Published February 8, 2024 | Version v1
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JULES output from PRIME version 1

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Description

This is JULES output from the PRIME v1 framework in support of the PRIME documentation paper submitted to GMD. Data includes three SSP scenarios SSP1.2-6, SSP5.3-4-OS and SSP5.8-5 with data split into three tar files with an appropriate name for each scenario (Table 1). In each tarfile there are data for each of the 9 percentiles (Table 2) used for the analysis and each of the JULES output variables (Table 3) that are included in the paper. All are zipped netcdf files with naming convention as follows.

<scenario name> / <ensemble member number>_ssprcmip_<scenario name>_<variable>_ens.nc.gz

3 scenarios:

Scenario name used in data files Scenario name used in paper
ssp126 SSP1-2.6

ssp534_over

 SSP5-3.4-OS
ssp585 SSP5-8.5

Table 1: Scenario names used in datafiles and the corresponding name used in the paper.

9 ensemble members across the range of FaIR outputs: 

Percentile Ensemble member
0.0 431
0.01 2037
0.05 1669
0.25 2236
0.5 1469
0.75 1523
0.95 1294
0.99 1015
1.0 1251

Table 2: List of percentiles and their appropriate ensemble member (the ensemble members are used in filenames)

JULES output variables used in paper:

Variable notation in filename Variable definition in JULES userguide. 
precip Gridbox precipitation rate  (kg m-2 s-1).
t1p5m_gb Gridbox temperature at 1.5m (K)
cv Gridbox mean vegetation carbon at end of model timestep (kg m-2)
frac Fractional cover of each surface type.
resp_s_to_atmos_gb Respired carbon from soil carbon emitted to atmosphere (kg m-2 s-1).
gpp_gb Gridbox gross primary productivity of biomass expressed as carbon (kg m-2 s-1).
npp_n_gb Gridbox net primary productivity of biomass expressed as carbon after nitrogen limitation (kg C m-2 (360days)-1).
runoff Gridbox runoff rate (kg m-2 s-1).

Table 3: List of JULES variables included in the dataset. The JULES variable names are abbreviated in the filenames, this table translates what the name given in the filename means in terms of the data provided. 

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