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1 ; *********************************************** |
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2 ; combine all scatter |
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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 dir81 = "/fis/cgd/cseg/people/jeff/clamp_data/npp/ob/" |
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26 fil81 = "data.81.nc" |
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27 f81 = addfile (dir81+fil81,"r") |
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28 |
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29 id81 = f81->SITE_ID |
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30 npp81 = f81->TNPP_C |
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31 rain81 = tofloat(f81->PREC_ANN) |
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32 x81 = f81->LONG_DD |
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33 y81 = f81->LAT_DD |
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34 |
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35 id81@long_name = "SITE_ID" |
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36 npp81@long_name = "NPP (gC/m2/year)" |
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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 dir933 = "/fis/cgd/cseg/people/jeff/clamp_data/npp/ob/" |
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49 fil933 = "data.933.nc" |
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50 f933 = addfile (dir933+fil933,"r") |
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51 |
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52 id933 = f933->SITE_ID |
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53 npp933 = f933->TNPP_C |
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54 rain933 = f933->PREC |
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55 x933 = f933->LONG_DD |
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56 y933 = f933->LAT_DD |
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57 |
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58 id933@long_name = "SITE_ID" |
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59 npp933@long_name = "NPP (gC/m2/year)" |
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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 ; read in model data |
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72 ;************************************************ |
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73 model_name = "b30.061n" |
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74 |
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75 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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76 film = "b30.061n_1995-2004_ANN_climo_lnd.nc" |
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77 fm = addfile (dirm+film,"r") |
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78 |
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79 nppmod = fm->NPP |
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80 rainmod = fm->RAIN |
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81 xm = fm->lon |
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82 ym = fm->lat |
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83 |
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84 nppmod81 =linint2_points(xm,ym,nppmod(0,:,:),True,x81,y81,0) |
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85 |
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86 nppmod933 =linint2_points(xm,ym,nppmod(0,:,:),True,x933,y933,0) |
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87 |
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88 rainmod81 =linint2_points(xm,ym,rainmod(0,:,:),True,x81,y81,0) |
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89 |
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90 rainmod933=linint2_points(xm,ym,rainmod(0,:,:),True,x933,y933,0) |
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91 |
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92 ;************************************************ |
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93 ; Units for these four variables are: |
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94 ; |
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95 ; rain81 : mm/year |
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96 ; rainmod : mm/s |
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97 ; npp81 : g C/m^2/year |
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98 ; nppmod81: g C/m^2/s |
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99 ; |
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100 ; We want to convert these to "m/year" and "g C/m^2/year". |
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101 ; |
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102 nsec_per_year = 60*60*24*365 |
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103 |
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104 rain81 = rain81 / 1000. |
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105 rainmod81 = (rainmod81/ 1000.) * nsec_per_year |
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106 nppmod81 = nppmod81 * nsec_per_year |
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107 |
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108 rain933 = rain933 / 1000. |
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109 rainmod933 = (rainmod933/ 1000.) * nsec_per_year |
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110 nppmod933 = nppmod933 * nsec_per_year |
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111 |
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112 npp81@units = "gC/m^2/yr" |
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113 nppmod81@units = "gC/m^2/yr" |
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114 npp933@units = "gC/m^2/yr" |
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115 nppmod933@units = "gC/m^2/yr" |
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116 rain81@units = "m/yr" |
