• Comparing different machine‐learning techniques to date Nile Delta sediments based on portable X‐ray fluorescence data 

      Seeliger, MartinORCIDiD; Ginau, Andreas; Altmeyer, Marina; Neis, Pascal; Schiestl, Robert; Wunderlich, Jürgen (Geoarchaeology, 2022-11-01)
      Geomorphology generally aims to describe and investigate the processes that lead to the formation of landscapes, while geochronology is needed to detect their timing and duration. Due to restrictions on exporting geological ...
    • Controls on Flood Trends Across the United States 

      Kemter, MatthiasORCIDiD; Marwan, NorbertORCIDiD; Villarini, GabrieleORCIDiD; Merz, BrunoORCIDiD (Water Resources Research, 2023-01-30)
      Trends in flood magnitudes vary across the conterminous USA (CONUS). There have been attempts to identify what controls these regionally varying trends, but these attempts were limited to certain—for example, climatic—variables ...
    • Report on continental-scale high-resolution modeling of streamflow intermittence 

      Döll, PetraORCIDiD; Abbasi, Mahdi; Trautmann, TimORCIDiD (2023)
      Quantification of the temporally varying streamflow intermittence at continental scales provides an important basis for evaluating biodiversity, ecosystem functions and ecosystem services in rivers as well as water resources ...
    • Upscaling Net Ecosystem Exchange Over Heterogeneous Landscapes With Machine Learning 

      Reitz, O.ORCIDiD; Graf, A.ORCIDiD; Schmidt, M.ORCIDiD; Ketzler, G.ORCIDiD; Leuchner, M.ORCIDiD (Journal of Geophysical Research: Biogeosciences, 2021-02-13)
      This paper discusses different feature selection methods and CO2 flux data sets with a varying quality‐quantity balance for the application of a Random Forest model to predict daily CO2 fluxes at 250 m spatial resolution ...