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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  • Becker, E. and Vadas, S. L. (2018). Secondary Gravity Waves in the Winter Mesosphere: Results From a High‐Resolution Global Circulation Model. J. Geophys. Res.-Atmos., 123(5), 2605-2627, https://doi.org/10.1002/2017JD027460.

  • Xu, J., Koldunov, N. V., Remedio, A.R.C., Sein, D.V., Zhi, X., Jiang, X., Xu, M., Zhu, X., Fraedrich, K. & Jacob, D. (2018). On the role of horizontal resolution over the Tibetan Plateau in the REMO regional climate model, Climate Dynam., February 8, 2018, 1–18, https://doi.org/10.1007/s00382-018-4085-7

  • Köhler J., Voelker, G.S. & Walter, M. (2018). Response of the internal wave field to remote wind forcing by tropical cyclones. J. Phys. Oceanogr. 48, 317-328, doi: https://doi.org/10.1175/JPO-D-17-0112.1. 

  • Kutsenko, A. A., Shuvalov, A. L. & Poncelet, O. (2018). Dispersion spectrum of acoustoelectric waves in 1D piezoelectric crystal coupled with 2D infinite network of capacitors , J. Appl. Phys., 123, 044902, https://doi.org/10.1063/1.5005165 .

  • Domeisen, D.I.V. , Badin, G. & Koszalka, I. (2018). How predictable are the Arctic and North Atlantic Oscillations? Exploring the variability and predictability of the Northern Hemisphere, J. Climate, 31, 997-1014, doi.org/10.1175/JCLI-D-17-0226.1.

  • Hu, G. and Franzke, C. L. (2017). Data Assimilation in a Multi-Scale Model.Math. Clim. Weather Forecasting, 3(1), 118-139, https://doi.org/10.1515/mcwf-2017-0006.

  • Önskog, T., Franzke, C. L. & Hannachi, A. (2018). Predictability and Non-Gaussian Characteristics of the North Atlantic Oscillation. J. Climate, 31(2), 537-554, doi: https://doi.org/10.1175/JCLI-D-17-0101.1.

  • Kutsenko, A. (2017). Mixed multidimensional integral operators with piecewise constant kernels and their representations. Lin. Multilin. Algebra, 67, 1-10, https://doi.org/10.1080/03081087.2017.1415294.

  • Risbey, J. S., O'Kane, T. J., Monselesan, D. P., Franzke, C. L. & Horenko, I. (2018). On the dynamics of Austral heat waves. J. Geophys. Res.-Atmos., 123(1), 38-57, doi: https://doi.org/10.1002/2017JD027222.

  • Gao, M. and Franzke, C. L. (2017). Quantile Regression–Based Spatiotemporal Analysis of Extreme Temperature Change in China. J. Climate, 30(24), 9897-9914, doi: https://doi.org/10.1175/JCLI-D-17-0356.1.

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