Sharon Springs, KS Weather Forecast and Current Conditions
Current Conditions From Nearby Local Station
Feels Like 36°F
at
Point Forecast at a Glance
7-Day Temperature Trend
Week Ahead Summary
High temperatures drop from 80°F to a low of 50°F, then recover to 50°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 8°F above the historical average for November. Normal highs for this period are around 55°F with lows around 25°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.
Sharon Springs, KS 7 Day Weather Forecast Details
Friday Nov 14
Day: Sunny, with a high near 80. West wind around 5 mph becoming south in the afternoon.
Night: Mostly cloudy, with a low around 44. Southwest wind around 5 mph becoming northwest after midnight.
Saturday Nov 15
Day: Mostly sunny, with a high near 72. Northwest wind 5 to 15 mph becoming east in the afternoon.
Night: Partly cloudy, with a low around 40. South wind around 5 mph.
Sunday Nov 16
Day: Sunny, with a high near 68. South wind 5 to 15 mph.
Night: Mostly clear, with a low around 38.
Monday Nov 17
Day: Mostly sunny, with a high near 59.
Night: Partly cloudy, with a low around 28.
Tuesday Nov 18
Day: Partly sunny, with a high near 53.
Night: Mostly cloudy, with a low around 30.
Wednesday Nov 19
Day: A 20 percent chance of showers. Partly sunny, with a high near 56.
Night: A 30 percent chance of showers. Mostly cloudy, with a low around 32.
Thursday Nov 20
Day: A 20 percent chance of showers. Partly sunny, with a high near 50.
About Sharon Springs, KS
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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.