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 processes are already included in climate models but their importance has not yet completely been clarified. The simulation of other processes requires sometimes a higher resolution of the model or an extension by additional subsystems. The incorporation of those processes 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

Remote control on North Atlantic Oscillation predictability via the stratosphere

2017 - Quart. J. R. Meteor. Soc., 143 (703B). pp. 706-719

Hansen, F., Greatbatch, R. J., Gollan, G., Jung, T. and Weisheimer, A. (2017), . DOI 10.1002/qj.2958.

Hansen, F. | R.J. Greatbatch, G. Gollan, T. Jung and A. Weisheimer

State-Dependence of Atmospheric Response to Extratropical North Pacific SST Anomalies

2017 - Journal of Climate, 30 (2). pp. 509-525

Zhou, G. | M. Latif, R. J. Greatbatch and W. Park

Interannual variability of tropical Pacific Sea level from 1993 to 2014

2017 - Journal of Geophysical Research: Oceans, 122 (1). pp. 602-616

Zhu, X. | R.J. Greatbatch and M. Claus

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