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1 ;******************************************************** |
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2 ;using model biome vlass |
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3 ; |
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4 ; required command line input parameters: |
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5 ; ncl 'model_name="10cn" model_grid="T42" dirm="/.../ film="..."' 01.npp.ncl |
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6 ; |
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7 ; histogram normalized by rain and compute correleration |
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8 ;************************************************************** |
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9 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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10 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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11 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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12 ;************************************************************** |
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13 procedure set_line(lines:string,nline:integer,newlines:string) |
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14 begin |
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15 ; add line to ascci/html file |
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16 |
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17 nnewlines = dimsizes(newlines) |
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18 if(nline+nnewlines-1.ge.dimsizes(lines)) |
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19 print("set_line: bad index, not setting anything.") |
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20 return |
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21 end if |
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22 lines(nline:nline+nnewlines-1) = newlines |
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23 ; print ("lines = " + lines(nline:nline+nnewlines-1)) |
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24 nline = nline + nnewlines |
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25 return |
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26 end |
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27 ;************************************************************** |
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28 ; Main code. |
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29 begin |
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30 |
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31 plot_type = "ps" |
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32 plot_type_new = "png" |
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33 |
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34 ;************************************************ |
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35 ; model name and grid |
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36 ;************************************************ |
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37 |
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38 model_grid = "T42" |
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39 |
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40 model_name = "cn" |
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41 model_name1 = "i01.06cn" |
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42 model_name2 = "i01.10cn" |
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43 |
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44 ;--------------------------------------------------- |
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45 ; get biome data: model |
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46 |
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47 biome_name_mod = "Model PFT Class" |
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48 |
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49 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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50 film = "class_pft_"+model_grid+".nc" |
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51 |
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52 fm = addfile(dirm+film,"r") |
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53 |
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54 classmod = fm->CLASS_PFT |
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55 |
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56 delete (fm) |
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57 |
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58 ; model data has 17 land-type classes |
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59 |
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60 nclass_mod = 17 |
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61 |
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62 ;-------------------------------------------------- |
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63 ; get model data: landfrac and area |
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64 |
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65 dirm_l= "/fis/cgd/cseg/people/jeff/surface_data/" |
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66 film_l = "lnd_T42.nc" |
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67 fm_l = addfile (dirm_l+film_l,"r") |
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68 |
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69 landfrac = fm_l->landfrac |
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70 area = fm_l->area |
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71 |
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72 ; change area from km**2 to m**2 |
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73 area = area * 1.e6 |
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74 ;--------------------------------------------------- |
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75 ; read data: model, group 1 |
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76 |
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77 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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78 film = model_name1 + "_1980-2004_ANN_climo.nc" |
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79 fm = addfile (dirm+film,"r") |
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80 |
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81 NPP1 = fm->NPP |
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82 |
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83 leafc = fm->LEAFC |
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84 woodc = fm->WOODC |
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85 frootc = fm->FROOTC |
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86 VegC = leafc |
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87 VegC = leafc + woodc + frootc |
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88 |
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89 litterc = fm->LITTERC |
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90 cwdc = fm->CWDC |
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91 LiCwC = litterc |
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92 LiCwC = litterc + cwdc |
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93 |
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94 SoilC = fm->SOILC |
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95 |
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96 delete (fm) |
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97 ;--------------------------------------------------- |
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98 ; read data: model, group 2 |
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99 |
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100 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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101 film = model_name2 + "_1990-2004_ANN_climo.nc" |
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102 fm = addfile (dirm+film,"r") |
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103 |
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104 NPP2 = fm->NPP |
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105 NEE2 = fm->NEE |
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106 |
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107 ;--------------------------------------------------- |
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108 ; Units for these variables are: |
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109 |
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110 ;NPP1: g C/m^2/s |
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111 ;NPP2: g C/m^2/s |
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112 ;NEE2: g C/m^2/s |
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113 |
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114 ;VegC: g C/m^2 |
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115 ;LiCwC: g C/m^2 |
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116 ;SoilC: g C/m^2 |
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117 |
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118 nsec_per_year = 60*60*24*365 |
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119 |
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120 ; change unit to g C/m^2/year |
