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1 ;******************************************************** |
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2 ; histogram normalized by rain and compute correleration |
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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 ; |
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17 ; Main code. |
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18 ; |
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19 begin |
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20 data_types = (/ "Obs", "Model" /) |
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21 data_names = (/ "data.81.nc" , "i01.03cn_1545-1569_ANN_climo.nc" /) |
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22 ; data_names = (/ "data.933.nc", "i01.03cn_1545-1569_ANN_climo.nc" /) |
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23 ; data_names = (/ "data.81.nc" , "i01.04casa_1605-1629_ANN_climo.nc" /) |
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24 ; data_names = (/ "data.933.nc", "i01.04casa_1605-1629_ANN_climo.nc" /) |
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25 filevar_names = (/ (/"PREC_ANN","TNPP_C"/), (/"RAIN","NPP"/) /) |
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26 ndata_types = dimsizes(data_types) |
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27 |
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28 data_file_obs = addfile(data_names(0),"r") ; Open obs file |
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29 data_file_mod = addfile(data_names(1),"r") ; Open model file |
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30 |
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31 ;************************************************ |
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32 ; read in data: observed |
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33 ;************************************************ |
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34 RAIN1 = tofloat(data_file_obs->PREC_ANN) ; for data.81 |
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35 ;RAIN1 = data_file_obs->PREC ; for data.933 |
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36 NPP1 = data_file_obs->TNPP_C |
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37 xo = data_file_obs->LONG_DD |
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38 yo = data_file_obs->LAT_DD |
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39 |
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40 ; change longitude from (-180,180) to (0,360) |
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41 print (xo) |
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42 nx = dimsizes(xo) |
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43 do i= 0,nx-1 |
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44 if (xo(i) .lt. 0.) then |
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45 xo(i) = xo(i)+ 360. |
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46 end if |
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47 end do |
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48 print (xo) |
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49 |
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50 ;************************************************ |
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51 ; read in data: model |
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52 ;************************************************ |
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53 ai = data_file_mod->RAIN |
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54 bi = data_file_mod->NPP |
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55 xi = data_file_mod->lon |
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56 yi = data_file_mod->lat |
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57 |
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58 ;************************************************ |
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59 ; interpolate from model grid to observed grid |
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60 ;************************************************ |
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61 RAIN2 = linint2_points(xi,yi,ai,True,xo,yo,0) |
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62 NPP2 = linint2_points(xi,yi,bi,True,xo,yo,0) |
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63 |
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64 ;************************************************ |
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65 ; convert unit |
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66 ;************************************************ |
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67 ; Units for these four variables are: |
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68 ; |
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69 ; RAIN1 : mm/year |
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70 ; RAIN2 : mm/s |
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71 ; NPP1 : g C/m^2/year |
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72 ; NPP2 : g C/m^2/s |
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73 ; |
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74 ; We want to convert these to "m/year" and "g C/m^2/year". |
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75 ; |
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76 nsec_per_year = 60*60*24*365 ; # seconds per year |
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77 |
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78 ; Do the necessary conversions. |
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79 RAIN1 = RAIN1 / 1000. |
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80 RAIN2 = (RAIN2/ 1000.) * nsec_per_year |
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81 NPP2 = NPP2 * nsec_per_year |
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82 |
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83 ; Redo the units. |
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84 RAIN1@units = "m/yr" |
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85 RAIN2@units = "m/yr" |
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86 NPP1@units = "gC/m^2/yr" |
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87 NPP2@units = "gC/m^2/yr" |
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88 |
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89 ;************************************************ |
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90 ; print min/max and unit |
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91 ;************************************************ |
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92 pminmax(RAIN1,"RAIN1") |
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93 pminmax(RAIN2,"RAIN2") |
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94 pminmax(NPP1,"NPP1") |
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95 pminmax(NPP2,"NPP2") |
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96 |
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97 RAIN1_1D = ndtooned(RAIN1) |
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98 RAIN2_1D = ndtooned(RAIN2) |
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99 NPP1_1D = ndtooned(NPP1) |
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100 NPP2_1D = ndtooned(NPP2) |
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101 ; |
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102 ; Calculate some "nice" bins for binning the data in equally spaced |
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103 ; ranges. |
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104 ; |
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105 nbins = 15 ; Number of bins to use. |
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106 |
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107 nicevals = nice_mnmxintvl(min(RAIN2_1D),max(RAIN2_1D),nbins,True) |
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108 nvals = floattoint((nicevals(1) - nicevals(0))/nicevals(2) + 1) |
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109 range = fspan(nicevals(0),nicevals(1),nvals) |
