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

Austral Winter External and Internal Atmospheric Variability between 1980 and 2014

2016 - Geophysical Research Letters, 43 (5). pp. 2234-2239

Ding, H. | R.J. Greatbatch, H. Lin, F. Hansen, G. Gollan and T. Jung

Atlantic Multidecadal Variability in a model with an improved North Atlantic Current

2016 - Geophysical Research Letters, 43 (15). pp. 8199-8206

Drews, A. | R. J. Greatbatch

Classification of stratospheric extreme events according to their downward propagation to the troposphere

2016 - Geophys. Res. Lett., Vol. 43, pp. 6665–6672

Runde, T., | M. Dameris, H. Garny, and D. E. Kinnison

Easy Volcanic Aerosol (EVA v1.0): An idealized forcing generator for climate simulations

2016 - Geosci. Model Dev., Vol. 9, pp. 4049-4070

Toohey, M. | B. Stevens, H. Schmidt and C. Timmreck

Contact

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