

 
     
     
     
     
     
     
    Variable high temperatures through the week, ranging from 44°F to 61°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 52°F with lows around 29°F.
1965 - Fort Lauderdale, FL, was deluged with 13.81 inches of rain, which brought their rainfall total for the month of October to an all-time record of 42.43 inches.
More on this and other weather history
 
Day: A slight chance of rain after 5pm. Partly sunny, with a high near 44. West northwest wind 10 to 20 mph, with gusts as high as 30 mph. Chance of precipitation is 20%.
 
Night: Mostly cloudy, with a low around 30. Northwest wind 10 to 15 mph.
 
Day: Partly sunny, with a high near 45. Northwest wind 5 to 10 mph.
 
Night: Partly cloudy, with a low around 29. Southwest wind 0 to 10 mph.
 
Day: Sunny, with a high near 59. South wind 10 to 15 mph, with gusts as high as 25 mph.
 
Night: Partly cloudy, with a low around 37.
 
Day: Sunny, with a high near 59.
 
Night: Mostly clear, with a low around 36.
 
Day: Mostly sunny, with a high near 60.
 
Night: Partly cloudy, with a low around 38.
 
Day: Sunny, with a high near 61.
 
Night: Partly cloudy, with a low around 35.
 
Day: Mostly sunny, with a high near 59.
 
   
Thu's High Temperature
98 at 2 Miles West Of Pala, CA and 6 Miles West-southwest Of Glamis, CA
Thu's Low Temperature
10 at 4 Miles Northwest Of Grand Lake, CO and 2 Miles Southwest Of Canyon Village, WY

Alcester is a city in northern Union County, South Dakota, United States. It is part of the Sioux City, IA–NE–SD Metropolitan Statistical Area. The population was 820 at the 2020 census.
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.