

Variable high temperatures through the week, ranging from 53°F to 69°F. Dry weather expected throughout the week.
This week's forecast shows temperatures running 6°F above the historical average for October-November. Normal highs for this period are around 57°F with lows around 32°F.
1987 - Thunderstorms over the San Joaquin Valley of California produced three-quarters of an inch of rain in thirty minutes at Placerville, and caused numerous power outages due to lightning. Rain began to diminish in the northeastern U.S., but some flooding continued in Vermont, eastern New York and northern New Jersey. One inch rains in Vermont clogged culverts and sewers with fallen leaves, resulting in erosion of dirt roads.
More on this and other weather history
Day: Haze after noon. Sunny, with a high near 53. North northeast wind around 3 mph.
Night: Haze. Mostly clear. Low around 28, with temperatures rising to around 30 overnight. East wind around 2 mph.
Day: Haze. Sunny, with a high near 63. East southeast wind around 2 mph.
Night: Haze before midnight. Mostly clear, with a low around 33. East northeast wind around 2 mph.
Day: Sunny, with a high near 62.
Night: Mostly cloudy, with a low around 35.
Day: Mostly sunny, with a high near 64.
Night: Partly cloudy, with a low around 36.
Day: Mostly sunny, with a high near 66.
Night: Mostly clear, with a low around 39.
Day: Sunny, with a high near 69.
Night: Mostly clear, with a low around 37.
Day: Mostly sunny, with a high near 67.
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

Genola ( jə-NOH-lə) is a town in Utah County, Utah, United States. It is part of the Provo–Orem metropolitan area. The population was 1,548 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.