Publications (peer-reviewed)
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- Schevenhoven, F., and Coauthors, 2023: Supermodeling: Improving Predictions with an Ensemble of Interacting Models. Bull. Amer. Meteor. Soc., 104, E1670–E1686, DOI: 10.1175/BAMS-D-22-0070.1.
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- Duane, G. S., and M. Shen, 2023: Synchronization of Alternative Models in a Supermodel and the Learning of Critical Behavior. J. Atmos. Sci., 80, 1565–1584, DOI: 10.1175/JAS-D-22-0113.1.
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- Counillon, F., N. Keenlyside, S. Wang, M. Devilliers, A. Gupta, S. Koseki, and M.-L. Shen, 2023: Framework for an ocean-connected supermodel of the Earth system. J. Adv. Model. Earth Syst., 15, e2022MS003310, DOI: 10.1029/2022MS003310.
- Counillon, F., N. Keenlyside, S. Wang, M. Devilliers, A. Gupta, S. Koseki, and M.-L. Shen, 2023: Framework for an ocean-connected supermodel of the Earth system. J. Adv. Model. Earth Syst., 15, e2022MS003310, DOI: 10.1029/2022MS003310.
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- Schevenhoven, F. J., and A. Carrassi, 2022: Training a supermodel with noisy and sparse observations: A case study with CPT and the synch rule on SPEEDO—v.1. Geosci. Model Dev., 15, 3831–3844, DOI: 10.5194/gmd-15-3831-2022.
- Schevenhoven, F. J., and A. Carrassi, 2022: Training a supermodel with noisy and sparse observations: A case study with CPT and the synch rule on SPEEDO—v.1. Geosci. Model Dev., 15, 3831–3844, DOI: 10.5194/gmd-15-3831-2022.
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- Schevenhoven F, Selten F, Carrassi A, Keenlyside N. 2019: Improving weather and climate predictions by training of supermodels. Earth System Dynamics, 10: 789-807, DOI: 10.5194/esd-10-789-2019
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- Duane G S., Grabow C, Selten F, Ghil M. 2017: Introduction to focus issue: Synchronization in large networks and continuous media—data, models, and supermodels. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27: 126601, DOI: 10.1063/1.5018728
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- Shen M-L, Keenlyside N, Bhatt B, Duane G. 2017: Role of atmosphere-ocean interactions in supermodeling the tropical Pacific climate. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27: 126704, DOI: 10.1063/1.4990713
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- Wiegerinck W, Selten F. 2017: Attractor learning in synchronized chaotic systems in the presence of unresolved scales. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27: 126901, DOI: 10.1063/1.4990660
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- Selten F, Schevenhoven F, Duane G. 2017: Simulating climate with a synchronization-based supermodel. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27: 126903, DOI: 10.1063/1.4990721
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- Schevenhoven F, Selten F. 2017: An efficient training scheme for supermodels. Earth System Dynamics, 8: 429-438, DOI: 0.5194/esd-8-429-2017
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- Shen M-L, Keenlyside N, Selten F, Wiegerinck W, Duane G. 2016: Dynamically combining climate models to “supermodel” the tropical Pacific. Geophysical Research Letters, 43: 359-366, DOI: 10.1002/2015GL066562