San Marcos, CA Weather Forecast and Current Conditions
Current Conditions From Nearby Local Station
Feels Like 67°F
at
Point Forecast at a Glance
7-Day Temperature Trend
Week Ahead Summary
Variable high temperatures through the week, ranging from 64°F to 80°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 2°F above the historical average for November-December. Normal highs for this period are around 68°F with lows around 44°F.
This Date in Weather History
1970 - The temperature at Tallahassee, FL, dipped to 13 degrees, following a high of 40 degrees the previous day. The mercury then reached 67 degrees on the 26th, and highs were in the 70s the rest of the month.
San Marcos, CA 7 Day Weather Forecast Details
Tuesday Nov 25
Night: Mostly clear, with a low around 54. Calm wind becoming east around 5 mph in the evening.
Wednesday Nov 26
Day: Sunny, with a high near 80. East wind around 5 mph becoming calm in the afternoon.
Night: Increasing clouds, with a low around 55. Southeast wind around 5 mph.
Thursday Nov 27
Day: Partly sunny, with a high near 76. Calm wind becoming west around 5 mph.
Night: Partly cloudy, with a low around 52. Calm wind.
Friday Nov 28
Day: Sunny, with a high near 70.
Night: Partly cloudy, with a low around 50.
Saturday Nov 29
Day: Mostly sunny, with a high near 67.
Night: A slight chance of showers after 4am. Mostly cloudy, with a low around 50.
Sunday Nov 30
Day: A chance of showers, mainly after 10am. Mostly sunny, with a high near 64.
Night: A chance of showers. Partly cloudy, with a low around 48.
Monday Dec 1
Day: Sunny, with a high near 67.
Night: Partly cloudy, with a low around 49.
Tuesday Dec 2
Day: Sunny, with a high near 67.
About San Marcos, CA
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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.