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110 ; |
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111 ; Use this range information to grab all the values in a |
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112 ; particular range, and then take an average. |
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113 ; |
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114 nr = dimsizes(range) |
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115 nx = nr-1 |
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116 xvalues = new((/2,nx/),typeof(RAIN2_1D)) |
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117 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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118 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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119 dx4 = dx/4 ; 1/4 of the range |
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120 xvalues(1,:) = xvalues(0,:) - dx/5. |
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121 yvalues = new((/2,nx/),typeof(RAIN2_1D)) |
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122 mn_yvalues = new((/2,nx/),typeof(RAIN2_1D)) |
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123 mx_yvalues = new((/2,nx/),typeof(RAIN2_1D)) |
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124 |
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125 do nd=0,1 |
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126 ; |
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127 ; See if we are doing model or observational data. |
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128 ; |
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129 if(nd.eq.0) then |
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130 data = RAIN1_1D |
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131 npp_data = NPP1_1D |
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132 else |
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133 data = RAIN2_1D |
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134 npp_data = NPP2_1D |
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135 end if |
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136 ; |
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137 ; Loop through each range and check for values. |
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138 ; |
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139 do i=0,nr-2 |
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140 if (i.ne.(nr-2)) then |
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141 ; print("") |
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142 ; print("In range ["+range(i)+","+range(i+1)+")") |
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143 idx = ind((range(i).le.data).and.(data.lt.range(i+1))) |
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144 else |
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145 ; print("") |
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146 ; print("In range ["+range(i)+",)") |
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147 idx = ind(range(i).le.data) |
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148 end if |
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149 ; |
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150 ; Calculate average, and get min and max. |
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151 ; |
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152 if(.not.any(ismissing(idx))) then |
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153 yvalues(nd,i) = avg(npp_data(idx)) |
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154 mn_yvalues(nd,i) = min(npp_data(idx)) |
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155 mx_yvalues(nd,i) = max(npp_data(idx)) |
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156 count = dimsizes(idx) |
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157 else |
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158 count = 0 |
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159 yvalues(nd,i) = yvalues@_FillValue |
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160 mn_yvalues(nd,i) = yvalues@_FillValue |
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161 mx_yvalues(nd,i) = yvalues@_FillValue |
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162 end if |
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163 ; |
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164 ; Print out information. |
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165 ; |
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166 ; print(data_types(nd) + ": " + count + " points, avg = " + yvalues(nd,i)) |
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167 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
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168 |
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169 ; |
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170 ; Clean up for next time in loop. |
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171 ; |
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172 delete(idx) |
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173 end do |
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174 delete(data) |
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175 delete(npp_data) |
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176 end do |
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177 |
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178 ; |
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179 ; Start the graphics. |
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180 ; |
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181 wks = gsn_open_wks("png","hist") |
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182 |
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183 res = True |
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184 res@gsnMaximize = True |
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185 res@gsnDraw = False |
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186 res@gsnFrame = False |
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187 res@xyMarkLineMode = "Markers" |
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188 res@xyMarkerSizeF = 0.014 |
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189 res@xyMarker = 16 |
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190 res@xyMarkerColors = (/"Brown","Blue"/) |
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191 res@trYMinF = min(mn_yvalues) - 10. |
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192 res@trYMaxF = max(mx_yvalues) + 10. |
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193 |
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194 res@tiMainString = "Observed 81 sites" |
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195 ; res@tiMainString = "Observed 933 sites" |
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196 res@tiYAxisString = "NPP (g C/m2/year)" |
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197 res@tiXAxisString = "Precipitation (m/year)" |
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198 |
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199 ; |
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200 ; Add a boxed legend using the more simple method, which won't have |
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201 ; vertical lines going through the markers. |
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202 ; |
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203 ; res@pmLegendDisplayMode = "Always" |
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204 ;;res@pmLegendWidthF = 0.1 |
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205 ; res@pmLegendWidthF = 0.08 |
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206 ; res@pmLegendHeightF = 0.05 |
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207 ; res@pmLegendOrthogonalPosF = -1.17 |
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208 ;;res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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209 ;;res@pmLegendParallelPosF = 0.18 |
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210 ; res@pmLegendParallelPosF = 0.23 ;(rightward) |
