Module B - Processes and Modelling

The main goal of Module B is to improve the understanding of processes leading to decadal climate variability. Several of these have already been included in climate models, but their importance has not yet been completely clarified. The simulation of other processes requires sometimes a higher resolution of the model or an extension with additional subsystems. Their incorporation leads to an improvement of the MiKlip prediction system in addition to a bias correction. To reach these goals we pursue the following objectives:

Objective B1: Assessing the effects of enhanced resolution and model bias
Objective B2: Investigating mechanisms of decadal variability
Objective B3: Coupling of additional climate subsystems

Tropical rainfall predictions from multiple seasonal forecast systems

2018 - International Journal of Climatology, Vol. 39, no.2, 974-988

Scaife, A. | Ferranti, L., Alves, O., Athanasidis, P., Baehr, J., Deque, M., Dippe, T., Dunestone, N., Fereday, D., Gudgel, R.G., 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.

Energy budget-based backscatter in a shallow water model of a double gyre basin

2018 - Ocean Modelling Vol. 132, pp 1-11

Klöwer, M. | Jansen, M.F., Claus, M., Greatbatch, R.J., Thomsen, S.

The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design

2018 - Geosci. Model Dev., 11, 2581-2608

Claudia Timmreck | Graham W. Mann, Valentina Aquila, Rene Hommel, Lindsay A. Lee, Anja Schmidt, Christoph Brühl, Simon Carn, Mian Chin, Sandip S. Dhomse, Thomas Diehl, Jason M. English, Michael J. Mills, Ryan Neely, Jianxiong Sheng, Matthew Toohey, and Debra Weisenstein


Freie Universität Berlin, Institut für Meteorologie
Prof. Dr. Ulrich Cubasch

Freie Universität Berlin, Institut für Meteorologie
Dr. Kerstin Prömmel

Freie Universität Berlin, Institut für Meteorologie
Janice Scheffler