Articles | Volume 11, issue 1
Research article
15 Jan 2015
Research article |  | 15 Jan 2015

On-line and off-line data assimilation in palaeoclimatology: a case study

A. Matsikaris, M. Widmann, and J. Jungclaus

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Cited articles

Annan, J. D. and Hargreaves, J. C.: Identification of climatic state with limited proxy data, Clim. Past, 8, 1141–1151,, 2012.
Annan, J. D., Crucifix, M., Edwards, T. L., and Paul, A.: Parameter estimation using paleodata assimilation, PAGES news, 21, 78–79, 2013.
Bhend, J., Franke, J., Folini, D., Wild, M., and Brönnimann, S.: An ensemble-based approach to climate reconstructions, Clim. Past, 8, 963–976,, 2012.
Branstator, G., Teng, H. Y., Meehl, G. A., Kimoto, M., Knight, J. R., Latif, M., and Rosati, A.: Systematic Estimates of Initial-Value Decadal Predictability for Six AOGCMs, J. Climate, 25, 1827–1846,, 2012.
Bretherton, C. S., Widmann, M., Dymnikov, V. P., Wallace, J. M., and Blade, I.: The effective number of spatial degrees of freedom of a time-varying field, J. Climate, 12, 1990–2009, 1999.
Short summary
We compare an off-line and an on-line ensemble-based data assimilation method, for the climate of the 17th century. Both schemes perform better than the simulations without DA, and similar skill on the continental and hemispheric scales is found. This indicates either a lack of control of the slow components in our setup or a lack of skill in the information propagation on decadal timescales. The temporal consistency of the analysis in the on-line method makes it generally more preferable.