This version of ORCHIDEE has been used in Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for land-surface models by Jina Jeong, Jonathan Barichivich, Philippe Peylin, Vanessa Haverd, Matthew J. McGrath, Nicolas Vuichard, Mike Evans, and Sebastiaan Luyssaert << Reference to be added as soon as the manuscript is available >>.


The search for a long-term benchmark for land-surface models (LSM) has brought tree-ring data to the attention of the land-surface community because they recorded growth well before human-induced environmental changes became important. The most comprehensive archive of publicly shared tree-ring data is the International Tree-ring Data Bank (ITRDB). Records in the ITRDB have, however, been collected almost exclusively to reconstruct past climate and hydrological variability, which may limit its use as a data source for benchmarking. The aim of this study is to propose advances in land-surface modelling and data processing to enable the land-surface community to re-use the ITRDB data as a much-needed century-long benchmark. Given that tree-ring width is largely explained by tree size and climate sensitivity, LSMs that intend to use it as a benchmark should at least simulate size-dependent growth, differently-sized trees within a stand, and responses to changes in temperature, precipitation and atmospheric CO2 con¬cen¬tra¬tions. Even if the LSM is capable of simulating tree-ring width, sampling biases in the ITRDB need to be accounted for. This study proposes two solutions: exploiting the observation that the variation due to size-related growth by far exceeds the variation due to environmental changes; and simulating a size-structured population of trees. Combining the proposed advances in modelling and data processing resulted in four complementary benchmarks each described by two quantitative metrics. Although the proposed benchmarks are unlikely to be exact when applied on ITRDB data, they advance the field by providing a much-needed large-scale constraint on the maximum tree diameter and annual growth for the transition from pre-industrial to present-day environmental conditions. Hence, the proposed benchmarks are likely to enhance the value of the ITRDB archive, stimulate the dendrochronological community to refine its sampling protocols, and help the modelling community to move beyond the short-term benchmarking of LSM.

Code access


DOI 10.14768/20200228001.1
Creator Sebastiaan Luyssaert
Affiliation VU Amsterdam
Title ORCHIDEE_CN_CAN revision 5698
Publisher Institut Pierre Simon Laplace (IPSL)
PublicationYear 2019
ResourceType Software
Rights This software is distributed under the CeCILL license
Subject Land surface model, International Tree Ring Data Bank (ITRDB), long-term benchmark for tree growth
DataManager Karim Ramage (IPSL)
DataCurator Josefine Ghattas (IPSL)
ContactPerson Sebastiaan Luyssaert (VU Amsterdam)
FundingReference VERIFY project under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 776810; Centre National de la Recherche Scientifique (CNRS) through the program "Make Our Planet Great Again”; Earth Systems and Climate Change Hub by the Australian Government’s National Environmental Science Program
Last modified 2 years ago Last modified on 03/04/20 14:13:26