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1 ; **************************************************** |
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2 ; combine scatter, histogram, global and zonal plots |
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3 ; **************************************************** |
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4 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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5 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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6 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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7 ;************************************************ |
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8 procedure pminmax(data:numeric,name:string) |
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9 begin |
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10 print ("min/max " + name + " = " + min(data) + "/" + max(data)) |
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11 if(isatt(data,"units")) then |
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12 print (name + " units = " + data@units) |
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13 end if |
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14 end |
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15 |
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16 ; Main code. |
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17 begin |
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18 |
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19 plot_type = "ps" |
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20 plot_type_new = "png" |
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21 |
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22 ;************************************************ |
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23 ; read in ob data |
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24 ;************************************************ |
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25 ;(1) |
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26 dir81 = "/fis/cgd/cseg/people/jeff/clamp_data/npp/ob/" |
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27 fil81 = "data.81.nc" |
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28 f81 = addfile (dir81+fil81,"r") |
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29 |
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30 id81 = f81->SITE_ID |
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31 npp81 = f81->TNPP_C |
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32 rain81 = tofloat(f81->PREC_ANN) |
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33 x81 = f81->LONG_DD |
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34 y81 = f81->LAT_DD |
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35 |
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36 id81@long_name = "SITE_ID" |
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37 |
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38 ;change longitude from (-180,180) to (0,360) |
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39 ;for model data interpolation |
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40 |
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41 do i= 0,dimsizes(x81)-1 |
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42 if (x81(i) .lt. 0.) then |
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43 x81(i) = x81(i)+ 360. |
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44 end if |
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45 end do |
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46 ;print (x81) |
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47 ;------------------------------------- |
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48 ;(2) |
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49 dir933 = "/fis/cgd/cseg/people/jeff/clamp_data/npp/ob/" |
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50 fil933 = "data.933.nc" |
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51 f933 = addfile (dir933+fil933,"r") |
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52 |
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53 id933 = f933->SITE_ID |
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54 npp933 = f933->TNPP_C |
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55 rain933 = f933->PREC |
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56 x933 = f933->LONG_DD |
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57 y933 = f933->LAT_DD |
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58 |
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59 id933@long_name = "SITE_ID" |
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60 |
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61 ;change longitude from (-180,180) to (0,360) |
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62 ;for model data interpolation |
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63 |
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64 do i= 0,dimsizes(x933)-1 |
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65 if (x933(i) .lt. 0.) then |
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66 x933(i) = x933(i)+ 360. |
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67 end if |
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68 end do |
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69 ;print (x933) |
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70 ;---------------------------------------- |
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71 ;(3) |
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72 dirglobe = "/fis/cgd/cseg/people/jeff/clamp_data/npp/ob/" |
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73 filglobe = "Npp_T31_mean.nc" |
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74 fglobe = addfile (dirglobe+filglobe,"r") |
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75 |
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76 nppglobe0 = fglobe->NPP |
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77 nppglobe = nppglobe0 |
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78 ;************************************************ |
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79 ; read in model data |
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80 ;************************************************ |
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81 model_name = "b30.061n" |
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82 |
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83 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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84 film = "b30.061n_1995-2004_ANN_climo_lnd.nc" |
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85 fm = addfile (dirm+film,"r") |
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86 |
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87 nppmod0 = fm->NPP |
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88 rainmod0 = fm->RAIN |
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89 xm = fm->lon |
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90 ym = fm->lat |
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91 |
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92 nppmod = nppmod0(0,:,:) |
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93 rainmod = rainmod0(0,:,:) |
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94 delete (nppmod0) |
