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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  • Noethen, F. (2019). A projector-based convergence proof of the Ginelli algorithm for covariant Lyapunov vectors. Physica D, Vol. 396, p. 18-34, doi: https://doi.org/10.1016/j.physd.2019.02.012.

  • Merckelbach, L., A. Berger, G. Krahmann, M. Dengler and J. R. Carpenter (2019). A dynamic flight model for Slocum gliders and implications for turbulence microstructure measurements. J. Atmos. Ocean. Tech., Vol. 36 (2), 281-296, doi: https://doi.org/10.1175/JTECH-D-18-0168.1.

  • Burchard, H., X. Lange, K. Klingbeil, and P. MacCready (2019) Mixing estimates for estuaries, J. Phys. Oceanogr., 49, 631-648, doi: https://doi.org/10.1175/JPO-D-18-0147.1.

  • Iske, A. (2019). Approximation Theory and Algorithms for Data Analysis. Texts App. Math., 68, Springer, doi: 10.1007/978-3-030-05228-7.

  • Franzke, C. L., D. Jelic, S. Lee, and S. B. Feldstein (2019). Systematic Decomposition of the MJO and its Northern Hemispheric Extra‐Tropical Response into Rossby and Inertio‐Gravity Components. Q. J. Roy. Meteor. Soc., doi: https://doi.org/10.1002/qj.3484.

  • 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.

  • 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.

  • Danilov, S., Juricke, S., Kutsenko, A., & Oliver, M. (2019). Toward consistent subgrid momentum closures in ocean models. In Energy Transfers in Atmosphere and Ocean (pp. 145-192). Springer, Cham., doi: https://doi.org/10.1007/978-3-030-05704-6_5.

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