

Warming trend through the week with high temperatures climbing from 66°F to 77°F. Dry weather expected throughout the week.
This week's forecast shows temperatures running 3°F below the historical average for October-November. Normal highs for this period are around 74°F with lows around 49°F.
1947 - The Donora, PA, smog disaster finally came to an end. For five days an inversion trapped impurities in the lower atmosphere over the Monongahela Valley killing 20 persons, and leaving more than 2000 others sick.
More on this and other weather history
Day: Sunny. High near 66, with temperatures falling to around 64 in the afternoon. Northwest wind around 10 mph.
Night: Clear, with a low around 42. North wind 0 to 5 mph.
Day: Sunny. High near 70, with temperatures falling to around 67 in the afternoon. North wind 0 to 5 mph.
Night: Clear, with a low around 44. Northeast wind 0 to 5 mph.
Day: Mostly sunny, with a high near 72. East wind 0 to 5 mph.
Night: A slight chance of rain showers after 7pm. Partly cloudy, with a low around 47. North wind 0 to 5 mph. Chance of precipitation is 20%.
Day: Sunny, with a high near 67. North wind 5 to 10 mph.
Night: Mostly clear, with a low around 41. North wind around 5 mph.
Day: Sunny, with a high near 69. North wind around 5 mph.
Night: Clear, with a low around 43. North wind 0 to 5 mph.
Day: Sunny, with a high near 74. North wind around 5 mph.
Night: Clear, with a low around 45. North wind 0 to 5 mph.
Day: Sunny, with a high near 77. North wind 0 to 5 mph.
Night: Clear, with a low around 48. Northeast wind 0 to 5 mph.
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

Arcola is an unincorporated community in Tangipahoa Parish, Louisiana.
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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.