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95 delete (rainmod0) |
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96 |
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97 nppmod81 =linint2_points(xm,ym,nppmod,True,x81,y81,0) |
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98 |
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99 nppmod933 =linint2_points(xm,ym,nppmod,True,x933,y933,0) |
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100 |
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101 rainmod81 =linint2_points(xm,ym,rainmod,True,x81,y81,0) |
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102 |
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103 rainmod933=linint2_points(xm,ym,rainmod,True,x933,y933,0) |
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104 |
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105 ;************************************************ |
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106 ; Units for these variables are: |
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107 ; |
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108 ; rain81 : mm/year |
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109 ; rainmod : mm/s |
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110 ; npp81 : g C/m^2/year |
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111 ; nppmod81: g C/m^2/s |
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112 ; nppglobe: g C/m^2/year |
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113 ; |
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114 ; We want to convert these to "m/year" and "g C/m^2/year". |
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115 ; |
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116 nsec_per_year = 60*60*24*365 |
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117 |
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118 rain81 = rain81 / 1000. |
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119 rainmod81 = (rainmod81/ 1000.) * nsec_per_year |
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120 nppmod81 = nppmod81 * nsec_per_year |
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121 |
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122 rain933 = rain933 / 1000. |
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123 rainmod933 = (rainmod933/ 1000.) * nsec_per_year |
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124 nppmod933 = nppmod933 * nsec_per_year |
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125 |
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126 nppmod = nppmod * nsec_per_year |
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127 |
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128 npp81@units = "gC/m^2/yr" |
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129 nppmod81@units = "gC/m^2/yr" |
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130 npp933@units = "gC/m^2/yr" |
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131 nppmod933@units = "gC/m^2/yr" |
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132 nppmod@units = "gC/m^2/yr" |
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133 nppglobe@units = "gC/m^2/yr" |
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134 rain81@units = "m/yr" |
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135 rainmod81@units = "m/yr" |
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136 rain933@units = "m/yr" |
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137 rainmod933@units = "m/yr" |
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138 |
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139 npp81@long_name = "NPP (gC/m2/year)" |
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140 npp933@long_name = "NPP (gC/m2/year)" |
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141 nppmod81@long_name = "NPP (gC/m2/year)" |
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142 nppmod933@long_name = "NPP (gC/m2/year)" |
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143 nppmod@long_name = "NPP (gC/m2/year)" |
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144 nppglobe@long_name = "NPP (gC/m2/year)" |
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145 rain81@long_name = "PREC (m/year)" |
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146 rain933@long_name = "PREC (m/year)" |
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147 rainmod81@long_name = "PREC (m/year)" |
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148 rainmod933@long_name = "PREC (m/year)" |
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149 |
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150 ;(A) plot scatter ob 81 |
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151 |
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152 plot_name = "scatter_ob_81" |
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153 title = "Observed 81 sites" |
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154 |
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155 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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156 res = True ; plot mods desired |
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157 res@tiMainString = title ; add title |
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158 res@xyMarkLineModes = "Markers" ; choose which have markers |
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159 res@xyMarkers = 16 ; choose type of marker |
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160 res@xyMarkerColor = "red" ; Marker color |
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161 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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162 res@tmLabelAutoStride = True ; nice tick mark labels |
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163 |
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164 plot = gsn_csm_xy (wks,id81,npp81,res) ; create plot |
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165 frame(wks) |
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166 |
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167 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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168 system("rm "+plot_name+"."+plot_type) |
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169 system("rm "+plot_name+"-1."+plot_type_new) |
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170 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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171 |
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172 clear (wks) |
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173 |
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174 ;(B) plot scatter ob 933 |
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175 |
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176 plot_name = "scatter_ob_933" |
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177 title = "Observed 933 sites" |
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178 |
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179 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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180 res = True ; plot mods desired |
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181 res@tiMainString = title ; add title |
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182 res@xyMarkLineModes = "Markers" ; choose which have markers |
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183 res@xyMarkers = 16 ; choose type of marker |
