TRR 181 DFG
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    • Area M Mathematics, New Concepts and Methods
      • M2 Mathematical, Numerical and Datadriven Approaches to Ocean Parameterisations
      • M3 Towards Consistent Subgrid Momentum Closures
      • M5 Reducing Spurious Dissipation and Energetic Inconsistencies in Realistic Ocean Modelling Applications
    • Area T Turbulence and Boundary Layer
      • T2 Ocean Surface Layer Energetics
      • T4 Energy Fluxes at the Air-Sea Interface
      • T5 Gravity Wave Genesis, Break-up and Dissipation
    • Area W Wave Processes
      • W1 Gravity Wave Parameterisation for the Atmosphere
      • W2 Observed and Simulated Internal Tides: Generation, Modification by Eddies, and Contribution to Energy Budget
      • W4 Gravity Wave Parameterisation for the Ocean
      • W5 Internal Wave Energy Dissipation and Wavenumber Spectra: Adaptive Sampling in the Ocean Interior
      • W6 Spectral Energy Fluxes by Wave-Wave Interactions
    • Area L Large-Scale and Balanced Processes
      • L2 Quantifying Dynamical Regimes in the Ocean and the Atmosphere
      • L3 Meso- to Submesoscale Turbulence in the Ocean
      • L4 Multiscale Ocean-Atmosphere Coupling
      • L5 Future Climate Applications of Mixing Parameterisations in Earth-System Models
    • Area S Synthesis with Climate Models
      • S1 Diagnosis and Metrics in Climate Models
      • S2 Improved Parameterisations and Numerics in Climate Models
      • S3 Climate Model Intercomparison
  • Archive
    • Phase 1
      • Area M Mathematics, new concepts and methods
      • Area T Turbulence and boundary layer
      • Area W Wave processes
      • Area L Large-scale and balanced processes
      • Area S Synthesis Climate models as metrics
    • Phase 2
      • Area M Mathematics, New Concepts and Methods
      • Area T Turbulence and Boundary Layer
      • Area W Wave Processes
      • Area L Large-Scale and Balanced Processes
      • Area S Synthesis with Climate Models
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  1. Home
  2. Publications

Publications

Scientific publications are a metric for the success of a project. Our scientists publish in internationally renowned journals and books. Have a look at what has been published so far.

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  • Sidorenko, D., Danilov, S., Koldunov, N. et al. (2020). Simple algorithms to compute meridional overturning and barotropic streamfunction on unstructured meshes. Geosci. Model Dev. 13(7), doi: https://doi.org/10.5194/gmd-13-3337-2020.

  • Voelker, G. S., Olbers, D., Walter, M., Mertens, C., & Myers, P. G. (2020). Estimates of Wind Power and Radiative Near-Inertial Internal Wave Flux. The Hybrid Slab Model and Its Application to the North Atlantic. Ocean Dynam. 70, 1357–1376, doi: https://doi.org/10.1007/s10236-020-01388-y. 

  • Wang, Q., Koldunov, N., Danilov, S. et al. (2020). Eddy Kinetic Energy in the Arctic Ocean from a Global Simulation with a 1-km Arctic. Geophys. Res. Lett. 47, e2020GL088550, doi: https://doi.org/10.1029/2020GL088550.

  • Chegini, F., Klingbeil, K., Burchard, H., Winter, C. et al. (2020). Processes of Stratification and Destratification During An Extreme River Discharge Event in the German Bight ROFI. J. Geophys. Res.- Oceans 125(8), doi: https://doi.org/10.1029/2019JC015987.

  • Sein, D.V., Gröger, M., Koldunov, N., et al. (2020). Regionally Coupled Atmosphere-Ocean-Marine Biogeochemistry Model ROM: 2. Studying the Climate Change Signal in the North Atlantic and Europe. J. Adv. Model Earth Sy. 12(8), doi: https://doi.org/10.1029/2019MS001646. 

  • Gugole, F. & Franzke, C.L.E. (2020). Spatial Covariance Modeling for Stochastic Subgrid-Scale Parameterizations Using Dynamic Mode Decomposition. J. Adv. Model Earth Sy. 12(8), e2020MS002115, doi: https://doi.org/10.1029/2020MS002115. 

  • Huang, Y., Fu, Z., & Franzke, C.L.E. (2020). Detecting causality from time series in a machine learning framework. Chaos: An Interdisciplinary Journal of Nonlinear Science 30(6), doi: https://doi.org/10.1063/5.0007670. 

  • Pollmann, F. (2020). Global characterization of the ocean’s internal wave spectrum. J. Phys. Oceanogr. 50(7), doi: https://doi.org/10.1175/JPO-D-19-0185.1.

  • Peng, J.-P., Holtermann, P. & Umlauf, L. (2020). Frontal instability and energy dissipation in a submesoscale upwelling filament. J. Phys. Oceanogr., doi: https://doi.org/10.1175/JPO-D-19-0270.1.

  • Lembo, V., Lucarini, V., & Ragone, F. (2019). Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model. Sci. Rep., doi: 10.1038/S41598-020-65297-2.

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