Articles | Volume 14, issue 9
Geosci. Model Dev., 14, 5891–5913, 2021
https://doi.org/10.5194/gmd-14-5891-2021
Geosci. Model Dev., 14, 5891–5913, 2021
https://doi.org/10.5194/gmd-14-5891-2021

Methods for assessment of models 29 Sep 2021

Methods for assessment of models | 29 Sep 2021

Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models

Jina Jeong et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Mirena Feist-Polner on behalf of the Authors (24 Sep 2020)  Author's response
ED: Referee Nomination & Report Request started (05 Oct 2020) by Christian Folberth
RR by Anonymous Referee #1 (15 Oct 2020)
ED: Reconsider after major revisions (30 Oct 2020) by Christian Folberth
AR by Jina Jeong on behalf of the Authors (10 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (23 Dec 2020) by Christian Folberth
RR by Anonymous Referee #3 (08 Jan 2021)
ED: Reconsider after major revisions (20 Jan 2021) by Christian Folberth
AR by Jina Jeong on behalf of the Authors (17 Mar 2021)  Author's response    Author's tracked changes
ED: Reconsider after major revisions (04 Apr 2021) by Christian Folberth
AR by Jina Jeong on behalf of the Authors (16 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (03 Jun 2021) by Christian Folberth
AR by Jina Jeong on behalf of the Authors (13 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Jul 2021) by Christian Folberth
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Short summary
We have proposed and evaluated the use of four benchmarks that leverage tree-ring width observations to provide more nuanced verification targets for land-surface models (LSMs), which currently lack a long-term benchmark for forest ecosystem functioning. Using relatively unbiased European biomass network datasets, we identify the extent to which presumed biases in the much larger International Tree-Ring Data Bank might degrade the validation of LSMs.