Temperatures remain relatively stable through the week, ranging from 61°F to 73°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. Normal highs for this period are around 64°F with lows around 43°F.
1987 - Fifteen cities in the eastern U.S. reported record low temperatures for the date. Record lows included 34 degrees at Meridian MS, 28 degrees at Paducah KY, and 26 degrees at Beckley WV. Another surge of arctic air entered the north central U.S. bringing snow to parts of Wyoming and Colorado.
More on this and other weather history
Day: Mostly sunny, with a high near 68. Northeast wind 5 to 9 mph.
Night: Partly cloudy, with a low around 47. North wind 3 to 8 mph.
Day: Sunny, with a high near 71. North wind 5 to 10 mph.
Night: Mostly clear, with a low around 48. Northwest wind 3 to 9 mph.
Day: Mostly sunny, with a high near 64.
Night: Mostly clear, with a low around 39.
Day: Sunny, with a high near 61.
Night: Mostly clear, with a low around 37.
Day: Patchy frost before 9am. Sunny, with a high near 64.
Night: Mostly cloudy, with a low around 47.
Day: Mostly sunny, with a high near 73.
Night: Rain showers likely after 8pm. Mostly cloudy, with a low around 55. Chance of precipitation is 60%.
Day: Rain showers likely. Mostly cloudy, with a high near 66.
Sun's High Temperature
100 at Rio Grande Village, TX
Sun's Low Temperature
13 at 22 Miles Southwest Of Manila, UT
Sewickley is a borough in Allegheny County, Pennsylvania, United States. Located along the Ohio River 12 miles (19 km) northwest of Pittsburgh, it is a residential suburb in the Pittsburgh metropolitan area. The population was 3,907 at the 2020 census. The Sewickley Bridge crosses the Ohio River from Sewickley to Moon Township.
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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.