From reliable weather forecasts to skilful climate response: A dynamical systems approach by Christensen, HM, Berner, J

Interpretable deep learning for probabilistic MJO prediction by Delaunay, A, Christensen, HM

The fractal nature of clouds in global storm-resolving models by Christensen, HM, Driver, OGA

The value of initialisation on decadal timescales: state dependent predictability in the CESM Decadal Prediction Large Ensemble by Christensen, HM, Berner, J, Yeager, S

Characterizing uncertainty in deep convection triggering using explainable machine learning by Miller, GA, Stier, P, Christensen, HM

Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI by Chantry, M, Christensen, HM, Dueben, P, Palmer, T

Insights into the quantification and reporting of model-related uncertainty across different disciplines. by Simmonds, EG, Adjei, KP, Andersen, CW, Christensen, HM

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz’96 Model by Gagne, DJ, Christensen, HM, Subramanian, AC, Monahan, AH

The impact of stochastic parametrisations on the representation of the Asian summer monsoon by Strømmen, KJ, Christensen, HM, Berner, J, Palmer, TN

Convective and orographic origins of the mesoscale kinetic energy spectrum by Kouhen, S, Storer, BA, Aluie, H, Marshall, DP, Christensen, HM

Scale‐aware space‐time stochastic parameterization of subgrid‐scale velocity enhancement of sea surface fluxes by Bessac, J, Christensen, HM, Endo, K, Monahan, AH, Weitzel, N

Robustness of the stochastic parameterization of sub-grid scale wind variability in sea-surface fluxes by Endo, K, Monahan, AH, Bessac, J, Christensen, HM, Weitzel, N

Euro-Atlantic weather Regimes in the PRIMAVERA coupled climate simulations: impact of resolution and mean state biases on model performance by Fabiano, F, Christensen, HM, Strommen, K, Athanasiadis, P, Baker, A, Schiemann, R, Corti, S

Environmental conditions affecting global mesoscale convective system occurrence by Muetzelfeldt, MR, Plant, RS, Christensen, HM, Zhang, Z, Woollings, T, Feng, Z, Li, P

Continuous structural parameterization: a proposed method for representing different model parameterizations within one structure demonstrated for atmospheric convection by Lambert, FH, Challenor, PG, Lewis, NT, McNeall, DJ, Owen, N, Boutle, IA, Christensen, HM, Keane, RJ, Mayne, NJ, Stirling, A, Webb, MJ

Future global climate: scenario-based projections and near-term information by Lee, J-Y, Marotzke, J, Bala, G, Cao, L, Corti, S, Dunne, JP, Engelbrecht, F, Fischer, E, Fyfe, JC, Jones, C, Maycock, A, Mutemi, J, Niaye, O, Panickal, S, Zhou, T, Christensen, HM

Pushing the frontiers in climate modelling and analysis with machine learning by 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