Machine Learning

Artificial Intelligence Weather Prediction Model Performance for Hurricane Helene (2024)
Extended range machine-learning severe weather guidance based on the operational GEFS
DOI
Severe weather forecasts from artificial intelligence weather prediction models
Can Ingredients-Based Forecasting be Learned? Disentangling a Random Forest's Severe Weather Predictions
DOI
Observation Definitions and their Implications in Machine Learning-based Predictions of Excessive Rainfall
DOI
Machine Learning for Forecasting
Machine learning tools are being used to generate valuable products that aid operational forecasting
Last updated on Aug 7, 2025
Machine Learning for Forecasting
A New Paradigm for Medium-Range Severe Weather Forecasts: Probabilistic Random Forest–Based Predictions
Abstract Historical observations of severe weather and simulated severe weather environments (i.e., features) from the Global Ensemble Forecast System v12 (GEFSv12) Reforecast Dataset (GEFS/R) are used in conjunction to train and test random forest (RF) machine learning (ML) models to probabilistically forecast severe weather out to days 4–8.
DOI
A New Paradigm for Medium-Range Severe Weather Forecasts: Probabilistic Random Forest–Based Predictions
Forecasting excessive rainfall with random forests and a deterministic convection-allowing model
DOI
From random forests to flood forecasts: A research to operations success story
DOI
Forecasting severe weather with random forests
DOI