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184 res@xyMarkerColor = "red" ; Marker color |
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185 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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186 res@tmLabelAutoStride = True ; nice tick mark labels |
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187 |
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188 plot = gsn_csm_xy (wks,id933,npp933,res) ; create plot |
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189 frame(wks) |
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190 |
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191 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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192 system("rm "+plot_name+"."+plot_type) |
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193 system("rm "+plot_name+"-1."+plot_type_new) |
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194 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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195 |
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196 clear (wks) |
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197 |
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198 ;(C) plot scatter model 81 |
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199 |
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200 plot_name = "scatter_model_81" |
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201 title = "Model "+ model_name +" 81 sites" |
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202 |
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203 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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204 res = True ; plot mods desired |
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205 res@tiMainString = title ; add title |
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206 res@xyMarkLineModes = "Markers" ; choose which have markers |
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207 res@xyMarkers = 16 ; choose type of marker |
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208 res@xyMarkerColor = "red" ; Marker color |
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209 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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210 res@tmLabelAutoStride = True ; nice tick mark labels |
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211 |
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212 plot = gsn_csm_xy (wks,id81,nppmod81,res) ; create plot |
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213 frame(wks) |
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214 |
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215 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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216 system("rm "+plot_name+"."+plot_type) |
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217 system("rm "+plot_name+"-1."+plot_type_new) |
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218 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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219 |
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220 clear (wks) |
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221 |
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222 ;(D) plot scatter model 933 |
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223 |
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224 plot_name = "scatter_model_933" |
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225 title = "Model "+ model_name +" 933 sites" |
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226 |
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227 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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228 res = True ; plot mods desired |
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229 res@tiMainString = title ; add title |
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230 res@xyMarkLineModes = "Markers" ; choose which have markers |
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231 res@xyMarkers = 16 ; choose type of marker |
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232 res@xyMarkerColor = "red" ; Marker color |
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233 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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234 res@tmLabelAutoStride = True ; nice tick mark labels |
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235 |
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236 plot = gsn_csm_xy (wks,id933,nppmod933,res) ; create plot |
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237 frame(wks) |
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238 |
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239 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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240 system("rm "+plot_name+"."+plot_type) |
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241 system("rm "+plot_name+"-1."+plot_type_new) |
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242 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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243 |
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244 clear (wks) |
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245 |
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246 ;(E) scatter model vs ob 81 |
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247 |
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248 plot_name = "scatter_model_vs_ob_81" |
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249 title = model_name +" vs ob 81 sites" |
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250 |
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251 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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252 res = True ; plot mods desired |
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253 res@tiMainString = title ; add title |
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254 res@xyMarkLineModes = "Markers" ; choose which have markers |
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255 res@xyMarkers = 16 ; choose type of marker |
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256 res@xyMarkerColor = "red" ; Marker color |
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257 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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258 res@tmLabelAutoStride = True ; nice tick mark labels |
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259 ;------------------------------- |
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260 ;compute correlation coef. and M |
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261 ccr81 = esccr(nppmod81,npp81,0) |
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262 print (ccr81) |
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263 |
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264 ;new eq |
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265 bias = sum(abs(nppmod81-npp81)/(nppmod81+npp81)) |
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266 M81 = (1. - (bias/dimsizes(y81)))*5. |
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267 print (M81) |
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268 |
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269 tRes = True |
