New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Warning systems can engage people on a personal level — if they are built in a way that bridges technology and social science.

From national parks to wilderness areas, these 10 iconic American landscapes face new threats. See which places are most at ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Hackers use credentials stolen in the GlassWorm campaign to access GitHub accounts and inject malware into Python repositories.

An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...

Abstract: Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of global navigation satellite system-derived precipitable water vapor (GNSS-PWV) has ...

Changelog for Rain2Flood Plugin v2.1 🚀 Major New Features Flash Flood Analysis (Hourly): Added specialized analysis for short-duration flood events using hourly rainfall data Multiple Rainfall Data ...

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

The Trump administration’s move to give deportation officials access to Medicaid data is putting hospitals and states in a bind as they weigh whether to alert immigrant patients that their personal ...

A Michigan power plant that has consumed coal in a roaring furnace to generate electricity since the early 1960s was supposed to retire last year. Instead, it’s been kept running for months, on the ...

AMERICAN SCIENTISTS have historically been leaders in the collection and analysis of data on climate change. The longest-running observations of carbon-dioxide concentrations in the atmosphere, for ...