CRG Climate System Data Assimilation

The CliSAP research group (CRG) 'Data assimilation in the climate system' combines numerical models with observations through data assimilation. The group’s overall goal is to contribute to the understanding of the dynamics of the large-scale ocean circulation. We are especially interested on the ocean’s role in seasonal-to-decadal variability and predictability.

Further details of our work can be found on the group’s website at the Institute of Oceanography.

Latest Research Group Publications

  • Badin, G., & Domeisen, D. (2016). Nonlinear stratospheric variability: multifractal de-trended fluctuation analysis and singularity spectra. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 472(2191). doi:10.1098/rspa.2015.0864.
  • Baehr, J., Fröhlich, K., Botzet, M., Domeisen, D., Kornblueh, L., Notz, D., Piontek, R., Pohlmann, H., Tietsche, S., & Müller, W. A. (2015). The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model. Climate Dynamics, 44, 2723-2735. doi:10.1007/s00382-014-2399-7.
  • Dobrynin, M., Murawski, J., Baehr, J., & Ilyina, T. (2015). Detection and attribution of climate change signal in ocean wind waves. Journal of Climate, 28, 1578-1591. doi:10.1175/JCLI-D-13-00664.1.
  • Domeisen, D., Butler, A., Fröhlich, K., Bittner, M., Mueller, W. A., & Baehr, J. (2015). Seasonal predictability over Europe arising from El Niño and stratospheric variability in the MPI-ESM seasonal prediction system. Journal of Climate, 28, 256-271. doi:10.1175/JCLI-D-14-00207.1.
  • Fischer, M. (2015). Changes in the predictability of the North Atlantic ocean under global warming. PhD Thesis, Universität Hamburg, Hamburg.