New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced modeling and digital simulations that help guide billion-dollar decisions ...

Electric utilities are under increasing pressure to mitigate wildfire risk and respond to extreme weather, and not just in places where one might typically expect such hazards. Service territories ...

For half a century, a federal program has covered most at-risk properties. Now, a private company is pitching a plan to shrink the government’s role. By Scott Dance Reporting from Washington Flood ...

UK-based flood science specialist JBA Risk Management has launched a high-resolution US inland flood model, as new data reveals that almost one in three US properties – 38.6 million buildings – are at ...

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 ...

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Homeland Security Secretary Kristi Noem said Saturday that the federal response to the deadly floods in Texas Hill Country last weekend was a good indication of the improved disaster response the ...

Floods remain one of the most devastating forms of natural catastrophe, resulting in massive social, economic, and environmental damage. Traditional flood risk models often rely heavily on ...

Description: Starting with geospatially attributed one-dimensional HEC-RAS floodplain models, these scripts are used to create a library of flood depth inundation rasters for a range of storm water ...