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This week's forecast shows temperatures running 6°F above the historical average for October-November. Normal highs for this period are around 57°F with lows around 25°F.
1987 - Halloween was a wet one in the southwestern U.S. Heavy rain in southern California resulted in numerous mudslides. Weather-related auto accidents resulted in three deaths and twenty-five injuries. Mount Wilson CA received 3.14 inches of rain in 24 hours. Yakima WA reported measurable rainfall for the first time since the 18th of July. The 103 day long dry spell was their longest of record.
More on this and other weather history
 
Day: Partly sunny, with a high near 58. Southwest wind 5 to 15 mph.
 
Night: Mostly clear, with a low around 28. North wind 0 to 15 mph.
 
Day: Sunny. High near 58, with temperatures falling to around 54 in the afternoon. Northwest wind 0 to 10 mph.
 
Night: Mostly clear, with a low around 33. Southeast wind around 5 mph.
 
Day: Sunny, with a high near 67. Northwest wind 0 to 5 mph.
 
Night: Mostly clear, with a low around 37.
 
Day: Mostly sunny, with a high near 68.
 
Night: Partly cloudy, with a low around 35.
 
Day: Sunny, with a high near 63.
 
Night: Mostly clear, with a low around 33.
 
Day: Sunny, with a high near 65.
 
Night: Mostly clear, with a low around 34.
 
Day: Sunny, with a high near 62.
 
Night: Mostly clear, with a low around 28.
 
   
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

Chamisal is a census-designated place (CDP) in Taos County, New Mexico. It is located along the scenic High Road to Taos. The population was 301 at the time of the 2000 census. Chamisal was founded by settlers on the Las Trampas Land Grant which dates back to 1751.
Content from Wikipedia, licensed under CC BY-SA 3.0.
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.