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117 rainmod81@units = "m/yr" |
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118 rain933@units = "m/yr" |
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119 rainmod933@units = "m/yr" |
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120 |
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121 npp81@long_name = "NPP (gC/m2/year)" |
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122 npp933@long_name = "NPP (gC/m2/year)" |
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123 nppmod81@long_name = "NPP (gC/m2/year)" |
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124 nppmod933@long_name = "NPP (gC/m2/year)" |
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125 rain81@long_name = "PREC (m/year)" |
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126 rain933@long_name = "PREC (m/year)" |
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127 rainmod81@long_name = "PREC (m/year)" |
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128 rainmod933@long_name = "PREC (m/year)" |
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129 |
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130 ;(A) plot scatter ob 81 |
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131 |
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132 plot_name = "scatter_ob_81" |
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133 title = "Observed 81 sites" |
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134 |
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135 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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136 res = True ; plot mods desired |
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137 res@tiMainString = title ; add title |
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138 res@xyMarkLineModes = "Markers" ; choose which have markers |
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139 res@xyMarkers = 16 ; choose type of marker |
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140 res@xyMarkerColor = "red" ; Marker color |
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141 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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142 res@tmLabelAutoStride = True ; nice tick mark labels |
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143 |
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144 plot = gsn_csm_xy (wks,id81,npp81,res) ; create plot |
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145 frame(wks) |
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146 |
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147 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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148 system("rm "+plot_name+"."+plot_type) |
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149 system("rm "+plot_name+"-1."+plot_type_new) |
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150 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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151 |
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152 clear (wks) |
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153 |
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154 ;(B) plot scatter ob 933 |
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155 |
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156 plot_name = "scatter_ob_933" |
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157 title = "Observed 933 sites" |
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158 |
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159 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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160 res = True ; plot mods desired |
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161 res@tiMainString = title ; add title |
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162 res@xyMarkLineModes = "Markers" ; choose which have markers |
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163 res@xyMarkers = 16 ; choose type of marker |
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164 res@xyMarkerColor = "red" ; Marker color |
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165 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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166 res@tmLabelAutoStride = True ; nice tick mark labels |
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167 |
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168 plot = gsn_csm_xy (wks,id933,npp933,res) ; create plot |
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169 frame(wks) |
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170 |
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171 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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172 system("rm "+plot_name+"."+plot_type) |
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173 system("rm "+plot_name+"-1."+plot_type_new) |
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174 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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175 |
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176 clear (wks) |
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177 |
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178 ;(C) plot scatter model 81 |
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179 |
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180 plot_name = "scatter_model_81" |
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181 title = "Model "+ model_name +" 81 sites" |
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182 |
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183 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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184 res = True ; plot mods desired |
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185 res@tiMainString = title ; add title |
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186 res@xyMarkLineModes = "Markers" ; choose which have markers |
