1981 - Severe thunderstorms raked Phoenix, AZ, with heavy rain, high winds, and hail up to an inch and a half in diameter, for the second day in a row. Thunderstorms on the 1st deluged Phoenix with .68 inch of rain in five minutes, equalling their all-time record.
More on this and other weather history
Night: Mostly clear. Low around 46, with temperatures rising to around 48 overnight. South wind around 5 mph.
Day: Sunny, with a high near 84. Southwest wind around 5 mph.
Night: Partly cloudy, with a low around 55. Southwest wind 0 to 5 mph.
Day: Sunny, with a high near 85. Southwest wind 0 to 10 mph.
Night: Mostly clear, with a low around 57. Southwest wind 5 to 10 mph.
Day: Sunny, with a high near 83.
Night: Mostly clear, with a low around 59.
Day: A chance of rain showers after 8am. Mostly sunny, with a high near 75.
Night: A chance of rain showers before 8pm, then a chance of showers and thunderstorms. Mostly cloudy, with a low around 47.
Day: Rain showers likely. Mostly cloudy, with a high near 64.
Night: A chance of rain showers before 2am. Partly cloudy, with a low around 36.
Day: Mostly sunny, with a high near 57.
Night: Mostly clear, with a low around 31.
Day: Sunny, with a high near 60.
Wed's High Temperature
101 at Rio Grande Village, TX
Thu's Low Temperature
23 at Angel Fire, NM and Saranac Lake, NY
Mio ( MY-oh) is an unincorporated community and census-designated place (CDP) in Oscoda County in the U.S. state of Michigan. It is the county seat of Oscoda County. The population of the CDP was 1,690 at the 2020 census.
Mio is situated along the boundary between Mentor Township on the east, Big Creek Township on the west, and Elmer Township to the northwest. As an unincorporated community, Mio has no legal autonomy as an incorporated municipality.
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.