

High temperatures drop from 84°F to a low of 61°F, then recover to 65°F by week's end. Dry weather expected throughout the week.
This week's forecast shows temperatures running 20°F above the historical average for November. Normal highs for this period are around 50°F with lows around 24°F.
1946 - A heavy wet snow began to cover the Southern Rockies. Up to three feet of snow blanketed the mountains of New Mexico, and a 31 inch snow at Denver CO caused roofs to collapse.
More on this and other weather history
Day: Sunny, with a high near 84. West southwest wind around 15 mph.
Night: Mostly clear, with a low around 39. West southwest wind 0 to 10 mph.
Day: Mostly sunny, with a high near 61. East southeast wind 0 to 5 mph.
Night: Mostly clear, with a low around 41. North northwest wind 5 to 15 mph.
Day: Sunny, with a high near 75. West wind 10 to 15 mph.
Night: Mostly clear, with a low around 43. West wind 10 to 15 mph.
Day: Sunny, with a high near 69. South wind 5 to 15 mph.
Night: Mostly clear, with a low around 41. West northwest wind 5 to 20 mph.
Day: Sunny, with a high near 70. West wind 15 to 20 mph, with gusts as high as 35 mph.
Night: Mostly clear, with a low around 36. West wind 10 to 15 mph.
Day: Sunny, with a high near 68. West southwest wind 10 to 15 mph.
Night: Mostly clear, with a low around 40. West wind around 15 mph.
Day: Sunny, with a high near 65. West wind 10 to 15 mph.
Night: Mostly clear, with a low around 33. Northwest wind 5 to 10 mph.
Sat's High Temperature
97 at 6 Miles West-southwest Of Glamis, CA
Sun's Low Temperature
13 at 4 Miles Northwest Of Grand Lake, CO

Williamsburg is a statutory town located in Fremont County, Colorado, United States. The town population was 731 at the 2020 census. The Florence post office (ZIP code 81226) serves Williamsburg.
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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.