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Flood Watch Issued for Portions of North and Central Texas

September 29, 2026 · wweather1 editorial · 2 min read

The National Weather Service in Fort Worth has issued a Flood Watch for parts of North and Central Texas, effective from Wednesday afternoon through Thursday afternoon. Excessive rainfall could lead to flooding in rivers, creeks, and low-lying areas.

A Flood Watch has been issued by the National Weather Service in Fort Worth, TX, starting September 29 at 1:43 AM CDT and remaining in effect until October 1 at 1:00 PM CDT. The affected region spans multiple counties, including Montague, Cooke, Grayson, Fannin, Young, Jack, Wise, Denton, Collin, Stephens, Palo Pinto, Parker, Tarrant, Dallas, Rockwall, Eastland, Erath, Hood, Somervell, Johnson, Ellis, Comanche, Mills, Hamilton, Bosque, Hill, Lampasas, Coryell, and McLennan.

According to the advisory, the potential flooding is driven by excessive rainfall from slow-moving thunderstorms. Anticipated rainfall amounts generally range between 2 and 5 inches, with the possibility of locally higher amounts in some areas. The primary impact zone is focused along and west of I-35 across portions of North and Central Texas.

The resulting excessive runoff may cause flooding in rivers, creeks, streams, and other low-lying or flood-prone locations. Additionally, low-water crossings are at risk of becoming flooded during this weather event.

Why it is dangerous and what to do

⚠️ Safety
• Monitor later forecasts for updates.
• Be alert for possible Flood Warnings.
• Prepare to take action if flooding develops, especially if living in a flood-prone area.
📊 The numbers, from wweather1 data
Dallas: now +26°, Overcast.
That is 3° above the September climate norm.
The record for this date is +38° (2011).
Three-day forecast: 29 September: +34°/+25° · 30 September: +34°/+24° · 1 October: +28°/+22°
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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