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This week's forecast shows temperatures running 2°F above the historical average for October-November. Normal highs for this period are around 62°F with lows around 39°F.
1950 - Unseasonably warm weather prevailed in the central U.S. for Halloween. The temperature soared to 83 degrees at Minneapolis MN, their warmest reading of record for so late in the season.
More on this and other weather history
 
Day: Mostly sunny. High near 63, with temperatures falling to around 61 in the afternoon. West wind 3 to 9 mph.
 
Night: A slight chance of rain after 1am. Cloudy. Low around 40, with temperatures rising to around 44 overnight. Wind chill values as low as 41. Northwest wind around 7 mph. Chance of precipitation is 20%.
 
Day: A slight chance of rain before 7am. Sunny. High near 53, with temperatures falling to around 51 in the afternoon. North wind 5 to 12 mph. Chance of precipitation is 20%.
 
Night: Widespread frost after midnight. Mostly clear, with a low around 31. Wind chill values as low as 31. Northwest wind 2 to 7 mph.
 
Day: Widespread frost before 8am. Sunny, with a high near 57. South wind 2 to 10 mph.
 
Night: Clear, with a low around 42.
 
Day: Sunny, with a high near 65.
 
Night: Partly cloudy, with a low around 44.
 
Day: Mostly sunny, with a high near 70.
 
Night: Mostly clear, with a low around 52.
 
Day: Sunny, with a high near 71.
 
Night: Mostly clear, with a low around 46.
 
Day: Sunny, with a high near 70.
 
Night: Partly cloudy, with a low around 54.
 
   
Thu's High Temperature
98 at 2 Miles West Of Pala, CA and 6 Miles West-southwest Of Glamis, CA
Fri's Low Temperature
4 at Peter Sinks, UT

Hepler is a city in Crawford County, Kansas, United States. As of the 2020 census, the population of the city was 90.
Content from Wikipedia, licensed under CC BY-SA 3.0.
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.