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

  • Scaife, A., Ferranti, L., Alves, O., Athanasiadis, P., Baehr, J., Dequé, M., Dippe, T., Dunstone, N., Fereday, D., Gudgel, R., Greatbatch, R., Hermanson, L., Imada, Y., Jain, S., Kumar, A., MacLachlan, C., Merryfield, W., Müller, W. A., Ren, H.-L., Smith, D., Takaya, Y., Vecchi, G., & Yang, X. (2019). Tropical rainfall predictions from multiple seasonal forecast systems. International Journal of Climatology, 39, 974-988. doi:10.1002/joc.5855.
  • Brune, S., Düsterhus, A., Pohlmann, H., Müller, W. A., & Baehr, J. (2018). Time dependency of the prediction skill for the North Atlantic subpolar gyre in initialized decadal hindcasts. Climate Dynamics, 51, 1947-1970. doi:10.1007/s00382-017-3991-4.
  • Borchert, L., Müller, W. A., & Baehr, J. (2018). Atlantic Ocean heat transport influences interannual-to-decadal surface temperature predictability in the North Atlantic region. Journal of Climate, 31, 6763-6782. doi:10.1175/JCLI-D-17-0734.1.
  • Müller, W. A., Jungclaus, J. H., Mauritsen, T., Baehr, J., Bittner, M., Budich, R. G., Bunzel, F., Esch, M., Ghosh, R., Haak, H., Ilyina, T., Kleinen, T., Kornblueh, L., Li, H., Modali, K., Notz, D., Pohlmann, H., Roeckner, E., Stemmler, I., Tian, F., & Marotzke, J. (2018). A higher-resolution version of the Max Planck Institute Earth System Model (MPI-ESM 1.2 - HR). Journal of Advances in Modeling Earth Systems, 10, 1383 -1413. doi:10.1029/2017MS001217.
  • Dobrynin, M., Domeisen, D., Müller, W. A., Bell, L., Brune, S., Bunzel, F., Fröhlich, C., Pohlmann, H., & Baehr, J. (2018). Improved teleconnection-based dynamical seasonal predictions of boreal winter. Geophysical Research Letters, 45, 3605-3614. doi:10.1002/2018GL077209.