AMSimp aims to leverage machine learning to improve numerical weather predictions with open-source software.

As in many other scientific fields, the proliferation of tools like artificial intelligence and machine learning holds great promise for weather prediction.

As artificial intelligence is introduced across different sectors, one company touts its machine-learning method for weather forecasting months ahead of time – and is getting pushback.

Google DeepMind has created a new model called GraphCast that could help improve how we predict weather forecasts.

Ideally, AI and machine learning will allow human forecasters to do their jobs more efficiently, spending less time on generating routine forecasts and more on communicating forecasts ...

Researchers from Rice University have introduced a data-driven framework that formulates extreme weather prediction as a pattern recognition problem, employing state-of-the-art deep learning ...

Dr. Hua-Liang Wei, Senior Lecturer (Associate Professor) with CSSP and Co-I of the three-year NERC project, is a well-known expert in nonlinear system identification and interpretable machine learning ...