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1 ; *********************************************** |
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2 ; combine all scatter and all histogram |
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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 nppglobe = fglobe->NPP |
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77 |
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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 ; Calculate some "nice" bins for binning the data in equally spaced |
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337 ; ranges. |
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338 ; |
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339 nbins = 15 ; Number of bins to use. |
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340 |
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341 nicevals = nice_mnmxintvl(min(RAIN1_1D),max(RAIN1_1D),nbins,True) |
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342 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
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343 range = fspan(nicevals(0),nicevals(1),nvals) |
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344 ; |
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345 ; Use this range information to grab all the values in a |
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346 ; particular range, and then take an average. |
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347 ; |
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348 nr = dimsizes(range) |
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349 nx = nr-1 |
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350 xvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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351 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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352 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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353 dx4 = dx/4 ; 1/4 of the range |
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354 xvalues(1,:) = xvalues(0,:) - dx/5. |
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355 yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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356 mn_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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357 mx_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
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358 |
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359 do nd=0,1 |
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360 ; |
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361 ; See if we are doing model or observational data. |
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362 ; |
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363 if(nd.eq.0) then |
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364 data = RAIN1_1D |
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365 npp_data = NPP1_1D |
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366 else |
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367 data = RAIN2_1D |
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368 npp_data = NPP2_1D |
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369 end if |
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370 ; |
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371 ; Loop through each range and check for values. |
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372 ; |
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373 do i=0,nr-2 |
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374 if (i.ne.(nr-2)) then |
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375 ; print("") |
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376 ; print("In range ["+range(i)+","+range(i+1)+")") |
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377 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
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378 else |
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379 ; print("") |
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380 ; print("In range ["+range(i)+",)") |
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381 idx = ind(range(i).le.data) |
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382 end if |
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383 ; |
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384 ; Calculate average, and get min and max. |
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385 ; |
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386 if(.not.any(ismissing(idx))) then |
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387 yvalues(nd,i) = avg(npp_data(idx)) |
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388 mn_yvalues(nd,i) = min(npp_data(idx)) |
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389 mx_yvalues(nd,i) = max(npp_data(idx)) |
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390 count = dimsizes(idx) |
