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Rule Golden Hour

Kumarakom - Golden Hour - Kerala

Kumarakom, Kerala, India

That magical warm light just after sunrise or before sunset

No opportunities right now
Here’s what usually blocks matches

No Golden Hour opportunities in the next 14 days

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Rule requirements (key thresholds)
Golden Hour · Any Golden Hour Potential · ≥ 80.0% Precipitation Chance · ≤ 5.0% Visibility · ≥ 1000.0m

Tip: Scroll down to the 72-hour table to see exactly which condition fails hour by hour.

Most common blockers (next 72 hours)
Precipitation Chance 100% failing
Golden Hour Potential 99% failing
Golden Hour 83% failing

Currently

Real-time conditions
Low Cloud Cover0%
Mid Cloud Cover15%
High Cloud Cover100%
Sun Elevation-24.3° (Astronomical night)

Upcoming Opportunities

When all conditions match, PhotoWeather marks an opportunity window.

Times shown in Asia/Kolkata

No opportunities in the next 10 days

See the blocker timeline below to understand which conditions are preventing matches.

What this forecast looks for

Plain-language explanation from the rule

This forecast identifies optimal golden hour conditions for Kerala's diverse tropical landscapes—from Western Ghats tea plantations to palm-lined backwaters and Arabian Sea coastline. We track cloud cover, visibility, and atmospheric conditions to predict when warm directional light enhances the region's lush green hills, waterways, and historic coastal features.

Kerala's location on India's southwestern Malabar coast creates stunning sunrise and sunset opportunities. The Western Ghats mountain range running parallel to the coast provides dramatic highland golden hour scenes at Munnar and Wayanad, while the lowland backwaters and beaches offer classic tropical coastal light.

What makes Kerala golden-hour photography distinctive:

  • Tea plantation light - Munnar's rolling green tea estates glow emerald under low-angle sunrise, with mist often adding atmospheric layers
  • Backwater sunrise - Palm-fringed canals at Alleppey and Kumarakom reflect golden light, with traditional houseboats providing compositional elements
  • Coastal drama - Varkala's red laterite cliffs catch sunset light, while Kochi's Chinese fishing nets become silhouettes against Arabian Sea twilight
  • Highland mist - Western Ghats locations like Vagamon and Wayanad combine golden light with morning fog for magical conditions

Munnar's tea plantations at sunrise offer Kerala's most iconic golden hour photography—arrive at viewpoints overlooking rolling hills as dawn light transforms green tea bushes into glowing emerald waves, often with mist adding depth. Kochi's Chinese fishing nets along Fort Kochi waterfront become classic sunset silhouettes against orange skies. Varkala's dramatic cliffs receive gorgeous sunset light, with red laterite rock glowing warm while waves crash below. Alleppey's backwater canals reflect golden sunrise light perfectly on still mornings, with traditional houseboats and coconut palms creating quintessential Kerala scenes. Kumarakom on Vembanad Lake offers expansive water reflections during golden hour. The dry season (November-March) offers clearest golden hour conditions.

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72-hour requirements breakdown

