Articles | Volume 14, issue 9
https://doi.org/10.5194/gmd-14-5891-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5891-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
29 Sep 2021
Methods for assessment of models |
| 29 Sep 2021
| 29 Sep 2021
Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models
Department of Ecological Sciences, VU University, 1081HV Amsterdam, the Netherlands
Jonathan Barichivich
Laboratoire des Sciences du Climat et de l’Environnement, IPSL, CNRS/CEA/UVSQ, 91191 Gif-sur-Yvette, France
Instituto de Geografía, Pontificia Universidad Católica de Valparaíso, Valparaíso, Brasil 2950, Chile
Philippe Peylin
Laboratoire des Sciences du Climat et de l’Environnement, IPSL, CNRS/CEA/UVSQ, 91191 Gif-sur-Yvette, France
Vanessa Haverd
CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia
deceased, 29 January 2021
Matthew Joseph McGrath
Laboratoire des Sciences du Climat et de l’Environnement, IPSL, CNRS/CEA/UVSQ, 91191 Gif-sur-Yvette, France
Nicolas Vuichard
Laboratoire des Sciences du Climat et de l’Environnement, IPSL, CNRS/CEA/UVSQ, 91191 Gif-sur-Yvette, France
Michael Neil Evans
Department of Geology & ESSIC, University of Maryland, MD 20742-4211, USA
Flurin Babst
Dendro Sciences Group, Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA
Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ 85721, USA
Sebastiaan Luyssaert
Department of Ecological Sciences, VU University, 1081HV Amsterdam, the Netherlands
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Cited
11 citations as recorded by crossref.
- Tree rings uncover dynamic linkages of Earth spheres S. Gao et al. 10.1016/j.scib.2024.10.015
- Bell-shaped tree-ring responses to air temperature drive productivity trends in long-lived mountain Mediterranean pines G. Piovesan et al. 10.1016/j.scitotenv.2023.164103
- Fading regulation of diurnal temperature ranges on drought-induced growth loss for drought-tolerant tree species X. Zhang et al. 10.1038/s41467-023-42654-z
- Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning P. Bodesheim et al. 10.1017/eds.2022.8
- Sensitivity of sub-annual grey pine (Pinus sabiniana) stem growth to water supply and demand in central California J. Ho et al. 10.1016/j.dendro.2024.126253
- Global pattern of forest disturbances and its shift under climate change J. Altman et al. 10.1016/j.scitotenv.2024.170117
- A 500-year annual runoff reconstruction for 14 selected European catchments S. Nasreen et al. 10.5194/essd-14-4035-2022
- Tree-ring based forest model calibrations with a deep learning algorithm X. Yu et al. 10.1016/j.foreco.2024.122154
- Moving ecological tree-ring big data forwards: Limitations, data integration, and multidisciplinarity R. Manzanedo et al. 10.1016/j.scitotenv.2024.177244
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- A triple tree-ring constraint for tree growth and physiology in a global land surface model J. Barichivich et al. 10.5194/bg-18-3781-2021
9 citations as recorded by crossref.
- Tree rings uncover dynamic linkages of Earth spheres S. Gao et al. 10.1016/j.scib.2024.10.015
- Bell-shaped tree-ring responses to air temperature drive productivity trends in long-lived mountain Mediterranean pines G. Piovesan et al. 10.1016/j.scitotenv.2023.164103
- Fading regulation of diurnal temperature ranges on drought-induced growth loss for drought-tolerant tree species X. Zhang et al. 10.1038/s41467-023-42654-z
- Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning P. Bodesheim et al. 10.1017/eds.2022.8
- Sensitivity of sub-annual grey pine (Pinus sabiniana) stem growth to water supply and demand in central California J. Ho et al. 10.1016/j.dendro.2024.126253
- Global pattern of forest disturbances and its shift under climate change J. Altman et al. 10.1016/j.scitotenv.2024.170117
- A 500-year annual runoff reconstruction for 14 selected European catchments S. Nasreen et al. 10.5194/essd-14-4035-2022
- Tree-ring based forest model calibrations with a deep learning algorithm X. Yu et al. 10.1016/j.foreco.2024.122154
- Moving ecological tree-ring big data forwards: Limitations, data integration, and multidisciplinarity R. Manzanedo et al. 10.1016/j.scitotenv.2024.177244
2 citations as recorded by crossref.
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- A triple tree-ring constraint for tree growth and physiology in a global land surface model J. Barichivich et al. 10.5194/bg-18-3781-2021
Latest update: 20 Nov 2024
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.
We have proposed and evaluated the use of four benchmarks that leverage tree-ring width...
