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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Cited articles

Alexander, M. R., Rollinson, C. R., Babst, F., Trouet, V., and Moore, D. J. P.: Relative influences of multiple sources of uncertainty on cumulative and incremental tree-ring-derived aboveground biomass estimates, Trees, 32, 265–276, https://doi.org/10.1007/s00468-017-1629-0, 2018. a
Amthor, J. S.: The McCree–de Wit–Penning de Vries–Thornley Respiration Paradigms: 30 Years Later, Ann. Botany, 86, 1–20, https://doi.org/10.1006/anbo.2000.1175, 2000. a
Archambault, S. and Bergeron, Y.: Lac Duparquet – THOC – ITRDB CANA106 – RWL, NOAA National Centers for Environmental Information, https://doi.org/10.25921/rmbz-ga96, 2002. a
Babst, F., Alexander, M. R., Szejner, P., Bouriaud, O., Klesse, S., Roden, J., Ciais, P., Poulter, B., Frank, D., Moore, D. J., and Trouet, V.: A tree-ring perspective on the terrestrial carbon cycle, Oecologia, 176, 307–322, https://doi.org/10.1007/s00442-014-3031-6, 2014a. a, b, c
Babst, F., Bouriaud, O., Alexander, R., Trouet, V., and Frank, D.: Toward consistent measurements of carbon accumulation: A multi-site assessment of biomass and basal area increment across Europe, Dendrochronologia, 32, 153–161, https://doi.org/10.1016/j.dendro.2014.01.002, 2014b. a, b
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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.
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