Significant flooding is underway in Texas Hill Country as storms crawl across the South. Parts of the region are still recovering from devastating flooding that killed more than 130 people this July.
Rainfall rates could reach 1 inch per hour in parts of Southern California. Over 22 million people in Southern California are under a flood watch as a West Coast storm could slam burn scar areas, ...
When a storm is barreling in from the Gulf, which neighborhoods would be most likely to flood and at what depths? And can that be predicted quickly with affordable technology? A team of LSU scientists ...
The 2,175-mile system of interconnected, man-made canals crisscrossing Florida, from Orlando to the Keys, has a particularly important role when a hurricane happens to be pinwheeling toward the ...
WASHINGTON — A new machine learning tool can reduce errors in national flood prediction programing, resulting in more accurate predictions of where floods will occur. In a new study, scientists found ...
CHAUNCEY, Ohio—This village sits between the Hocking River and a tributary, Sunday Creek. When they flood, they can completely submerge the two roads connecting the village to the highway. The ...
Bain Capital agreed to sell its data centers in China to Shenzhen Dongyangguang Industry Co. in a transaction valued at about $4 billion. Shenzhen Dongyangguang, the parent of Shanghai-listed ...
The University of Iowa’s Department of Hydroscience and Engineering, or IIHR, and officials from the city of Dubuque gathered Monday to demonstrate a project years in the making — and with years left ...
This story originally appeared on Grist and is part of the Climate Desk collaboration. The country watched in horror as torrential rain drenched Texas earlier this month, sweeping at least 135 people ...
David Richardson, FEMA's acting administrator, meeting with emergency workers in Kerr County, Texas. (Photo: Texas Division of Emergency Management via LinkedIn) David Richardson, the acting director ...
Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods using satellite imagery. This research establishes the first systematic ...
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