Subset of data for turnover time of land carbon (tau) for model evaluations using ESMValTool

Data files and conventions At each spatial resolution, four data files are provided: tau_ctotal_fx_Carvalhais2014_BE_gn.nc - global data of tau_ctotal tau_ctotal_fx_Carvalhais2014_BE_gnz.nc - zonal data of tau_ctotal r_tau_ctotal_tas_fx_Carvalhais2014_BE_gnz.nc - zonal correlation of tau_ctotal and tas, controlled for pr r_tau_ctotal_pr_fx_Carvalhais2014_BE_gnz.nc - zonal correlation of tau_ctotal and pr, controlled for tas.

The data is produced in obs4MIPs standards, and provided in netCDF4 format. The filenames use the convention: {variable}_{frequency}_{source_label}_{variant_label}_{grid_label}.nc {variable}: variable name {frequency}: temporal frequency of data {source_label}: observational source {variant_label}: observation variant {grid_label}: a standard label of spatial grids Refer to Obs4MIPs Data Specifications (esgf-node.llnl.gov/site_media/projects/obs4mips/ODSv2p1.pdf) for details of the definitions above.

All data variables have additional variables ({variable}_5 and {variable}_95) in the same file. How to cite This dataset should be referred to with the following citations: Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., ... & Ahrens, B. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems.

Nature, 514(7521), 213-217. Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., ... & Carvalhais, N. (2020). ESMValTool v2.0–extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP.

Geoscientific Model Development.

Usage notes

The usage of this data should follow the guidelines in the documentation of the ESMValTool recipe at esmvaltool.readthedocs.io/en/latest/recipes/recipe_carvalhais2014nat.html. This dataset is intended for research uses through ESMValTool only. Any questions related to the data, as well as its use for other research purpose should be corresponded to Nuno Carvalhais (ncarval@bgc-jena.mpg.de) or Sujan Koirala (skoirala@bgc-jena.mpg.de) at the Max Planck Institute for Biogeochemistry.

This dataset was previously published via the GeoDB data portal hosted at the Max-Planck-Institut for Biogeochemistry, Jena.