Benchmarking data and outputs for CLASSIC v. 1.0
<p><strong>CLASSIC v. 1.0 model inputs and outputs for benchmarking </strong></p> <p>This dataset is used by scripts in the <a href="https://zenodo.org/record/3522407">CLASSIC codebase</a> along with the <a href="https://zenodo.org/record/3525249">CLASSIC Singularity software container</a>.<strong> Please ensure you obtain them prior to using this dataset. Instructions are provided on the CLASSIC <a href="https://cccma.gitlab.io/classic_pages/info/get_started/">Quick Start Guide</a>.</strong></p> <p>This dataset contains <a href="https://fluxnet.fluxdata.org/data/fluxnet2015-dataset/">FLUXNET2015</a> data that is used to benchmark the <a href="https://cccma.gitlab.io/classic_pages/">Canadian Land Surface Scheme including Biogeochemical Cycles </a>(CLASSIC) v. 1.0. All model inputs required for the (31 for version 1.0) <a href="https://cccma.gitlab.io/classic_pages/benchmarking/">FLUXNET sites</a> are provided along with example outputs that benchmark CLASSIC v. 1.0. The model outputs include raw model outputs, plots of select variables and benchmarking results from the Automated Model Benchmarking (<a href="https://cran.r-project.org/package=amber">AMBER</a>) package. Following the the CLASSIC <a href="https://cccma.gitlab.io/classic_pages/info/get_started/">Quick Start Guide</a> will generate all outputs on the user's own machine.</p> <p>This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The ERA-Interim reanalysis data are provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux and AsiaFlux offices.</p> <p>We thank C. Le Quéré for allowing us to distribute her CO<sub>2</sub> record that was originally made for the TRENDY project.</p> <p> </p> <p> </p> <p> </p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Topics
Dataset details
- Repository
- zenodo
- Published
- October 31, 2019
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.3525335
Scored with release 0.9.0
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