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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Status: closed
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (06 Jan 2020) by Keely Mills
AR by Svenja Lange on behalf of the Authors (09 Mar 2020)  Author's response
ED: Referee Nomination & Report Request started (26 Mar 2020) by Keely Mills
RR by Anonymous Referee #1 (17 Apr 2020)
ED: Publish subject to minor revisions (review by editor) (21 Apr 2020) by Keely Mills
AR by Jörg Franke on behalf of the Authors (30 Apr 2020)  Author's response    Manuscript
ED: Publish as is (12 May 2020) by Keely Mills
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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.