San Buenaventura, CA Weather Forecast and Current Conditions
Current Conditions From Nearby Local Station
Feels Like 57°F
at
Point Forecast at a Glance
7-Day Temperature Trend
Week Ahead Summary
Cooling trend continues with high temperatures dropping from 68°F to 57°F. Some rain possible with at least 2 days showing precipitation chances of 20% or higher.
Climate Context
This week's forecast shows temperatures running 4°F below the historical average for November-December. Normal highs for this period are around 69°F with lows around 44°F.
This Date in Weather History
1812 - Southwesterly winds of hurricane force sank ships and unroofed buildings at Philadelphia and New York City.
San Buenaventura, CA 7 Day Weather Forecast Details
Monday Nov 24
Night: Clear, with a low around 46. North wind around 5 mph.
Tuesday Nov 25
Day: Sunny, with a high near 68. North northeast wind 5 to 10 mph becoming west in the afternoon.
Night: Clear, with a low around 48. North northeast wind 5 to 10 mph.
Wednesday Nov 26
Day: Sunny, with a high near 73. North wind around 10 mph.
Night: Mostly clear, with a low around 51. North northeast wind around 5 mph.
Thursday Nov 27
Day: Mostly sunny, with a high near 71.
Night: Mostly clear, with a low around 52.
Friday Nov 28
Day: Sunny, with a high near 65.
Night: Patchy fog after 10pm. Otherwise, mostly cloudy, with a low around 49.
Saturday Nov 29
Day: Patchy fog before 10am. Otherwise, partly sunny, with a high near 61.
Night: A slight chance of showers. Partly cloudy, with a low around 46.
Sunday Nov 30
Day: A slight chance of showers. Partly sunny, with a high near 57.
Night: A slight chance of showers. Partly cloudy, with a low around 45.
Monday Dec 1
Day: A slight chance of showers. Mostly sunny, with a high near 59.
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.