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Rule Golden Hour

Golden Hour Forecast for Tarn Hows, Lake District

Hawkshead, England, United Kingdom

Tarn Hows offers intimate water, mature trees and rounded fells, with paths, reeds and reflections creating compact compositions in mist or autumn color.

Currently

Real-time conditions
Low Cloud Cover100%
Mid Cloud Cover0%
High Cloud Cover0%
Sun Elevation-13.0° (Astronomical twilight)

Upcoming Opportunities

When all conditions match, PhotoWeather marks an opportunity window.

Times shown in Europe/London

No opportunities in the next 14 days

See which requirements block the most forecast hours below.

Most common blockers (95-hour forecast)

  • Golden Hour Potential100% of hours
  • Precipitation Chance97% of hours
  • Golden Hour79% of hours

How this forecast is evaluated

See which weather signals PhotoWeather uses to identify Golden Hour conditions across Lake District. The requirements and hourly values below show how those signals apply at Tarn Hows.

Explore Golden Hour conditions across Lake District →

Recorded match history

Completed PhotoWeather forecast matches recorded for this exact rule at Tarn Hows during the last 365 days.

Last 30 days
27
recorded matching windows · 71% average confidence
Last 90 days
52
recorded matching windows · 71% average confidence
Last 365 days
92
recorded matching windows · 73% average confidence
Most frequent recorded start hour

20:00 local time, shared by 20 of 92 matches recorded in the last 365 days.

Most represented month

April, with 25 of 92 matches recorded in the last 365 days.

These figures use completed PhotoWeather MatchEvent records from the previous 365 days only. They describe recorded forecast matches, not observations, climatological probability, or a guarantee of future conditions.

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95-hour requirements breakdown

When available, the detailed table below covers only the stated 95-hour horizon (typically 72–168 hours, depending on available hourly data). Opportunity records above span the next 14 days, so this table does not explain that entire 14-day period.

What passed or failed, hour by hour
0matching hours in the next 95 hours
AND logic: all conditions required
Meets requirement
Misses requirement
Time
Europe/London
Golden Hour
Any
Golden Hour Potential
≥ 80.0%
Precipitation Chance
≤ 5.0%
Visibility
≥ 1000.0m
Sat, Jul 25
03:0023%55%24134m
04:0084%82%24134m
05:0087%87%24134m
06:0086%91%24134m
07:0012%95%24134m
08:0014%92%24135m
09:0015%87%24134m
10:0017%82%24134m
11:0014%73%24135m
12:0018%65%9957m
13:0017%56%9867m
14:0014%79%587m
15:0017%59%578m
16:0017%39%499m
17:0017%39%416m
18:0014%39%24135m
19:0014%39%24135m
20:0067%75%24134m
21:0057%87%24135m
22:0023%99%24134m
23:0011%99%24134m
Sun, Jul 26
24:0011%99%24134m
01:0014%100%9933m
02:006%89%797m
03:007.5%79%617m
04:0030%69%252m
05:0028%76%321m
06:0029%83%733m
07:0011%90%10113m
08:0012%91%641m
09:0011%92%10057m
10:0011%93%10750m
11:0017%94%10876m
12:0011%94%4323m
13:0011%95%10823m
14:0014%64%12324m
15:0015%32%24135m
16:0015%0%24135m
17:0012%13%24135m
18:0012%26%24135m
19:0012%39%24134m
20:0069%31%24134m
21:0052%23%24134m
22:0024%15%24135m
23:0012%23%24134m
Mon, Jul 27
24:0012%31%24135m
01:0015%39%24134m
02:0015%53%24135m
03:0015%68%24135m
04:0053%82%24135m
05:0055%86%24134m
06:0055%90%24134m
07:0012%95%24134m
08:0011%84%24135m
09:0015%74%24135m
10:0018%64%24135m
11:0018%67%24134m
12:0020%71%24135m
13:0017%75%24134m
14:0020%77%24135m
15:0015%80%24135m
16:0015%82%24134m
17:0015%81%10260m
18:0012%79%9923m
19:0012%78%317m
20:0033%64%232m
21:0026%51%126m
22:0015%38%88m
23:009%37%85m
Tue, Jul 28
24:009%37%78m
01:009%37%93m
02:009%43%99m
03:009%50%100m
04:0028%56%120m
05:0024%68%170m
06:0024%80%417m
07:009%93%562m
08:009%80%8420m
09:0011%68%16277m
10:0011%56%24135m
11:0014%56%24135m
12:0013%56%24135m
13:0019%56%24135m
14:000%37%24135m
15:000%19%24135m
16:000%0%24135m
17:000%8.7%24135m
18:000%17%24135m
19:000%26%24135m
20:0053%24%24135m
21:0053%23%24135m
22:0015%21%24135m
23:000%19%24135m
Wed, Jul 29
24:000%18%24135m
01:000%17%24135m
How to read: colored cells show whether each predicate requirement is met; highlighted rows mean the full rule matched (an opportunity).

