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ensemble.yaml
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ensemble.yaml
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# parameters for ensemble.py
template: ../1deg_jra55_iaf_ensemble # relative path to a control experiment; perturbations are based on the latest commit to the current branch
startfrom: 131 # if integer: restart number of control experiment to use as initial condition for perturbation experiments; or use 'rest' to start perturbations from rest
nruns: 51 # total number of output directories to generate for each ensemble member
namelists: # parameter values to use for ensemble
ice/cice_in.nml:
shortwave_nml:
albicei: [ 0.36, 0.39, 0.44, 0.47 ]
albicev: [ 0.78, 0.81, 0.86, 0.90 ]
snowpatch: [ 0.005, 0.01, 0.02, 0.04 ]
thermo_nml:
chio: [ 0.001, 0.002, 0.003, 0.004, 0.006, 0.008 ] # see Uotila et al 2012
dynamics_nml:
turning_angle: [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 16, 18, 20, 22, 24, 26 ] # NB: special name: turning angle in degrees used to specify cosw, sinw
dragio: [ 0.004, 0.008 ]
mu_rdg: [ 2, 3, 4, 5 ]
ndte: [ 120, 240 ]
# revised_evp: [ true, false ] # true requires a shorter timestep (at least at first)
ocean/input.nml:
# auscom_ice_nml:
# aice_cutoff: [ ]
ocean_vert_mix_nml:
j09_bgmax: [ 1.e-6, 1.e-5 ]