Our research foci include:


Climate analysis

•    Understanding the functioning of the climate system (mean and variability)
•    Exploring the influence of polar climate change on the weather and climate in middle latitudes
•    Deciphering the role of the polar regions in the global climate system

Climate modelling

•    Development of sea ice-ocean models based on unstructured mesh methods and their incorporation in climate models.
•    Exploring the benefit of variable resolution in climate modelling
•    Development of the next generation of high-resolution sea ice models
•    Representation of ice shelf-ocean in global climate models
•    Coupling of biogeochemical process modelling with our models
•    Contributions to international Model Intercomparison Projects (MIPs)

Climate prediction & Climate change projections

•    Determining the limits of predictability
•    Improvement of operational forecasting systems
•    Representation of uncertainty in climate models
•    Provision of reliable projections for the 21st century
•    Assessment of future sea level rise
•    Understanding the physics of climate change

Data assimilation

•    Development and application of inverse modelling and variational approaches
•    Implementation and application of of ensemble based data assimilation methods
•    Diagnosis of the origin of model error

Main focus

Physics of the climate system

For climate scientists the main motivation of their research lies in the understanding of the...

Selected publications from different fields of expertise:

Sea ice modelling

Losch, M. , Menemenlis, D. , Campin, J. M. , Heimbach, P. and Hill, C. (2010): On the formulation of sea-ice models. Part 1: Effects of different solver implementations and parameterizations.nOcean Modelling, 33144, 129. doi:10.1016/j.ocemod.2009.12.008

Danilov, S., Wang, Q., Timmermann, R., Iakovlev, N., Sidorenko, D.,  Kimmritz,  M., Jung, T.  and Schröter, J. (2015): Finite-Element Sea Ice Model (FESIM), version 2, Geosci. Model Dev. , under review, doi:10.5194/gmdd-8-855-2015

Climate modelling

Sidorenko, D. , Rackow, T. , Jung, T. , Semmler, T. , Barbi, D. , Danilov, S. , Dethloff, K. , Dorn, W. , Fieg, K. , Gößling, H. F. , Handorf, D. , Harig, S. , Hiller, W. , Juricke, S. , Losch, M. , Schröter, J. , Sein, D. and Wang, Q. (2014): Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate, Climate Dynamics. doi:10.1007/s00382-014-2290-6

Ocean modelling

Wang, Q. , Danilov, S. , Sidorenko, D. , Timmermann, R. , Wekerle, C. , Wang, X. , Jung, T. and Schröter, J. (2014): The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model, Geoscientific Model Development, 7 (2), 663-693. doi:10.5194/gmd-7-663-2014

Ice shelf-ocean modelling

Losch, M. (2008): Modeling ice shelf cavities in a z coordinate ocean general circulation model, Journal of Geophysical Research, 113, C08043. doi:10.1029/2007JC004368

Timmermann, R. , Wang, Q. and Hellmer, H. (2012): Ice shelf basal melting in a global finite-element sea ice/ice shelf/ocean model, Annals of Glaciology, 53 (60). doi:10.3189/2012AoG60A156

Data assimilation

Losch, M. , Strass, V. , Cisewski, B. , Klaas, C. and Bellerby, R. G. (2014) : Ocean state estimation from hydrography and velocity observations during EIFEX with a regional biogeochemical ocean circulation model, Journal of Marine Systems, 129, pp. 437-451. doi:10.1016/j.jmarsys.2013.09.003


Jung, T., M. A. Kasper, T. Semmler, and S. Serrar (2014), Arctic influence on subseasonal midlatitude prediction, Geophys. Res. Lett., 41, 3676–3680, doi:10.1002/2014GL059961.


Juricke, S. , Goessling, H. F. and Jung, T. (2014): Potential sea ice predictability and the role of stochastic sea ice strength perturbations , Geophysical Research Letters, 41 (23), pp. 8396-8403 . doi: 10.1002/2014GL06208