High temperatures remain relatively stable through the week, ranging from 70°F to 78°F. Dry weather expected throughout the week.
This week's forecast shows temperatures running 2°F below the historical average for October. Normal highs for this period are around 74°F with lows around 50°F.
1987 - Cold arctic air invaded the Upper Midwest, and squalls in the Lake Superior snowbelt produced heavy snow in eastern Ashland County and northern Iron County of Wisconsin. Totals ranged up to 18 inches at Mellen. In the western U.S., the record high of 69 degrees at Seattle WA was their twenty-fifth of the year, their highest number of record highs for any given year. Bakersfield CA reported a record 146 days in a row with daily highs 80 degrees or above.
More on this and other weather history
Day: Sunny, with a high near 72. Northwest wind around 6 mph.
Night: Clear, with a low around 45. South wind around 3 mph.
Day: Sunny, with a high near 78. Southwest wind 3 to 14 mph.
Night: Mostly clear, with a low around 49. West wind 5 to 13 mph.
Day: Sunny, with a high near 73.
Night: Clear, with a low around 42.
Day: Sunny, with a high near 72.
Night: Clear, with a low around 42.
Day: Sunny, with a high near 71.
Night: Partly cloudy, with a low around 45.
Day: Mostly sunny, with a high near 71.
Night: Mostly cloudy, with a low around 51.
Day: Partly sunny, with a high near 70.
Sun's High Temperature
101 at 2 Miles North Northeast Of La Puerta, TX
Sun's Low Temperature
17 at Daniel, WY
The city of Lancaster () is the county seat of Lancaster County, South Carolina, United States, located in the Charlotte Metropolitan Area. As of the United States Census of 2010, the city population was 8,526. The city was named after the famous House of Lancaster.
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.