

High temperatures remain relatively stable through the week, ranging from 57°F to 64°F. Some rain possible with at least 3 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 56°F with lows around 38°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
Night: A slight chance of rain after 5am. Mostly cloudy, with a low around 52. East wind 5 to 9 mph. Chance of precipitation is 20%.
Day: A slight chance of rain before 10am. Partly sunny, with a high near 60. Southwest wind 3 to 8 mph. Chance of precipitation is 20%.
Night: Clear, with a low around 49. West wind 10 to 15 mph, with gusts as high as 25 mph.
Day: Sunny, with a high near 60. West wind 10 to 14 mph, with gusts as high as 21 mph.
Night: Mostly clear, with a low around 48. West wind 6 to 10 mph.
Day: Mostly sunny, with a high near 64.
Night: Partly cloudy, with a low around 50.
Day: Sunny, with a high near 58.
Night: Partly cloudy, with a low around 46.
Day: Partly sunny, with a high near 61.
Night: A chance of rain after 7pm. Mostly cloudy, with a low around 57. Chance of precipitation is 50%.
Day: A chance of rain before 7am. Mostly sunny, with a high near 64. Chance of precipitation is 40%.
Night: Partly cloudy, with a low around 51.
Day: A chance of rain after 7am. Partly sunny, with a high near 57.
North Point
(4.2 miles away)
Hawkins Point
(7.2 miles away)
Stony Creek
(8.7 miles away)
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

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.