# -*- coding: iso-8859-1 -*- # Created : S.Sénési - nov 2015 # desc="\nCreation d'un atlas pour une simu, une grille et une liste de variables et de saisons \n"+\ " Exemples : \n"+\ " >>> python ./atlas.py -v tas,hfls -s NPv3.1ada_1982_1991\n"+\ "" # Avec CliMAF, cette etape est loin d'etre necessaire; on la réalise pour 'exposer' ces fichiers # dans une arborescence à laquelle sont habitues certains utilisateurs # Répertoire de base pour les entrées et les résultats #dir_default='/data/hourdin/LMDZ6/SE/ORIG' #dir_default='/prodigfs/fabric/LMDZ6/SE/ORIG' #dir_default='/prodigfs/ipslfs/dods/fabric/lmdz/SE/ORIG' # Gestion des options et arguments d'appel from optparse import OptionParser parser = OptionParser(desc) ; parser.set_usage("%%prog [-h]\n%s" % desc) #parser.add_option("-i", "--input", help="repertoire des donnes d'entree(defaut : %s)"%dir_default, # action="store",default=dir_default) parser.add_option("-i", "--input", help="repertoire des donnes d'entree(defaut : %s)", action="store",default=None) parser.add_option("-g", "--grid", help="nom de grille (default: VLR)", action="store",default='VLR') parser.add_option("-r", "--region", help="nom de zone (default: GLOB)", action="store",default='GLOB') parser.add_option("-p", "--season", help="saison a traiter " "(eg : JJA, DJF, YEAR, defaut=%YEAR)", action="store", default='YEAR') parser.add_option("-s", "--simulation", help="simulation+annees a traiter (sim_YYY1_YYY2) - laisser vide pour lister", action="store",default=None) parser.add_option("-t", "--reference", help="simulation de reference (sim_YYY1_YYY2, default=OBS) ", action="store",default='OBS') parser.add_option("-v", "--variables", help="liste des variables (separees par des virgules)", action="store",default=None) #parser.add_option("--root", help="Path to the root directory", action="store",default=None) parser.add_option("--root", help="Path to the root directory", action="store",default='None') parser.add_option("-f", "--force", help="force le recalcul de champs existants", action="store_true",default=None) parser.add_option("-o", "--pdf", help="nom du pdf de sortie (default: atlas__.pdf)", action="store") (opts, args) = parser.parse_args() #--------------------------------------------------------------------------------- import math from climaf.api import * from climaf.html import * # La description de l'organisation des données SE et des alias et rescalings # est partagée dans une micro-librairie : from lmdz_SE import * # svsg, all_SE_simulations from plot_params import plot_params #--------------------------------------------------------------------------------- # def apply_scale_offset(dat,scale,offset): return ccdo(ccdo(dat,operator='mulc,'+str(float(scale))),operator='addc,'+str(float(offset))) # #craz() if opts.simulation is None: print "Available simulations at %s are : "%opts.input, for s in all_SE_simulations() : print s, exit(0) # lvars=opts.variables if lvars is not None : lvars=lvars.split(',') else : lvars=variables_list # # Preparons une commande pour assembler les sorties Pdf if opts.pdf : pdffile=opts.pdf else: pdffile="atlas_"+opts.simulation+"_"+opts.season+".pdf" pdfargs=["pdfjam","--landscape","-o ",pdffile] # # Initialisation de l'index html index= header("LMDZ Atlas for "+opts.simulation+ " versus "+opts.reference+" ("+opts.season+")") index += cell('PDF',pdffile) index += section("2d