Maple Springs, NC Weather Forecast and Current Conditions
Current Conditions From Nearby Station
Feels Like 62°F
at
Point Forecast at a Glance
7-Day Temperature Trend
Week Ahead Summary
High temperatures remain relatively stable through the week, ranging from 63°F to 69°F. Unsettled weather expected with rain likely on at least 4 days.
Climate Context
This week's forecast shows temperatures running 8°F above the historical average for November. Normal highs for this period are around 58°F with lows around 34°F.
This Date in Weather History
1974 - A storm produced 15 inches of snow at the Buffalo, NY, airport, and 30 inches on the south shore of Lake Erie.
Maple Springs, NC 7 Day Weather Forecast Details
Friday Nov 14
Day: Sunny, with a high near 69. Calm wind becoming west around 5 mph in the afternoon.
Night: Mostly clear, with a low around 39. Calm wind.
Saturday Nov 15
Day: Mostly sunny, with a high near 68. Calm wind becoming west 5 to 7 mph in the afternoon.
Night: A 30 percent chance of showers, mainly after 3am. Increasing clouds, with a low around 53. West southwest wind around 6 mph, with gusts as high as 20 mph.
Sunday Nov 16
Day: Partly sunny, with a high near 64. West northwest wind 6 to 8 mph, with gusts as high as 18 mph.
Night: Mostly clear, with a low around 37.
Monday Nov 17
Day: Sunny, with a high near 64.
Night: Partly cloudy, with a low around 45.
Tuesday Nov 18
Day: A 40 percent chance of rain. Mostly cloudy, with a high near 66.
Night: A 40 percent chance of rain before 1am. Mostly cloudy, with a low around 51.
Wednesday Nov 19
Day: Mostly cloudy, with a high near 67.
Night: A 30 percent chance of rain. Mostly cloudy, with a low around 49.
Thursday Nov 20
Day: A 30 percent chance of rain. Mostly cloudy, with a high near 63.
How We Provide Better Local Weather
Current conditions: We use the nearest available station to your location - including professional MESONET/MADIS and local weather stations - often miles closer than regional airports.
Forecasts: National Weather Service point forecasts predict for your specific area, not broad regional zones, making them far more relevant to your location.