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NWS Wilmington Issues Flood Watch for Southeast North Carolina and Northeast South Carolina

October 11, 2026 · wweather1 editorial · 2 min read

The National Weather Service in Wilmington, North Carolina, has issued a Flood Watch effective until 11:00 AM EDT on October 11 for parts of southeast North Carolina and northeast South Carolina. Heavy rainfall from tropical moisture continues to create a risk of flash flooding across the region.

The alert was issued at 2:02 AM EDT on October 11. In southeast North Carolina, the watch covers Columbus County as well as coastal and inland areas of Brunswick, New Hanover, and Pender counties. In northeast South Carolina, affected regions include Central Horry, Coastal Georgetown, Coastal Horry, Inland Georgetown, and Northern Horry.

Tropical moisture moving across the area is bringing showers and thunderstorms capable of producing heavy rain. Forecasts indicate additional rainfall amounts of 1 to 3 inches, with the highest totals likely in the Cape Fear area. Some localized areas could receive up to 6 inches of rain during thunderstorms.

Excessive runoff from the rainfall may lead to the flooding of rivers, creeks, streams, and other low-lying or flood-prone areas. The National Weather Service notes that flood hazards are particularly difficult to recognize at night.

Why it is dangerous and what to do

⚠️ Safety
• Be especially cautious when traveling at night when flood dangers are harder to identify.
• Avoid driving or walking through flooded low-lying locations, creeks, and streams.
• Stay informed by checking official weather updates and flood safety information.
📊 The numbers, from wweather1 data
Myrtle Beach: now +24°, Overcast.
That is 4° above the October climate norm.
The record for this date is +29° (2018).
Three-day forecast: 11 October: +27°/+19° · 12 October: +26°/+18° · 13 October: +27°/+19°
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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