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391 else |
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392 count = 0 |
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393 yvalues(nd,i) = yvalues@_FillValue |
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394 mn_yvalues(nd,i) = yvalues@_FillValue |
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395 mx_yvalues(nd,i) = yvalues@_FillValue |
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396 end if |
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397 ; |
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398 ; Print out information. |
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399 ; |
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400 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
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401 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
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402 |
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403 ; |
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404 ; Clean up for next time in loop. |
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405 ; |
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406 delete(idx) |
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407 end do |
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408 delete(data) |
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409 delete(npp_data) |
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410 end do |
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411 ;---------------------------------------- |
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412 ;compute correlation coeff and M score |
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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 res = True |
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436 res@gsnMaximize = True |
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437 res@gsnDraw = False |
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438 res@gsnFrame = False |
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439 res@xyMarkLineMode = "Markers" |
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440 res@xyMarkerSizeF = 0.014 |
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441 res@xyMarker = 16 |
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442 res@xyMarkerColors = (/"Brown","Blue"/) |
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443 res@trYMinF = min(mn_yvalues) - 10. |
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444 res@trYMaxF = max(mx_yvalues) + 10. |
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445 |
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446 res@tiYAxisString = "NPP (g C/m2/year)" |
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447 res@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 res@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,:),res) |
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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 res@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 res@pmLegendDisplayMode = "Always" |
|
523 ; res@pmLegendWidthF = 0.1 |
|
524 res@pmLegendWidthF = 0.08 |
|
525 res@pmLegendHeightF = 0.05 |
|
526 res@pmLegendOrthogonalPosF = -1.17 |
|
527 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
|
528 ; res@pmLegendParallelPosF = 0.18 |
|
529 res@pmLegendParallelPosF = 0.23 ;(rightward) |
|
530 |
|
531 ; res@lgPerimOn = False |
|
532 res@lgLabelFontHeightF = 0.015 |
|
533 res@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,0.5,0.8,tRes) |
|
541 |
|
542 xy = gsn_csm_xy(wks,xvalues,yvalues,res) |
|
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 some "nice" bins for binning the data in equally spaced |
|
611 ; ranges. |
|
612 ; |
|
613 nbins = 15 ; Number of bins to use. |
|
614 |
|
615 nicevals = nice_mnmxintvl(min(RAIN1_1D),max(RAIN1_1D),nbins,True) |
|
616 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
|
617 range = fspan(nicevals(0),nicevals(1),nvals) |
|
618 ; |
|
619 ; Use this range information to grab all the values in a |
|
620 ; particular range, and then take an average. |
|
621 ; |
|
622 nr = dimsizes(range) |
|
623 nx = nr-1 |
|
624 xvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
625 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
|
626 dx = xvalues(0,1) - xvalues(0,0) ; range width |
|
627 dx4 = dx/4 ; 1/4 of the range |
|
628 xvalues(1,:) = xvalues(0,:) - dx/5. |
|
629 yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
630 mn_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
631 mx_yvalues = new((/2,nx/),typeof(RAIN1_1D)) |
|
632 |
|
633 do nd=0,1 |
|
634 ; |
|
635 ; See if we are doing model or observational data. |
|
636 ; |
|
637 if(nd.eq.0) then |
|
638 data = RAIN1_1D |
|
639 npp_data = NPP1_1D |
|
640 else |
|
641 data = RAIN2_1D |
|
642 npp_data = NPP2_1D |
|
643 end if |
|
644 ; |
|
645 ; Loop through each range and check for values. |
|
646 ; |
|
647 do i=0,nr-2 |
|
648 if (i.ne.(nr-2)) then |
