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.

Data sets

Ensemble Kalman Fitting Paleo-Reanalysis Version 1 (EKF400_v1) J. Franke, S. Brönnimann, J. Bhend, and Y. Brugnara https://doi.org/10.1594/WDCC/EKF400_v1

PAGES2k Global 2,000 Year Multiproxy Database PAGES2k Consortium https://www.ncdc.noaa.gov/paleo-search/study/21171

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 https://www.ncdc.noaa.gov/paleo-search/study/19743

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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.