High temperatures start near 57°F, reaching 60°F before cooling to 33°F, then recovering to 50°F by week's end. Mostly dry conditions with only one day showing snow chances.
This week's forecast shows temperatures running 3 F above the historical average for November. Normal highs for this period are around 45 F with lows around 25 F.
1961 - Strong Santa Ana winds fanned the flames of the Bel Air and Brentwood fires in southern California destroying many homes. At 10 PM the Los Angeles Civic Center reported a temperature of 74 degrees along with a dew point of 5 degrees. On the 6th, Burbank reported a relative humidity of three percent.
More on this and other weather history
Day: Sunny. High near 57, with temperatures falling to around 52 in the afternoon. North northwest wind 7 to 20 mph, with gusts as high as 32 mph.
Night: Mostly clear. Low around 32, with temperatures rising to around 34 overnight. Southwest wind 2 to 10 mph.
Day: Mostly cloudy, with a high near 58. South wind 10 to 21 mph, with gusts as high as 33 mph.
Night: Mostly cloudy, with a low around 44. Southwest wind 9 to 14 mph, with gusts as high as 22 mph.
Day: Mostly sunny, with a high near 60.
Night: Partly cloudy, with a low around 31.
Day: Rain likely before 4pm, then rain and snow likely. Mostly cloudy, with a high near 42. Chance of precipitation is 60%.
Night: Mostly cloudy, with a low around 19.
Day: Mostly sunny, with a high near 33.
Night: Mostly clear, with a low around 17.
Day: Mostly sunny, with a high near 37.
Night: Partly cloudy, with a low around 22.
Day: Partly sunny, with a high near 50.
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
If the lark flies high, Expect fair weather.
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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.