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

Related authors

Simulating Bark Beetle Outbreak Dynamics and their Influence on Carbon Balance Estimates with ORCHIDEE r7791
Guillaume Marie, Jina Jeong, Hervé Jactel, Gunnar Petter, Maxime Cailleret, Matthew McGrath, Vladislav Bastrikov, Josefine Ghattas, Bertrand Guenet, Anne-Sofie Lansø, Kim Naudts, Aude Valade, Chao Yue, and Sebastiaan Luyssaert
EGUsphere, https://doi.org/10.5194/egusphere-2023-1216,https://doi.org/10.5194/egusphere-2023-1216, 2023
Short summary

Related subject area

Biogeosciences
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
Jalisha T. Kallingal, Johan Lindström, Paul A. Miller, Janne Rinne, Maarit Raivonen, and Marko Scholze
Geosci. Model Dev., 17, 2299–2324, https://doi.org/10.5194/gmd-17-2299-2024,https://doi.org/10.5194/gmd-17-2299-2024, 2024
Short summary
The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python
Benjamin Post, Esteban Acevedo-Trejos, Andrew D. Barton, and Agostino Merico
Geosci. Model Dev., 17, 1175–1195, https://doi.org/10.5194/gmd-17-1175-2024,https://doi.org/10.5194/gmd-17-1175-2024, 2024
Short summary
AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach
Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, Remy Fieuzal, and Eric Ceschia
Geosci. Model Dev., 17, 997–1021, https://doi.org/10.5194/gmd-17-997-2024,https://doi.org/10.5194/gmd-17-997-2024, 2024
Short summary
SAMM version 1.0: a numerical model for microbial- mediated soil aggregate formation
Moritz Laub, Sergey Blagodatsky, Marijn Van de Broek, Samuel Schlichenmaier, Benjapon Kunlanit, Johan Six, Patma Vityakon, and Georg Cadisch
Geosci. Model Dev., 17, 931–956, https://doi.org/10.5194/gmd-17-931-2024,https://doi.org/10.5194/gmd-17-931-2024, 2024
Short summary
A model of the within-population variability of budburst in forest trees
Jianhong Lin, Daniel Berveiller, Christophe François, Heikki Hänninen, Alexandre Morfin, Gaëlle Vincent, Rui Zhang, Cyrille Rathgeber, and Nicolas Delpierre
Geosci. Model Dev., 17, 865–879, https://doi.org/10.5194/gmd-17-865-2024,https://doi.org/10.5194/gmd-17-865-2024, 2024
Short summary

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
Download
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.