source: branches/2012/dev_v3_4_STABLE_2012/NEMOGCM/CONFIG/ORCA2_LIM/IGCM00/COMP/opa9.card @ 4642

[Compatibility]
libIGCM=1.0

[UserChoices]
OPA_NDT_DAY=15
#==============================================================
#-- Name of directory for COMMON ACCOUNT at idris or CCRT
#-- available directories are:  v3_2, v3_3, v3_4
#-- related to NEMO_tag_revision (nemo_v3, nemo_v3_1, nemo_v3_2_beta)
#-- NOTE: if you use COMMON ACCOUNT you have to de-comment it
OPA_version=v3_4
#==============================================================

#===================================
#-- Use (y) or not (n) of io_server
io_server=n
#===================================

#-- if you run interannual is "y", if not (=climatology) is "n"
Interannual_Run=n

[Interannual]
#==================================================================================================
#-- Surface Boundary Condition original files name ( get by the job ) same as the ones in namelist
#==================================================================================================
#-- NOTE: MANDATORY STRUCTURE OF FILE NAMES GET BY THE JOB : 
#-- "basename_yyyy.nc"     ( for interannual data )
#-- "basename.nc"    ( for climatologycal data )
#-- MANDATORY: NAMES USED IN List_jobsbc VARIABLE MUST BE ONLY THE BASENAME

# default climatology, bulk_clio: 
#List_jobsbc=(flx, taux_1m, tauy_1m)
# example for interannual, bulk core, forcing CORE2:
List_jobsbc=(u_10.15JUNE2009_orca2, v_10.15JUNE2009_orca2, ncar_rad.15JUNE2009_orca2, t_10.15JUNE2009_orca2, q_10.15JUNE2009_orca2, ncar_precip.15JUNE2009_orca2)
# example for interannual, bulk core, forcing DRAKKAR:
#List_jobsbc=(radlw_DFS4-ORCA2, radsw_DFS4-ORCA2, q2_DFS4-ORCA2, t2_DFS4-ORCA2, u10_DFS4-ORCA2, v10_DFS4-ORCA2, snow_DFS4-ORCA2, precip_DFS4-ORCA2)


[InitialStateFiles]
List= ()

[BoundaryFiles]
List= ()
ListNonDel= (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/ahmcoef, .), \
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/bathy_level.nc, .), \
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/bathy_meter.nc, .), \
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/coordinates.nc, .), \
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/data_1m_potential_temperature_nomask.nc, .), \
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/data_1m_salinity_nomask.nc, .), \
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/geothermal_heating.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/runoff_core_monthly.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/sss_data.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/sst_data.nc, .),\
       (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/subbasins.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/chlorophyll.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/K1rowdrg.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/M2rowdrg.nc, .),\
            (${R_BC}/OCE/${config_UserChoices_TagName}/${opa9_UserChoices_OPA_version}/mask_itf.nc, .)




[ParametersFiles]
List= (${SUBMIT_DIR}/PARAM/namelist,         namelist), \
   (${SUBMIT_DIR}/PARAM/iodef.xml,        iodef.xml),      \
        (${SUBMIT_DIR}/PARAM/xmlio_server.def, xmlio_server.def)

[RestartFiles]
List= (${config_UserChoices_JobName}_${NEMO_END}_restart.nc,  restart.nc, restart.nc)

[OutputText]
List=   (ocean.output, solver.stat, STRAIT.dat, out_nemo)

[OutputFiles]
List=   (${PREFIX_WF1}_grid_T.nc,         ${R_OUT_OCE_WF1}/${PREFIX}_${WF1}_grid_T.nc,               Post_5D_grid_T),\
        (${PREFIX_WF1}_grid_U.nc,         ${R_OUT_OCE_WF1}/${PREFIX}_${WF1}_grid_U.nc,               Post_5D_grid_U) ,\
        (${PREFIX_WF1}_grid_V.nc,         ${R_OUT_OCE_WF1}/${PREFIX}_${WF1}_grid_V.nc,               Post_5D_grid_V),\
        (${PREFIX_WF1}_grid_W.nc,         ${R_OUT_OCE_WF1}/${PREFIX}_${WF1}_grid_W.nc,               Post_5D_grid_W),\
        (${PREFIX_WF2}_grid_T.nc,         ${R_OUT_OCE_WF2}/${PREFIX}_${WF2}_grid_T.nc,               Post_1M_grid_T),\
        (${PREFIX_WF3}_grid_T.nc,         ${R_OUT_OCE_WF3}/${PREFIX}_${WF3}_grid_T.nc,               Post_1Y_grid_T),\
        (mesh_mask.nc     ,               ${R_OUT_OCE_O}/${config_UserChoices_JobName}_mesh_mask.nc, NONE),\
        (output.abort.nc  ,               ${R_OUT_OCE_D}/${PREFIX}_output.abort.nc,                  NONE),\
        (output.init.nc   ,               ${R_OUT_OCE_O_I}/${config_UserChoices_JobName}_${PeriodDateBegin}_output.init.nc, NONE)

[Post_1Y_grid_T]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal = (nav_lon, nav_lat, deptht, time_counter)
TimeSeriesVars = (sohtc300, sohefldo, soicecov, somxl010, sosaline, sossheig, sosstsst, sowaflcd, sowaflup)

[Post_1M_grid_T]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal = (nav_lon, nav_lat, deptht, time_counter)
TimeSeriesVars = (sohtc300, sohefldo, soicecov, somxl010, sosaline, sossheig, sosstsst, sowaflcd, sowaflup)

[Post_5D_grid_T]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal = (nav_lon, nav_lat, deptht, time_counter)
TimeSeriesVars = (sohtc300, sohefldo, soicecov, somxl010, sosaline, sossheig, sosstsst, sowaflcd, sowaflup)

[Post_5D_grid_U]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal = (nav_lon, nav_lat, depthu, time_counter)
TimeSeriesVars = (sozotaux)

[Post_5D_grid_V]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal = (nav_lon, nav_lat, depthv, time_counter)
TimeSeriesVars = (sometauy)

[Post_5D_grid_W]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal = (nav_lon, nav_lat, depthw, time_counter)
TimeSeriesVars =

[Post_time]
Patches = (Patch_20091030_histcom_time_axis)
GatherWithInternal =
TimeSeriesVars =