High temperatures remain relatively stable through the week, ranging from 53°F to 65°F. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 8°F above the historical average for November. Normal highs for this period are around 52°F with lows around 27°F.
1982 - Seven tornadoes touched down in southern California, three of which began as waterspouts. The waterspouts moved ashore at Point Mugu, Malibu, and Long Beach. The Long Beach tornado traveled inland ten miles causing much damage.
More on this and other weather history
Day: Sunny. High near 61, with temperatures falling to around 57 in the afternoon. South southwest wind around 2 mph.
Night: Mostly clear. Low around 29, with temperatures rising to around 32 overnight. Northeast wind around 2 mph.
Day: Sunny. High near 62, with temperatures falling to around 58 in the afternoon. South wind around 2 mph.
Night: Partly cloudy, with a low around 30. Southwest wind around 2 mph.
Day: Sunny, with a high near 62. Southwest wind around 2 mph.
Night: Partly cloudy, with a low around 31.
Day: Partly sunny, with a high near 62.
Night: Mostly cloudy, with a low around 33.
Day: Mostly sunny, with a high near 65.
Night: A chance of rain after 11pm. Mostly cloudy, with a low around 39.
Day: A chance of rain. Mostly cloudy, with a high near 56.
Night: A chance of rain before 8pm, then a chance of rain and snow between 8pm and 2am, then a chance of rain and snow between 2am and 5am. Mostly cloudy, with a low around 32.
Day: Mostly sunny, with a high near 53.
Night: Partly cloudy, with a low around 25.
Sat's High Temperature
99 at 2 Miles North-northeast Of Lapuerta, TX
Sun's Low Temperature
-4 at Tioga, ND
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.