Artificial intelligence models, like Google DeepMind, are revolutionizing hurricane forecasting with increased speed and accuracy. Despite its success, some experts refer to the AI model as a "black ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

Gemini was supposed to be smarter than anything else, but it's slowly turning out to be the opposite. The new AI-powered assistant is suffering from all kinds of issues, and one of the most frequent ...

AccuWeather has released its latest outlook on what Oregon could expect for the 2026 fire season, forecasting another active year for wildfires for much of the western half of America. Experts said ...

Heavy rainfall and thunderstorms are expected to redevelop across Southeast Texas through Thursday morning, potentially creating hazardous travel conditions during the morning commute around Houston.

With a battery of modern technology at their fingertips, meteorologists often turn first to an old-fashioned tracking technique. Credit... Supported by By Judson Jones Photographs by Desiree Rios ...

Accurate streamflow forecasting is critical for water resources management, flood mitigation and hydropower operations worldwide. Traditional hydrological models based on physical processes often ...

ALBUQUERQUE, N.M. – Federal water managers say this winter’s lack of snowpack could leave parts of the Rio Grande through Albuquerque dry this summer. The Bureau of Reclamation said its annual ...

What really happens after you hit enter on that AI prompt? WSJ’s Joanna Stern heads inside a data center to trace the journey and then grills up some steaks to show just how much energy it takes to ...

A mid-March heat wave and deepening drought are worsening the outlook for Colorado River flows. Forecasters have significantly downgraded predictions for snowmelt runoff into Lake Powell. Record-low ...

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.