Variable high temperatures through the week, ranging from 54°F to 68°F. Dry weather expected throughout the week.
This week's forecast shows temperatures running 3°F below the historical average for October. Normal highs for this period are around 62°F with lows around 39°F.
1987 - A cold front brought rainshowers to parts of the central U.S., and ushered cool Canadian air into the Great Plains Region. Daytime highs were only in the 30s in North Dakota and eastern Montana.
More on this and other weather history
Day: Sunny. High near 61, with temperatures falling to around 59 in the afternoon. West northwest wind 13 to 17 mph, with gusts as high as 25 mph.
Night: Clear. Low around 42, with temperatures rising to around 44 overnight. South southwest wind 6 to 13 mph, with gusts as high as 20 mph.
Day: Mostly sunny. High near 68, with temperatures falling to around 64 in the afternoon. South southwest wind 14 to 21 mph, with gusts as high as 31 mph.
Night: Mostly clear, with a low around 44. West wind 13 to 17 mph, with gusts as high as 28 mph.
Day: Mostly sunny, with a high near 54. West northwest wind 18 to 25 mph, with gusts as high as 40 mph.
Night: Mostly clear, with a low around 36.
Day: Sunny, with a high near 58.
Night: Clear, with a low around 33.
Day: Sunny, with a high near 59.
Night: Mostly clear, with a low around 33.
Day: Mostly sunny, with a high near 58.
Night: Partly cloudy, with a low around 36.
Day: Mostly sunny, with a high near 58.
Night: Partly cloudy, with a low around 41.
Sat's High Temperature
100 at 2 Miles North Northeast Of La Puerta, TX
Sun's Low Temperature
18 at 4 Miles Northwest Of Grand Lake, CO and 20 Miles South-southeast Of Harrison, NE
Liscomb is a city in Marshall County, Iowa, United States. The population was 291 at the time of the 2020 census.
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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.