The configurations listed here are those that are currently considered 'core' by the JULES management and science committees.
Note that the JULES core configurations are currently being revised and updated and advice on which configuration to use for both coupled and standalone JULES will likely change once the next versions of UKESM and GL/GA have been released (probably before the end of 2018) (and the JULES docs repo, which currently holds a slightly different list of configurations including the deprecated UKESM1 and EURO4, should also be updated at that point).
Source / Suite ID
The UK Earth System Model
Get suite IDs Rosie Go by searching for "UKESM1" or "JULES-ES".
JULES-ES is the current configuration used in the CMIP6 Earth System setup and supercedes:
- JULES-C (the original 'carbon cycle' config)
- JULES-C-1p1 (JULES-C with an improved seasonal cycle)
- JULES-CN (JULES-C-1p1 with the new soil biogeochemistry model)
Global Land vn7.0 (GL7.0)
See links in the GMED wiki.
For coupled runs (i.e. used in conjunction with the Global Atmosphere (GA) configuration), see website for suite IDs or search Rosie Go for "GL7.0".
GL is a configuration of JULES being developed by the UKMO and John Edwards (see Walters et al. 2014, Walters et al. 2017 and this table of Rose suites). GL7.0 is the current configuration used in the CMIP6 Physical Model setup
Operational global NWP forecast
General info here.
Search Rosie Go.
Operational UK Variable-resolution (UKV) forecast
Search Rosie Go.
Note: From page 29 and fig 19 of Lock-et-al-2016-DiurnalKD16_v1.compressed.pdf regarding canopy height, UKV now requires all C3 grass to be 1.46 m tall (although this is currently being reviewed).
Note that inclusion in these tables is not intended to mean a configuration is necessarily 'recommended' for your particular use of JULES: these are configurations that have been tried and tested in particular situations and therefore should be consistent and accurate in those contexts, but you will have to assess for yourself whether it is suitable for your application of JULES. For example, in many operational configurations intended for the UM configurations are optimised for best results across ocean and sea ice surfaces as well as land surface, which means that they may not be as optimal as other configurations for land-only runs.
n.b. Because of the greater testing requirements for coupled configurations, and therefore correspondingly longer lead times for version releases, offline model setups will usually include more up-to-date science than their closest coupled counterparts. For benchmarking tests for some of these configurations, see the evaluation page.