• Climate–ecosystem modelling made easy: The Land Sites Platform 

      Keetz, Lasse Torben; Lieungh, Eva; Karimi-Asli, Kaveh; Geange, Sonya Rita; Gelati, Emiliano; Tang, Hui; Yilmaz, Yeliz A.; Aas, Kjetil Schanke; Althuizen, Inge; Bryn, Anders; Falk, Stefanie; Fisher, Rosie; Fouilloux, Anne; Horvath, Peter; Indrehus, Sunniva; Lee, Hanna; Lombardozzi, Danica; Parmentier, Frans-Jan W.; Pirk, Norbert; Vandvik, Vigdis; Vollsnes, Ane Victoria; Skarpaas, Olav; Stordal, Frode; Tallaksen, Lena M. (Peer reviewed; Journal article, 2023)
      Dynamic Global Vegetation Models (DGVMs) provide a state-of-the-art process-based approach to study the complex interplay between vegetation and its physical environment. For example, they help to predict how terrestrial ...
    • Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning 

      Pirk, Norbert; Aalstad, Kristoffer; Holmlund, Erik Schytt; Clayer, Francois; de Wit, Heleen; Christiansen, Casper Tai; Althuizen, Inge; Lee, Hanna; Westermann, Sebastian (Journal article; Peer reviewed, 2024)
      Extensive regions in the permafrost zone are projected to become climatically unsuitable to sustain permafrost peatlands over the next century, suggesting transformations in these landscapes that can leave large amounts ...