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NWS Issues Flood Watch for Portions of Southwest California

October 10, 2026 · wweather1 editorial · 2 min read

The National Weather Service in San Diego has issued a Flood Watch for parts of Southwest California from Saturday night through Sunday evening due to incoming rainfall from Tropical Storm Rachel.

The Flood Watch remains in effect from 11:00 PM PDT Saturday through 8:00 PM PDT Sunday. Affected locations include San Diego County Coastal Areas, San Diego County Inland Valleys, San Diego County Mountains, San Diego County Deserts, the Coachella Valley, Apple and Lucerne Valleys, Riverside County Mountains, San Bernardino County Mountains, and the San Gorgonio Pass near Banning.

Tropical Storm Rachel is forecast to bring periods of moderate to heavy rainfall across all of San Diego County, as well as the mountains and deserts of Riverside and San Bernardino counties. The heaviest rain is anticipated from late Saturday night through early Sunday afternoon. Rainfall is expected to taper off from south to north on Sunday, with lingering lighter showers continuing into Monday.

Peak hourly rainfall rates could reach 0.50 to 0.60 inches along the San Diego Coast and Valleys, 0.50 to 0.70 inches across local deserts, and 0.70 to 1 inch in mountain areas. Excessive runoff from these storms may cause flooding in rivers, creeks, streams, and other low-lying or flood-prone areas.

Why it is dangerous and what to do

⚠️ Safety
• Monitor updated weather forecasts and stay alert for possible Flood Warnings.
• Prepare to take action if you reside in a flood-prone area and flooding develops.
• Avoid walking or driving through floodwaters or low-lying areas.
📊 The numbers, from wweather1 data
Palm Springs: now +28°, Overcast.
That is 3° above the October climate norm.
The record for this date is +38° (1991).
Three-day forecast: 10 October: +33°/+23° · 11 October: +24°/+17° · 12 October: +23°/+15°
The figures are computed automatically from the Open-Meteo/ERA5 archive — no eyeball estimates.

🌍 Weather in nearby cities

📰 Data source: NWS. Forecast and analysis — wweather1, based on Open-Meteo / met.no data.

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