The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

The latest Danfoss Impact White Paper reveals that an ambitious but realistic roll out of demand-side flexibility technology in the EU and UK ...

Moreover, research shows that increasing accuracy of weather forecasts can result in thousands of lives saved per year. One ...

For its 29th edition, Operation Sierra Storm (OSS) is holding their leading National Meteorologist Conference from January 11 ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

NOAA has launched a groundbreaking new suite of operational, artificial intelligence (AI)-driven global weather prediction ...

Recently, researchers from the Institute of Urban Meteorology, China Meteorological Administration, have combined data from the Fengyun-4B satellite with the regional numerical forecast model RMAPS-ST ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...

SRINAGAR: Jammu and Kashmir has emerged as a focus area in the Centre’s push to modernise weather forecasting and disaster early warning systems, with three Doppler Weather Radars already operational ...