• Machine Learning‐Based Prediction of Spatiotemporal Uncertainties in Global Wind Velocity Reanalyses 

      Irrgang, ChristopherORCIDiD; Saynisch‐Wagner, Jan; Thomas, Maik (Journal of Advances in Modeling Earth Systems, 2020-05-13)
      The characterization of uncertainties in geophysical quantities is an important task with widespread applications for time series prediction, numerical modeling, and data assimilation. In this context, machine learning is ...
    • Modeling Viscosity of Volcanic Melts With Artificial Neural Networks 

      Langhammer, D.ORCIDiD; Di Genova, D.; Steinle‐Neumann, G.ORCIDiD (Geochemistry, Geophysics, Geosystems, 2022-12-01)
      Viscosity is of great importance in governing the dynamics of volcanoes, including their eruptive style. The viscosity of a volcanic melt is dominated by temperature and chemical composition, both oxides and water content. ...