|
649 ; print("") |
|
650 ; print("In range ["+range(i)+","+range(i+1)+")") |
|
651 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
|
652 else |
|
653 ; print("") |
|
654 ; print("In range ["+range(i)+",)") |
|
655 idx = ind(range(i).le.data) |
|
656 end if |
|
657 ; |
|
658 ; Calculate average, and get min and max. |
|
659 ; |
|
660 if(.not.any(ismissing(idx))) then |
|
661 yvalues(nd,i) = avg(npp_data(idx)) |
|
662 mn_yvalues(nd,i) = min(npp_data(idx)) |
|
663 mx_yvalues(nd,i) = max(npp_data(idx)) |
|
664 count = dimsizes(idx) |
|
665 else |
|
666 count = 0 |
|
667 yvalues(nd,i) = yvalues@_FillValue |
|
668 mn_yvalues(nd,i) = yvalues@_FillValue |
|
669 mx_yvalues(nd,i) = yvalues@_FillValue |
|
670 end if |
|
671 ; |
|
672 ; Print out information. |
|
673 ; |
|
674 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
|
675 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
|
676 |
|
677 ; |
|
678 ; Clean up for next time in loop. |
|
679 ; |
|
680 delete(idx) |
|
681 end do |
|
682 delete(data) |
|
683 delete(npp_data) |
|
684 end do |
|
685 ;---------------------------------------- |
|
686 ;compute correlation coeff and M score |
|
687 u = yvalues(0,:) |
|
688 v = yvalues(1,:) |
|
689 |
|
690 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
|
691 uu = u(good) |
|
692 vv = v(good) |
|
693 |
|
694 ccr933h = esccr(uu,vv,0) |
|
695 print (ccr933h) |
|
696 |
|
697 ;new eq |
|
698 bias = sum(abs(vv-uu)/(vv+uu)) |
|
699 M933h = (1.- (bias/dimsizes(uu)))*5. |
|
700 print (M933h) |
|
701 |
|
702 delete (u) |
|
703 delete (v) |
|
704 delete (uu) |
|
705 delete (vv) |
|
706 ;---------------------------------------------------------------------- |
|
707 ; histogram res |
|
708 |
|
709 res = True |
|
710 res@gsnMaximize = True |
|
711 res@gsnDraw = False |
|
712 res@gsnFrame = False |
|
713 res@xyMarkLineMode = "Markers" |
|
714 res@xyMarkerSizeF = 0.014 |
|
715 res@xyMarker = 16 |
|
716 res@xyMarkerColors = (/"Brown","Blue"/) |
|
717 res@trYMinF = min(mn_yvalues) - 10. |
|
718 res@trYMaxF = max(mx_yvalues) + 10. |
|
719 |
|
720 res@tiYAxisString = "NPP (g C/m2/year)" |
|
721 res@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 res@tiMainString = title |
|
736 |
|
737 wks = gsn_open_wks (plot_type,plot_name) |
|
738 |
|
739 xy = gsn_csm_xy(wks,xvalues(0,:),yvalues(0,:),res) |
|
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 clear (wks) |
|
783 ;=========================================================================== |
|
784 ; histogram model vs ob 933 site |
|
785 |
|
786 plot_name = "histogram_mod-ob_933" |
|
787 title = model_name+ " vs Observed 933 site" |
|
788 res@tiMainString = title |
|
789 |
|
790 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
791 |
|
792 ;----------------------------- |
|
793 ; Add a boxed legend using the more simple method, which won't have |
|
794 ; vertical lines going through the markers. |
|
795 |
|
796 res@pmLegendDisplayMode = "Always" |
|
797 ; res@pmLegendWidthF = 0.1 |
|
798 res@pmLegendWidthF = 0.08 |
|
799 res@pmLegendHeightF = 0.05 |
|
800 res@pmLegendOrthogonalPosF = -1.17 |
|
801 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
|
802 ; res@pmLegendParallelPosF = 0.18 |
|
803 res@pmLegendParallelPosF = 0.23 ;(rightward) |
|
804 |
|
805 ; res@lgPerimOn = False |
|
806 res@lgLabelFontHeightF = 0.015 |
|
807 res@xyExplicitLegendLabels = (/"observed",model_name/) |
|
808 ;----------------------------- |
|
809 tRes = True |
|
810 tRes@txFontHeightF = 0.025 |
|
811 |
|
812 correlation_text = "(correlation coef = "+sprintf("%5.2f", ccr933h)+")" |
|
813 |
|
814 gsn_text_ndc(wks,correlation_text,0.5,0.8,tRes) |
|
815 |
|
816 xy = gsn_csm_xy(wks,xvalues,yvalues,res) |
|
817 ;------------------------------- |
|
818 ;Attach the vertical bar and the horizontal cap line |
|
819 |
|
820 do nd=0,1 |
|
821 lnres@gsLineColor = line_colors(nd) |
|
822 do i=0,nx-1 |
|
823 |
|
824 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
|
825 .not.ismissing(mx_yvalues(nd,i))) then |
|
826 ; |
|
827 ; Attach the vertical bar, both above and below the marker. |
|
828 ; |
|
829 x1 = xvalues(nd,i) |
|
830 y1 = yvalues(nd,i) |
|
831 y2 = mn_yvalues(nd,i) |
|
832 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
833 |
|
834 y2 = mx_yvalues(nd,i) |
|
835 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
|
836 ; |
|
837 ; Attach the horizontal cap line, both above and below the marker. |
|
838 ; |
|
839 x1 = xvalues(nd,i) - dx4 |
|
840 x2 = xvalues(nd,i) + dx4 |
|
841 y1 = mn_yvalues(nd,i) |
|
842 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
843 |
|
844 y1 = mx_yvalues(nd,i) |
|
845 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
|
846 end if |
|
847 end do |
|
848 end do |
|
849 draw(xy) |
|
850 frame(wks) |
|
851 |
|
852 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
853 ; system("rm "+plot_name+"."+plot_type) |
|
854 ; system("rm "+plot_name+"-1."+plot_type_new) |
|
855 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
856 |
|
857 clear (wks) |
|
858 ;------------------------------------------------------------------------ |
|
