[154] | 1 | load "$NCARG_ROOT/lib/ncarg/nclex/gsun/gsn_code.ncl" |
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| 2 | load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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| 3 | load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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| 4 | load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/shea_util.ncl" |
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| 5 | |
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| 6 | ; time series |
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| 7 | ; last change: $Id: plotts.ncl 127 2007-10-23 11:05:25Z letzel $ |
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| 8 | |
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| 9 | begin |
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| 10 | ; |
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| 11 | ; set default value(s) for shell script variables assigned on command line |
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| 12 | if ( .not. isvar("cm") ) then ; colormap |
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| 13 | cm = "ncview_default" |
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| 14 | end if |
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| 15 | if ( .not. isvar("di") ) then ; input directory (with final /) |
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| 16 | di = "" |
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| 17 | end if |
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| 18 | if ( .not. isvar("d") ) then ; output directory (with final /) |
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| 19 | d = di |
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| 20 | end if |
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| 21 | if ( .not. isvar("fi") ) then ; base name of input file (without suffix) |
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| 22 | fi = "example_xy" |
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| 23 | end if |
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| 24 | if ( .not. isvar("fo") ) then ; base name of output files (without suffix) |
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| 25 | fo = "" |
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| 26 | end if |
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| 27 | if ( .not. isvar("ts") ) then ; output time step |
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| 28 | ts = 0 |
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| 29 | end if |
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| 30 | if ( .not. isvar("te") ) then ; output x-coordinate range start (in m) |
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| 31 | te = 0 |
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| 32 | end if |
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| 33 | ; |
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| 34 | ; open input file |
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| 35 | f = addfile( di + fi + ".nc", "r" ) |
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| 36 | ; |
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| 37 | ; open workstation(s) and set colormap |
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| 38 | wks_x11 = gsn_open_wks("x11","cross-section") ; X11 workstation |
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| 39 | gsn_define_colormap(wks_x11,cm) |
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| 40 | if ( isvar("fo") ) then |
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| 41 | wks_pdf = gsn_open_wks("pdf",d+fo) ; optional workstations |
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| 42 | gsn_define_colormap(wks_pdf,cm) |
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| 43 | wks_eps = gsn_open_wks("eps",d+fo) ; for output on file |
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| 44 | gsn_define_colormap(wks_eps,cm) |
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| 45 | wks_ps = gsn_open_wks("ps",d+fo) |
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| 46 | gsn_define_colormap(wks_ps,cm) |
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| 47 | end if |
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| 48 | ; |
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| 49 | ; read input data using 'coordinate subscripting' |
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| 50 | ; NCL uses the closest corresponding values (in case of two equally distant |
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| 51 | ; values NCL chooses the smaller one) |
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| 52 | |
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| 53 | if ( .not. isvar("var1") .and. .not. isvar("var2") .and. .not. isvar("var3") .and. .not. isvar("var4") .and. .not. isvar("var5") .and. .not. isvar("var6")) then |
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| 54 | vNam = getfilevarnames(f) |
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| 55 | n2 = dimsizes(vNam)-1 |
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| 56 | |
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| 57 | print(vNam) |
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| 58 | |
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| 59 | else |
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| 60 | |
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| 61 | vNam = new((/6/), string) |
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| 62 | |
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| 63 | vNam(0) = var1 |
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| 64 | vNam(1) = var2 |
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| 65 | vNam(2) = var3 |
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| 66 | vNam(3) = var4 |
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| 67 | vNam(4) = var5 |
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| 68 | vNam(5) = var6 |
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| 69 | n2 = 6 |
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| 70 | end if |
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| 71 | |
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| 72 | t= f ->time({ts:te}) |
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| 73 | |
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| 74 | res=True |
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| 75 | res@gsnDraw=False |
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| 76 | res@gsnFrame=False |
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| 77 | |
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| 78 | resP = True |
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| 79 | resP@txString="time series" |
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| 80 | |
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| 81 | res@vpWidthF=4 |
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| 82 | |
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| 83 | plot=new(40,graphic) ; create a plot array |
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| 84 | plot_pdf=new(40,graphic) ; create a plot array |
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| 85 | plot_ps=new(40,graphic) ; create a plot array |
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| 86 | plot_eps=new(40,graphic) ; create a plot array |
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| 87 | |
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| 88 | n = 0 |
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| 89 | |
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| 90 | do while ( n .lt. n2) |
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| 91 | data = f ->$vNam(n)$({ts:te}) |
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| 92 | plot(n) = gsn_csm_xy(wks_x11,t,data,res) |
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| 93 | plot_pdf(n) = gsn_csm_xy(wks_pdf,t,data,res) |
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| 94 | plot_eps(n) = gsn_csm_xy(wks_eps,t,data,res) |
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| 95 | plot_ps(n) = gsn_csm_xy(wks_ps,t,data,res) |
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| 96 | n = n + 1 |
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| 97 | end do |
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| 98 | |
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| 99 | pa = 0 |
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| 100 | pb = 5 |
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| 101 | |
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| 102 | do while ( pa .lt. dimsizes(plot) ) |
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| 103 | gsn_panel(wks_pdf,plot_pdf(pa:pb),(/6,1/),resP) ; Panel the plots, first using rows x columns, then using number of plots per row |
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| 104 | gsn_panel(wks_eps,plot_eps(pa:pb),(/6,1/),resP) |
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| 105 | gsn_panel(wks_ps,plot_ps(pa:pb),(/6,1/),resP) |
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| 106 | gsn_panel(wks_x11,plot(pa:pb),(/6,1/),resP) |
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| 107 | pa = pa + 6 |
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| 108 | pb = pb + 6 |
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| 109 | end do |
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| 110 | |
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| 111 | end |
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