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Massonnet, F., Fichefet, T., Goosse, H., Vancoppenolle, M., Mathiot, P., and König Beatty, C.: On the influence of model physics on simulations of Arctic and Antarctic sea ice, The Cryosphere, 5, 687–699, doi:10.5194/tc-5-687-2011, 2011.


Vannitsem, S.: Bias correction and post-processing under climate change, Nonlinear Processes in Geophysics, 18, 911–924, doi:10.5194/npg-18-911-2011, 2011.


Vannitsem, S. and Hagedorn, R.: Ensemble forecast postprocessing over Belgium: Comparison of deterministic-like and ensemble regression methods, Meteorol. Appl., 18, 1, 94–104, doi:10.1002/met.217, 2011.


Van Schaeybroeck, B. and Vannitsem, S. Post-processing through linear regression, Nonlin. Processes Geophys., 18, 147-160 doi:10.5194/npg-18-147-2011, 2011.





Mathiot, P., König Beatty, C., Fichefet, T., Goosse, H., Massonnet, F., and Vancoppenolle, M.: Better constraints on the sea-ice state using global sea-ice data assimilation, Geoscientific Model Development, 5, 1501–1515, doi:10.5194/gmd-5-1501-2012, 2012.


Roulin, E. and Vannitsem, S.: Postprocessing of Ensemble Precipitation Predictions with Extended Logistic Regression Based on Hindcasts, Monthly Weather Review, 140, 874–888, doi: 10.1175/MWR-D-11-00062.1, 2012.


Van Schaeybroeck, B. and Vannitsem, S. Toward post-processing of ensemble forecasts based on hindcasts. Publications scientifiques et techniques Royal Meteorological Institute Belgium, 61, 2012.





Close, S. E. and Goosse, H.: Entrainment-driven modulation of Southern Ocean mixed layer properties and sea ice variability in CMIP5 models, Journal of Geophysical Research: Oceans, doi:10.1002/jgrc.20226, 2013.


Dubinkina, S. and Goosse, H.: An assessment of particle filtering methods and nudging for climate state reconstructions, Climate of the Past, 9, 1141–1152, doi:10.5194/cp-9-1141-2013, 2013.


Goosse, H., Roche, D. M., Mairesse, A., and Berger, M.: Modelling past sea ice changes, Quaternary Science Reviews, 79, 191–206, doi: 10.1016/j.quascirev.2013.03.011, 2013.


Massonnet, F., Mathiot, P., Fichefet, T., Goosse, H., König Beatty, C., Vancoppenolle, M., and Lavergne, T.: A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980–2008 using data assimilation, Ocean Modelling, 64, 67–75, doi:10.1016/j.ocemod.2013.01.003, 2013.


Van Schaeybroeck, B. and Vannitsem, S.: Reliable Probabilities Through Statistical Post-processing of Ensemble Forecasts, in: Proceedings of the European Conference on Complex Systems 2012, edited by Gilbert, T., Kirkilionis, M., Nicolis, G., and Vannitsem, S., vol. III, pp. 347–352, doi:10.1007/978-3-319-00395-5_45, 2013.


Zunz, V., Goosse, H., and Massonnet, F.: How does inter-annual variability influence the ability of CMIP5 models to reproduce the recent trend in Southern Ocean sea ice extent?, The Cryosphere, 7, 451–468, doi:10.5194/tc-7-451-2013, 2013.






Barth, A., Beckers, J.- M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L.: divand-1.0: n-dimensional variational data analysis for ocean observations, Geoscientific Model Development, 7, 225–241, doi:10.5194/gmd-7-225-2014, 2014.


Goosse, H. and Zunz, V.: Decadal trends in the Antarctic sea ice extent ultimately controlled by ice–ocean feedback, The Cryosphere, 8, 453–470, doi:10.5194/tc-8-453-2014, 2014.


Massonnet, F., Goosse, H., Fichefet, T. and Counillon, F.: Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter, J. Geophys. Res. Ocean., 119(7), 4168–4184, 2014.


Vannitsem, S.: Dynamics and predictability of a low-order wind-driven ocean– atmosphere coupled model, Climate Dynamics, 42, 1981–1998, doi:10.1007/s00382-013-1815-8, 2014.


Van Schaeybroeck, B. and Vannitsem, S., 2014.  A probabilistic approach to forecast the uncertainty with ensemble spread, Monthly Weather Review (in revision), 2014.





Barth, A., Canter, M., Van Schaeybroeck, B., Vannitsem, S., Massonnet, F., Zunz, V., Mathiot, P., Alvera-Azcárate, A., and Beckers, J.-M.: Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean, Ocean Modelling (in revision), 2015.


Roulin E., and Vannitsem S., Post-processing of medium-range probabilistic hydrological forecasting: impact of forcing, initial conditions and model errors, Hydrol. Process., 29, 1434–1449, doi:10.1002/hyp.10259, 2015.


Van Schaeybroeck, B. and Vannitsem, S. Ensemble postprocessing using memberbymember approaches: theoretical aspects, Quarterly Journal of the Royal Meteorological Society, 141: 807–818, doi:10.1002/qj.2397, 2015a.


Van Schaeybroeck, B. and Vannitsem, S. Assessment of calibration assumptions under strong climate changes, Geophysical Research Letters (in revision), 2015b.


Van Schaeybroeck, B., Mailier, P. and Vannitsem, S. Ensemble post-processing in Belgium based on reforecasts, Weather and Forecasting (in preparation), 2015.


Zunz, V., Goosse, H., and Dubinkina, S.: Impact of the ini- tialisation on the predictability of the Southern Ocean sea ice at interannual to multi-decadal timescales, Climate Dynamics, 44, 2267-2286, doi:10.1007/s00382-014-2344-9, 2015.


Zunz, V. and Goosse, H.: Influence of freshwater input on the skill of decadal forecast of sea ice in the Southern Ocean, The Cryosphere, 9, 541-556, doi:10.5194/tc-9-541-2015, 2015.