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270 tRes@txFontHeightF = 0.025 |
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271 |
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272 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr81)+")" |
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273 |
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274 gsn_text_ndc(wks,correlation_text,0.5,0.95,tRes) |
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275 ;-------------------------------- |
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276 plot = gsn_csm_xy (wks,npp81,nppmod81,res) ; create plot |
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277 frame(wks) |
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278 |
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279 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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280 system("rm "+plot_name+"."+plot_type) |
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281 system("rm "+plot_name+"-1."+plot_type_new) |
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282 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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283 |
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284 clear (wks) |
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285 |
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286 ;(F) scatter model vs ob 933 |
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287 |
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288 plot_name = "scatter_model_vs_ob_933" |
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289 title = model_name +" vs ob 933 sites" |
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290 |
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291 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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292 res = True ; plot mods desired |
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293 res@tiMainString = title ; add title |
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294 res@xyMarkLineModes = "Markers" ; choose which have markers |
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295 res@xyMarkers = 16 ; choose type of marker |
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296 res@xyMarkerColor = "red" ; Marker color |
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297 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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298 res@tmLabelAutoStride = True ; nice tick mark labels |
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299 ;------------------------------- |
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300 ;compute correlation coef. and M |
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301 ccr933 = esccr(nppmod933,npp933,0) |
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302 print (ccr933) |
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303 |
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304 ;new eq |
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305 bias = sum(abs(nppmod933-npp933)/(nppmod933+npp933)) |
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306 M933 = (1. - (bias/dimsizes(y933)))*5. |
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307 print (M933) |
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308 |
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309 tRes = True |
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310 tRes@txFontHeightF = 0.025 |
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311 |
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312 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr933)+")" |
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313 |
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314 gsn_text_ndc(wks,correlation_text,0.5,0.95,tRes) |
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315 ;-------------------------------- |
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316 plot = gsn_csm_xy (wks,npp933,nppmod933,res) ; create plot |
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317 frame(wks) |
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318 |
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319 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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320 system("rm "+plot_name+"."+plot_type) |
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321 system("rm "+plot_name+"-1."+plot_type_new) |
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322 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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323 |
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324 clear (wks) |
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325 ;************************************************************************** |
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326 ;(G) histogram 81 |
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327 |
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328 ;-------------------------------------------------------------------- |
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329 ;get data |
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330 |
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331 RAIN1_1D = ndtooned(rain81) |
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332 RAIN2_1D = ndtooned(rainmod81) |
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333 NPP1_1D = ndtooned(npp81) |
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334 NPP2_1D = ndtooned(nppmod81) |
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335 |
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336 ; Calculaee "nice" bins for binning the data in equally spaced ranges. |
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337 |
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338 nbins = 15 ; Number of bins to use. |
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339 |
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340 nicevals = nice_mnmxintvl(min(RAIN1_1D),max(RAIN1_1D),nbins,True) |
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341 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
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342 range = fspan(nicevals(0),nicevals(1),nvals) |
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343 |
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344 ; Use this range information to grab all the values in a |
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345 ; particular range, and then take an average. |
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346 |
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347 nr = dimsizes(range) |
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348 nx = nr-1 |
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349 xvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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350 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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351 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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352 dx4 = dx/4 ; 1/4 of the range |
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353 xvalues(1,:) = xvalues(0,:) - dx/5. |
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354 yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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355 mn_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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356 mx_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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357 |