vars", level=4) index += open_table() # # Titres de colonnes ref=opts.reference ; if (ref == 'OBS' ) : text_diff='bias' else: text_diff='diff' index+=open_line('VARIABLE')+cell('bias')+cell('rmse')+cell('mean')+cell(ref)+cell(text_diff)+\ cell('zonal')+cell('all')+cell('pdf')+close_line() # # -- Declare the script ml2pl for vertical interpolation cscript("ml2pl", "/home/jservon/Evaluation/CliMAF/Atlas_LMDz/ml2pl.sh -p ${var_2} -m ${var_1} ${in_1} ${out} ${in_2}", commuteWithTimeConcatenation=True, commuteWithSpaceConcatenation=True) # -- Vertical levels for the vertical interpolation fixed_fields("ml2pl",("press_levels.txt","/home/fabric/LMDZ/atlas/press_levels.txt")) # for variable in lvars : # Get the model and the reference if opts.root: simu=svsg(opts.simulation,variable,opts.season,opts.grid, root=opts.root) else: simu=svsg(opts.simulation,variable,opts.season,opts.grid) print 'variable = ',variable reff=svsg(opts.reference,variable,opts.season,opts.grid) # # If the variable is a 3D field: # - interpolate the variable on the standard pressure levels with ml2pl (L. Guez) # - Compute the difference model-ref with diff_zonmean (computes the zonal mean lat/pressure fields, # interpolates the model on the ref, both vertically and horizontally, and returns the difference) if is3d(variable) : simu_pres = svsg(opts.simulation,'pres',opts.season,opts.grid) simu = ml2pl(simu,simu_pres) simu = zonmean(simu) reff = zonmean(reff) diff = diff_zonmean(simu,reff) else: if (opts.grid == '' ) : reff=regrid(reff,simu) diff=minus(simu,reff) pparams = plot_params(variable,'full_field') vertical_interval = 'trYMaxF=1000|trYMinF=1' stringFontHeight=0.018 if is3d(variable): pparams.update({'options':vertical_interval}) stringFontHeight=0.03 # Map for simulation simu_fig=plot(simu,title="", gsnLeftString=variable, gsnCenterString=opts.simulation, gsnRightString=opts.season, gsnStringFontHeightF=stringFontHeight, mpCenterLonF=0, **pparams) simu_avg=cvalue(space_average(simu)) # # Map for reference ref_fig=plot(reff,title="", gsnLeftString=variable, gsnCenterString=ref, gsnRightString=opts.season, gsnStringFontHeightF=stringFontHeight, mpCenterLonF=0, **pparams) ref_avg=cvalue(space_average(reff)) # # Bias (or difference between simulations) map if (ref == 'OBS' ) : p=plot_params(variable,'bias') else: p=plot_params(variable,'model_model') tmp_aux_params = plot_params(variable,'full_field') scale = 1.0 ; offset = 0.0 if 'offset' in tmp_aux_params or 'scale' in tmp_aux_params: if 'offset' in tmp_aux_params: offset = tmp_aux_params['offset'] else: offset=0.0 if 'scale' in tmp_aux_params: scale = tmp_aux_params['scale'] else: scale=1.0 wreff = apply_scale_offset(reff,scale,offset) wsimu = apply_scale_offset(simu,scale,offset) else: wreff = reff wsimu = simu # if is3d(variable): p.update({'options':vertical_interval}) if variable in ['ua','va','ta','hus']: tmp_levs = tmp_aux_params['colors'] p.update({'contours':tmp_levs}) diff_fig=plot(diff,wreff,title="", format='png', mpCenterLonF=0, gsnLeftString=variable, gsnCenterString=opts.simulation+' - '+ref, gsnRightString=opts.season, gsnStringFontHeightF=stringFontHeight, aux_options='cnLineThicknessF=2|cnLineLabelsOn=True', **p) else: p.update({'contours':1}) diff_fig=plot(diff,title="", format='png', mpCenterLonF=0, gsnLeftString=variable, gsnCenterString=opts.simulation+' - '+ref, gsnRightString=opts.season, gsnStringFontHeightF=stringFontHeight, **p) # # Bias