859 ;global contour |
|
860 |
|
861 ;res |
|
862 resw = True ; Use plot options |
|
863 resw@cnFillOn = True ; Turn on color fill |
|
864 resw@gsnSpreadColors = True ; use full colormap |
|
865 ; resw@cnFillMode = "RasterFill" ; Turn on raster color |
|
866 ; resw@lbLabelAutoStride = True |
|
867 resw@cnLinesOn = False ; Turn off contourn lines |
|
868 resw@mpFillOn = False ; Turn off map fill |
|
869 |
|
870 resw@gsnSpreadColors = True ; use full colormap |
|
871 resw@cnLevelSelectionMode = "ManualLevels" ; Manual contour invtervals |
|
872 resw@cnMinLevelValF = 0. ; Min level |
|
873 resw@cnMaxLevelValF = 2200. ; Max level |
|
874 resw@cnLevelSpacingF = 200. ; interval |
|
875 ;------------------------------------------------------------------------ |
|
876 ;global contour ob |
|
877 |
|
878 delta = 0.00000000001 |
|
879 nppglobe = where(ismissing(nppglobe).and.(ismissing(nppmod).or.(nppmod.lt.delta)),0.,nppglobe) |
|
880 |
|
881 plot_name = "global_ob" |
|
882 title = "Observed MODIS MOD 17" |
|
883 resw@tiMainString = title |
|
884 |
|
885 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
886 gsn_define_colormap(wks,"gui_default") ; choose colormap |
|
887 |
|
888 |
|
889 plot = gsn_csm_contour_map_ce(wks,nppglobe,resw) |
|
890 frame(wks) |
|
891 |
|
892 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
893 system("rm "+plot_name+"."+plot_type) |
|
894 system("rm "+plot_name+"-1."+plot_type_new) |
|
895 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
896 |
|
897 clear (wks) |
|
898 ;------------------------------------------------------------------------ |
|
899 ;global contour model |
|
900 |
|
901 plot_name = "global_model" |
|
902 title = "Model "+ model_name |
|
903 resw@tiMainString = title |
|
904 |
|
905 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
906 gsn_define_colormap(wks,"gui_default") ; choose colormap |
|
907 |
|
908 plot = gsn_csm_contour_map_ce(wks,nppmod,resw) |
|
909 frame(wks) |
|
910 |
|
911 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
|
912 system("rm "+plot_name+"."+plot_type) |
|
913 system("rm "+plot_name+"-1."+plot_type_new) |
|
914 system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
|
915 |
|
916 clear (wks) |
|
917 ;------------------------------------------------------------------------ |
|
918 ;global contour model vs ob |
|
919 |
|
920 plot_name = "global_model_vs_ob" |
|
921 |
|
922 wks = gsn_open_wks (plot_type,plot_name) ; open workstation |
|
923 gsn_define_colormap(wks,"gui_default") ; choose colormap |
|
924 |
|
925 delete (plot) |
|
926 plot=new(3,graphic) ; create graphic array |
|
927 |
|
928 resw@gsnFrame = False ; Do not draw plot |
|
929 resw@gsnDraw = False ; Do not advance frame |
|
930 |
|
931 ;(a) ob |
|
932 |
|
933 title = "Observed MODIS MOD 17" |
|
934 resw@tiMainString = title |
|
935 |
|
936 plot(0) = gsn_csm_contour_map_ce(wks,nppglobe,resw) ; for observed |
|
937 |
|
938 ;(b) model |
|
939 |
|
940 title = "Model "+ model_name |
|
941 resw@tiMainString = title |
|
942 |
|
943 plot(1) = gsn_csm_contour_map_ce(wks,nppmod,resw) ; for model |
|
944 |
|
945 ;(c) model-ob |
|
946 |
|
947 zz = nppmod |
|
948 zz = nppmod - nppglobe |
|
949 title = "Model_"+model_name+" - Observed" |
|
950 |
|
951 resw@cnMinLevelValF = -500 ; Min level |
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952 resw@cnMaxLevelValF = 500. ; Max level |
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953 resw@cnLevelSpacingF = 50. ; interval |
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954 resw@tiMainString = title |
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955 |
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956 plot(2) = gsn_csm_contour_map_ce(wks,zz,resw) |
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957 |
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958 pres = True ; panel plot mods desired |
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959 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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960 ; indiv. plots in panel |
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961 pres@gsnMaximize = True ; fill the page |
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962 |
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963 gsn_panel(wks,plot,(/3,1/),pres) ; create panel plot |
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964 |
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965 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new) |
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966 system("rm "+plot_name+"."+plot_type) |
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967 ; system("rm "+plot_name+"-1."+plot_type_new) |
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968 ; system("mv "+plot_name+"-0."+plot_type_new+" "+plot_name+"."+plot_type_new) |
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969 |
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970 frame (wks) |
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971 clear (wks) |
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972 end |