

Variable high temperatures through the week, ranging from 42°F to 56°F. Mostly dry conditions with only one day showing rain chances.
This week's forecast shows temperatures running 2°F above the historical average for October-November. Normal highs for this period are around 48°F with lows around 26°F.
1936 - The temperature at Layton, NJ, dipped to 9 above zero to establish a state record for the month of October.
More on this and other weather history
Day: Partly sunny, with a high near 50. Northwest wind 10 to 22 mph, with gusts as high as 31 mph.
Night: Mostly clear. Low around 25, with temperatures rising to around 28 overnight. North northwest wind 6 to 16 mph, with gusts as high as 25 mph.
Day: Sunny, with a high near 50. West wind around 6 mph.
Night: Mostly cloudy, with a low around 30. South wind around 8 mph.
Day: Mostly sunny, with a high near 52. West wind 8 to 21 mph, with gusts as high as 29 mph.
Night: Mostly cloudy, with a low around 30. Northwest wind 13 to 16 mph, with gusts as high as 24 mph.
Day: Mostly cloudy, with a high near 42. Northwest wind 14 to 18 mph, with gusts as high as 26 mph.
Night: Mostly cloudy, with a low around 24. North northwest wind 6 to 14 mph.
Day: Partly sunny, with a high near 45.
Night: A slight chance of rain after 7pm. Mostly cloudy, with a low around 31. Chance of precipitation is 20%.
Day: A slight chance of rain before noon. Mostly sunny, with a high near 56. Chance of precipitation is 20%.
Night: Partly cloudy, with a low around 32.
Day: Sunny, with a high near 52.
Mon's High Temperature
100 at Rio Grande Village, TX and 7 Miles East-southeast Of Hidalgo, TX
Mon's Low Temperature
14 at 29 Miles Northwest Of Sun Valley, ID

Artas is a town in Campbell County, South Dakota, United States. The population was 7 at 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.