American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each approach’s respective advantages.
USA Today

Signing an MOU with PAGASA (Philippines) to contribute to damage reduction through AI-based typhoon and heavy rain forecasting

Weathernews has maintained a cooperative relationship with PAGASA since signing the agreement in 2015, and this latest agreement further strengthens this relationship. The Philippines is an island ...
EurekAlert!

A novel approach to enhancing the reliability of ensemble forecasts for unusual tropical cyclone tracks: The O-CNOPs

In a recent study published in Science China Earth Sciences, a team of researchers proposed using an orthogonal conditional ...
EurekAlert!

Integrated atmosphere-to-seafloor monitoring needed to better forecast cyclones, researchers say

This figure illustrates the emerging paradigm of multi-platform, stereoscopic cooperative observation for tropical cyclones. Traditional platforms, such as manned aircraft, and moored buoys, are ...
Nature

Machine‐Learning (ML)‐Physics Fusion Model Accelerates the Paradigm Shift in Typhoon Forecasting With a CNOP‐Based Assimilation Framework

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
KENS

Super Typhoon Nepartak forecast to batter Taiwan

Taiwan is bracing for the arrival of Super Typhoon Nepartak, which could slam into the island nation late Thursday or early Friday Taiwan time, according to the Joint Typhoon Warning Center. (That's ...