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358 do nd=0,1 |
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359 |
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360 ; See if we are doing model or observational data. |
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361 |
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362 if(nd.eq.0) then |
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363 data = RAIN1_1D |
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364 npp_data = NPP1_1D |
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365 else |
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366 data = RAIN2_1D |
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367 npp_data = NPP2_1D |
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368 end if |
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369 |
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370 ; Loop through each range and check for values. |
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371 |
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372 do i=0,nr-2 |
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373 if (i.ne.(nr-2)) then |
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374 ; print("") |
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375 ; print("In range ["+range(i)+","+range(i+1)+")") |
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376 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
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377 else |
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378 ; print("") |
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379 ; print("In range ["+range(i)+",)") |
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380 idx = ind(range(i).le.data) |
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381 end if |
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382 |
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383 ; Calculate average, and get min and max. |
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384 |
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385 if(.not.any(ismissing(idx))) then |
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386 yvalues(nd,i) = avg(npp_data(idx)) |
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387 mn_yvalues(nd,i) = min(npp_data(idx)) |
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388 mx_yvalues(nd,i) = max(npp_data(idx)) |
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389 count = dimsizes(idx) |
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390 else |
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391 count = 0 |
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392 yvalues(nd,i) = yvalues@_FillValue |
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393 mn_yvalues(nd,i) = yvalues@_FillValue |
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394 mx_yvalues(nd,i) = yvalues@_FillValue |
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395 end if |
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396 |
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397 ; Print out information. |
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398 |
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399 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
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400 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
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401 |
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402 |
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403 ; Clean up for next time in loop. |
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404 |
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405 delete(idx) |
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406 end do |
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407 delete(data) |
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408 delete(npp_data) |
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409 end do |
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410 ;---------------------------------------- |
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411 ;compute correlation coeff and M score |
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412 |
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413 u = yvalues(0,:) |
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414 v = yvalues(1,:) |
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415 |
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416 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
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417 uu = u(good) |
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418 vv = v(good) |
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419 |
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420 ccr81h = esccr(uu,vv,0) |
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421 print (ccr81h) |
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422 |
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423 ;new eq |
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424 bias = sum(abs(vv-uu)/(vv+uu)) |
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425 M81h = (1.- (bias/dimsizes(uu)))*5. |
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426 print (M81h) |
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427 |
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428 delete (u) |
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429 delete (v) |
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430 delete (uu) |
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431 delete (vv) |
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432 ;---------------------------------------------------------------------- |
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433 ; histogram res |
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434 |
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435 resh = True |
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436 resh@gsnMaximize = True |
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437 resh@gsnDraw = False |
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438 resh@gsnFrame = False |
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439 resh@xyMarkLineMode = "Markers" |
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440 resh@xyMarkerSizeF = 0.014 |
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441 resh@xyMarker = 16 |
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442 resh@xyMarkerColors = (/"Brown","Blue"/) |
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443 resh@trYMinF = min(mn_yvalues) - 10. |
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444 resh@trYMaxF = max(mx_yvalues) + 10. |
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445 |
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446 resh@tiYAxisString = "NPP (g C/m2/year)" |
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447 resh@tiXAxisString = "Precipitation (m/year)" |
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448 |
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449 max_bar = new((/2,nx/),graphic) |
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450 min_bar = new((/2,nx/),graphic) |
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451 max_cap = new((/2,nx/),graphic) |
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452 min_cap = new((/2,nx/),graphic) |
