Biogeochemical cycle

  1. Atlantic δ13CDIC reconstructed with machine learning
    Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.
  2. River stage dynamics drive dissolved oxygen in riparian aquifers
    Global sensitivity analysis with deep learning identifies river stage dynamics as primary control on dissolved oxygen in riparian aquifers, with implications for subsurface redox prediction.
  3. Marine biogeochemical cycles show alternative dynamic regimes
    Explore how marine biogeochemical cycles respond to environmental changes. Research reveals alternative dynamic regimes and nutrient-driven hysteresis in ocean ecosystems under climate perturbations.