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187 res@xyMarkers = 16 ; choose type of marker |
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188 res@xyMarkerColor = "red" ; Marker color |
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189 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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190 res@tmLabelAutoStride = True ; nice tick mark labels |
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191 |
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192 plot = gsn_csm_xy (wks,id81,nppmod81,res) ; create plot |
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193 frame(wks) |
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194 |
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195 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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196 system("rm "+plot_name+"."+plot_type) |
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197 system("rm "+plot_name+"-1."+plot_type_new) |
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198 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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199 |
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200 clear (wks) |
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201 |
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202 ;(D) plot scatter model 933 |
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203 |
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204 plot_name = "scatter_model_933" |
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205 title = "Model "+ model_name +" 933 sites" |
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206 |
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207 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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208 res = True ; plot mods desired |
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209 res@tiMainString = title ; add title |
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210 res@xyMarkLineModes = "Markers" ; choose which have markers |
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211 res@xyMarkers = 16 ; choose type of marker |
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212 res@xyMarkerColor = "red" ; Marker color |
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213 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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214 res@tmLabelAutoStride = True ; nice tick mark labels |
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215 |
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216 plot = gsn_csm_xy (wks,id933,nppmod933,res) ; create plot |
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217 frame(wks) |
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218 |
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219 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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220 system("rm "+plot_name+"."+plot_type) |
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221 system("rm "+plot_name+"-1."+plot_type_new) |
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222 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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223 |
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224 clear (wks) |
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225 |
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226 ;(E) scatter model vs ob 81 |
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227 |
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228 plot_name = "scatter_model_vs_ob_81" |
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229 title = model_name +" vs ob 81 sites" |
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230 |
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231 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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232 res = True ; plot mods desired |
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233 res@tiMainString = title ; add title |
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234 res@xyMarkLineModes = "Markers" ; choose which have markers |
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235 res@xyMarkers = 16 ; choose type of marker |
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236 res@xyMarkerColor = "red" ; Marker color |
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237 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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238 res@tmLabelAutoStride = True ; nice tick mark labels |
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239 ;------------------------------- |
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240 ;compute correlation coef. and M |
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241 ccr81 = esccr(nppmod81,npp81,0) |
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242 print (ccr81) |
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243 |
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244 ;new eq |
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245 bias = sum(abs(nppmod81-npp81)/(nppmod81+npp81)) |
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246 M81 = (1. - (bias/dimsizes(y81)))*5. |
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247 print (M81) |
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248 |
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249 tRes = True |
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250 tRes@txFontHeightF = 0.025 |
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251 |
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252 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr81)+")" |
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253 |
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254 gsn_text_ndc(wks,correlation_text,0.5,0.95,tRes) |
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255 ;-------------------------------- |
