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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  • Sein, D.V., Gröger, M., Koldunov, N., et al. (2020). Regionally Coupled Atmosphere-Ocean-Marine Biogeochemistry Model ROM: 2. Studying the Climate Change Signal in the North Atlantic and Europe. J. Adv. Model Earth Sy. 12(8), doi: https://doi.org/10.1029/2019MS001646. 

  • 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.

  • 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., Vegas-Regidor, J., Bock, L., Brötz, B., De Mora, L., Diblen, F., Dreyer, L., Drost, N., Earnshaw, P., Hassler, B., Koldunov, N., Little, B., Tomas, S. L. & Zimmermann, K. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview. Geoscientific Model Development, 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.

  • Koldunov, N. V., Aizinger, V., Rakowsky, N., Scholz, P., Sidorenko, D., Danilov, S. & Jung, T. (2019). Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2). Geoscientific Model Development, 12(9), 3991–4012. https://doi.org/10.5194/gmd-12-3991-2019

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