While artificial intelligence (AI) weather forecasting models have shown revolutionary prediction accuracy in some cases, it ...

Temperature anomalies during the 2020 heat wave in Siberia, which broke historical records and caused severe wildfires, among ...

It is well established that AI climate models have surpassed traditional, physics-based climate models for some aspects of ...

(a) The OGWD acts to decelerate the low-level easterly flow, which enhances the blocking effect of the model-resolved orography on the low-level mesoscale vortex. Consequently, the vortex stays to the ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance forecasting crucial for balancing supply and demand. However, traditional ...

The adoption of numerical weather prediction (NWP) in 1965 marked a turning point, ushering in an era of scientific advancement, technological innovation and ever-improving forecast accuracy. As we ...

This Collection supports and amplifies research related to SDG13 Climate Action. Artificial Intelligence is transforming the landscape of numerical weather prediction (NWP), offering new pathways to ...

Weather experts have something remarkable to celebrate right now. Our ability to predict conditions over the coming season has greatly advanced in just the past 20 years. The science behind seasonal ...

After a merciful lack of hurricanes in the U.S. and an unusually quiet Gulf of Mexico, the 2025 Atlantic hurricane season wasn’t too memorable in Louisiana. But the season will be remembered for ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance forecasting crucial for balancing supply and demand. However, traditional ...

A study on the catastrophic July 2021 Zhengzhou rainfall event offers a useful reminder that extreme weather forecasting does not depend on computing power alone. According to researchers ...