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256 plot = gsn_csm_xy (wks,npp81,nppmod81,res) ; create plot |
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257 frame(wks) |
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258 |
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259 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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260 system("rm "+plot_name+"."+plot_type) |
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261 system("rm "+plot_name+"-1."+plot_type_new) |
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262 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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263 |
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264 clear (wks) |
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265 |
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266 ;(F) scatter model vs ob 933 |
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267 |
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268 plot_name = "scatter_model_vs_ob_933" |
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269 title = model_name +" vs ob 933 sites" |
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270 |
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271 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
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272 res = True ; plot mods desired |
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273 res@tiMainString = title ; add title |
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274 res@xyMarkLineModes = "Markers" ; choose which have markers |
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275 res@xyMarkers = 16 ; choose type of marker |
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276 res@xyMarkerColor = "red" ; Marker color |
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277 res@xyMarkerSizeF = 0.01 ; Marker size (default 0.01) |
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278 res@tmLabelAutoStride = True ; nice tick mark labels |
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279 ;------------------------------- |
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280 ;compute correlation coef. and M |
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281 ccr933 = esccr(nppmod933,npp933,0) |
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282 print (ccr933) |
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283 |
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284 ;new eq |
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285 bias = sum(abs(nppmod933-npp933)/(nppmod933+npp933)) |
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286 M933 = (1. - (bias/dimsizes(y933)))*5. |
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287 print (M933) |
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288 |
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289 tRes = True |
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290 tRes@txFontHeightF = 0.025 |
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291 |
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292 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr933)+")" |
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293 |
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294 gsn_text_ndc(wks,correlation_text,0.5,0.95,tRes) |
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295 ;-------------------------------- |
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296 plot = gsn_csm_xy (wks,npp933,nppmod933,res) ; create plot |
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297 frame(wks) |
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298 |
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299 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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300 system("rm "+plot_name+"."+plot_type) |
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301 system("rm "+plot_name+"-1."+plot_type_new) |
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302 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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303 |
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304 clear (wks) |
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305 ;************************************************************************** |
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306 ;(G) histogram 81 |
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307 |
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308 ;-------------------------------------------------------------------- |
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309 ;get data |
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310 |
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311 RAIN1_1D = ndtooned(rain81) |
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312 RAIN2_1D = ndtooned(rainmod81) |
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313 NPP1_1D = ndtooned(npp81) |
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314 NPP2_1D = ndtooned(nppmod81) |
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315 ; |
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316 ; Calculate some "nice" bins for binning the data in equally spaced |
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317 ; ranges. |
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318 ; |
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319 nbins = 15 ; Number of bins to use. |
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320 |
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321 nicevals = nice_mnmxintvl(min(RAIN1_1D),max(RAIN1_1D),nbins,True) |
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322 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
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323 range = fspan(nicevals(0),nicevals(1),nvals) |
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324 ; |
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325 ; Use this range information to grab all the values in a |