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121 |
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122 NPP1 = NPP1 * nsec_per_year |
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123 NPP2 = NPP2 * nsec_per_year |
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124 NEE2 = NEE2 * nsec_per_year |
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125 |
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126 ;--------------------------------------------------- |
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127 ; take into account landfrac |
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128 |
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129 area(:,:) = area(:,:) * landfrac(:,:) |
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130 NPP1(0,:,:) = NPP1(0,:,:) * landfrac(:,:) |
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131 VegC(0,:,:) = VegC(0,:,:) * landfrac(:,:) |
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132 LiCwC(0,:,:) = LiCwC(0,:,:) * landfrac(:,:) |
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133 SoilC(0,:,:) = SoilC(0,:,:) * landfrac(:,:) |
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134 NPP2(0,:,:) = NPP2(0,:,:) * landfrac(:,:) |
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135 NEE2(0,:,:) = NEE2(0,:,:) * landfrac(:,:) |
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136 |
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137 data_n = 7 |
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138 |
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139 ;******************************************************************* |
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140 ; Calculate "nice" bins for binning the data in equally spaced ranges |
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141 ;******************************************************************** |
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142 |
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143 ; using model biome class |
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144 nclass = nclass_mod |
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145 |
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146 range = fspan(0,nclass,nclass+1) |
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147 |
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148 ; print (range) |
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149 ; Use this range information to grab all the values in a |
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150 ; particular range, and then take an average. |
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151 |
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152 nx = dimsizes(range) - 1 |
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153 |
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154 ;============================== |
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155 ; put data into bins |
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156 ;============================== |
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157 |
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158 ; using observed biome class |
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159 ; base = ndtooned(classob) |
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160 ; using model biome class |
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161 base = ndtooned(classmod) |
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162 |
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163 ; output |
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164 |
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165 yvalues = new((/data_n,nx/),float) |
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166 count = new((/data_n,nx/),float) |
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167 |
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168 do n = 0,data_n-1 |
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169 |
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170 if(n.eq.0) then |
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171 data = ndtooned(area) |
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172 end if |
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173 |
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174 if(n.eq.1) then |
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175 data = ndtooned(NPP1) |
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176 end if |
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177 |
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178 if(n.eq.2) then |
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179 data = ndtooned(VegC) |
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180 end if |
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181 |
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182 if(n.eq.3) then |
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183 data = ndtooned(LiCwC) |
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184 end if |
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185 |
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186 if(n.eq.4) then |
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187 data = ndtooned(SoilC) |
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188 end if |
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189 |
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190 if(n.eq.5) then |
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191 data = ndtooned(NPP2) |
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192 end if |
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193 |
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194 if(n.eq.6) then |
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195 data = ndtooned(NEE2) |
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196 end if |
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197 |
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198 ; Loop through each range, using base. |
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199 |
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200 do i=0,nx-1 |
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201 if (i.ne.(nx-1)) then |
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202 ; print("") |
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203 ; print("In range ["+range(i)+","+range(i+1)+")") |
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204 idx = ind((base.ge.range(i)).and.(base.lt.range(i+1))) |
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205 else |
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206 ; print("") |
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207 ; print("In range ["+range(i)+",)") |
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208 idx = ind(base.ge.range(i)) |
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209 end if |
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210 |
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211 ; Calculate average |
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212 |
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213 if(.not.any(ismissing(idx))) then |
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214 if (n.eq.0) then |
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215 yvalues(n,i) = sum(data(idx)) |
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216 else |
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217 yvalues(n,i) = avg(data(idx)) |
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218 end if |
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219 |
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220 count(n,i) = dimsizes(idx) |
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221 else |
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222 yvalues(n,i) = yvalues@_FillValue |
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223 count(n,i) = 0 |
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224 end if |
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225 |
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226 ;############################################################# |
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227 ; using model biome class: |
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228 ; set the following 4 classes to _FillValue: |
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229 ; (3)Needleleaf Deciduous Boreal Tree, |
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230 ; (8)Broadleaf Deciduous Boreal Tree, |
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231 ; (9)Broadleaf Evergreen Shrub, |
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232 ; (16)Wheat |
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233 |
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234 if (i.eq.3 .or. i.eq.8 .or. i.eq.9 .or. i.eq.16) then |
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235 yvalues(n,i) = yvalues@_FillValue |
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236 count(n,i) = 0 |
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237 end if |
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238 ;############################################################# |
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239 |
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240 ; print(n + ": " + count + " points, avg = " + yvalues(n,i)) |
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241 |
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242 delete(idx) |
