• Arctic amplification under global warming of 1.5 and 2 °C in NorESM1-Happi 

      Graff, Lise Seland; Iversen, Trond; Bethke, Ingo; Debernard, Jens Boldingh; Seland, Øyvind; Bentsen, Mats; Kirkevåg, Alf; Li, Camille; Oliviè, Dirk Jan Leo (Peer reviewed; Journal article, 2019)
      Differences between a 1.5 and 2.0 ∘C warmer climate than 1850 pre-industrial conditions are investigated using a suite of uncoupled (Atmospheric Model Intercomparison Project; AMIP), fully coupled, and slab-ocean experiments ...
    • 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 ...
    • ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation 

      Heinze, Christoph; Eyring, Veronika; Friedlingstein, Pierre; Jones, Colin; Balkanski, Yves; Collins, William; Fichefet, Thierry; Gao, Shuang; Hall, Alex; Ivanova, Detelina; Knorr, Wolfgang; Knutti, Reto; Löw, Alexander; Ponater, Michael; Schultz, Martin G.; Schulz, Michael; Siebesma, Pier; Teixeira, Joao; Tselioudis, George; Vancoppenolle, Martin (Peer reviewed; Journal article, 2019)
      Earth system models (ESMs) are key tools for providing climate projections under different scenarios of human-induced forcing. ESMs include a large number of additional processes and feedbacks such as biogeochemical cycles ...
    • 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 ...