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326 ; particular range, and then take an average. |
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327 ; |
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328 nr = dimsizes(range) |
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329 nx = nr-1 |
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330 xvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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331 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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332 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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333 dx4 = dx/4 ; 1/4 of the range |
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334 xvalues(1,:) = xvalues(0,:) - dx/5. |
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335 yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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336 mn_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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337 mx_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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338 |
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339 do nd=0,1 |
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340 ; |
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341 ; See if we are doing model or observational data. |
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342 ; |
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343 if(nd.eq.0) then |
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344 data = RAIN1_1D |
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345 npp_data = NPP1_1D |
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346 else |
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347 data = RAIN2_1D |
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348 npp_data = NPP2_1D |
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349 end if |
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350 ; |
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351 ; Loop through each range and check for values. |
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352 ; |
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353 do i=0,nr-2 |
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354 if (i.ne.(nr-2)) then |
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355 ; print("") |
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356 ; print("In range ["+range(i)+","+range(i+1)+")") |
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357 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
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358 else |
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359 ; print("") |
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360 ; print("In range ["+range(i)+",)") |
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361 idx = ind(range(i).le.data) |
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362 end if |
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363 ; |
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364 ; Calculate average, and get min and max. |
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365 ; |
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366 if(.not.any(ismissing(idx))) then |
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367 yvalues(nd,i) = avg(npp_data(idx)) |
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368 mn_yvalues(nd,i) = min(npp_data(idx)) |
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369 mx_yvalues(nd,i) = max(npp_data(idx)) |
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370 count = dimsizes(idx) |
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371 else |
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372 count = 0 |
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373 yvalues(nd,i) = yvalues@_FillValue |
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374 mn_yvalues(nd,i) = yvalues@_FillValue |
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375 mx_yvalues(nd,i) = yvalues@_FillValue |
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376 end if |
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377 ; |
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378 ; Print out information. |
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379 ; |
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380 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
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381 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
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382 |
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383 ; |
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384 ; Clean up for next time in loop. |
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385 ; |
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386 delete(idx) |
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387 end do |
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388 delete(data) |
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389 delete(npp_data) |
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390 end do |
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391 ;---------------------------------------- |
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392 ;compute correlation coeff and M score |
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393 u = yvalues(0,:) |
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394 v = yvalues(1,:) |
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395 |
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396 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
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397 uu = u(good) |
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398 vv = v(good) |
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399 |
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400 ccr81h = esccr(uu,vv,0) |
