This dataset includes six sets of model output from JULES/IMOGEN simulations. Each set includes output from JULES (the Joint UK Land Environment Simulator) run with 34 climate change patterns from 2000-2099. The outputs provide carbon stocks and variables related to the surface energy budget to understand the implications of land-based climate mitigation.
Publication date: 2019-01-09
JULES is a community model available for use after registering on the JULES repository (https://code.metoffice.gov.uk/trac/jules). The model version used here was r9448, which is a branch of vn4.8 with updates to represent harvesting of bioenergy crops and for running IMOGEN in inverse mode (using specified temperature pathways instead of specified concentration pathways). To use JULES-IMOGEN, patterns from 34 GCMs are needed, which are available from https://doi.org/10.5285/343885af-0f5e-4062-88e1-a9e612f77779. JULES requires a series of input files (initial conditions, model grid, CO2 concentration, land-use per grid cell, soil parameters, etc.). These are provided in the “ancillary_files” directory of the dataset.
JULES can be run with a system called Rose, which stores model settings. We also include an excel spreadsheet with the suites used for the Harper et al. (2018) paper. The suites are available from https://code.metoffice.gov.uk/trac/roses-u (registration required).
The original IMAGE land use data is available from https://data.knmi.nl/datasets?q=PBL. We used v17 land fractions from SSP2-SPA0-RCP1.9 and SSP2-SPA2-RCP2.6. These were regridded from half degree to the N48 resolution using ESMF Regrid patch interpolation method from NCAR Command Language (http://ncl.ucar.edu/Document/Functions/ESMF/ESMF_regrid.shtml). The actual fractions used in the simulations are in both the input and output files.
For further details, see Harper et al. (https://doi.org/10.1038/s41467-018-05340-z). The experimental design is the same as in Comyn-Platt et al. (https://doi.org/10.1038/s41561-018-0174-9), which also has a linked dataset for the historical period.