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  • Banerjee, T., Danilov, S. & Klingbeil, K. (2024). Discrete variance decay analysis of spurious mixing. Ocean Modelling, accepted.

  • Kutsenko, A. (2024). Closed-form solutions for Bernoulli and compound Poisson branching processes in random environments. J. Stat. Mech. DOI 10.1088/1742-5468/ad83c8

  • Banerjee, T., Scholz, P., Danilov, S., Klingbeil, K. & Sidorenko, D. (2024). Split-explicit external mode solver in the finite volume sea ice–ocean model FESOM2. Geosci. Model Dev., 17, 7051-7065, doi: https://doi.org/10.5194/gmd-17-7051-2024. 

  • Li, X., Chrysagi, E., Klingbeil, K., & Burchard, H. (2024). Impact of islands on tidally dominated river plumes: A high-resolution modeling study. Journal of Geophysical Research: Oceans, 129, e2023JC020272. doi: https://doi.org/10.1029/2023JC020272.

  • Brüggemann, N., Losch, M., Scholz, P., Pollmann, F., Danilov, S., Gutjahr, O., Jungclaus, J., Koldunov, N., Korn, P., Olbers, D., Eden, C. (2024). Parameterized Internal Wave Mixing in Three Ocean General Circulation Models. Journal of Advances in Modeling Earth Systems, 16, e2023MS003768. doi: https://doi.org/10.1029/2023MS003768

  • Kutsenko, A.A. (2024) Complete Left Tail Asymptotic for the Density of Branching Processes in the Schröder Case. J Fourier Anal Appl 30, 39. https://doi.org/10.1007/s00041-024-10096-w

  • Holst, P., Rademacher, J.D.M. & Yang, J. (2024). Rotating Convection and Flows with Horizontal Kinetic Energy Backscatter. In: Henry, D. (eds) Nonlinear Dispersive Waves. Advances in Mathematical Fluid Mechanics. Birkhäuser, Cham. doi: https://doi.org/10.1007/978-3-031-63512-0_7.

  • Brecht, R. & Bihlo, A. (2024). M-ENIAC: A Physics-Informed Machine Learning Recreation of the First Successful Numerical Weather Forecasts. Geophysical Research Letters, 51, e2023GL107718, doi: https://doi.org/10.1029/2023GL107718.

  • Chang, Y., Li, X., Wang, Y.P., Klingbeil, K., Li, W., Zhang, F. & Burchard, H. (2024). Salinity mixing in a tidal multi-branched estuary with huge and variable runoff. Journal of Hydrology 634, 1-16, doi: https://doi.org/10.1016/j.jhydrol.2024.131094. 

  • Bagaeva, E., Danilov, S., Oliver, M. & Juricke, S. (2024). Advancing Eddy Parameterizations: Dynamic Energy Backscatter and the Role of Subgrid Energy Advection and Stochastic Forcing. J. Adv. Model Earth Sy. 16(4), doi: https://doi.org/10.1029/2023MS003972.