Pushing the frontiers in climate modelling and analysis with machine learning

Climate modelling and analysis are facing new demands to enhance projections and climate information. Here we argue that now is the time to push the frontiers of machine learning beyond state-of-the-art approaches, not only by developing machine-learning-based Earth system models with greater fideli...

Full description

Bibliographic Details
Main Authors:	Eyring, V, Collins, WD, Gentine, P, Barnes, EA, Barreiro, M, Beucler, T, Bocquet, M, Bretherton, CS, Christensen, HM, Dagon, K, Gagne, DJ, Hall, D, Hammerling, D, Hoyer, S, Iglesias-Suarez, F, Lopez-Gomez, I, McGraw, MC, Meehl, GA, Molina, MJ, Monteleoni, C, Mueller, J, Pritchard, MS, Rolnick, D, Runge, J, Stier, P, Watt-Meyer, O, Weigel, K, Yu, R, Zanna, L
Format:	Journal article
Language:	English
Published:	Springer Nature 2024

Pushing the frontiers in climate modelling and analysis with machine learning

Similar Items