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401 print (ccr81h) |
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402 |
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403 ;new eq |
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404 bias = sum(abs(vv-uu)/(vv+uu)) |
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405 M81h = (1.- (bias/dimsizes(uu)))*5. |
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406 print (M81h) |
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407 |
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408 delete (u) |
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409 delete (v) |
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410 delete (uu) |
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411 delete (vv) |
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412 ;---------------------------------------------------------------------- |
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413 ; histogram res |
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414 |
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415 res = True |
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416 res@gsnMaximize = True |
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417 res@gsnDraw = False |
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418 res@gsnFrame = False |
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419 res@xyMarkLineMode = "Markers" |
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420 res@xyMarkerSizeF = 0.014 |
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421 res@xyMarker = 16 |
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422 res@xyMarkerColors = (/"Brown","Blue"/) |
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423 res@trYMinF = min(mn_yvalues) - 10. |
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424 res@trYMaxF = max(mx_yvalues) + 10. |
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425 |
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426 res@tiYAxisString = "NPP (g C/m2/year)" |
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427 res@tiXAxisString = "Precipitation (m/year)" |
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428 |
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429 max_bar = new((/2,nx/),graphic) |
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430 min_bar = new((/2,nx/),graphic) |
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431 max_cap = new((/2,nx/),graphic) |
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432 min_cap = new((/2,nx/),graphic) |
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433 |
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434 lnres = True |
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435 line_colors = (/"brown","blue"/) |
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436 ;================================================================= |
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437 ; histogram ob 81 site only |
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438 ; |
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439 plot_name = "histogram_ob_81" |
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440 title = "Observed 81 site" |
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441 res@tiMainString = title |
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442 |
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443 wks = gsn_open_wks (plot_type,plot_name) |
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444 |
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445 xy = gsn_csm_xy(wks,xvalues(0,:),yvalues(0,:),res) |
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446 |
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447 ;------------------------------- |
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448 ;Attach the vertical bar and the horizontal cap line |
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449 |
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450 do nd=0,0 |
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451 lnres@gsLineColor = line_colors(nd) |
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452 do i=0,nx-1 |
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453 |
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454 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
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455 .not.ismissing(mx_yvalues(nd,i))) then |
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456 ; |
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457 ; Attach the vertical bar, both above and below the marker. |
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458 ; |
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459 x1 = xvalues(nd,i) |
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460 y1 = yvalues(nd,i) |
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461 y2 = mn_yvalues(nd,i) |
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462 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
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463 |
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464 y2 = mx_yvalues(nd,i) |
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465 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
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466 ; |
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467 ; Attach the horizontal cap line, both above and below the marker. |
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468 ; |
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469 x1 = xvalues(nd,i) - dx4 |
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470 x2 = xvalues(nd,i) + dx4 |
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471 y1 = mn_yvalues(nd,i) |
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472 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
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473 |
|
474 y1 = mx_yvalues(nd,i) |
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475 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
