Now showing items 1-4 of 4

    • Constraining Uncertainty in Projected Gross Primary Production With Machine Learning 

      Schlund, ManuelORCIDiD; Eyring, VeronikaORCIDiD; Camps‐Valls, Gustau; Friedlingstein, Pierre; Gentine, PierreORCIDiD; Reichstein, MarkusORCIDiD (Journal of Geophysical Research: Biogeosciences, 2020-11-21)
      The terrestrial biosphere is currently slowing down global warming by absorbing about 30% of human emissions of carbon dioxide (CO2). The largest flux of the terrestrial carbon uptake is gross primary production (GPP) ...
    • Modeling urban regions: Comparing random forest and support vector machines for cellular automata 

      Rienow, AndreasORCIDiD; Mustafa, AhmedORCIDiD; Krelaus, Leonie; Lindner, ClaudiaORCIDiD (Transactions in GIS, 2021-05-05)
      Cellular automat​on (CA) are important tools that provide insight into urbanization dynamics and possible future patterns. The calibration process is the core theme of these models. This study compares the performance of ...
    • Offshore Freshened Groundwater in Continental Margins 

      Micallef, AaronORCIDiD; Person, MarkORCIDiD; Berndt, ChristianORCIDiD; Bertoni, ClaudiaORCIDiD; Cohen, DenisORCIDiD; Dugan, BrandonORCIDiD; Evans, RobORCIDiD; Haroon, AmirORCIDiD; Hensen, ChristianORCIDiD; Jegen, MarionORCIDiD; Key, KerryORCIDiD; Kooi, HenkORCIDiD; Liebetrau, VolkerORCIDiD; Lofi, JohannaORCIDiD; Mailloux, Brian J.ORCIDiD; Martin‐Nagle, Renée; Michael, Holly A.ORCIDiD; Müller, ThomasORCIDiD; Schmidt, MarkORCIDiD; Schwalenberg, KatrinORCIDiD; Trembath‐Reichert, Elizabeth; Weymer, BradleyORCIDiD; Zhang, YipengORCIDiD; Thomas, Ariel T.ORCIDiD (Reviews of Geophysics, 2021-01-04)
      First reported in the 1960s, offshore freshened groundwater (OFG) has now been documented in most continental margins around the world. In this review we compile a database documenting OFG occurrences and analyze it to ...
    • ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package 

      Müller, Sebastian; Zech, Alraune; Heße, Falk (Groundwater, 2020-06-16)
      High‐performance numerical codes are an indispensable tool for hydrogeologists when modeling subsurface flow and transport systems. But as they are written in compiled languages, like C/C++ or Fortran, established software ...