Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand
scientific challenge. Recently, machine learning-based weather forecasting models …

A key challenge for computationally intensive state-of-the-art Earth-system models is to
distinguish global warming signals from interannual variability. Recently machine learning …

Machine learning (ML) models have become increasingly valuable in weather forecasting,
providing forecasts that not only lower computational costs but often match or exceed the …

Seamless forecasting that produces warning information at continuum timescales based on
only one system is a long-standing pursuit for weather-climate service. While the rapid …

Accurate ocean forecasting systems are vital for understanding marine dynamics, which play
a crucial role in environmental management and climate adaptation strategies. Traditional …

The accuracy in predicting the typhoon track can be key to minimizing their frequent
disastrous effects. This article aims to study the accuracy of typhoon trajectory prediction …

Hurricane track forecasting remains a significant challenge due to the complex interactions
between the atmosphere, land, and ocean. Although AI-based numerical weather prediction …

Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand
scientific challenge. Recently, machine learning based weather forecasting models …

The application of machine learning (ML) techniques to climate science has received
significant attention, particularly in the field of climate predictions, ranging from sub-seasonal …