Kuhgrabensee
- Annual mean
- 9.2 °C
- Warmest month
- July
- Wettest month
- July
Detailed seasonal metrics from representative point climatology for regional landscape analysis
This climate profile presents twelve-month averages for Am Stadtwaldsee (Uni-Wildnis) based on NASA POWER records from 1991 to 2020. Data points include mean, minimum, and maximum temperatures alongside precipitation rates, relative humidity, wind speed, and daylight hours. These values represent the long-term climatology at a single coordinate to assist in characterizing the local atmospheric environment.

Long-term monthly thermal ranges and average daily precipitation rates recorded across twelve months
Analyze average temperature bounds, daily precipitation rates, humidity, wind speed, and calculated daylight across the calendar year.
| Mean temperature | Precipitation | Humidity | Wind speed | Daylight | |
|---|---|---|---|---|---|
| January | 1 °C-9.1° to 9.6° | 2.3 mm/day | 93.5% | 5.8 m/s | 7.9 hours |
| February | 1.6 °C-7.7° to 10.9° | 1.9 mm/day | 90.7% | 5.5 m/s | 9.5 hours |
| March | 4.4 °C-4.6° to 16° | 1.7 mm/day | 85.7% | 5.3 m/s | 11.6 hours |
| April | 8.7 °C-1.9° to 21.1° | 1.4 mm/day | 80.2% | 4.5 m/s | 13.7 hours |
| May | 12.7 °C1.9° to 24.7° | 1.7 mm/day | 78.4% | 4.3 m/s | 15.6 hours |
| June | 15.8 °C6.4° to 27.7° | 2.2 mm/day | 78.4% | 4.2 m/s | 16.6 hours |
| July | 18 °C9° to 29.2° | 2.5 mm/day | 78.1% | 4.1 m/s | 16.1 hours |
| August | 17.8 °C8.8° to 29.3° | 2.3 mm/day | 78.5% | 4 m/s | 14.5 hours |
| September | 14.2 °C5.6° to 24.9° | 2.1 mm/day | 81.5% | 4.3 m/s | 12.4 hours |
| October | 9.6 °C0° to 19.9° | 2.1 mm/day | 87.2% | 4.8 m/s | 10.2 hours |
| November | 5 °C-3.1° to 14° | 2.1 mm/day | 93.1% | 4.9 m/s | 8.3 hours |
| December | 1.9 °C-6.9° to 10.3° | 2.4 mm/day | 94.5% | 5.4 m/s | 7.4 hours |
Examining long-term monthly averages for temperature, precipitation, wind, humidity, and daylight duration.
Interactive climate map
Visit the MoriAtlas climate map to compare long-term monthly temperature and precipitation metrics across national parks. This visual interface helps you understand seasonal variations at specific protected area coordinates to deepen your knowledge of global park geography and environmental characteristics.
Explore long-term monthly climate normals across diverse regional park landscapes





Continue your geographic discovery by examining the precise boundaries and landscape features of Am Stadtwaldsee (Uni-Wildnis). MoriAtlas provides a clear map and data profile for this unique nature reserve, helping you understand how secondary habitats shape the terrain of Bremen. Analyze the pond networks and forest patches that define this urban refuge today.