Articles | Volume 14, issue 9
https://doi.org/10.5194/gmd-14-5891-2021
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, Jonathan Barichivich, Philippe Peylin, Vanessa Haverd, Matthew Joseph McGrath, Nicolas Vuichard, Michael Neil Evans, Flurin Babst, and Sebastiaan Luyssaert

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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 Jina Jeong on behalf of the Authors (01 Sep 2020)  Manuscript 
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
AR by Jina Jeong on behalf of the Authors (10 Jul 2021)  Manuscript 
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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.