Variable high temperatures through the week, ranging from 55°F to 68°F. Some rain possible with at least 3 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 6 F above the historical average for November. Normal highs for this period are around 58 F with lows around 37 F.
1890 - The temperature at Los Angeles, CA, reached 96 degrees, a November record for 76 years.
More on this and other weather history
Day: Sunny. High near 68, with temperatures falling to around 61 in the afternoon. South wind around 5 mph.
Night: Clear, with a low around 51. Southeast wind around 3 mph.
Day: Sunny. High near 66, with temperatures falling to around 59 in the afternoon. South southeast wind around 6 mph.
Night: Rain showers likely after 4am. Partly cloudy, with a low around 50. South southeast wind 5 to 9 mph, with gusts as high as 24 mph. Chance of precipitation is 60%. New rainfall amounts between a quarter and half of an inch possible.
Day: Rain showers. Cloudy, with a high near 55. South southeast wind 7 to 13 mph, with gusts as high as 30 mph. Chance of precipitation is 90%.
Night: Rain showers likely before 4am. Mostly cloudy, with a low around 46. Chance of precipitation is 70%.
Day: Mostly sunny, with a high near 60.
Night: Mostly clear, with a low around 48.
Day: Mostly sunny, with a high near 63.
Night: Mostly clear, with a low around 50.
Day: Sunny, with a high near 66.
Night: Partly cloudy, with a low around 52.
Day: A slight chance of rain showers after 10am. Mostly sunny, with a high near 68.
Night: A chance of rain showers. Mostly cloudy, with a low around 52.
Sun's High Temperature
98 at 6 Miles West-southwest Of Glamis, CA
Mon's Low Temperature
14 at 18 Miles West-southwest Of Dillon, MT
Wild geese fly high in pleasant weather and fly low in bad weather.
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.