mean value, and RMSD/RMSE diff_avg=cvalue(space_average(diff)) rmsd=math.sqrt(cvalue(space_average(ccdo(diff,operator='-b F64 sqr')))) # # Zonal means if not is3d(variable): # -- apply a mask corresponding to the reference mask = divide(reff,reff) msimu = mul(wsimu,mask) # -- Compute the zonal mean zmean=ccdo(msimu, operator='zonmean') ref_zmean=ccdo(wreff, operator='zonmean') # sim=opts.simulation # zmean = ccdo(zmean,operator='-b F32 mulc,1') zmean_fig=curves(cens([sim,ref],zmean,ref_zmean), title="", lgcols=3, options=#'tiYAxisString=""|'+\ #'+\'+\ 'tmYROn=True|'+\ 'tmYRBorderOn=True|'+\ 'tmYLOn=False|'+\ 'tmYUseRight=True|'+\ 'vpXF=0|'+\ 'vpWidthF=0.66|'+\ 'vpHeightF=0.33|'+\ 'tmYRLabelsOn=True|'+\ 'tmXBLabelFontHeightF=0.018|'+\ 'tmYLLabelFontHeightF=0.016|'+\ 'lgLabelFontHeightF=0.018|'+\ #'pmLegendSide=Bottom|'+\ 'pmLegendOrthogonalPosF=-0.32|'+\ 'pmLegendParallelPosF=1.0|'+\ 'tmXMajorGrid=True|'+\ 'tmYMajorGrid=True|'+\ 'tmXMajorGridLineDashPattern=2|'+\ 'tmYMajorGridLineDashPattern=2|'+\ 'xyLineThicknessF=8|'+\ 'gsnLeftString='+variable+'|'+\ 'gsnCenterString='+opts.simulation+' vs '+ref+'|'+\ 'gsnRightString='+opts.season+'|'+\ 'gsnStringFontHeightF='+str(stringFontHeight)) # # Composite figure if is3d(variable): page=cpage([[simu_fig,ref_fig],[diff_fig,None]],orientation='landscape', page_trim=True, fig_trim=True) pdf_page=cpage([[simu_fig,ref_fig],[diff_fig,None]],orientation='landscape', page_trim=True, fig_trim=True, format='pdf', title=variable+" "+opts.simulation) else: page=cpage([[simu_fig,ref_fig],[diff_fig,zmean_fig]],orientation='landscape', page_trim=True, fig_trim=True) pdf_page=cpage([[simu_fig,ref_fig],[diff_fig,zmean_fig]],orientation='landscape', page_trim=True, fig_trim=True, format='pdf', title=variable+" "+opts.simulation) pdfargs.append(cfile(pdf_page)) # thumbnail_size = 200 if is3d(variable): index+=open_line(varlongname(variable)+' ('+variable+')')+\ cell("%.2g"%diff_avg,cfile(diff_fig))+\ cell("%.2g"%rmsd,cfile(diff_fig))+\ cell(simu,cfile(simu_fig),thumbnail=thumbnail_size,hover=False)+\ cell(ref,cfile(ref_fig),thumbnail=thumbnail_size,hover=False)+\ cell(text_diff,cfile(diff_fig),thumbnail=thumbnail_size,hover=False)+\ ' '+\ cell('page',cfile(page),thumbnail=thumbnail_size,hover=False)+\ cell('Pdf',cfile(pdf_page)) close_line() else: index+=open_line(varlongname(variable)+' ('+variable+')')+\ cell("%.2g"%diff_avg,cfile(diff_fig))+\ cell("%.2g"%rmsd,cfile(diff_fig))+\ cell(simu,cfile(simu_fig),thumbnail=thumbnail_size,hover=False)+\ cell(ref,cfile(ref_fig),thumbnail=thumbnail_size,hover=False)+\ cell(text_diff,cfile(diff_fig),thumbnail=thumbnail_size,hover=False)+\ cell('zonal mean',cfile(zmean_fig),thumbnail=thumbnail_size,hover=False)+\ cell('page',cfile(page),thumbnail=thumbnail_size,hover=False)+\ cell('Pdf',cfile(pdf_page)) close_line() # # Finalisons l'index html index += close_table() index += trailer() #out="index_example.html" out="index_example_"+opts.season+"_"+opts.simulation+".html" with open(out,"w") as filout : filout.write(index) # # Creation du Pdf multi-pages comm=subprocess.Popen(pdfargs, stdout=subprocess.PIPE, stderr=subprocess.PIPE) # import os,os.path ; # print("Attendez un bon peu : lancemement de firefox sur Ciclad....") # os.system("firefox file://"+os.path.abspath(os.path.curdir)+"/"+out+"&")