• Can big data and random forests improve avalanche runout estimation compared to simple linear regression? 

      Toft, Håvard B.; Müller, Karsten; Hendrikx, Jordy; Jaedicke, Christian; Bühler, Yves (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-05)
      Accurate prediction of snow avalanche runout-distances in a deterministic sense remains a challenge due to the complexity of all the physical properties involved. Therefore, in many locations including Norway, it has been common practice to define the runout distance using the angle from the starting point to the end of the runout zone (α-angle). We use a large dataset of avalanche events from ...
    • Climate in Svalbard 2100 – a knowledge base for climate adaptation 

      Bilt, Willem van der; Bakke, Jostein; Smedsrud, Lars H.; Sund, Monica; Schuler, Thomas; Westermann, Sebastian; Wong, Wai Kwok; Sandven, Stein; Simpson, Matthew James Ross; Skogen, Morten D.; Pavlova, O.; Ravndal, Ole; Risebrobakken, Bjørg; Saloranta, Tuomo; Mezghani, Abdelkader; Nilsen, F.; Nilsen, Jan Even Øie; Nilsen, Irene Brox; Kierulf, Halfdan; Kohler, Jack; Li, H.; Lutz, J; Melvold, Kjetil; Gjelten, Herdis Motrøen; Gundersen, Jeanette; Isaksen, Kjetil; Jaedicke, Christian; Dobler, Andreas; Engeset, Rune; Frauenfelder, Regula; Gerland, Sebastian; Christiansen, Hanne H; Børsheim, Knut Yngve; Breivik, Øyvind; Breili, Kristian; Borstad, Christopher Paul; Bogen, J.; Benestad, Rasmus; Beldring, S.; Andresen, J; Adakudlu, Muralidhar (Research report; Forskningsrapport, 2019-02-04)
      This report was commissioned by the Norwegian Environment Agency in order to provide basic information for use in climate change adaptation in Svalbard. It includes descriptions of historical, as well as projections for the future climate development in the atmosphere, hydrosphere, cryosphere and ocean, and it includes effects on the physical nature e.g. on permafrost and various types of landslides ...