Machine learning plays a crucial role in enhancing climate services. AI algorithms improve regional simulations and forecasts, offering better support for water resource planning and management.

More information: Bofei Zhang et al, A Machine Learning-Based Observational Constraint Correction Method for Seasonal Precipitation Prediction, Advances in Atmospheric Sciences (2024). DOI: 10. ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

DonCamillo/ CC BY-SA 4.0 Enlarge image The performances of four machine-learning models in accurately modelling the rainfall-runoff process, which is crucial for water-resource management and disaster ...

By employing machine learning to integrate multiple precipitation forecasts, the potential exists to extract the advantages of the detailed structures in each forecast, thereby significantly ...

New MIT Climate Model Uses Machine Learning To Make Better Local Predictions A new climate model can predict the effects of climate change at smaller scales. News . Published: June 17, 2024 ... Using ...

Luccioni is part of a growing community of researchers in Canada who are using AI in this way. In 2019, she co-authored a report arguing that machine learning can be a useful tool for mitigating ...

The planet could cross critical global warming thresholds sooner than previous models have predicted, even with concerted global climate action, according to a new study using machine learning.