Flash Floods in the Port City Destroyed Roads and Swept Neighborhoods Out to Sea
Heavy rain from a cyclone in the Mediterranean inundated cities along the northeastern coast of Libya in early September 2023, causing thousands of deaths. The port city of Derna (Darnah), home to about 90,000 people, was one of the worst hit by the storm and suffered extensive flooding and damage.
On September 10 and 11, over 100 millimeters (4 inches) of rain fell on Derna. The city lies at the end of a long, narrow valley, called a wadi, which is dry except during the rainy season. Floods triggered two dams along the wadi to collapse. The failure of the second dam, located just one kilometer inland of Derna, unleashed floodwater 3-7 meters (10-23 feet) high that tore through the city. According to news reports, the flash floods destroyed roads and swept entire neighborhoods out to sea.
The images on this page show the city before (above) and after (below) the storm. The image below, acquired by Landsat 9’s Operational Land Imager-2 (OLI-2) on September 18, shows eroded banks of Wadi Derna near where it meets the Mediterranean. Water just off the coast appears muddier than in the image above, which shows the same area on August 25 and was acquired by Landsat 8.
Preliminary estimates by the United Nations Satellite Center (UNOSAT) indicate that 3,100 buildings in Derna were damaged by rushing water. According to the UN International Organization for Migration (IOM), about 40,000 people in the country were displaced by the storm, and 30,000 of those were displaced from Derna.
Tropical-like cyclones in the Mediterranean, or “medicanes,” develop only once or twice a year, according to NOAA, and typically form in autumn. According to meteorologists at Yale Climate Connections, this storm was the deadliest in Africa’s recorded history. A recent assessment by scientists at World Weather Attribution estimated that precipitation received by the region was a one-in-300 to one-in-600-year event.
NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey.
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