

Warming trend through the week with high temperatures climbing from 50°F to 62°F. Mostly dry conditions with only one day showing rain chances.
This week's forecast shows temperatures running 3°F above the historical average for October-November. Normal highs for this period are around 51°F with lows around 30°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: Widespread fog before 11am, then a slight chance of rain between 11am and 1pm, then a chance of rain showers between 1pm and 2pm. Mostly cloudy, with a high near 50. West wind 0 to 10 mph. Chance of precipitation is 20%.
Night: Partly cloudy, with a low around 30. West northwest wind 5 to 10 mph.
Day: A chance of rain showers after 1pm. Partly sunny, with a high near 46. Northwest wind 10 to 15 mph, with gusts as high as 25 mph.
Night: A chance of rain showers before 7pm. Mostly cloudy, with a low around 29. Northwest wind 5 to 10 mph.
Day: Partly sunny, with a high near 46. North northwest wind 5 to 10 mph.
Night: Partly cloudy, with a low around 28.
Day: Sunny, with a high near 56.
Night: Mostly clear, with a low around 35.
Day: Sunny, with a high near 61.
Night: Mostly clear, with a low around 33.
Day: Mostly sunny, with a high near 60.
Night: Partly cloudy, with a low around 37.
Day: Mostly sunny, with a high near 62.
Wed's High Temperature
103 at 2 Miles West Of Pala, CA
Wed's Low Temperature
4 at Peter Sinks, UT and 4 Miles Northwest Of Grand Lake, CO and Climax, CO and Daniel, WY

Greenville is a city in Clay County, Iowa, United States. The population was 71 in the 2020 census, a decline from 93 in 2000.
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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.