Articles | Volume 13, issue 5
Clim. Past, 13, 545–557, 2017
https://doi.org/10.5194/cp-13-545-2017
Clim. Past, 13, 545–557, 2017
https://doi.org/10.5194/cp-13-545-2017

Research article 31 May 2017

Research article | 31 May 2017

Assimilation of pseudo-tree-ring-width observations into an atmospheric general circulation model

Walter Acevedo et al.

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Cited articles

Acevedo, W., Reich, S., and Cubasch, U.: Towards the assimilation of tree-ring-width records using ensemble Kalman filtering techniques, Clim. Dynam., 46, 1909–1920, https://doi.org/10.1007/s00382-015-2683-1, 2015.
Amezcua, J., Ide, K., Kalnay, E., and Reich, S.: Ensemble transform Kalman-Bucy filters, Q. J.Roy. Meteor. Soc., 140, 995–1004, https://doi.org/10.1002/qj.2186, 2014.
Annan, J. D. and Hargreaves, J. C.: Identification of climatic state with limited proxy data, Clim. Past, 8, 1141–1151, https://doi.org/10.5194/cp-8-1141-2012, 2012.
Barkmeijer, J., Iversen, T., and Palmer, T. N.: Forcing singular vectors and other sensitive model structures, Q. J. Roy. Meteor. Soc., 129, 2401–2423, https://doi.org/10.1256/qj.02.126, 2003.
Bhend, J., Franke, J., Folini, D., Wild, M., and Brönnimann, S.: An ensemble-based approach to climate reconstructions, Clim. Past, 8, 963–976, https://doi.org/10.5194/cp-8-963-2012, 2012.
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Short summary
The purpose of this study is to contribute to the present knowledge of paleo data assimilation techniques by addressing the following two questions: (i) Does the off-line regime naturally appear for the assimilation of tree-ring-width records into an AGCM? (ii) Is the fuzzy logic (FL)-based extension of a forward model still useful to improve the performance of a time-averaged ensemble Kalman filter technique when a climate model is used?