Blar i Bergen Open Research Archive på forfatter "Selten, Frank"

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    • Dynamically combining climate models to "supermodel" the tropical Pacific 

      Shen, Mao-Lin; Keenlyside, Noel; Selten, Frank; Wiegerinck, Wim; Duane, Gregory (Peer reviewed; Journal article, 2016-01)
      We construct an interactive ensemble of two different climate models to improve simulation of key aspects of tropical Pacific climate. Our so-called supermodel is based on two atmospheric general circulation models (AGCMs) ...

    • An efficient training scheme for supermodels 

      Schevenhoven, Francine Janneke; Selten, Frank (Peer reviewed; Journal article, 2017-06-28)
      Weather and climate models have improved steadily over time as witnessed by objective skill scores, although significant model errors remain. Given these imperfect models, predictions might be improved by combining them ...

    • Improving weather and climate predictions by training of supermodels 

      Schevenhoven, Francine Janneke; Selten, Frank; Carrassi, Alberto; Keenlyside, Noel (Peer reviewed; Journal article, 2019-11-28)
      Recent studies demonstrate that weather and climate predictions potentially improve by dynamically combining different models into a so-called “supermodel”. Here, we focus on the weighted supermodel – the supermodel's time ...

    • Introduction to focus issue: Synchronization in large networks and continuous media - Data, models, and supermodels 

      Duane, Gregory; Grabow, Carsten; Selten, Frank; Ghil, Michael (Peer reviewed; Journal article, 2017)
      The synchronization of loosely coupled chaotic systems has increasingly found applications to large networks of differential equations and to models of continuous media. These applications are at the core of the present ...

    • Supermodeling: Synchronization of Alternative Dynamical Models of a Single Objective Process 

      Duane, Gregory; Wiegerinck, Wim; Selten, Frank; Shen, Mao-Lin; Keenlyside, Noel (Chapter, 2018)
      Imperfect models of the same objective process give an improved representation of that process, from which they assimilate data, if they are also coupled to one another. Inter-model coupling, through nudging, or more ...