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  • Chrysagi, E., Basdurak, N.B., Umlauf, L., Gräwe, U. & Burchard, H. (2022). Thermocline Salinity Minima Due To Wind-Driven Differential Advection. J. Geophys. Res.- Oceans 127(11), doi: https://doi.org/10.1029/2022JC018904. 

  • Danilov, S. (2022). On the resolution of triangular meshes. J. Adv. Model Earth Sy. 14, e2022MS003177, doi: https://doi.org/10.1029/2022MS003177. 

  • Carpenter, J.R., Buckley, M.P., & Veron, F. (2022). Evidence of the critical layer mechanism in growing wind waves. J. Fluid Mech. 94(26), doi: https://doi.org/10.1017/jfm.2022.714.

  • Streffing, J., Scholz, P., Koldunov, N., Danilov, S., Juricke, S., Jung, T. et al. (2022). AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model. Geosci. Model Dev. 15, 6399–6427, doi: https://doi.org/10.5194/gmd-15-6399-2022. 

  • Strommen, K., Juricke, S. & Cooper, F. (2022). Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation. Weather Clim. Dynam. 3(3), 951–975, doi: https://doi.org/10.5194/wcd-3-951-2022.

  • Pollmann, F. (2022). Global characterization of the ocean's internal gravity wave vertical wavenumber spectrum from Argo float profiles [Data set]. Zenodo, doi: https://doi.org/10.5281/zenodo.6966416. 

  • Carpenter, J.R., Liang, Y., Timmermans, M.-L. & Heifetz, E. (2022). Physical mechanisms of the linear stabilization of convection by rotation. Phys. Rev. Fluids 7(8), 083501, doi: https://doi.org/10.1103/PhysRevFluids.7.083501.

  • Ionita, M., Nagavciuc, V., Scholz, P. & Dima, M. (2022). Long-term drought intensification over Europe driven by the weakening trend of the Atlantic Meridional Overturning Circulation. J. Hydrol. Reg. Stud. 42, 101176, doi: https://doi.org/10.1016/j.ejrh.2022.101176. 

  • Uchida, T., Danilov, S., Koldunov, N. et al. (2022). Cloud-based framework for inter-comparing submesoscale-permitting realistic ocean models. Geosci. Model Dev. 15, 5829–5856, doi: https://doi.org/10.5194/gmd-15-5829-2022. 

  • Franzke, C.L.E., Gugole, F. & Juricke, S. (2022). Systematic multi-scale decomposition of ocean variability using machine learning. Chaos: An Interdisciplinary Journal of Nonlinear Science 32(7), 073122, doi: https://doi.org/10.1063/5.0090064.