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453 |
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454 lnres = True |
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455 line_colors = (/"brown","blue"/) |
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456 ;================================================================= |
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457 ; histogram ob 81 site only |
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458 ; |
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459 plot_name = "histogram_ob_81" |
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460 title = "Observed 81 site" |
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461 resh@tiMainString = title |
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462 |
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463 wks = gsn_open_wks (plot_type,plot_name) |
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464 |
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465 xy = gsn_csm_xy(wks,xvalues(0,:),yvalues(0,:),resh) |
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466 |
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467 ;------------------------------- |
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468 ;Attach the vertical bar and the horizontal cap line |
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469 |
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470 do nd=0,0 |
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471 lnres@gsLineColor = line_colors(nd) |
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472 do i=0,nx-1 |
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473 |
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474 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
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475 .not.ismissing(mx_yvalues(nd,i))) then |
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476 ; |
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477 ; Attach the vertical bar, both above and below the marker. |
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478 ; |
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479 x1 = xvalues(nd,i) |
|
480 y1 = yvalues(nd,i) |
|
481 y2 = mn_yvalues(nd,i) |
|
482 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
483 |
|
484 y2 = mx_yvalues(nd,i) |
|
485 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
486 ; |
|
487 ; Attach the horizontal cap line, both above and below the marker. |
|
488 ; |
|
489 x1 = xvalues(nd,i) - dx4 |
|
490 x2 = xvalues(nd,i) + dx4 |
|
491 y1 = mn_yvalues(nd,i) |
|
492 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
493 |
|
494 y1 = mx_yvalues(nd,i) |
|
495 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
496 end if |
|
497 end do |
|
498 end do |
|
499 |
|
500 draw(xy) |
|
501 frame(wks) |
|
502 |
|
503 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
504 system("rm "+plot_name+"."+plot_type) |
|
505 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
506 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
507 |
|
508 clear (wks) |
|
509 ;=========================================================================== |
|
510 ; histogram model vs ob 81 site |
|
511 |
|
512 plot_name = "histogram_mod-ob_81" |
|
513 title = model_name+ " vs Observed 81 site" |
|
514 resh@tiMainString = title |
|
515 |
|
516 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
517 |
|
518 ;----------------------------- |
|
519 ; Add a boxed legend using the more simple method, which won't have |
|
520 ; vertical lines going through the markers. |
|
521 |
|
522 resh@pmLegendDisplayMode = "Always" |
|
523 ; resh@pmLegendWidthF = 0.1 |
|
524 resh@pmLegendWidthF = 0.08 |
|
525 resh@pmLegendHeightF = 0.05 |
|
526 resh@pmLegendOrthogonalPosF = -1.17 |
|
527 ; resh@pmLegendOrthogonalPosF = -1.00 ;(downward) |
|
528 ; resh@pmLegendParallelPosF = 0.18 |
|
529 resh@pmLegendParallelPosF = 0.88 ;(rightward) |
|
530 |
|
531 ; resh@lgPerimOn = False |
|
532 resh@lgLabelFontHeightF = 0.015 |
|
533 resh@xyExplicitLegendLabels = (/"observed",model_name/) |
|
534 ;----------------------------- |
|
535 tRes = True |
|
536 tRes@txFontHeightF = 0.025 |
|
537 |
|
538 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr81h)+")" |
|
539 |
|
540 gsn_text_ndc(wks,correlation_text,0.56,0.85,tRes) |
|
541 |
|
542 xy = gsn_csm_xy(wks,xvalues,yvalues,resh) |
|
543 ;------------------------------- |
|
544 ;Attach the vertical bar and the horizontal cap line |
|
545 |
|
546 do nd=0,1 |
|
547 lnres@gsLineColor = line_colors(nd) |
|
548 do i=0,nx-1 |
|
549 |
|
550 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
551 .not.ismissing(mx_yvalues(nd,i))) then |
|
552 ; |
|
553 ; Attach the vertical bar, both above and below the marker. |
|
554 ; |
|
555 x1 = xvalues(nd,i) |
|
556 y1 = yvalues(nd,i) |
|
557 y2 = mn_yvalues(nd,i) |
|
558 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
559 |
|
560 y2 = mx_yvalues(nd,i) |
|
561 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
562 ; |
|
563 ; Attach the horizontal cap line, both above and below the marker. |
|
564 ; |
|
565 x1 = xvalues(nd,i) - dx4 |
|
566 x2 = xvalues(nd,i) + dx4 |
|
567 y1 = mn_yvalues(nd,i) |
|
568 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
569 |
|
570 y1 = mx_yvalues(nd,i) |
|
571 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
572 end if |
|
573 end do |
|
574 end do |
|
575 draw(xy) |
|
576 frame(wks) |
|
577 |
|
578 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
579 system("rm "+plot_name+"."+plot_type) |
|
580 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
581 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
582 |
|
583 clear (wks) |
|
584 |
|
585 delete (RAIN1_1D) |
|
586 delete (RAIN2_1D) |
|
587 delete (NPP1_1D) |
|
588 delete (NPP2_1D) |
|
589 delete (range) |
|
590 delete (xvalues) |
|
591 delete (yvalues) |
|
592 delete (mn_yvalues) |
|
593 delete (mx_yvalues) |
|
594 delete (good) |
|
595 delete (max_bar) |
|
596 delete (min_bar) |
|
597 delete (max_cap) |
|
598 delete (min_cap) |
|
599 ;************************************************************************** |
|
600 ;(H) histogram 933 |
|
601 |
|
602 ;-------------------------------------------------------------------- |
|
603 ;get data |
|
604 |
|
605 RAIN1_1D = ndtooned(rain933) |
|
606 RAIN2_1D = ndtooned(rainmod933) |
|
607 NPP1_1D = ndtooned(npp933) |
|
608 NPP2_1D = ndtooned(nppmod933) |
|
609 |
|
610 ; Calculate "nice" bins for binning the data in equally spaced ranges. |
|
611 |
|
612 nbins = 15 ; Number of bins to use. |
|
613 |
|
614 nicevals = nice_mnmxintvl(min(RAIN1_1D),max(RAIN1_1D),nbins,True) |
|
615 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
|
616 range = fspan(nicevals(0),nicevals(1),nvals) |
|
617 |
|
618 ; Use this range information to grab all the values in a |
|
619 ; particular range, and then take an average. |
|
620 |
|
621 nr = dimsizes(range) |
|
622 nx = nr-1 |
|
623 xvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
624 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
|
625 dx = xvalues(0,1) - xvalues(0,0) ; range width |
|
626 dx4 = dx/4 ; 1/4 of the range |
|
627 xvalues(1,:) = xvalues(0,:) - dx/5. |
|
628 yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
629 mn_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
630 mx_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
631 |
|
632 do nd=0,1 |
|
633 |
|
634 ; See if we are doing model or observational data. |
|
635 |
|
636 if(nd.eq.0) then |
|
637 data = RAIN1_1D |
|
638 npp_data = NPP1_1D |
|
639 else |
|
640 data = RAIN2_1D |
