Articles | Volume 16, issue 3
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, Veronika Valler, Stefan Brönnimann, Raphael Neukom, and Fernando Jaume-Santero

Data sets

Ensemble Kalman Fitting Paleo-Reanalysis Version 1 (EKF400_v1) J. Franke, S. Brönnimann, J. Bhend, and Y. Brugnara

PAGES2k Global 2,000 Year Multiproxy Database PAGES2k Consortium

Northern Hemisphere 1250 Year N-TREND Summer Temperature Reconstructions R. J. S Wilson, K. J. Anchukaitis, K. R. Briffa, U. Büntgen, E. R. Cook, R. D. D'Arrigo, N. K. Davi, J. Esper, D. C. Frank, B. E. Gunnarson, G. C. Hegerl, S. Helama, S. Klesse, P. J. Krusic, H. W. Linderholm, V. S. Myglan, T. J. Osborn, M. Rydval, L. Schneider, A. P. Schurer, G. Wiles, P. Zhang, and E. Zorita

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.