Mountain Ranch, CA Weather Forecast and Current Conditions
Current Conditions From Nearby Local Station
Feels Like 54°F
at
Point Forecast at a Glance
7-Day Temperature Trend
Week Ahead Summary
High temperatures remain relatively stable through the week, ranging from 58°F to 67°F. Dry weather expected throughout the week.
Climate Context
This week's forecast shows temperatures running 6°F above the historical average for November-December. Normal highs for this period are around 56°F with lows around 37°F.
This Date in Weather History
1987 - An early morning thunderstorm in southeastern Texas produced high winds which rolled a mobile home east of Bay City killing two of the four occupants. Thunderstorms produced locally heavy rains in central and eastern Texas, with nine inches reported at Huntsville, and 8.5 inches at Wimberly. Snow fell across northern and central Lower Michigan, with totals ranging up to nine inches at Cadillac.
Mountain Ranch, CA 7 Day Weather Forecast Details
Tuesday Nov 25
Night: Mostly clear, with a low around 46. Light east northeast wind.
Wednesday Nov 26
Day: Sunny, with a high near 65. Calm wind.
Night: Partly cloudy, with a low around 49. Light east northeast wind.
Thursday Nov 27
Day: Mostly sunny, with a high near 67. Calm wind.
Night: Mostly clear, with a low around 46. Calm wind.
Friday Nov 28
Day: Sunny, with a high near 61.
Night: Partly cloudy, with a low around 43.
Saturday Nov 29
Day: Mostly sunny, with a high near 60.
Night: Partly cloudy, with a low around 43.
Sunday Nov 30
Day: Sunny, with a high near 58.
Night: Partly cloudy, with a low around 42.
Monday Dec 1
Day: Sunny, with a high near 59.
Night: Mostly clear, with a low around 45.
Tuesday Dec 2
Day: Sunny, with a high near 61.
About Mountain Ranch, CA
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How We Provide Better Local Weather
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.