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This week's forecast shows temperatures running 2°F above the historical average for October-November. Normal highs for this period are around 70°F with lows around 46°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: Sunny. High near 77, with temperatures falling to around 75 in the afternoon. North northwest wind 2 to 6 mph.
 
Night: Mostly clear. Low around 50, with temperatures rising to around 52 overnight. West wind around 2 mph.
 
Day: Sunny, with a high near 75. North wind around 5 mph.
 
Night: Mostly clear, with a low around 53. Northwest wind around 2 mph.
 
Day: Sunny, with a high near 78. North northwest wind 2 to 6 mph.
 
Night: Mostly clear, with a low around 53.
 
Day: Mostly sunny, with a high near 75.
 
Night: A slight chance of rain showers after 4am. Mostly cloudy, with a low around 54.
 
Day: A slight chance of rain showers. Mostly cloudy, with a high near 68.
 
Night: Rain showers likely. Mostly cloudy, with a low around 56.
 
Day: Rain showers. Mostly cloudy, with a high near 63.
 
Night: Rain showers likely. Mostly cloudy, with a low around 53.
 
Day: A slight chance of rain showers before 10am. Mostly sunny, with a high near 65.
 
Night: Partly cloudy, with a low around 51.
 
   
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

College City is a census-designated place in Colusa County, California. It lies at an elevation of 72 feet (22 m) above sea level. Its ZIP code is 95912, and its area code is 530. Its population was 292 at the 2020 census. Despite the name, there is currently no college in College City.
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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.