playability: 44/100 Playable
Thursday 2026-03-05
🔶 CLOSED
Closure: 60% High CLOSED
🌡️ 4–10°C 🌧️ 7.3mm 💨 23km/h ☁️ 100%
💧 Balance: 45mm 📊 Sat: 100% 🔄 Net 7d: +20.2mm
Playability: 15/100 Overstone with Tez
Friday 2026-03-06
⚠️ PARTIAL
Closure: 53% Moderate PARTIAL
🌡️ 1–8°C 🌧️ 0.5mm 💨 25km/h ☁️ 14%
💧 Balance: 43mm 📊 Sat: 95% 🔄 Net 7d: +9.4mm
Playability: 29/100 Grim
Saturday 2026-03-07
⚠️ PARTIAL
Closure: 54% Moderate PARTIAL
🌡️ 0–9°C 🌧️ 0.5mm 💨 18km/h ☁️ 66%
💧 Balance: 41mm 📊 Sat: 91% 🔄 Net 7d: +8.4mm
Playability: 48/100 Playable
Sunday 2026-03-08
⚠️ PARTIAL
Closure: 50% Moderate PARTIAL
🌡️ 2–9°C 🌧️ 0.1mm 💨 12km/h ☁️ 52%
💧 Balance: 38mm 📊 Sat: 85% 🔄 Net 7d: +4.9mm
Playability: 50/100 Playable
Monday 2026-03-09
⚠️ PARTIAL
Closure: 50% Moderate PARTIAL
🌡️ -0–10°C 🌧️ 0.0mm 💨 26km/h ☁️ 66%
💧 Balance: 36mm 📊 Sat: 81% 🔄 Net 7d: +1.6mm
Playability: 41/100 Playable
Tuesday 2026-03-10
⚠️ PARTIAL
Closure: 47% Moderate PARTIAL
🌡️ 3–12°C 🌧️ 0.0mm 💨 37km/h ☁️ 58%
💧 Balance: 34mm 📊 Sat: 74% 🔄 Net 7d: -0.2mm
Playability: 37/100 Grim
Wednesday 2026-03-11
⚠️ PARTIAL
Closure: 48% Moderate PARTIAL
🌡️ 2–9°C 🌧️ 1.8mm 💨 8km/h ☁️ 41%
💧 Balance: 34mm 📊 Sat: 74% 🔄 Net 7d: +1.4mm
Playability: 52/100 Playable
Thursday 2026-03-12
⚠️ PARTIAL
Closure: 46% Moderate PARTIAL
🌡️ -2–9°C 🌧️ 0.0mm 💨 31km/h ☁️ 30%
💧 Balance: 31mm 📊 Sat: 70% 🔄 Net 7d: -7.1mm
Playability: 48/100 Playable
Friday 2026-03-13
⚠️ PARTIAL
Closure: 50% Moderate PARTIAL
🌡️ -1–12°C 🌧️ 0.0mm 💨 28km/h ☁️ 44%
💧 Balance: 29mm 📊 Sat: 65% 🔄 Net 7d: -7.7mm
Playability: 56/100 Playable
🔬 What Drives Course Closure

Feature importance from the trained model — these are the weather/soil factors most predictive of Cold Ashby closing.

Closure Score Lag1
0.5846
Precip Max 3D
0.1092
Soil Moisture 28 To 100Cm Mean
0.0591
Precip Sum 28D
0.0273
Soil Moisture 7 To 28Cm Mean 7D Avg
0.0267
Day Of Year
0.0258
Precip Max 5D
0.0220
Soil Moisture 28 To 100Cm Mean 7D Avg
0.0213
Net Moisture 14D
0.0179
Daylight Hours
0.0176

Model: Histogram Gradient Boosted Regressor (ordinal: open → partial → closed)

Training data: 118 days (26 closed, 9 partial, 83 open)

Training fit: Accuracy 100% | κ 1.000 | R² 0.981

Cross-validation: 5-fold TimeSeriesSplit — R² -1.817 ± 0.170 (limited by seasonal data — improves with more winters)

Thresholds: OPEN < 0.40 | PARTIAL | 0.55 < CLOSED (auto-optimised)

Features: 25 selected from 71 candidates

Soil model: Clay bucket model (field capacity 45.0mm, drainage rate 0.03/day)

Note: Predictions improve significantly with more labelled closure data. Target: 60+ days for robust estimates.