### ASCII file to manage `model_graphics.bash'
# Different assumptions are made:
#   model outputs are organized as ${ifold}/${model}/${sim}
#   script outputs will be organized as ${ofold}/${model}/${sim}
#   when diagnostic might be required a new file will be created
#   WRF outputs will have added 'WRFtime' variable

# python HOME
HOMEpy = ${HOME}/etudes/WRF_LMDZ/svn/LMDZ_WRF/tools

# Folder with the files

ifold = /bdd/PCER/workspace/lfita/etudes/WRF_LMDZ/WaquaL/WRF_LMDZ

# Output folder
ofold = /bdd/PCER/workspace/lfita/etudes/WRF_LMDZ/WaquaL/WRF_LMDZ

# Experiments (model runs)
#   WRF: WRF
#   LMDZ: LMDZ model
#   WRF_LMDZ: LMDZ physics coupled to WRF
models=WRF:WRF_LMDZ:LMDZ

# Simulations (labels of the simualtions from each experiment)
WRFsims = control:pbl1
LMDZsims = AR40:NPv31
WRF_LMDZsims = AR40:NPv31

# Kind of calculations (adding the euiqvalent `surname' to each variable)
#   acc: temporal accumulated values
#   diff: differences between models
#   direct: no statistics
#   Lsec: latitudinal section (latitudinal value must be given, [var]@[lat]) 
#   lsec: longitudinal section (longitudinal value must be given, [var]@[lat])
#   lmean: longitudinal mean values
#   tmean: temporal mean values
#   zsum: vertical aggregated values

varkinds = direct:tmean:lmean:diff

# variables (providing CF-name, script must provide equivalent variable for each model)
#   in foudre values from: ${HOME}/UNSW-CCRC-WRF/tools/postprocess/GMS-UC/WRF4G/util/postprocess/wrfncxnj/wrfncxnj.table
#   must exist on the table $pyHOME/variables_values.dat
direct = tas:uas:vas:ps:pr:pracc:rsds:prw:rhs:evspsbl:hfss:hfls:hurs:huss:zmla:hufs:wakes:lwakeh:stherm:zmaxth:clt:cllmh:prc:prls:bils
tmean = prc:prls:zmla:hfss:hfls:evspsbl:bils:uas:vas:tas:ps:clt:cllmh:prw:huss:pr:wakes:wakeh:stherm:zmaxth
lmean = ta:ua:va:hur
diff = ualmean:valmean:talmean:huslmean:uas:vas:ps:pr

# Kind of plots
#   diffmap2Dsfc: 2D map of surface differences values of 1 variable
#   diffmap2Dz: 2D map of 3D differences values of 1 variable
#   hovm: Hovmoeller diagrams of 1 variable
#   map2Dsfc: 2D map of surface values of 1 variable
#   map3D: 2D map of 3D values of 1 variable
#   shadcount2D: 2D map of shadow (1st variable) and countour (2nd variable) [var1]@[var2] (no `surname' = 'direct')
shadcount2D = huslmean@talmean:valmean@ualmean:tas@ps:uas@vas:pr@rsds:prw@huss:prls@prc:hfls@hfss:evspsbl@bils:zmaxth@stherm:wakeh@wakes:zmaxth@stherm:prls@prc:clt@cll:clh@clm
diffmap2Dsfc = uas:vas:ps:pr
diffmap2Dz = ualmean:valmean:talmean:huslmean

# Pressure levels
#   Common vertical pressure levels to compute vertical differences
plevels = 100000.,97500.,95000.,92500.,90000.,85000.,80000.,75000.,70000.,65000.,60000.,55000.,50000.,45000.,40000.,35000.,30000.,25000.,20000.,15000.,10000.,5000.,2500.,1000.,500.,250.

# Figures output 
kindfig = pdf