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
  • Badin, G., Oliver, M. & Vasylkevych, S. (2018). Geometric Lagrangian averaged Euler-Boussinesq and Primitive Equations, J. Phys. A-Math. Theor., 51, 455501, doi: 10.1088/1751-8121/aae1cb.

  • Dräger-Dietel, J., Jochumsen, K., Griesel, A. & Badin, G. (2018). Relative dispersion of surface drifters in the Benguela upwelling region. J. Phys. Oceanogr., doi: https://doi.org/10.1175/JPO-D-18-0027.1.

  • Schaefer-Rolffs, U. (2018). A comparison of different solutions for the Dynamic Smagorinsky Model applied in a GCM. Meteor. Z., 27, 249–261, doi: 10.1127/metz/2018/0885.

  • Sidorenko, D., Koldunov, N., Wang, Q., Danilov, S., Goessling, H. F., Gurses, O., ... & Jung, T. (2018). Influence of a salt plume parameterization in a coupled climate model. J. Adv. Model Earth Sy., doi: https://doi.org/10.1029/2018MS001291.

  • Ivanov, V., Smirnov, A., Alexeev, V., Koldunov, N. V., Repina, I., & Semenov, V. (2018). Contribution of convection‐induced heat flux to winter ice decay in the Western Nansen Basin.J. Geophys. Res.-Oceans, doi: https://doi.org/10.1029/2018JC013995.

  • Koldunov, N.V., Cabos, W., Sein, D.V. et al. (2019). Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model. Clim. Dyn. 52, 4305–4328, doi: https://doi.org/10.1007/s00382-018-4381-2. 

  • Cabos, W., Sein, D. V., Durán-Quesada, A., Liguori, G., Koldunov, N. V., Martínez-López, B., ... & Pinto, J. G. (2018). Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model. Clim. Dynam., 1-24, doi: https://doi.org/10.1007/s00382-018-4381-2.

  • Sein, D. V., Koldunov, N. V., Danilov, S., Sidorenko, D., Wekerle, C., Cabos, W., ... & Jung, T. (2018). The relative influence of atmospheric and oceanic model resolution on the circulation of the North Atlantic Ocean in a coupled climate model.J. Adv. Model. Earth Sy., doi: https://doi.org/10.1029/2018MS001327.

  • Badin, G. and Barry, A. (2018). Collapse of generalized Euler and surface quasi-geostrophic point-vortices. Phys. Rev. E, 98, 023110, doi.org/10.1103/PhysRevE.98.023110.

  • Juricke, S., MacLeod, D., Weisheimer, A., Zanna, L., & Palmer, T. (2018). Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty. Q. J. Roy. Meteor. Soc., doi: https://doi.org/10.1002/qj.3394.

    • ‹
    • …
    • 26
    • 27
    • 28
    • …
    • ›
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