High temperatures start near 73°F, reaching 77°F before cooling to 52°F, then recovering to 52°F by week's end. Dry weather expected throughout the week.
This week's forecast shows temperatures running 2 F above the historical average for November. Normal highs for this period are around 66 F with lows around 41 F.
1927 - A great Vermont flood occurred. Tropical rains deluged the Green Mountain area of Vermont causing the worst flood in the history of the state. Torrential rains, up to 15 inches in the higher elevations, sent streams on a rampage devastating the Winooski Valley. Flooding claimed 200 lives and caused 40 million dollars damage. The town of Vernon reported 84 deaths. Flooding left up to eight to ten feet of water in downtown Montpelier VT.
More on this and other weather history
Night: Clear, with a low around 41. Southwest wind around 1 mph.
Day: Sunny, with a high near 73. Southwest wind 1 to 8 mph.
Night: Clear, with a low around 49. West wind 2 to 6 mph.
Day: Sunny, with a high near 70. Northeast wind 2 to 7 mph.
Night: Mostly clear, with a low around 45. East wind around 3 mph.
Day: Sunny, with a high near 74.
Night: Partly cloudy, with a low around 57.
Day: Mostly sunny, with a high near 77.
Night: Partly cloudy, with a low around 58.
Day: A slight chance of rain after 7am. Mostly sunny, with a high near 77.
Night: A slight chance of rain before 7pm. Mostly clear, with a low around 42.
Day: Sunny, with a high near 52.
Night: Mostly clear, with a low around 30.
Day: Sunny, with a high near 52.
Tue's High Temperature
95 at 16 Miles Southwest Of Tecopa, CA and 6 Miles West-southwest Of Glamis, CA
Tue's Low Temperature
15 at 4 Miles Northwest Of Grand Lake, CO
Bubbles over calm beds of water means rain is coming.
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.