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211 |
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212 ; res@lgPerimOn = False |
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213 ; res@lgLabelFontHeightF = 0.015 |
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214 ; res@xyExplicitLegendLabels = (/"observed","model_i01.03cn"/) |
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215 ;;res@xyExplicitLegendLabels = (/"observed","model_i01.04casa"/) |
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216 |
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217 xy = gsn_csm_xy(wks,xvalues(0,:),yvalues(0,:),res) |
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218 |
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219 max_bar = new((/2,nx/),graphic) |
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220 min_bar = new((/2,nx/),graphic) |
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221 max_cap = new((/2,nx/),graphic) |
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222 min_cap = new((/2,nx/),graphic) |
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223 |
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224 lnres = True |
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225 |
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226 line_colors = (/"brown","blue"/) |
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227 ; do nd=0,1 |
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228 do nd=0,0 |
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229 lnres@gsLineColor = line_colors(nd) |
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230 do i=0,nx-1 |
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231 |
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232 if(.not.ismissing(mn_yvalues(nd,i)).and. \ |
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233 .not.ismissing(mx_yvalues(nd,i))) then |
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234 ; |
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235 ; Attach the vertical bar, both above and below the marker. |
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236 ; |
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237 x1 = xvalues(nd,i) |
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238 y1 = yvalues(nd,i) |
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239 y2 = mn_yvalues(nd,i) |
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240 min_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
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241 |
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242 y2 = mx_yvalues(nd,i) |
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243 max_bar(nd,i) = gsn_add_polyline(wks,xy,(/x1,x1/),(/y1,y2/),lnres) |
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244 ; |
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245 ; Attach the horizontal cap line, both above and below the marker. |
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246 ; |
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247 x1 = xvalues(nd,i) - dx4 |
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248 x2 = xvalues(nd,i) + dx4 |
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249 y1 = mn_yvalues(nd,i) |
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250 min_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
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251 |
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252 y1 = mx_yvalues(nd,i) |
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253 max_cap(nd,i) = gsn_add_polyline(wks,xy,(/x1,x2/),(/y1,y1/),lnres) |
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254 end if |
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255 end do |
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256 end do |
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257 |
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258 ; |
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259 ; Here's how to do the legend by hand. |
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260 ; |
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261 ; mkres = True ; Marker resources |
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262 ; txres = True ; Text resources |
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263 ; mkres@gsMarkerIndex = 16 |
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264 ; mkres@gsMarkerSizeF = 0.02 |
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265 ; txres@txFontHeightF = 0.02 |
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266 ; txres@txJust = "CenterLeft" |
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267 ; |
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268 ; Change these values if you want to move the marker legend location. |
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269 ; These values are in the same data space as the plot. |
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270 ; |
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271 ; xlg1_cen = 0.2 |
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272 ; ylg1_cen = 900. |
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273 |
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274 ; xlg2_cen = 0.2 |
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275 ; ylg2_cen = 760. |
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276 |
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277 ; mkres@gsMarkerColor = "brown" |
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278 ; lnres@gsLineColor = "brown" |
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279 |
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280 ; lg_mark_legend1 = gsn_add_polymarker(wks,xy,xlg1_cen,ylg1_cen,mkres) |
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281 ; lg_line_legend1 = gsn_add_polyline(wks,xy,(/xlg1_cen,xlg1_cen/), \ |
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282 ; (/ylg1_cen-60,ylg1_cen+60/),lnres) |
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283 ; lg_cap_legend11 = gsn_add_polyline(wks,xy,(/xlg1_cen-0.1,xlg1_cen+0.1/), \ |
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284 ; (/ylg1_cen-60,ylg1_cen-60/),lnres) |
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285 ; lg_cap_legend12 = gsn_add_polyline(wks,xy,(/xlg1_cen-0.1,xlg1_cen+0.1/), \ |
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286 ; (/ylg1_cen+60,ylg1_cen+60/),lnres) |
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287 |
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288 ; tx_legend1 = gsn_add_text(wks,xy,"observed",xlg1_cen+0.15,ylg1_cen,txres) |
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289 |
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290 ; mkres@gsMarkerColor = "blue" |
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291 ; lnres@gsLineColor = "blue" |
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292 |
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293 ; lg_mark_legend2 = gsn_add_polymarker(wks,xy,xlg2_cen,ylg2_cen,mkres) |
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294 ; lg_line_legend2 = gsn_add_polyline(wks,xy,(/xlg2_cen,xlg2_cen/), \ |
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295 ; (/ylg2_cen-60,ylg2_cen+60/),lnres) |
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296 ; lg_cap_legend21 = gsn_add_polyline(wks,xy,(/xlg2_cen-0.1,xlg2_cen+0.1/), \ |
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297 ; (/ylg2_cen-60,ylg2_cen-60/),lnres) |
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298 ; lg_cap_legend22 = gsn_add_polyline(wks,xy,(/xlg2_cen-0.1,xlg2_cen+0.1/), \ |
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299 ; (/ylg2_cen+60,ylg2_cen+60/),lnres) |
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300 ; tx_legend2 = gsn_add_text(wks,xy,"model_i01.03cn",xlg2_cen+0.15,ylg2_cen,txres) |
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301 |
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302 draw(xy) |
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303 frame(wks) |
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304 |
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305 end |
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306 |