476 end if |
|
477 end do |
|
478 end do |
|
479 |
|
480 draw(xy) |
|
481 frame(wks) |
|
482 |
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483 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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484 ; system("rm "+plot_name+"."+plot_type) |
|
485 ; system("rm "+plot_name+"-1."+plot_type_new) |
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486 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
487 |
|
488 clear (wks) |
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489 ;=========================================================================== |
|
490 ; histogram model vs ob 81 site |
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491 |
|
492 plot_name = "histogram_mod-ob_81" |
|
493 title = model_name+ " vs Observed 81 site" |
|
494 res@tiMainString = title |
|
495 |
|
496 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
497 |
|
498 ;----------------------------- |
|
499 ; Add a boxed legend using the more simple method, which won't have |
|
500 ; vertical lines going through the markers. |
|
501 |
|
502 res@pmLegendDisplayMode = "Always" |
|
503 ; res@pmLegendWidthF = 0.1 |
|
504 res@pmLegendWidthF = 0.08 |
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505 res@pmLegendHeightF = 0.05 |
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506 res@pmLegendOrthogonalPosF = -1.17 |
|
507 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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508 ; res@pmLegendParallelPosF = 0.18 |
|
509 res@pmLegendParallelPosF = 0.23 ;(rightward) |
|
510 |
|
511 ; res@lgPerimOn = False |
|
512 res@lgLabelFontHeightF = 0.015 |
|
513 res@xyExplicitLegendLabels = (/"observed",model_name/) |
|
514 ;----------------------------- |
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515 tRes = True |
|
516 tRes@txFontHeightF = 0.025 |
|
517 |
|
518 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr81h)+")" |
|
519 |
|
520 gsn_text_ndc(wks,correlation_text,0.5,0.8,tRes) |
|
521 |
|
522 xy = gsn_csm_xy(wks,xvalues,yvalues,res) |
|
523 ;------------------------------- |
|
524 ;Attach the vertical bar and the horizontal cap line |
|
525 |
|
526 do nd=0,1 |
|
527 lnres@gsLineColor = line_colors(nd) |
|
528 do i=0,nx-1 |
|
529 |
|
530 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
531 .not.ismissing(mx_yvalues(nd,i))) then |
|
532 ; |
|
533 ; Attach the vertical bar, both above and below the marker. |
|
534 ; |
|
535 x1 = xvalues(nd,i) |
|
536 y1 = yvalues(nd,i) |
|
537 y2 = mn_yvalues(nd,i) |
|
538 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
539 |
|
540 y2 = mx_yvalues(nd,i) |
|
541 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
542 ; |
|
543 ; Attach the horizontal cap line, both above and below the marker. |
|
544 ; |
|
545 x1 = xvalues(nd,i) - dx4 |
|
546 x2 = xvalues(nd,i) + dx4 |
|
547 y1 = mn_yvalues(nd,i) |
|
548 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
549 |
|
550 y1 = mx_yvalues(nd,i) |
|
551 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
552 end if |
|
553 end do |
|
554 end do |
|
555 draw(xy) |
|
556 frame(wks) |
|
557 |
|
558 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
559 ;system("rm "+plot_name+"."+plot_type) |
|
560 ;system("rm "+plot_name+"-1."+plot_type_new) |
|
561 ;system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
562 |
|
563 clear (wks) |
|
564 |
|
565 delete (RAIN1_1D) |
|
566 delete (RAIN2_1D) |
|
567 delete (NPP1_1D) |
|
568 delete (NPP2_1D) |
|
569 delete (range) |
|
570 delete (xvalues) |
|
571 delete (yvalues) |
|
572 delete (mn_yvalues) |
|
573 delete (mx_yvalues) |
|
574 delete (good) |
|
575 delete (max_bar) |
|
576 delete (min_bar) |
|
577 delete (max_cap) |
|
578 delete (min_cap) |
|
579 ;************************************************************************** |
|
580 ;(H) histogram 933 |
|
581 |
|
582 ;-------------------------------------------------------------------- |
|
583 ;get data |
|
584 |
|
585 RAIN1_1D = ndtooned(rain933) |
|
586 RAIN2_1D = ndtooned(rainmod933) |
|
587 NPP1_1D = ndtooned(npp933) |
|
588 NPP2_1D = ndtooned(nppmod933) |
|
589 ; |
|
590 ; Calculate some "nice" bins for binning the data in equally spaced |
|
591 ; ranges. |
|
592 ; |
|
593 nbins = 15 ; Number of bins to use. |
|
594 |
|
595 nicevals = nice_mnmxintvl(min(RAIN1_1D),max(RAIN1_1D),nbins,True) |
|
596 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
|
597 range = fspan(nicevals(0),nicevals(1),nvals) |
|
598 ; |
|
599 ; Use this range information to grab all the values in a |
|
600 ; particular range, and then take an average. |
|
601 ; |
|
602 nr = dimsizes(range) |
|
603 nx = nr-1 |
|
604 xvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
605 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
|
606 dx = xvalues(0,1) - xvalues(0,0) ; range width |
|
607 dx4 = dx/4 ; 1/4 of the range |
|
608 xvalues(1,:) = xvalues(0,:) - dx/5. |
|
609 yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
610 mn_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
611 mx_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
612 |
|
613 do nd=0,1 |
|
614 ; |
|
615 ; See if we are doing model or observational data. |
|
616 ; |
|
617 if(nd.eq.0) then |
|
618 data = RAIN1_1D |
|
619 npp_data = NPP1_1D |
|
620 else |
|
621 data = RAIN2_1D |
|
622 npp_data = NPP2_1D |
|
623 end if |
|
624 ; |
|
625 ; Loop through each range and check for values. |
|
626 ; |
|
627 do i=0,nr-2 |
|
628 if (i.ne.(nr-2)) then |
|
629 ; print("") |
|
630 ; print("In range ["+range(i)+","+range(i+1)+")") |
|
631 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
|
632 else |
|
633 ; print("") |
|
634 ; print("In range ["+range(i)+",)") |
|
635 idx = ind(range(i).le.data) |
|
636 end if |
|
637 ; |
|
638 ; Calculate average, and get min and max. |
|
639 ; |
|
640 if(.not.any(ismissing(idx))) then |
|
641 yvalues(nd,i) = avg(npp_data(idx)) |
|
642 mn_yvalues(nd,i) = min(npp_data(idx)) |
|
643 mx_yvalues(nd,i) = max(npp_data(idx)) |
|
644 count = dimsizes(idx) |
|
645 else |
|
646 count = 0 |
|
647 yvalues(nd,i) = yvalues@_FillValue |
|
648 mn_yvalues(nd,i) = yvalues@_FillValue |
