Published October 3, 2022
| Version v2
Dataset
Open
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSIC)
Authors/Creators
- 1. Département de géographie, Université de Montréal; Centre d'Études Nordiques
- 2. Centre de recherche sur les interactions bassins versants-écosystèmes aquatiques (RIVE), Université du Québec à Trois-Rivières; Centre d'Études Nordiques
- 3. Climate Research Division, Environment and Climate Change Canada, Victoria, Canada
- 4. Biometeorology and Soil Physics Group, University of British Columbia
- 5. Department of Soil Science, University of Manitoba
- 6. Institute of Arctic Biology, University of Alaska Fairbanks
- 7. Graduate School of Agriculture, Osaka Metropolitan University
- 8. Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology
- 9. Department of Renewable Resources, University of Alberta; Département de géographie, Université de Montréal
- 10. Département de géographie, Université de Montréal; Cold Regions Research Centre, Wilfrid Laurier University
Description
A boreal forest model benchmarking dataset for North America by harmonizing eddy covariance and supporting measurements from black spruce (Picea mariana)-dominated mature forest stands.
Dataset glossary and users’ instructions are documented in ‘README.md’.
Files
CLASSIC_performance_monthly_metrics.png
Files
(157.4 MB)
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