| Weather Source |
If you are using Internet Explorer, this page requires at least version 8 or higher to properly display the information
Past Monthly Weather Data for Beallsville, MD [Maryland] ("Germantown")
: NOVEMBER, 1948 - 1953
All months for this station: JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
[Other Locations] Help
| Year | Lowest Temperature (F) | Highest Temperature (F) | Warmest Minimum Temperature (F) | Coldest Maximum Temperature (F) | Average Minimum Temperature (F) | Average Maximum Temperature (F) | Mean Temperature (F) | Total Precipitation (In) | Total Snowfall (In) | Max 24hr Precipitation (In) | Max 24hr Snowfall (In) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1953 | |||||||||||
| 1952 | 20 | 66 | 48 | 34 | 36.1 | 51.2 | 43.6 | 6.25 | 3.00 | 2.38 | 3.00 |
| 1951 | 17 | 70 | 46 | 33 | 31.2 | 50.9 | 41.1 | 4.79 | 0.00 | 1.49 | 0.00 |
| 1950 | 12 | 86 | 57 | 26 | 34.2 | 56.5 | 45.4 | 2.85 | 0.50 | 1.99 | 0.50 |
| 1949 | 18 | 74 | 45 | 38 | 34.0 | 56.9 | 45.5 | 1.31 | 0.00 | 0.85 | 0.00 |
| 1948 | 28 | 77 | 61 | 38 | 41.7 | 62.0 | 51.8 | 5.28 | 0.50 | 1.05 | 0.50 |
Data is for personal use only and is watermarked. Additional information on usage and accuracy.
NR = Not Reported. The official station did not report records for that time.
NR = Not Reported. The official station did not report records for that time.
| Station Details for: "Germantown" (Montgomery County) View Map | |
|---|---|
| Weather Source ID | 30663 |
| National Weather Service ID (NWS) | |
| NWS Cooperative Observer ID (COOP) | 183585 |
| International Civil Aviation Organization ID (ICAO) | |
| World Meteorological Organization ID (WMO) | |
| Latitude: 39.1667 Longitude: -77.3833 Elevation: 139.903m (458.998ft) | |
| Zip Code: 20839 | |
The Weather Warehouse provides a complete Weather history for over 10,000 official
National Weather Service (NWS/NOAA) government weather stations (one of the best offerings on the web). Past weather
data is available for some stations as far back as 1902. Clearly the quickest, easiest and
most reliable way to get the historical weather data you need.