Changeset 838 in lmdz_wrf for trunk


Ignore:
Timestamp:
Jun 16, 2016, 4:49:26 PM (8 years ago)
Author:
lfita
Message:

Fixing file name

File:
1 moved

Legend:

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  • trunk/tools/model_graphics_template.dat

    r836 r838  
    11### ASCII file to manage `model_graphics.bash'
     2# Different assumptions are made:
     3#   model outputs are organized as ${ifold}/${model}/${sim}
     4#   script outputs will be organized as ${ofold}/${model}/${sim}
     5#   when diagnostic might be required a new file will be created
     6#   WRF outputs will have added 'WRFtime' variable
    27
    38# python HOME
    49HOMEpy = ${HOME}/etudes/WRF_LMDZ/svn/LMDZ_WRF/tools
    510
     11# Folder with the files
     12
     13ifold = /bdd/PCER/workspace/lfita/etudes/WRF_LMDZ/WaquaL/WRF_LMDZ
     14
     15# Output folder
     16ofold = /bdd/PCER/workspace/lfita/etudes/WRF_LMDZ/WaquaL/WRF_LMDZ
     17
     18# Experiments (model runs)
     19#   WRF: WRF
     20#   LMDZ: LMDZ model
     21#   WRF_LMDZ: LMDZ physics coupled to WRF
     22models=WRF:WRF_LMDZ:LMDZ
     23
     24# Simulations (labels of the simualtions from each experiment)
     25WRFsims = control:pbl1
     26LMDZsims = AR40:NPv31
     27WRF_LMDZsims = AR40:NPv31
     28
     29# Kind of calculations (adding the euiqvalent `surname' to each variable)
     30#   acc: temporal accumulated values
     31#   diff: differences between models
     32#   direct: no statistics
     33#   Lsec: latitudinal section (latitudinal value must be given, [var]@[lat])
     34#   lsec: longitudinal section (longitudinal value must be given, [var]@[lat])
     35#   lmean: longitudinal mean values
     36#   tmean: temporal mean values
     37#   zsum: vertical aggregated values
     38
     39varkinds = direct:tmean:lmean:diff
     40
     41# variables (providing CF-name, script must provide equivalent variable for each model)
     42#   in foudre values from: ${HOME}/UNSW-CCRC-WRF/tools/postprocess/GMS-UC/WRF4G/util/postprocess/wrfncxnj/wrfncxnj.table
     43#   must exist on the table $pyHOME/variables_values.dat
     44direct = 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
     45tmean = prc:prls:zmla:hfss:hfls:evspsbl:bils:uas:vas:tas:ps:clt:cllmh:prw:huss:pr:wakes:wakeh:stherm:zmaxth
     46lmean = ta:ua:va:hur
     47diff = ualmean:valmean:talmean:huslmean:uas:vas:ps:pr
     48
     49# Kind of plots
     50#   diffmap2Dsfc: 2D map of surface differences values of 1 variable
     51#   diffmap2Dz: 2D map of 3D differences values of 1 variable
     52#   hovm: Hovmoeller diagrams of 1 variable
     53#   map2Dsfc: 2D map of surface values of 1 variable
     54#   map3D: 2D map of 3D values of 1 variable
     55#   shadcount2D: 2D map of shadow (1st variable) and countour (2nd variable) [var1]@[var2] (no `surname' = 'direct')
     56shadcount2D = 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
     57diffmap2Dsfc = uas:vas:ps:pr
     58diffmap2Dz = ualmean:valmean:talmean:huslmean
     59
     60# Pressure levels
     61#   Common vertical pressure levels to compute vertical differences
     62plevels = 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.
     63
     64# Figures output
     65kindfig = pdf
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