Title: A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSIC)
Citation: Bo Qu, Oliver Sonnentag, Alexandre Roy, Joe R. Melton, T. Andrew Black, Brian Amiro, Eugénie S. Euskirchen, Masahito Ueyama, Hideki Kobayashi, Christopher Schulze, Gabriel Hould Gosselin, & Alex J. Cannon. (2022). A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme including Biogeochemical Cycles (CLASSIC) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7266010
Study Site: Boreal Canada
Purpose: 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.
Abstract: Dataset glossary and users’ instructions are documented in ‘README.md’.
Supplemental Information Summary:
Research:
Further Info: Qu, Bo & Roy, Alexandre & Melton, Joe & Black, Andy & Amiro, Brian & Euskirchen, Eugénie & Ueyama, Masahito & Kobayashi, Hideki & Schulze, Christopher & Hould Gosselin, Gabriel & Cannon, Alex & detto, Matteo & Sonnentag, Oliver. (2023). A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC). Environmental Research Letters. 18. 10.1088/1748-9326/ace376.
Status: Complete
Keywords:
carbon dioxide,
modeling,
meteorology,
Geographical coordinates: North: 83.15, South: 41.909 East: -52.619 West: -141.010
Bounding Temporal Extent: Start Date: , End
Date:
