2 papers
cs.LG2025
Tailored Forecasting from Short Time Series via Meta-learning
Declan A. Norton, Edward Ott, Andrew Pomerance +2
Machine learning models can effectively forecast dynamical systems from time-series data, but they typically require large amounts of past data, making forecasting particularly cha…
physics.ao-ph2024
Prediction Beyond the Medium Range with an Atmosphere-Ocean Model that Combines Physics-based Modeling and Machine Learning
Dhruvit Patel, Troy Arcomano, Brian Hunt +2
This paper explores the potential of a hybrid modeling approach that combines machine learning (ML) with conventional physics-based modeling for weather prediction beyond the mediu…