What passed or failed, hour by hour
0matching hours in the next 79 hours
AND logic: all conditions required
Meets requirement
Misses requirement
Time
Asia/Kolkata
Golden Hour
Any
Golden Hour Potential
≥ 80.0%
Precipitation Chance
≤ 5.0%
Visibility
≥ 1000.0m
Mon, Jun 8
11:3021%100%11412m
12:3026%100%10361m
13:3024%100%7861m
14:3026%100%13188m
15:3030%100%10112m
16:3028%100%8246m
17:3052%100%6730m
18:3061%100%10024m
19:3030%100%6365m
20:3030%100%6715m
21:3027%100%8902m
22:3028%100%7289m
23:3022%100%20172m
Tue, Jun 9
24:3020%100%6715m
01:3026%100%6174m
02:3026%100%7052m
03:3027%100%20067m
04:3022%100%3015m
05:3039%100%3659m
06:3035%100%3085m
07:3016%100%19910m
08:3019%100%19853m
09:3015%100%3830m
10:3019%100%6506m
11:3018%100%5287m
12:3024%100%6709m
13:3029%99%6106m
14:3027%99%6799m
15:3029%99%7002m
16:3029%99%6464m
17:3072%100%20300m
18:3046%98%4109m
19:3028%97%3634m
20:3030%96%8632m
21:3032%97%24135m
22:3031%98%24135m
23:3030%98%22051m
Wed, Jun 10
24:3031%97%20279m
01:3030%96%19739m
02:3027%94%20242m
03:3027%94%20104m
04:3028%95%24134m
05:3063%95%24135m
06:3058%94%24134m
07:3020%92%22102m
08:3027%91%24134m
09:3022%93%9325m
10:3021%96%5028m
11:3029%98%24134m
12:3034%96%24134m
13:3037%95%10007m
14:3035%93%19918m
15:3032%94%24134m
16:3037%95%24135m
17:3075%96%10147m
18:3073%95%24134m
19:3031%94%24134m
20:3030%94%24135m
21:3031%95%24134m
22:3030%97%24135m
23:3030%99%24134m
Thu, Jun 11
24:3030%92%24135m
01:3030%85%24134m
02:3030%78%21791m
03:3030%83%21634m
04:3030%89%20585m
05:3058%94%24134m
06:3065%89%20988m
07:3016%84%17841m
08:3017%79%14695m
09:3017%85%17841m
10:3018%90%20988m
11:3016%95%24135m
12:3018%94%24135m
13:3018%94%24135m
14:3017%93%24135m
15:3017%95%24135m
16:3018%97%24135m
17:30100%99%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
Asia/Kolkata
Golden Hour
High Clouds
%
Low Clouds
%
Mid-Level Clouds
%
Relative Humidity
%
Total Cloud Coverage
%
Wind Speed
m/s
Mon, Jun 8 Sunrise 06:03 Sunset 18:43
20:30
- 100% 0% 15% 94% 100% 1.3m/s
21:30
- 100% 0% 5% 95% 100% 0.89m/s
22:30
- 100% 8% 22% 96% 100% 0.83m/s
23:30
- 100% 16% 72% 96% 100% 0.71m/s
Tue, Jun 9 Sunrise 06:03 Sunset 18:43
24:30
- 98% 22% 90% 97% 98% 0.51m/s
01:30
- 100% 22% 93% 97% 100% 0.31m/s
02:30
- 86% 22% 88% 97% 91% 0.37m/s
03:30
- 100% 21% 96% 97% 100% 0.18m/s
04:30
- 100% 23% 97% 97% 100% 0.1m/s
05:30
- 100% 40% 100% 97% 100% 0.19m/s
06:30
- 100% 35% 100% 97% 100% 0.12m/s
07:30
- 100% 40% 96% 96% 100% 0.42m/s
08:30
- 99% 24% 81% 95% 100% 0.68m/s
09:30
- 100% 18% 96% 90% 100% 1m/s
10:30
- 73% 5% 94% 85% 96% 2.7m/s
11:30
- 89% 21% 100% 82% 100% 3.3m/s
12:30
- 66% 19% 99% 80% 99% 3.5m/s
13:30
- 97% 9% 100% 81% 100% 3.4m/s
14:30
- 100% 4% 100% 84% 100% 3.1m/s
15:30
- 93% 5% 97% 86% 97% 2.8m/s
16:30
- 47% 4% 95% 88% 95% 2.6m/s
17:30
- 28% 4% 77% 89% 77% 2.8m/s
18:30
- 97% 2% 55% 90% 97% 3.1m/s
19:30
- 100% 1% 62% 92% 100% 2.9m/s
20:30
- 87% 0% 31% 92% 87% 2.4m/s
21:30
- 92% 1% 5% 93% 92% 1.7m/s
22:30
- 100% 7% 5% 94% 100% 0.97m/s
23:30
- 100% 10% 40% 95% 100% 0.79m/s
Wed, Jun 10 Sunrise 06:03 Sunset 18:43
24:30
- 100% 0% 5% 95% 100% 1m/s
01:30
- 100% 5% 19% 96% 100% 1.1m/s
02:30
- 100% 6% 53% 96% 100% 0.78m/s
03:30
- 100% 8% 46% 96% 100% 0.95m/s
04:30
- 93% 8% 12% 96% 93% 1m/s
05:30
- 77% 12% 61% 96% 77% 0.86m/s
06:30
- 79% 38% 48% 95% 79% 0.74m/s
07:30
- 98% 44% 14% 91% 98% 0.49m/s
08:30
- 34% 24% 13% 86% 37% 1.1m/s
09:30
- 62% 23% 32% 81% 63% 2.5m/s
10:30
- 79% 28% 67% 77% 85% 2.9m/s
11:30
- 63% 30% 7% 75% 63% 3.5m/s
12:30
- 5% 19% 10% 71% 23% 3.7m/s
13:30
- 13% 10% 5% 68% 17% 3.8m/s
14:30
- 49% 18% 5% 68% 49% 3.8m/s
15:30
- 69% 11% 8% 69% 69% 3.8m/s
16:30
- 14% 0% 27% 73% 30% 3.2m/s
17:30
- 68% 0% 44% 79% 71% 2.8m/s
18:30
- 37% 1% 78% 86% 78% 2.2m/s
19:30
- 65% 0% 91% 90% 91% 1.6m/s
20:30
- 99% 0% 87% 90% 99% 1.5m/s
21:30
- 69% 0% 63% 91% 69% 1.5m/s
22:30
- 100% 0% 34% 92% 100% 1.3m/s
23:30
- 100% 0% 68% 92% 100% 1.4m/s
Thu, Jun 11 Sunrise 06:03 Sunset 18:43
24:30
- 100% 1% 100% 93% 100% 1.3m/s
01:30
- 100% 10% 100% 93% 100% 1.2m/s
02:30
- 100% 6% 100% 93% 100% 0.93m/s
03:30
- 90% 4% 90% 92% 92% 0.98m/s
04:30
- 100% 8% 97% 93% 100% 0.78m/s
05:30
- 100% 0% 88% 93% 100% 0.93m/s
06:30
- 70% 7% 61% 84% 74% 1.7m/s
07:30
- 39% 15% 33% 74% 48% 2.5m/s
08:30
- 9% 22% 5% 65% 22% 3.3m/s
09:30
- 7% 15% 5% 67% 16% 3m/s
10:30
- 6% 8% 5% 70% 11% 2.6m/s
11:30
- 4% 1% 4% 72% 5% 2.3m/s
12:30
- 15% 2% 4% 77% 15% 2.1m/s
13:30
- 26% 2% 4% 82% 26% 1.9m/s
14:30
- 36% 2% 4% 87% 36% 1.6m/s
15:30
- 31% 2% 3% 88% 31% 1.4m/s
16:30
- 25% 1% 2% 89% 25% 1.1m/s
17:30
- 19% 0% 1% 89% 19% 0.85m/s
18:30
- 33% 0% 4% 90% 33% 0.74m/s
19:30
- 47% 1% 7% 91% 47% 0.64m/s
How to read: these inputs help produce the derived score; they are not requirements by themselves.

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