Gage, OK Weather Forecast and Current Conditions
Current Conditions From Nearby Local Station
Feels Like 77°F
at
Point Forecast at a Glance
7-Day Temperature Trend
Week Ahead Summary
High temperatures drop from 85°F to a low of 63°F, then recover to 63°F by week's end. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
Climate Context
This week's forecast shows temperatures running 13°F above the historical average for November. Normal highs for this period are around 60°F with lows around 33°F.
This Date in Weather History
1986 - An early season cold wave set more than 200 records from the northwestern U.S. to the east coast over a seven day period. For some places it proved to be the coldest weather of the winter season.
Gage, OK 7 Day Weather Forecast Details
Friday Nov 14
Day: Sunny, with a high near 85. Calm wind becoming south around 6 mph.
Night: Mostly clear, with a low around 46. Southwest wind around 6 mph.
Saturday Nov 15
Day: Sunny, with a high near 78. West southwest wind 6 to 10 mph becoming north northeast in the afternoon.
Night: Mostly clear, with a low around 42. North wind around 6 mph becoming calm in the evening.
Sunday Nov 16
Day: Sunny, with a high near 71. Light and variable wind becoming east southeast 5 to 10 mph in the morning.
Night: Mostly clear, with a low around 47.
Monday Nov 17
Day: Sunny, with a high near 75.
Night: Mostly clear, with a low around 40.
Tuesday Nov 18
Day: Mostly sunny, with a high near 68.
Night: Mostly cloudy, with a low around 43.
Wednesday Nov 19
Day: A 20 percent chance of showers. Partly sunny, with a high near 70.
Night: A 30 percent chance of showers. Mostly cloudy, with a low around 47.
Thursday Nov 20
Day: A 40 percent chance of showers. Partly sunny, with a high near 63.
About Gage, OK
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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.