

Cooling trend continues with high temperatures dropping from 58°F to 49°F. Some rain possible with at least 3 days showing precipitation chances of 20% or higher.
This week's forecast shows temperatures running 12°F above the historical average for November. Normal highs for this period are around 44°F with lows around 24°F.
1965 - Fort Lauderdale, FL, was deluged with 13.81 inches of rain, which brought their rainfall total for the month of October to an all-time record of 42.43 inches.
More on this and other weather history
Night: Mostly cloudy, with a low around 34. Southeast wind around 3 mph.
Day: Mostly sunny, with a high near 58. South wind 3 to 7 mph.
Night: Mostly clear, with a low around 40. South southeast wind 6 to 10 mph.
Day: Mostly sunny, with a high near 59. South southwest wind 10 to 15 mph, with gusts as high as 25 mph.
Night: Partly cloudy, with a low around 36. South wind 3 to 10 mph, with gusts as high as 21 mph.
Day: Mostly sunny, with a high near 59.
Night: Mostly cloudy, with a low around 42.
Day: Partly sunny, with a high near 55.
Night: Mostly cloudy, with a low around 39.
Day: A chance of rain showers after 5pm. Partly sunny, with a high near 59. Chance of precipitation is 40%.
Night: A chance of rain showers. Mostly cloudy, with a low around 40. Chance of precipitation is 50%.
Day: A chance of rain showers before 5pm. Partly sunny, with a high near 50. Chance of precipitation is 30%.
Night: A chance of rain showers after 11pm. Mostly cloudy, with a low around 37. Chance of precipitation is 30%.
Day: A chance of rain showers. Mostly cloudy, with a high near 49. Chance of precipitation is 30%.
Wed's High Temperature
103 at 2 Miles West Of Pala, CA
Thu's Low Temperature
12 at 4 Miles Northwest Of Grand Lake, CO and 2 Miles Southwest Of Canyon Village, WY

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.