What does Golden Hour Potential mean?

Inputs that drive the score

This derived score summarizes multiple raw weather signals. The table below shows the supporting inputs hour by hour, so you can see what's pushing the score up or down.

Time
Europe/London
Golden Hour
High Clouds
%
Low Clouds
%
Mid-Level Clouds
%
Relative Humidity
%
Solar Elevation
°
Total Cloud Coverage
%
Wind Speed
m/s
Sun, Jul 26 Sunrise 05:13 Sunset 21:22
03:00
- 0% 100% 0% 99% -13° 100% 2m/s
04:00
- 0% 100% 0% 99% -8.5° 100% 2.3m/s
05:00
- 0% 100% 0% 97% -2.3° 100% 5.2m/s
06:00
- 0% 100% 0% 97% 5.1° 100% 4.6m/s
07:00
- 0% 100% 0% 97% 13° 100% 4.8m/s
08:00
- 0% 100% 0% 97% 22° 100% 4.5m/s
09:00
- 0% 100% 0% 96% 30° 100% 4.6m/s
10:00
- 2% 100% 0% 96% 39° 100% 4.8m/s
11:00
- 5% 100% 0% 94% 46° 100% 5.7m/s
12:00
- 0% 93% 0% 94% 52° 93% 6.7m/s
13:00
- 0% 87% 0% 87% 55° 87% 9.5m/s
14:00
- 1% 100% 0% 89% 54° 100% 8.9m/s
15:00
- 0% 100% 0% 90% 50° 100% 7.3m/s
16:00
- 0% 100% 0% 90% 43° 100% 6.9m/s
17:00
- 0% 100% 0% 90% 36° 100% 5.8m/s
18:00
- 0% 100% 0% 91% 27° 100% 5.5m/s
19:00
- 0% 97% 0% 89% 18° 97% 4.9m/s
20:00
- 0% 92% 0% 86% 9.9° 92% 4.5m/s
21:00
- 0% 97% 0% 83% 2.2° 97% 4.2m/s
22:00
- 0% 95% 0% 88% -5° 95% 2.4m/s
23:00
- 0% 100% 0% 86% -11° 100% 3m/s
Mon, Jul 27 Sunrise 05:13 Sunset 21:22
24:00
- 0% 89% 0% 90% -14° 89% 1.9m/s
01:00
- 3% 99% 0% 88% -16° 99% 3.1m/s
02:00
- 1% 100% 4% 91% -16° 100% 2.5m/s
03:00
- 0% 100% 4% 85% -13° 100% 3.5m/s
04:00
- 0% 100% 0% 90% -8.7° 100% 2.4m/s
05:00
- 0% 100% 3% 89% -2.5° 100% 2.3m/s
06:00
- 0% 100% 5% 91% 4.9° 100% 1.9m/s
07:00
- 0% 100% 5% 89% 13° 100% 2.1m/s
08:00
- 0% 100% 5% 87% 22° 100% 2.3m/s
09:00
- 4% 100% 0% 82% 30° 100% 3.1m/s
10:00
- 5% 100% 5% 80% 39° 100% 3.1m/s
11:00
- 1% 90% 7% 80% 46° 90% 4m/s
12:00
- 5% 89% 69% 80% 52° 89% 6.4m/s
13:00
- 5% 59% 91% 77% 55° 91% 6.5m/s
14:00
- 12% 94% 94% 74% 54° 97% 6.3m/s
15:00
- 5% 97% 90% 79% 50° 98% 3.7m/s
16:00
- 5% 100% 37% 86% 43° 100% 2.6m/s
17:00
- 5% 100% 59% 93% 35° 100% 2.5m/s
18:00
- 5% 100% 46% 97% 27° 100% 2.3m/s
19:00
- 12% 100% 5% 99% 18° 100% 2m/s
20:00
