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This week's forecast shows temperatures running 3°F below the historical average for October-November. Normal highs for this period are around 58°F with lows around 40°F.
1846 - Eighty-seven pioneers were trapped by early snows in the Sierra Nevada Mountains that piled five feet deep, with 30 to 40 foot drifts. Just 47 persons survived the "Donner Pass Tragedy".
More on this and other weather history
 
Day: Mostly cloudy, with a high near 55. West wind 16 to 26 mph, with gusts as high as 43 mph.
 
Night: Partly cloudy. Low around 45, with temperatures rising to around 47 overnight. West wind 15 to 26 mph, with gusts as high as 41 mph.
 
Day: Sunny. High near 55, with temperatures falling to around 53 in the afternoon. West wind 12 to 15 mph, with gusts as high as 25 mph.
 
Night: Partly cloudy, with a low around 41. Northwest wind 5 to 10 mph.
 
Day: Mostly sunny. High near 55, with temperatures falling to around 53 in the afternoon. West wind around 7 mph.
 
Night: Partly cloudy, with a low around 43.
 
Day: A slight chance of rain showers after 1pm. Partly sunny, with a high near 57.
 
Night: A chance of rain showers before 1am. Mostly cloudy, with a low around 46. Chance of precipitation is 40%.
 
Day: Sunny, with a high near 55.
 
Night: Mostly clear, with a low around 43.
 
Day: Mostly sunny, with a high near 55.
 
Night: A chance of rain showers after 7pm. Mostly cloudy, with a low around 48. Chance of precipitation is 30%.
 
Day: A chance of rain showers before 1pm. Mostly sunny, with a high near 55. Chance of precipitation is 30%.
 
Night: Partly cloudy, with a low around 40.
 
  Tarrytown
 (1.2 miles away)
Haverstraw
 (9.9 miles away)
 
Thu's High Temperature
98 at 2 Miles West Of Pala, CA and 6 Miles West-southwest Of Glamis, CA
Fri's Low Temperature
4 at Peter Sinks, UT

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.