|
641 npp_data = NPP2_1D |
|
642 end if |
|
643 |
|
644 ; Loop through each range and check for values. |
|
645 |
|
646 do i=0,nr-2 |
|
647 if (i.ne.(nr-2)) then |
|
648 ; print("") |
|
649 ; print("In range ["+range(i)+","+range(i+1)+")") |
|
650 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
|
651 else |
|
652 ; print("") |
|
653 ; print("In range ["+range(i)+",)") |
|
654 idx = ind(range(i).le.data) |
|
655 end if |
|
656 |
|
657 ; Calculate average, and get min and max. |
|
658 |
|
659 if(.not.any(ismissing(idx))) then |
|
660 yvalues(nd,i) = avg(npp_data(idx)) |
|
661 mn_yvalues(nd,i) = min(npp_data(idx)) |
|
662 mx_yvalues(nd,i) = max(npp_data(idx)) |
|
663 count = dimsizes(idx) |
|
664 else |
|
665 count = 0 |
|
666 yvalues(nd,i) = yvalues@_FillValue |
|
667 mn_yvalues(nd,i) = yvalues@_FillValue |
|
668 mx_yvalues(nd,i) = yvalues@_FillValue |
|
669 end if |
|
670 |
|
671 ; Print out information. |
|
672 |
|
673 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
|
674 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
|
675 |
|
676 ; Clean up for next time in loop. |
|
677 |
|
678 delete(idx) |
|
679 end do |
|
680 delete(data) |
|
681 delete(npp_data) |
|
682 end do |
|
683 ;---------------------------------------- |
|
684 ;compute correlation coeff and M score |
|
685 |
|
686 u = yvalues(0,:) |
|
687 v = yvalues(1,:) |
|
688 |
|
689 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
|
690 uu = u(good) |
|
691 vv = v(good) |
|
692 |
|
693 ccr933h = esccr(uu,vv,0) |
|
694 print (ccr933h) |
|
695 |
|
696 ;new eq |
|
697 bias = sum(abs(vv-uu)/(vv+uu)) |
|
698 M933h = (1.- (bias/dimsizes(uu)))*5. |
|
699 print (M933h) |
|
700 |
|
701 delete (u) |
|
702 delete (v) |
|
703 delete (uu) |
|
704 delete (vv) |
|
705 ;---------------------------------------------------------------------- |
|
706 ; histogram res |
|
707 |
|
708 delete (resh) |
|
709 resh = True |
|
710 resh@gsnMaximize = True |
|
711 resh@gsnDraw = False |
|
712 resh@gsnFrame = False |
|
713 resh@xyMarkLineMode = "Markers" |
|
714 resh@xyMarkerSizeF = 0.014 |
|
715 resh@xyMarker = 16 |
|
716 resh@xyMarkerColors = (/"Brown","Blue"/) |
|
717 resh@trYMinF = min(mn_yvalues) - 10. |
|
718 resh@trYMaxF = max(mx_yvalues) + 10. |
|
719 |
|
720 resh@tiYAxisString = "NPP (g C/m2/year)" |
|
721 resh@tiXAxisString = "Precipitation (m/year)" |
|
722 |
|
723 max_bar = new((/2,nx/),graphic) |
|
724 min_bar = new((/2,nx/),graphic) |
|
725 max_cap = new((/2,nx/),graphic) |
|
726 min_cap = new((/2,nx/),graphic) |
|
727 |
|
728 lnres = True |
|
729 line_colors = (/"brown","blue"/) |
|
730 ;================================================================= |
|
731 ; histogram ob 933 site only |
|
732 |
|
733 plot_name = "histogram_ob_933" |
|
734 title = "Observed 933 site" |
|
735 resh@tiMainString = title |
|
736 |
|
737 wks = gsn_open_wks (plot_type,plot_name) |
|
738 |
|
739 xy = gsn_csm_xy(wks,xvalues(0,:),yvalues(0,:),resh) |
|
740 |
|
741 ;------------------------------- |
|
742 ;Attach the vertical bar and the horizontal cap line |
|
743 |
|
744 do nd=0,0 |
|
745 lnres@gsLineColor = line_colors(nd) |
|
746 do i=0,nx-1 |
|
747 |
|
748 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
749 .not.ismissing(mx_yvalues(nd,i))) then |
|
750 |
|
751 ; Attach the vertical bar, both above and below the marker. |
|
752 |
|
753 x1 = xvalues(nd,i) |
|
754 y1 = yvalues(nd,i) |
|
755 y2 = mn_yvalues(nd,i) |
|
756 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
757 |
|
758 y2 = mx_yvalues(nd,i) |
|
759 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
760 |
|
761 ; Attach the horizontal cap line, both above and below the marker. |
|
762 |
|
763 x1 = xvalues(nd,i) - dx4 |
|
764 x2 = xvalues(nd,i) + dx4 |
|
765 y1 = mn_yvalues(nd,i) |
|
766 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
767 |
|
768 y1 = mx_yvalues(nd,i) |
|
769 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
770 end if |
|
771 end do |
|
772 end do |
|
773 |
|
774 draw(xy) |
|
775 frame(wks) |
|
776 |
|
777 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
778 system("rm "+plot_name+"."+plot_type) |
|
779 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
780 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
781 |
|
782 delete (xy) |
|
783 clear (wks) |
|
784 |
|
785 ;=========================================================================== |
|
786 ; histogram model vs ob 933 site |
|
787 |
|
788 plot_name = "histogram_mod-ob_933" |
|
789 title = model_name+ " vs Observed 933 site" |
|
790 resh@tiMainString = title |
|
791 |
|
792 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
793 |
|
794 ;----------------------------- |
|
795 ; Add a boxed legend using the more simple method, which won't have |
|
796 ; vertical lines going through the markers. |
|
797 |
|
798 resh@pmLegendDisplayMode = "Always" |
|
799 ; resh@pmLegendWidthF = 0.1 |
|
800 resh@pmLegendWidthF = 0.08 |
|
801 resh@pmLegendHeightF = 0.05 |
|
802 resh@pmLegendOrthogonalPosF = -1.17 |
|
803 ; resh@pmLegendOrthogonalPosF = -1.00 ;(downward) |
|
804 ; resh@pmLegendParallelPosF = 0.18 |
|
805 resh@pmLegendParallelPosF = 0.88 ;(rightward) |
|
806 |
|
807 ; resh@lgPerimOn = False |
|
808 resh@lgLabelFontHeightF = 0.015 |
|
809 resh@xyExplicitLegendLabels = (/"observed",model_name/) |
|
810 ;----------------------------- |
|
811 tRes = True |
|
812 tRes@txFontHeightF = 0.025 |
|
813 |
|
814 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr933h)+")" |
|
815 |
|
816 gsn_text_ndc(wks,correlation_text,0.56,0.85,tRes) |
|
817 |
|
818 xy = gsn_csm_xy(wks,xvalues,yvalues,resh) |
|
819 ;------------------------------- |
|
820 ;Attach the vertical bar and the horizontal cap line |
|
821 |
|
822 do nd=0,1 |
|
823 lnres@gsLineColor = line_colors(nd) |
|
824 do i=0,nx-1 |
|
825 |
|
826 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
827 .not.ismissing(mx_yvalues(nd,i))) then |
|
828 ; |
|
829 ; Attach the vertical bar, both above and below the marker. |
|
830 ; |
|
831 x1 = xvalues(nd,i) |
|
832 y1 = yvalues(nd,i) |
|
833 y2 = mn_yvalues(nd,i) |
|
834 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
835 |
|
836 y2 = mx_yvalues(nd,i) |
|
837 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
838 ; |
|
839 ; Attach the horizontal cap line, both above and below the marker. |
|
840 ; |
|
841 x1 = xvalues(nd,i) - dx4 |
|
842 x2 = xvalues(nd,i) + dx4 |
|
843 y1 = mn_yvalues(nd,i) |
|
844 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
845 |
|
846 y1 = mx_yvalues(nd,i) |
|
847 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
848 end if |
|
849 end do |
|
850 end do |
|
851 draw(xy) |
|
852 frame(wks) |
|
853 |
|
854 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
855 system("rm "+plot_name+"."+plot_type) |
|
856 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
857 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
858 |
|
859 delete (xy) |
|
860 clear (wks) |
|
861 ;------------------------------------------------------------------------ |
|
862 ; global contour |
|
863 |
|
864 ;res |
|
865 resg = True ; Use plot options |
|
866 resg@cnFillOn = True ; Turn on color fill |
|
867 resg@gsnSpreadColors = True ; use full colormap |
|
868 ; resg@cnFillMode = "RasterFill" ; Turn on raster color |
|
869 ; resg@lbLabelAutoStride = True |
|
870 resg@cnLinesOn = False ; Turn off contourn lines |
|
871 resg@mpFillOn = False ; Turn off map fill |
|
872 |
|
873 resg@gsnSpreadColors = True ; use full colormap |
|
874 resg@cnLevelSelectionMode = "ManualLevels" ; Manual contour invtervals |
|
875 resg@cnMinLevelValF = 0. ; Min level |
|
876 resg@cnMaxLevelValF = 2200. ; Max level |
|
