

High temperatures remain relatively stable through the week, ranging from 62°F to 69°F. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 7°F above the historical average for November. Normal highs for this period are around 57°F with lows around 33°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, with a high near 62. Southwest wind 3 to 8 mph.
Night: A chance of rain after midnight. Mostly cloudy, with a low around 42. West wind 1 to 5 mph. Chance of precipitation is 50%.
Day: A chance of rain. Partly sunny, with a high near 62. East wind 1 to 5 mph. Chance of precipitation is 30%.
Night: A slight chance of rain before 7pm. Mostly clear, with a low around 36. East wind around 3 mph. Chance of precipitation is 20%.
Day: Sunny, with a high near 62.
Night: Mostly clear, with a low around 36.
Day: Sunny, with a high near 62.
Night: Mostly clear, with a low around 39.
Day: Sunny, with a high near 69.
Night: Mostly clear, with a low around 42.
Day: Sunny, with a high near 63.
Night: Partly cloudy, with a low around 39.
Day: A chance of rain after 1pm. Mostly sunny, with a high near 69.
Wed's High Temperature
103 at 2 Miles West Of Pala, CA
Thu's Low Temperature
12 at 4 Miles Northwest Of Grand Lake, CO and 2 Miles Southwest Of Canyon Village, WY

Scott Depot is an unincorporated community in Putnam County, West Virginia, United States. Located along Crooked Creek, it is part of the census-designated place of Teays Valley, which is a part of the Huntington–Ashland metropolitan area. The ZIP code is 25560.
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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.