Background Climate change is expected to influence the risk of mosquito-borne diseases by altering mosquito and pathogen ...

Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

AI-driven models led both track and intensity predictions in the 2025 Hurricane Season, outperforming traditional models and ...

Hot on the heels of rolling out a major update last month, Carrot Weather is back with more. A new update today adds two new ...

AI models are new to hurricane forecasting but one is already near the top.

Shruti Nath is a postdoctoral research associate in atmospheric physics and predictability in the Department of Physics, University of Oxford, Oxford, UK. Improvements in weather forecasting rank high ...

Meteorologists use several weather projections, called forecast models, to guide their predictions. Here are a few of their differences.

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

The report card for the National Hurricane Center is in: Despite intensity struggles, track forecasts were better than the ...

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...