Golden Hour in Grasleben, Lower Saxony, Germany

· Europe/Berlin

Today's golden hour
Morning: 07:29 AM – 08:38 AM (69 min)
Evening: 05:21 PM – 06:30 PM (69 min)
Wednesday, October 21, 2026, local time
☀️ Tip: Golden hour here means the sun is between 4° below and 6° above the horizon. It starts shortly before sunrise and ends shortly after sunset, so it is not a fixed 60 minutes: its length depends on latitude and season.

Golden hour through the year

Approximate times on the 15th of each month, Europe/Berlin local time, including daylight saving time.

Golden hour in Grasleben, next 14 days

DateMorningEvening
07:29 AM – 08:38 AM 05:21 PM – 06:30 PM
07:31 AM – 08:40 AM 05:19 PM – 06:28 PM
07:33 AM – 08:42 AM 05:17 PM – 06:26 PM
07:34 AM – 08:44 AM 05:14 PM – 06:24 PM
06:36 AM – 07:46 AM 04:12 PM – 05:22 PM
06:38 AM – 07:48 AM 04:10 PM – 05:20 PM
06:39 AM – 07:50 AM 04:08 PM – 05:18 PM
06:41 AM – 07:52 AM 04:05 PM – 05:16 PM
06:43 AM – 07:54 AM 04:03 PM – 05:14 PM
06:45 AM – 07:56 AM 04:01 PM – 05:13 PM
06:46 AM – 07:59 AM 03:59 PM – 05:11 PM
06:48 AM – 08:01 AM 03:57 PM – 05:09 PM
06:50 AM – 08:03 AM 03:55 PM – 05:07 PM
06:52 AM – 08:05 AM 03:52 PM – 05:06 PM

Times in Europe/Berlin local time, calculated for 52.30638, 11.01465. A dash means the sun does not pass through the golden-hour band that day.

The golden hour in Grasleben occurs when the sun is low, so sunlight travels through more atmosphere and the light becomes warm and soft. See today's exact sunrise and sunset times for Grasleben, the blue hour and moon phase or the UV index in Grasleben.

About Grasleben

Located in Germany, the municipality of Grasleben is situated within the district of Helmstedt in the state of Lower Saxony. The area covers 11.3 square kilometres and sits at an elevation of 99 metres above sea level. As of 2025, the population is 2,256 residents. The local landscape includes the St. Norbert church building and the St. Maria church building. These two structures represent the notable features within the municipal boundaries of the locality.

AI-assisted description based on geographic data and editorial notes.