TRR 181 DFG
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    • Area M Mathematics, new concepts and methods
      • M1 Dynamical Systems Methods and Reduced Models in Geophysical Fluid Dynamics
      • M2 Systematic Multi-Scale Modelling and Analysis for Geophysical Flows
      • M3 Towards Consistent Subgrid Momentum Closures
      • M5 Reducing Spurious Mixing and Energetic Inconsistencies in Realistic Ocean-Modelling Applications
      • M7 Dynamics of Geophysical Problems in Turbulent Regimes
    • Area T Turbulence and boundary layer
      • T2 Ocean Surface Layer Energetics
      • T3 Energy Transfers in Gravity Currents
      • T4 SurfaceWave-Driven Energy Fluxes at the Air-Sea Interface
    • Area W Wave processes
      • W1 Gravity Wave Parameterization for the Atmosphere
      • W2 Scattering and Refraction of Low-Mode Internal Tides by Interaction With Mesoscale Eddies
      • W4 Gravity Wave Parameterization 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 Energy-Consistent Ocean-Atmosphere Coupling
      • L5 Paleoclimate Applications of Mixing Parameterizations in an Earth-System Model
    • Area S Synthesis with climate models
      • S1 Diagnosis and Metrics in Climate Models
      • S2 Improved Parameterizations and Numerics in Climate Models
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    • Synthesis Area S
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  1. Home
  2. Publications

Publications in Area S

Scientific publications are a metric for the success of a project. Our scientists publish in international renown journals or books. Have a look on what has been published so far.

Visit our profile on Publons to see more information about our publications research impact and citation metrics.

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  • Lorenz, M., Klingbeil, K. & Burchard, H. (2021). Impact of evaporation and precipitation on estuarine mixing relations. J. Phys. Oceanogr., doi: https://doi.org/10.1175/JPO-D-20-0158.1.

  • Lembo, V., Lucarini, V., & Ragone, F. (2019). Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model. Sci. Rep., doi: 10.1038/S41598-020-65297-2.

  • de la Vara, A., Cabos, W., Sein, D., Sidorenko, D., Koldunov, N., Koseki, S., Soares, P M. M., & Danilov, S. (2020). On the impact of atmospheric vs oceanic resolutions on the representation of the sea surface temperature in the South Eastern Tropical Atlantic. Clim. Dyn., doi: https://doi.org/10.1007/s00382-020-05256-9 (accepted).

  • Georgiou, S., Ypma, S. L., Brüggemann, N., Sayol, J. M., Pietrzak, J. D., & Katsman, C. A. (2020). Pathways of the water masses exiting the Labrador Sea: The importance of boundary-interior exchanges. Ocean Model., 101623, https://doi.org/10.1016/j.ocemod.2020.101623 .

  • Righi, M., Andela, B., Eyring, V., Lauer, A., Predoi, V., Schlund, M., ..., Koldunov, N., ... & Diblen, F. (2020). Earth System Model Evaluation Tool (ESMValTool) v2. 0-technical overview. Geosci. Model Dev., 13(3), 1179-1199, https://doi.org/10.5194/gmd-13-1179-2020.

  • Smolentseva, M., & Danilov, S. (2020). Comparison of several high-order advection schemes for vertex-based triangular discretization. Ocean Dyn., 70(4), 463-479, https://doi.org/10.1007/s10236-019-01337-4 .

  • Wang, Q., Wekerle, C., Wang, X., Danilov, S., Koldunov, N., Sein, D., ... & Jung, T. (2020). Intensification of the Atlantic Water supply to the Arctic Ocean through Fram Strait induced by Arctic sea ice decline. Geophys. Res. Lett., https://doi.org/10.1029/2019GL086682.

  • Bódai, T., Drótos, G., Herein, M., Lunkeit, F. & Lucarini, V. (2019). The forced response of the El Niño–Southern Oscillation-Indian monsoon teleconnection in ensembles of Earth System Models. J. Climate, https://doi.org/10.1175/JCLI-D-19-0341.1.

  • Scholz, P., Sidorenko, D., Gurses, O., Danilov, S., Koldunov, N., Wang, Q., Sein, D., Smolentseva, M., Rakowsky, N. & Jung, T. (2019). Assessment of the Finite VolumE Sea Ice Ocean Model (FESOM2.0), Part I: Description of selected key model elements and comparison to its predecessor version, Geosci. Model Dev., https://doi.org/10.5194/gmd-2018-329.

  • Sidorenko, D., Goessling, H. F., Koldunov, N. V., Scholz, P., Danilov, S., Barbi, D., Cabos, W., Gurses, O. Harig, S., Hinrichs, C., Juricke, S., Lohmann, G., Losch, M., Mu, L., Rackow, T., Rakowsky, N., Sein, D., Semmler, T., Shi, X., Stepanek, C., Streffing, J., Wang, Q., Wekerle, C., Yang, H. & Jung, T. ( 2019). Evaluation of FESOM2.0 coupled to ECHAM6.3: Pre‐industrial and HighResMIP simulations.J. Adv. Model Earth Sy., 11. doi:10.1029/2019MS001696.

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