- 86% 100% 5% 99% 9.7° 100% 1.9m/s
21:00
- 5% 100% 5% 99% 100% 1.8m/s
22:00
- 36% 100% 15% 99% -5.2° 100% 2m/s
23:00
- 100% 100% 57% 99% -11° 100% 2m/s
Tue, Jul 28 Sunrise 05:15 Sunset 21:20
24:00
- 100% 100% 65% 99% -15° 100% 1.9m/s
01:00
- 100% 100% 46% 99% -16° 100% 1.8m/s
02:00
- 100% 100% 5% 99% -16° 100% 1.9m/s
03:00
- 100% 100% 51% 99% -13° 100% 1.9m/s
04:00
- 100% 100% 96% 99% -8.9° 100% 2.2m/s
05:00
- 100% 100% 100% 99% -2.7° 100% 2.2m/s
06:00
- 100% 100% 100% 99% 4.7° 100% 2.4m/s
07:00
- 86% 100% 99% 99% 13° 100% 2.6m/s
08:00
- 91% 100% 100% 99% 21° 100% 2.5m/s
09:00
- 58% 100% 57% 99% 30° 100% 2.5m/s
10:00
- 95% 100% 94% 99% 38° 100% 2.7m/s
11:00
- 95% 100% 79% 99% 46° 100% 3.2m/s
12:00
- 52% 80% 4% 96% 52° 80% 3.4m/s
13:00
- 4% 75% 25% 86% 54° 75% 4.1m/s
14:00
- 13% 50% 44% 89% 54° 77% 3.4m/s
15:00
- 22% 26% 64% 92% 50° 80% 2.7m/s
16:00
- 31% 1% 83% 95% 43° 83% 2m/s
17:00
- 48% 1% 88% 94% 35° 88% 2.2m/s
18:00
- 66% 1% 94% 93% 27° 94% 2.3m/s
19:00
- 83% 1% 99% 92% 18° 99% 2.4m/s
20:00
- 89% 1% 100% 91% 9.5° 100% 2.4m/s
21:00
- 94% 1% 100% 91% 1.8° 100% 2.3m/s
22:00
- 100% 2% 100% 90% -5.4° 100% 2.2m/s
23:00
- 96% 1% 68% 90% -11° 96% 2.1m/s
Wed, Jul 29 Sunrise 05:17 Sunset 21:18
24:00
- 93% 1% 37% 89% -15° 93% 2.1m/s
01:00
- 89% 0% 5% 88% -17° 89% 2m/s
02:00
- 61% 0% 3% 83% -16° 61% 2.3m/s
How to read: these inputs help produce the derived score; they are not requirements by themselves.

How this forecast is made

Opportunities are threshold-based signals: PhotoWeather checks whether forecast conditions match the rules for a photography scenario. They are planning guidance, not guarantees. Forecasts can change as new model runs arrive, and confidence generally decreases farther into the forecast horizon, so recheck conditions before travelling.

The weather forecast foundation comes through Open-Meteo , which aggregates models from weather agencies. PhotoWeather applies condition-specific thresholds and derived calculations; not every condition uses every model or data input.

Forecast generated

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