Now showing items 1-4 of 4

    • Bayesian geomorphology 

      Korup, OliverORCIDiD (Earth Surface Processes and Landforms, 2020)
      The rapidly growing amount and diversity of data are confronting us more than ever with the need to make informed predictions under uncertainty. The adverse impacts of climate change and natural hazards also motivate our ...
    • Challenges in modeling and predicting floods and droughts: A review 

      Brunner, Manuela I.ORCIDiD; Slater, LouiseORCIDiD; Tallaksen, Lena M.ORCIDiD; Clark, MartynORCIDiD (Wiley Interdisciplinary Reviews: Water, 2021-03-11)
      Predictions of floods, droughts, and fast drought‐flood transitions are required at different time scales to develop management strategies targeted at minimizing negative societal and economic impacts. Forecasts at daily ...
    • Improving Atmospheric Angular Momentum Forecasts by Machine Learning 

      Dill, R.ORCIDiD; Saynisch‐Wagner, J.; Irrgang, C.ORCIDiD; Thomas, M. (Earth and Space Science, 2021-12-20)
      Earth angular momentum forecasts are naturally accompanied by forecast errors that typically grow with increasing forecast length. In contrast to this behavior, we have detected large quasi‐periodic deviations between ...
    • The Permeability of Columnar Jointed Lava 

      Vasseur, JérémieORCIDiD; Wadsworth, Fabian B.ORCIDiD (Journal of Geophysical Research: Solid Earth, 2019)
      Columnar jointed lava is an important facies in many geothermal reservoir systems. The permeability of jointed lavas is dominated by the contribution from fracture networks. We use a scaling for the permeability of a set ...