TRR 181 DFG
  • Home
  • About us
  • News
  • Research
    • 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
  • Discover
    • Videos
    • Info Graphics
    • Expeditions
    • Newsletter
    • Reports
    • Outreach
  • Publications
  • Events
  • Search
  • Jobs
  • Internal Area
  • Contact
  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.

Filter by Year
  • All
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
Filter by Area
  • Area M
  • Area T
  • Area W
  • Area L
  • Area S
  • Noethen, F. (2019). Well-separating common complements of a sequence of subspaces of the same codimension in a Hilbert space are generic, arXiv:1906.08514

  • Stähler, S. C., Panning, M. P., Hadziioannou, C., Lorenz, R. D., Vance, S., Klingbeil, K., & Kedar, S. (2019). Seismic signal from waves on Titan's seas. Earth Planet Sc. Lett., 520, 250-259, doi: https://doi.org/10.1016/j.epsl.2019.05.043.

  • Lorenz, M., K. Klingbeil, P. MacCready, and H. Burchard (2019). Numerical issues of the Total Exchange Flow (TEF) analysis framework for quantifying estuarine circulation, Ocean Sci., 15, 601-614.

  • Gugole, F., and C.L. Franzke (2019). Numerical Development and Evaluation of an Energy Conserving Conceptual Stochastic Climate Model. Math. Climate Weather Forecasting, 5(1), 45-64, doi: https://doi.org/10.5194/os-15-601-2019.

  • Carlu, M., Ginelli, F., Lucarini, V., & Politi, A. (2019). Lyapunov analysis of multiscale dynamics: the slow bundle of the two-scale Lorenz 96 model. Nonlinear Proc. Geoph., 26, 73-89, https://doi.org/10.5194/npg-26-73-2019 .

  • Gräwe, U., K. Klingbeil, J. Kelln, and S. Dangendorf (2019). Decomposing mean sea level rise in a semi-enclosed basin, the Baltic Sea. J. Climate, doi: https://doi.org/10.1175/JCLI-D-18-0174.1.

  • Lucarini, V., & Bódai, T. (2019). Transitions across Melancholia States in a Climate Model: Reconciling the Deterministic and Stochastic Points of View. Phys. Rev. Lett., 122(15), 158701, doi.org/10.1103/PhysRevLett.122.158701.

  • Juricke, S., S. Danilov, A. Kutsenko and M. Oliver (2019). Ocean kinetic energy backscatter parametrizations on unstructured grids: Impact on mesoscale turbulence in a channel.Ocean Model., doi: https://doi.org/10.1016/j.ocemod.2019.03.009.

  • Gálfi, V. M., Lucarini, V., & Wouters, J. (2019). A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere. J. Stat. Mech.-Theory. E., 2019(3), 033404, https://doi.org/10.1088/1742-5468/ab02e8 .

  • Kutsenko, A. A. (2019). A note on sharp spectral estimates for periodic Jacobi matrices. J. Approx. Theory, Vol. 242, p. 58-63, doi: https://doi.org/10.1016/j.jat.2019.03.003.

    • ‹
    • …
    • 9
    • 10
    • 11
    • …
    • ›
TRR 181
TwitterYouTube

Coordinated by Universität Hamburg, Center for Earth System Research and Sustainability (CEN)

TRR 181 project office
Bundesstr. 53
20146 Hamburg

trr181.cen[at]uni-hamburg.de
+49 40 42838 5094

ImprintPrivacy Policy
Top