High temperatures remain relatively stable through the week, ranging from 64°F to 72°F. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 5 F above the historical average for November. Normal highs for this period are around 61 F with lows around 37 F.
1927 - Historic flooding occurred across Vermont from November 2nd through the 4th. The flood washed out 1285 bridges, miles of roads and railways, and several homes and buildings. Eighty-four people were killed from the flooding, including Lt. Governor S. Hollister Jackson.
More on this and other weather history
Night: Clear, with a low around 41. Northwest wind around 6 mph.
Day: Sunny, with a high near 64. Northwest wind 2 to 6 mph.
Night: Clear, with a low around 38. Southwest wind around 3 mph.
Day: Sunny, with a high near 72. Southwest wind 3 to 14 mph, with gusts as high as 28 mph.
Night: Mostly clear, with a low around 46. West wind 5 to 10 mph, with gusts as high as 20 mph.
Day: Sunny, with a high near 65.
Night: Mostly clear, with a low around 39.
Day: Mostly sunny, with a high near 67.
Night: A chance of rain after 7pm. Mostly cloudy, with a low around 50. Chance of precipitation is 30%.
Day: A chance of rain before 7am. Sunny, with a high near 70. Chance of precipitation is 30%.
Night: Mostly clear, with a low around 45.
Day: A slight chance of rain after 7am. Mostly sunny, with a high near 69.
Night: A slight chance of rain before 7pm. Partly cloudy, with a low around 40.
Day: Sunny, with a high near 54.
                  Mon's High Temperature
96 at 6 Miles West-southwest Of Glamis, CA and 2 Miles South Of Mohawk, AZ
Mon's Low Temperature
13 at 18 Miles West-southwest Of Dillon, MT
When boiling water more rapidly vanishes, expect rain.
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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.