The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Faster does not always mean safer, and finding more vulnerabilities is not the same thing as reducing meaningful exposure.
From emissions tracking to flood forecasting, AI is already tackling climate change. These five organizations show what works ...
Uncertainty-Aware Flood Inundation Mapping With a Bayesian Deep Learning Framework Using SAR Imagery
Abstract: Climate change-induced extreme rainfall events are driving a rise in flood frequency, posing significant challenges that need to be addressed by decision-makers. To aid in this challenge, ...
LANESVILLE, Ind. (WAVE/WDRB) - Flash flooding in Southern Indiana created headaches on Tuesday, as rising water flooded businesses and required rescue crews to brave the high waters to reach stranded ...
LANESVILLE, Ind. — Extreme flash flooding prompted an emergency situation in southern Indiana on Tuesday. The National Weather Service in Louisville said the Lanesville area was hit hard" with at ...
Severe weather could impact more than 90 million people across the middle of the country this week, forecasts show, as storms continue to threaten multiple U.S. states in the Midwest and northern ...
LOUISVILLE, Ky. (WDRB) — Police closed all entrances to downtown Corydon on Tuesday afternoon because of rising floodwaters. According to Harrison County Dispatch just after 2:30 p.m., water was ...
KOAM SW-MO REGION — Late Sunday night, June 7, 2026, as Meteorologists reminded the late night rains would be coming. Some storms were heavy at times but the rains kept hitting southern Jasper and ...
Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
Abstract: Machine learning methods have proven effective for mapping urban flood extents using remotely sensed data. However, the availability of suitable datasets remains a key challenge when ...
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