Nature

A deep learning-based land-atmosphere coupled model for heatwave prediction

Extreme heatwaves are intensifying under climate change, yet their prediction remains limited by inadequate representation of land–atmosphere (L–A) interactions. Most deep learning–based weather ...
Nature

A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts

This study addresses the limitations of traditional numerical weather prediction models in wind forecasting for aviation operations by introducing a deep learning approach based on a spatiotemporal ...
Phys.org

Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
Digital Journal

Advances in deep learning assist with weather prediction

Accurate weather predictions are essential for modern economies, such as farming and shipping, as well as being required by governments (such as issuing flood warnings or alerting the populace to a ...
Hosted on MSN

Could AI solve the global weather prediction problem?

As Artificial Intelligence (AI) revolutionises various aspects of our daily lives, accurate local weather prediction is also now on the radar. The National Oceanic and Atmospheric Administration's ...
China Daily Global Edition

China's AI system advances global medium-range weather forecasts

SHANGHAI -- Chinese researchers have developed an advanced artificial intelligence (AI) weather forecast system, pushing ...
Phys.org

Deep learning turns weather satellite thermal imagery into hourly ocean current maps

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...