Research community configurations

 

These configurations are intended for use by the JULES development and research community (they have been academically published and also approved for use by the relevant JULES module leaders), but are only maintained on an ad hoc basis rather than routinely (and are not guaranteed bit-comparable between JULES versions). If you are aware of a widely-used configuration that is not included here, then please send me the details (see email address below) - either in Rose suite format or as a set of namelists (along with a version number of the version of JULES for which they are appropriate):

ConfigurationDescription

Source / Suite ID

(AM = Alberto Martínez de la Torre at CEH Wallingford)

Global Water Resources Reanalysis 2 (WRR2) (see 2014 E2O newsletter here)

Intended to be the best JULES hydrology options for GB under the UKEP project (Martínez-de la Torre et al., in prep.) and its extrapolation for global applications under the earth2observe project. The main difference with other configurations is the use of a new development to include a terrain slope dependency in the saturation excess surface runoff production scheme (see jules_hydrology and jules_pdm namelists). This development has been part of the trunk since JULESvn4.9.

An iLAMB evaluation exercise of this configuration together with the core configurations is available here.

 

 

AM's suite for use with JULESvn4.5 and WFDEI data: u-ai199.

(Note: This suite uses WFDEI 3-hourly driving data, with 'nb' temporal interpolation flag SWdown and LWdown, and 1 hour timestep (as it is set up for daily and monthly outputs). Please see note about WFDEI data here for other options)

UK CHESS ConfigurationFor use with CHESS data over UK (minus Shetland and N. Ireland) at 1 km resolution with prescribed vegetation (CHESS = Climate, Hydrological and Ecological research Support System)

AM's suite u-au394 developed from WRR2 but modified for 1 km resolution CHESS data, with the C4 grass PFT replaced with crop land cover.

See paper in review 2018.

FLUXNET ConfigurationFor use Fluxnet data at single- or multiple-sites.

See suite u-al752 (the 'Multiple sites' branch) developed by Patrick McGuire at Univ. Reading (based upon the u-al752 trunk, as developed by Karina Williams at the Met Office and Anna Harper at Univ. Exeter from a UKESM setup), which is described in more detail in his March 2018 tutorial here.

Alternatively, see u-ap091 developed by Heather Rumbold from GL6 (with local (gap filled) atmospheric forcing + IGBP land cover + HWSD soils).

CEH Global WFDEI 0.5° with TRIFFID (will be developed from UKESM when frozen)
CEH Global WFDEI 0.5° without TRIFFID (i.e. with prescribed vegetation)  
Snow configuration

by Cécile Ménard, used for JULES simulations in ESM-SnowMIP stage 1. Adapted from JULES-C and John Edwards's configurations for plot-scale simulations with observed meteorological forcing.

Namelists: Package icon JULES_snow_nml.zip

Details: PDF icon Notes_JULES_snow_configuration.pdf

Snow configurationby John Edwards, described here.u-ai433, u-ah563
JULES-ImpactsSee Kate Halladay's and Richard Betts's 2017 presentation and also Anna Harper's 2016 presentation. 
JULES-ML (Managed Land)See Anna Harper's and Andy Wiltshire's 2016 presentation. 
JULES-Crop configurationsSee the configurations on the JULES Crop page. and also mentioned here. 
JULES-FireFor use with the INFERNO fire model and also mentioned here. 
Configurations with 9 or 13 PFTs

See here and here (including the configurations  JULES-TRIFFID2 and JULES-Trait (final one mentioned here)).

A JULES-IMOGEN configuration has also been developed by Eddy Comyn-Platt for the CLIFFTOP project (see slide 7 here), designed to use the most up-to-date carbon cycle features available in JULESvn4.8.

JULES-C2: u-aa458

Please 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 on land-only runs.
For benchmarking tests for some of these configurations, see the evaluation page. Finally, many other configurations are in use in the community (on the Rosie Go database), but these are not intended for wide, general use.