# -*- coding: euc-jp -*- require "numru/ggraph" include NumRu # added timestep = ARGV[0].to_i # 引数で渡そうと思ったがうまくいかない... IntegPeriod = 4320000.0e0 tn = 20 dt = IntegPeriod / tn #IntegPeriod = 432000.0e0 #tn = 2 #dt = IntegPeriod / tn x1 = 0 x2 = 512000 #x2 = 500 * 1000 - 500 * 10 z1 = 0 z2 = 30000 #files = /thermal-moist_H2O-l-Rain_rank(\d\d\d\d\d\d).nc/ #gphys = GPhys::IO.open(files, 'H2O-l-Rain') #files = /thermal-moist_H2O-l-Rain_Fall_rank(\d\d\d\d\d\d).nc/ #gphys = GPhys::IO.open(files, 'H2O-l-Rain_Fall') #files = /thermal-moist_H2O-l-Rain_FallFluxAtLB_rank(\d\d\d\d\d\d).nc/ #gphys = GPhys::IO.open(files, 'H2O-l-Rain_FallFluxAtLB') #files = /thermal-moist_H2O-g_SfcMassFlux_rank(\d\d\d\d\d\d).nc/ #gphys = GPhys::IO.open(files, 'H2O-g_SfcMassFlux') #files = /thermal-moist_SfcHeatFlux_rank(\d\d\d\d\d\d).nc/ #gphys = GPhys::IO.open(files, 'SfcHeatFlux') #files = /thermal-moist_VelX_rank(\d\d\d\d\d\d).nc/ #gphys = GPhys::IO.open(files, 'VelX') #files1 = /thermal-moist_ExnerAll_rank(\d\d\d\d\d\d).nc/ #gphys1 = GPhys::IO.open(files1, 'ExnerAll') #files2 = /thermal-moist_PTempAll_rank(\d\d\d\d\d\d).nc/ #gphys2 = GPhys::IO.open(files2, 'PTempAll') files = /thermal-moist_H2O-gAll_rank(\d\d\d\d\d\d).nc/ gphys = GPhys::IO.open(files, 'H2O-gAll') #DCL.gropn(1) DCL.gropn(2) #DCL.sldiv('y',1,3) DCL.sgpset('lfull',true) DCL.sgpset('lcntl', false) DCL.uzfact(0.7) #DCL.uzfact(0.3) GGraph.set_fig( 'viewport'=>[0.25,0.7,0.15,0.6] ) # アスペクト比をそれっぽくする #GGraph.set_fig( 'viewport'=>[0.1,0.85,0.15,0.6] ) #GGraph.set_fig( 'viewport'=>[0.1,0.85,0.2,0.45] ) #xax = gphys1.coord(0) #tax = gphys1.coord(3) #gphysdisp0 = -gphys gphysdisp0 = gphys #gphysdisp0 = gphys1 * gphys2 gphysdisp0 = gphysdisp0.mean( 'y' ) gphysdisp0 = gphysdisp0.cut( 'z'=>1950 ) #gphysdisp0 = gphysdisp0.cut( 't'=>2e6..2.2e6 ) gphysdisp0 = gphysdisp0.cut( 't'=>dt*(timestep-1)..dt*timestep ) #gphysdisp0 = gphysdisp0.cut( 't'=>2.16e5*(timestep-1)..2.16e5*timestep ) gphysdisp = gphysdisp0 #gphysdisp.long_name = 'H2O-gAll at z = 1050 m' #tax = gphysdisp.coord(1) # <- gphysdisp は mean や cut して 2 次元になった gphysdisp = gphysdisp0 #GGraph.fig( xax, zax, 'new_frame'=>false, #GGraph.fig( xax, tax, 'new_frame'=>true ) # 'viewport'=>[0.25,0.9,vpy1,vpy2], 'window'=>[x1,x2,z1,z2] ) # 'viewport'=>[0.1,0.9,0.1,0.8], 'window'=>[x1,x2,z1,z2] ) #GGraph.contour( gphysdisp, true ) GGraph.tone( gphysdisp, true ) #GGraph.tone( gphysdisp, false ) #GGraph.tone( gphysdisp, true, #GGraph.tone( gphysdisp, false, # 