Articles | Volume 16, issue 3
Clim. Past, 16, 1061–1074, 2020
https://doi.org/10.5194/cp-16-1061-2020
Clim. Past, 16, 1061–1074, 2020
https://doi.org/10.5194/cp-16-1061-2020

Research article 18 Jun 2020

Research article | 18 Jun 2020

The importance of input data quality and quantity in climate field reconstructions – results from the assimilation of various tree-ring collections

Jörg Franke 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, 2016. 
Allan, R. and Ansell, T.: A New Globally Complete Monthly Historical Gridded Mean Sea Level Pressure Dataset (HadSLP2): 1850–2004, J. Climate, 19, 5816–5842, https://doi.org/10.1175/JCLI3937.1, 2006. 
Babst, F., Bouriaud, O., Poulter, B., Trouet, V., Girardin, M. P., and Frank, D. C.: Twentieth century redistribution in climatic drivers of global tree growth, Sci. Adv., 5, eaat4313, https://doi.org/10.1126/sciadv.aat4313, 2019. 
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. 
Bradley, R. S.: Are there optimum sites for global paleotemperature reconstruction?, in: Climatic Variations and Forcing Mechanisms of the Last 2000 Years, vol. 3, Springer, Berlin, Heidelberg, Berlin, Heidelberg, 603–624 1996. 
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Short summary
This study explores the influence of the input data choice on spatial climate reconstructions. We compare three tree-ring-based data sets which range from small sample size, small spatial coverage and strict screening for temperature sensitivity to the opposite. We achieve the best spatial reconstruction quality by combining all available input data but rejecting records with little and uncertain climatic information and considering moisture availability as an additional growth limitation.