877 resg@cnLevelSpacingF = 200. ; interval |
|
878 ;------------------------------------------------------------------------ |
|
879 ;global contour ob |
|
880 |
|
881 delta = 0.00000000001 |
|
882 nppglobe = where(ismissing(nppglobe).and.(ismissing(nppmod).or.(nppmod.lt.delta)),0.,nppglobe) |
|
883 |
|
884 plot_name = "global_ob" |
|
885 title = "Observed MODIS MOD 17" |
|
886 resg@tiMainString = title |
|
887 |
|
888 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
889 gsn_define_colormap(wks,"gui_default") ; choose colormap |
|
890 |
|
891 plot = gsn_csm_contour_map_ce(wks,nppglobe,resg) |
|
892 frame(wks) |
|
893 |
|
894 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
895 system("rm "+plot_name+"."+plot_type) |
|
896 system("rm "+plot_name+"-1."+plot_type_new) |
|
897 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
898 |
|
899 clear (wks) |
|
900 ;------------------------------------------------------------------------ |
|
901 ;global contour model |
|
902 |
|
903 plot_name = "global_model" |
|
904 title = "Model "+ model_name |
|
905 resg@tiMainString = title |
|
906 |
|
907 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
908 gsn_define_colormap(wks,"gui_default") ; choose colormap |
|
909 |
|
910 plot = gsn_csm_contour_map_ce(wks,nppmod,resg) |
|
911 frame(wks) |
|
912 |
|
913 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
914 system("rm "+plot_name+"."+plot_type) |
|
915 system("rm "+plot_name+"-1."+plot_type_new) |
|
916 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
917 |
|
918 clear (wks) |
|
919 ;------------------------------------------------------------------------ |
|
920 ;global contour model vs ob |
|
921 |
|
922 plot_name = "global_model_vs_ob" |
|
923 |
|
924 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
925 gsn_define_colormap(wks,"gui_default") ; choose colormap |
|
926 |
|
927 delete (plot) |
|
928 plot=new(3,graphic) ; create graphic array |
|
929 |
|
930 resg@gsnFrame = False ; Do not draw plot |
|
931 resg@gsnDraw = False ; Do not advance frame |
|
932 |
|
933 ;(d) compute correlation coef and M score |
|
934 |
|
935 uu1 = ndtooned(nppmod) |
|
936 vv1 = ndtooned(nppglobe) |
|
937 |
|
938 delete (good) |
|
939 good = ind(.not.ismissing(uu1) .and. .not.ismissing(vv1)) |
|
940 |
|
941 ug = uu1(good) |
|
942 vg = vv1(good) |
|
943 |
|
944 ccrG = esccr(ug,vg,0) |
|
945 print (ccrG) |
|
946 |
|
947 MG = (ccrG*ccrG)* 5.0 |
|
948 print (MG) |
|
949 |
|
950 ; plot correlation coef |
|
951 |
|
952 gRes = True |
|
953 gRes@txFontHeightF = 0.02 |
|
954 gRes@txAngleF = 90 |
|
955 |
|
956 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccrG)+")" |
|
957 |
|
958 gsn_text_ndc(wks,correlation_text,0.20,0.50,gRes) |
|
959 ;-------------------------------------------------------------------- |
|
960 |
|
961 ;(a) ob |
|
962 |
|
963 title = "Observed MODIS MOD 17" |
|
964 resg@tiMainString = title |
|
965 |
|
966 plot(0) = gsn_csm_contour_map_ce(wks,nppglobe,resg) |
|
967 |
|
968 ;(b) model |
|
969 |
|
970 title = "Model "+ model_name |
|
971 resg@tiMainString = title |
|
972 |
|
973 plot(1) = gsn_csm_contour_map_ce(wks,nppmod,resg) |
|
974 |
|
975 ;(c) model-ob |
|
976 |
|
977 zz = nppmod |
|
978 zz = nppmod - nppglobe |
|
979 title = "Model_"+model_name+" - Observed" |
|
980 |
|
981 resg@cnMinLevelValF = -500 ; Min level |
|
982 resg@cnMaxLevelValF = 500. ; Max level |
|
983 resg@cnLevelSpacingF = 50. ; interval |
|
984 resg@tiMainString = title |
|
985 |
|
986 plot(2) = gsn_csm_contour_map_ce(wks,zz,resg) |
|
987 |
|
988 pres = True ; panel plot mods desired |
|
989 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
|
990 ; indiv. plots in panel |
|
991 pres@gsnMaximize = True ; fill the page |
|
992 |
|
993 gsn_panel(wks,plot,(/3,1/),pres) ; create panel plot |
|
994 |
|
995 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
996 ; system("rm "+plot_name+"."+plot_type) |
|
997 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
998 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
999 |
|
1000 frame (wks) |
|
1001 clear (wks) |
|
1002 |
|
1003 delete (plot) |
|
1004 ;--------------------------------------------------------------------- |
|
1005 ; zonal line plot ob |
|
1006 |
|
1007 resz = True |
|
1008 |
|
1009 vv = zonalAve(nppglobe) |
|
1010 vv@long_name = nppglobe@long_name |
|
1011 |
|
1012 plot_name = "zonal_ob" |
|
1013 title = "Observed MODIS MOD 17" |
|
1014 resz@tiMainString = title |
|
1015 |
|
1016 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
1017 |
|
1018 plot = gsn_csm_xy (wks,ym,vv,resz) |
|
1019 frame(wks) |
|
1020 |
|
1021 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
1022 system("rm "+plot_name+"."+plot_type) |
|
1023 system("rm "+plot_name+"-1."+plot_type_new) |
|
1024 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
1025 |
|
1026 clear (wks) |
|
1027 ;--------------------------------------------------------------------- |
|
1028 ; zonal line plot model vs ob |
|
1029 |
|
1030 s = new ((/2,dimsizes(ym)/), float) |
|
1031 |
|
1032 s(0,:) = zonalAve(nppglobe) |
|
1033 s(1,:) = zonalAve(nppmod) |
|
1034 |
|
1035 s@long_name = nppglobe@long_name |
|
1036 ;------------------------------------------- |
|
1037 ;(d) compute correlation coef and M score |
|
1038 |
|
1039 ccrZ = esccr(s(1,:), s(0,:),0) |
|
1040 print (ccrZ) |
|
1041 |
|
1042 MZ = (ccrZ*ccrZ)* 5.0 |
|
1043 print (MZ) |
|
1044 ;------------------------------------------- |
|
1045 plot_name = "zonal_model_vs_ob" |
|
1046 title = "Zonal Average" |
|
1047 resz@tiMainString = title |
|
1048 |
|
1049 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
1050 |
|
1051 ; resz@vpHeightF = 0.4 ; change aspect ratio of plot |
|
1052 ; resz@vpWidthF = 0.7 |
|
1053 |
|
1054 resz@xyMonoLineColor = "False" ; want colored lines |
|
1055 resz@xyLineColors = (/"black","red"/) ; colors chosen |
|
1056 ; resz@xyLineThicknesses = (/3.,3./) ; line thicknesses |
|
1057 resz@xyLineThicknesses = (/2.,2./) ; line thicknesses |
|
1058 resz@xyDashPatterns = (/0.,0./) ; make all lines solid |
|
1059 |
|
1060 resz@tiYAxisString = s@long_name ; add a axis title |
|
1061 resz@txFontHeightF = 0.0195 ; change title font heights |
|
1062 |
|
1063 ; Legent |
|
1064 resz@pmLegendDisplayMode = "Always" ; turn on legend |
|
1065 resz@pmLegendSide = "Top" ; Change location of |
|
1066 ; resz@pmLegendParallelPosF = .45 ; move units right |
|
1067 resz@pmLegendParallelPosF = .82 ; move units right |
|
1068 resz@pmLegendOrthogonalPosF = -0.4 ; move units down |
|
1069 |
|
1070 resz@pmLegendWidthF = 0.10 ; Change width and |
|
1071 resz@pmLegendHeightF = 0.10 ; height of legend. |
|
1072 resz@lgLabelFontHeightF = .02 ; change font height |
|
1073 ; resz@lgTitleOn = True ; turn on legend title |
|
1074 ; resz@lgTitleString = "Example" ; create legend title |
|
1075 ; resz@lgTitleFontHeightF = .025 ; font of legend title |
|
1076 resz@xyExplicitLegendLabels = (/"Observed",model_name/) ; explicit labels |
|
1077 ;-------------------------------------------------------------------- |
|
1078 zRes = True |
|
1079 zRes@txFontHeightF = 0.025 |
|
1080 |
|
1081 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccrZ)+")" |
|
1082 |
|
1083 gsn_text_ndc(wks,correlation_text,0.50,0.77,zRes) |
|
1084 ;-------------------------------------------------------------------- |
|
1085 |
|
1086 plot = gsn_csm_xy (wks,ym,s,resz) ; create plot |
|
1087 |
|
1088 frame(wks) ; advance frame |
|
1089 |
|
1090 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
1091 system("rm "+plot_name+"."+plot_type) |
|
1092 system("rm "+plot_name+"-1."+plot_type_new) |
|
1093 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
1094 |
|
1095 clear (wks) |
|
1096 end |