'lev'=>[0,0.5e-3,1.0e-3,1.5e-3,2.0e-3,2.5e-3,3.0e-3,3.5e-3,4.0e-3,4.5e-3,5.0e3,5.5e-3,6.0e-3,6.5e-3,7.0e-3,7.5e-3], # # レベル＆パターンを陽に指定 # 'pat'=>[1,10999,15999,20999,25999,30999,35999,40999,45999,50999,60999,65999,70999,80999,90999] # 高度 500 m あたりでの水蒸気混合比 # 'lev'=>[ 0, 3e-3, 6e-3, 9e-3, 12e-3,15e-3,18e-3,21e-3,24e-3,27e-3,30e-3], # 'lev'=>[ 0, 4e-3, 6e-3, 8e-3,10e-3,12e-3,14e-3,16e-3,18e-3,20e-3,22e-3], # 'lev'=>[ 17e-3,17.6e-3,18.2e-3,18.8e-3,19.4e-3,20e-3,20.6e-3,21.2e-3,21.8e-3,22.4e-3], # 'pat'=>[10999,15999,20999, 30999, 40999, 65999,70999, 75999,80999,90999] # 'lev'=>[ 4e-3, 6e-3, 8e-3, 10e-3, 12e-3,14e-3,16e-3,18e-3,20e-3,22e-3], # 'pat'=>[10999,20999,30999,40999,55999,65999,70999,75999,80999,90999] # 10 色 # 水蒸気混合比 at 全時刻全高度統一 ver. # 'lev'=>[ 0, 4e-3, 6e-3, 8e-3, 10e-3, 12e-3,14e-3,16e-3,18e-3,20e-3,22e-3], # 'pat'=>[1,10999,15999,20999,30999,40999,55999,65999,70999,75999,80999,90999] # 12 色 ###--------------------------------- ### ### ゼロしろ ## # 'pat'=>[1,10999,15999,20999, 30999,35999,40999, 55999,65999,70999,75999,80999,90999,95999] # 14 色 # (水蒸気混合比(統一)) # 'pat'=>[1,10999,15999,20999, 30999, 40999, 55999,65999,70999,75999,80999,90999] # 12 色 # 'pat'=>[1,10999,15999,20999, 30999, 40999, 50999, 60999,70999,75999,80999,90999] # 12 色 # (降水量, 蒸発量) # 'pat'=>[1,10999, 20999, 30999, 40999, 55999,65999,70999,75999,80999,90999] # 11 色 ### ### non ゼロしろ ## # (エクスナー関数) # 'pat'=>[ 10999,15999,20999,25999,30999,35999,40999,45999,50999, 67999,70999,80999,85999,90999] # (水平風, 鉛直風まま) # 'pat'=>[ 10999,15999,20999,25999,30999, 40999, 55999, 70999,75999,80999,90999,95999] # 12 色 # (地表面熱フラックス) # 'pat'=>[ 10999,15999,20999,25999,30999, 40999, 55999,65999,70999, 80999,90999] # 11 色 # 'pat'=>[ 10999,15999,20999, 30999, 40999, 55999,65999,70999,75999,80999,90999] # 11 色 # 'pat'=>[ 10999, 20999, 30999, 40999, 55999,65999,70999,75999,80999,90999] # 10 色 ### ### 試作中 ## # (水蒸気混合比まま) # 'pat'=>[ 10999,15999,20999, 30999, 40999, 55999,65999,70999,75999,80999,90999] # 11 色 ### ### # (水蒸気混合比たまに) # 'pat'=>[ 10999,15999,20999, 30999, 40999, 65999,70999,75999,80999,90999] # 10 色 # 'pat'=>[ 10999,15999,20999, 30999, 40999, 65999,70999,75999,80999,90999] # 9 色 ### ### ### でふぉ ## # (温度) # 'pat'=>[ 10999,12999,15999,20999,25999,30999,35999,40999,55999,65999,70999,75999,80999,90999,95999] # 15 色 #) #GGraph.axes( xax, tax ) #GGraph.title( gphysdisp.long_name ) #GGraph.color_bar( 'vlength'=>0.07, 'inffact'=>0.5 ) GGraph.color_bar DCL.grcls