|
649 mx_yvalues(nd,i) = yvalues@_FillValue |
|
650 end if |
|
651 ; |
|
652 ; Print out information. |
|
653 ; |
|
654 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
|
655 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
|
656 |
|
657 ; |
|
658 ; Clean up for next time in loop. |
|
659 ; |
|
660 delete(idx) |
|
661 end do |
|
662 delete(data) |
|
663 delete(npp_data) |
|
664 end do |
|
665 ;---------------------------------------- |
|
666 ;compute correlation coeff and M score |
|
667 u = yvalues(0,:) |
|
668 v = yvalues(1,:) |
|
669 |
|
670 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
|
671 uu = u(good) |
|
672 vv = v(good) |
|
673 |
|
674 ccr933h = esccr(uu,vv,0) |
|
675 print (ccr933h) |
|
676 |
|
677 ;new eq |
|
678 bias = sum(abs(vv-uu)/(vv+uu)) |
|
679 M933h = (1.- (bias/dimsizes(uu)))*5. |
|
680 print (M933h) |
|
681 |
|
682 delete (u) |
|
683 delete (v) |
|
684 delete (uu) |
|
685 delete (vv) |
|
686 ;---------------------------------------------------------------------- |
|
687 ; histogram res |
|
688 |
|
689 res = True |
|
690 res@gsnMaximize = True |
|
691 res@gsnDraw = False |
|
692 res@gsnFrame = False |
|
693 res@xyMarkLineMode = "Markers" |
|
694 res@xyMarkerSizeF = 0.014 |
|
695 res@xyMarker = 16 |
|
696 res@xyMarkerColors = (/"Brown","Blue"/) |
|
697 res@trYMinF = min(mn_yvalues) - 10. |
|
698 res@trYMaxF = max(mx_yvalues) + 10. |
|
699 |
|
700 res@tiYAxisString = "NPP (g C/m2/year)" |
|
701 res@tiXAxisString = "Precipitation (m/year)" |
|
702 |
|
703 max_bar = new((/2,nx/),graphic) |
|
704 min_bar = new((/2,nx/),graphic) |
|
705 max_cap = new((/2,nx/),graphic) |
|
706 min_cap = new((/2,nx/),graphic) |
|
707 |
|
708 lnres = True |
|
709 line_colors = (/"brown","blue"/) |
|
710 ;================================================================= |
|
711 ; histogram ob 933 site only |
|
712 ; |
|
713 plot_name = "histogram_ob_933" |
|
714 title = "Observed 933 site" |
|
715 res@tiMainString = title |
|
716 |
|
717 wks = gsn_open_wks (plot_type,plot_name) |
|
718 |
|
719 xy = gsn_csm_xy(wks,xvalues(0,:),yvalues(0,:),res) |
|
720 |
|
721 ;------------------------------- |
|
722 ;Attach the vertical bar and the horizontal cap line |
|
723 |
|
724 do nd=0,0 |
|
725 lnres@gsLineColor = line_colors(nd) |
|
726 do i=0,nx-1 |
|
727 |
|
728 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
729 .not.ismissing(mx_yvalues(nd,i))) then |
|
730 ; |
|
731 ; Attach the vertical bar, both above and below the marker. |
|
732 ; |
|
733 x1 = xvalues(nd,i) |
|
734 y1 = yvalues(nd,i) |
|
735 y2 = mn_yvalues(nd,i) |
|
736 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
737 |
|
738 y2 = mx_yvalues(nd,i) |
|
739 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
740 ; |
|
741 ; Attach the horizontal cap line, both above and below the marker. |
|
742 ; |
|
743 x1 = xvalues(nd,i) - dx4 |
|
744 x2 = xvalues(nd,i) + dx4 |
|
745 y1 = mn_yvalues(nd,i) |
|
746 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
747 |
|
748 y1 = mx_yvalues(nd,i) |
|
749 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
750 end if |
|
751 end do |
|
752 end do |
|
753 |
|
754 draw(xy) |
|
755 frame(wks) |
|
756 |
|
757 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
758 ; system("rm "+plot_name+"."+plot_type) |
|
759 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
760 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
761 |
|
762 clear (wks) |
|
763 ;=========================================================================== |
|
764 ; histogram model vs ob 933 site |
|
765 |
|
766 plot_name = "histogram_mod-ob_933" |
|
767 title = model_name+ " vs Observed 933 site" |
|
768 res@tiMainString = title |
|
769 |
|
770 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
771 |
|
772 ;----------------------------- |
|
773 ; Add a boxed legend using the more simple method, which won't have |
|
774 ; vertical lines going through the markers. |
|
775 |
|
776 res@pmLegendDisplayMode = "Always" |
|
777 ; res@pmLegendWidthF = 0.1 |
|
778 res@pmLegendWidthF = 0.08 |
|
779 res@pmLegendHeightF = 0.05 |
|
780 res@pmLegendOrthogonalPosF = -1.17 |
|
781 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
|
782 ; res@pmLegendParallelPosF = 0.18 |
|
783 res@pmLegendParallelPosF = 0.23 ;(rightward) |
|
784 |
|
785 ; res@lgPerimOn = False |
|
786 res@lgLabelFontHeightF = 0.015 |
|
787 res@xyExplicitLegendLabels = (/"observed",model_name/) |
|
788 ;----------------------------- |
|
789 tRes = True |
|
790 tRes@txFontHeightF = 0.025 |
|
791 |
|
792 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr933h)+")" |
|
793 |
|
794 gsn_text_ndc(wks,correlation_text,0.5,0.8,tRes) |
|
795 |
|
796 xy = gsn_csm_xy(wks,xvalues,yvalues,res) |
|
797 ;------------------------------- |
|
798 ;Attach the vertical bar and the horizontal cap line |
|
799 |
|
800 do nd=0,1 |
|
801 lnres@gsLineColor = line_colors(nd) |
|
802 do i=0,nx-1 |
|
803 |
|
804 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
805 .not.ismissing(mx_yvalues(nd,i))) then |
|
806 ; |
|
807 ; Attach the vertical bar, both above and below the marker. |
|
808 ; |
|
809 x1 = xvalues(nd,i) |
|
810 y1 = yvalues(nd,i) |
|
811 y2 = mn_yvalues(nd,i) |
|
812 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
813 |
|
814 y2 = mx_yvalues(nd,i) |
|
815 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
816 ; |
|
817 ; Attach the horizontal cap line, both above and below the marker. |
|
818 ; |
|
819 x1 = xvalues(nd,i) - dx4 |
|
820 x2 = xvalues(nd,i) + dx4 |
|
821 y1 = mn_yvalues(nd,i) |
|
822 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
823 |
|
824 y1 = mx_yvalues(nd,i) |
|
825 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
826 end if |
|
827 end do |
|
828 end do |
|
829 draw(xy) |
|
830 frame(wks) |
|
831 |
|
832 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
833 ;system("rm "+plot_name+"."+plot_type) |
|
834 ;system("rm "+plot_name+"-1."+plot_type_new) |
|
835 ;system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
836 |
|
837 clear (wks) |
|
838 ;------------------------------------------------------------------------ |
|
839 |
|
840 end |