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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  • Eden, C., Chouksey, M., & Olbers, D. (2019). Mixed Rossby–gravity wave–wave interactions. J. Phys. Oceanogr. 49(1), 291-308, doi: https://doi.org/10.1175/JPO-D-18-0074.1. 

  • Olbers D., Eden, C., E. Becker, Pollmann, F. & Jungclaus, J. (2019). The IDEMIX model: Parameterization of internal gravity waves for circulation models of ocean and atmosphere. Energy Transfers in Atmosphere and Ocean, 87-125, doi: https://doi.org/10.1007/978-3-030-05704-6_3. 

  • Garcke, H., Hinze, M., & Kahle, C. (2019). Diffuse Interface Approaches in Atmosphere and Ocean—Modeling and Numerical Implementation. In Energy Transfers in Atmosphere and Ocean (pp. 287-307). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_9.

  • Gassmann, A., & Blender, R. (2019). Entropy Production in Turbulence Parameterizations. In Energy Transfers in Atmosphere and Ocean (pp. 225-244). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_7.

  • Griesel, A., Dräger-Dietel, J., & Jochumsen, K. (2019). Diagnosing and Parameterizing the Effects of Oceanic Eddies. In Energy Transfers in Atmosphere and Ocean (pp. 193-224). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_6.

  • Mertens, C., Köhler, J., Walter, M., von Storch, J. S., & Rhein, M. (2019). Observations and Models of Low-Mode Internal Waves in the Ocean. In Energy Transfers in Atmosphere and Ocean (pp. 127-143). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_4.

  • Olbers, D., Eden, C., Becker, E., Pollmann, F., & Jungclaus, J. (2019). The IDEMIX Model: Parameterization of Internal Gravity Waves for Circulation Models of Ocean and Atmosphere. In Energy Transfers in Atmosphere and Ocean (pp. 87-125). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_3.

  • von Storch, J. S., Badin, G. & Oliver, M. (2019). The Interior Energy Pathway: Inertia-Gravity Wave Emission by Oceanic Flows. In Energy Transfers in Atmosphere and Ocean (pp. 53-85). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_2.

  • Klingbeil, K., Burchard, H., Danilov, S., Goetz, C. & Iske, A. (2019). Reducing spurious diapycnal mixing in ocean models. In Energy Transfers in Atmosphere and Ocean (pp. 245-286). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_8.

  • Franzke, C. L., Oliver, M., Rademacher, J. D., & Badin, G. (2019). Multi-scale methods for geophysical flows. In Energy Transfers in Atmosphere and Ocean (pp. 1-51). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_1.

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