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243 end do |
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244 |
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245 delete(data) |
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246 end do |
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247 |
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248 delete (base) |
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249 delete (area) |
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250 delete (NPP1) |
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251 delete (VegC) |
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252 delete (LiCwC) |
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253 delete (SoilC) |
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254 delete (NPP2) |
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255 delete (NEE2) |
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256 |
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257 ;---------------------------------------------------------------- |
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258 ; data for table1 |
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259 |
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260 good = ind(.not.ismissing(yvalues(5,:)) .and. .not.ismissing(yvalues(1,:))) |
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261 ;print (good) |
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262 |
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263 w = yvalues(0,:) |
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264 area_g = w(good) |
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265 |
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266 w = yvalues(1,:) |
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267 NPP1_g = w(good) |
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268 |
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269 w = yvalues(2,:) |
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270 VegC_g = w(good) |
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271 |
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272 w = yvalues(3,:) |
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273 LiCwC_g = w(good) |
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274 |
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275 w = yvalues(4,:) |
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276 SoilC_g = w(good) |
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277 |
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278 w = yvalues(5,:) |
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279 NPP2_g = w(good) |
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280 |
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281 w = yvalues(6,:) |
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282 NEE2_g = w(good) |
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283 |
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284 n_biome = dimsizes(NPP1_g) |
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285 |
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286 NPP1_t = new((/n_biome/),float) |
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287 VegC_t = new((/n_biome/),float) |
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288 LiCwC_t = new((/n_biome/),float) |
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289 SoilC_t = new((/n_biome/),float) |
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290 NEE2_t = new((/n_biome/),float) |
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291 NPP_ratio = new((/n_biome/),float) |
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292 |
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293 NPP_ratio = NPP2_g/NPP1_g |
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294 |
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295 ;----------------------------------------------------------------- |
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296 ; data for table2 |
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297 |
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298 ; change unit from g to Pg (Peta gram) |
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299 factor_unit = 1.e-15 |
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300 |
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301 NPP1_t = NPP1_g * area_g * factor_unit |
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302 VegC_t = VegC_g * area_g * factor_unit |
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303 LiCwC_t = LiCwC_g * area_g * factor_unit |
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304 SoilC_t = SoilC_g * area_g * factor_unit |
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305 NEE2_t = NEE2_g * area_g * factor_unit |
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306 |
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307 print (NPP1_t) |
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308 |
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309 ;------------------------------------------------------------- |
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310 ; html table1 data |
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311 |
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312 ; column (not including header column) |
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313 |
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314 col_head = (/"Area (1.e12m2)" \ |
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315 ,"NPP (gC/m2/yr)" \ |
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316 ,"VegC (gC/m2)" \ |
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317 ,"Litter+CWD (gC/m2)" \ |
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318 ,"SoilC (gC/m2)" \ |
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319 ,"NPP ratio" \ |
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320 ,"NEE (gC/m2/yr)" \ |
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321 /) |
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322 |
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323 ncol = dimsizes(col_head) |
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324 |
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325 ; row (not including header row) |
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326 |
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327 ; using model biome class: |
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328 row_head = (/"Not Vegetated" \ |
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329 ,"Needleleaf Evergreen Temperate Tree" \ |
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330 ,"Needleleaf Evergreen Boreal Tree" \ |
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331 ; ,"Needleleaf Deciduous Boreal Tree" \ |
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332 ,"Broadleaf Evergreen Tropical Tree" \ |
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333 ,"Broadleaf Evergreen Temperate Tree" \ |
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334 ,"Broadleaf Deciduous Tropical Tree" \ |
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335 ,"Broadleaf Deciduous Temperate Tree" \ |
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336 ; ,"Broadleaf Deciduous Boreal Tree" \ |
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337 ; ,"Broadleaf Evergreen Shrub" \ |
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338 ,"Broadleaf Deciduous Temperate Shrub" \ |
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339 ,"Broadleaf Deciduous Boreal Shrub" \ |
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340 ,"C3 Arctic Grass" \ |
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341 ,"C3 Non-Arctic Grass" \ |
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342 ,"C4 Grass" \ |
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343 ,"Corn" \ |
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344 ; ,"Wheat" \ |
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345 ,"All Biome" \ |
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346 /) |
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347 nrow = dimsizes(row_head) |
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348 |
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349 ; arrays to be passed to table. |
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350 text4 = new ((/nrow, ncol/),string ) |
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351 |
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352 do i=0,nrow-2 |
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353 text4(i,0) = sprintf("%.1f",area_g(i)*1.e-12) |
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354 text4(i,1) = sprintf("%.1f",NPP1_g(i)) |
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355 text4(i,2) = sprintf("%.1f",VegC_g(i)) |
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356 text4(i,3) = sprintf("%.1f",LiCwC_g(i)) |
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357 text4(i,4) = sprintf("%.1f",SoilC_g(i)) |
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358 text4(i,5) = sprintf("%.1f",NPP_ratio(i)) |
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359 text4(i,6) = sprintf("%.1f",NEE2_g(i)) |
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360 end do |
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361 text4(nrow-1,0) = "-" |
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362 text4(nrow-1,1) = "-" |
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363 text4(nrow-1,2) = "-" |
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364 |
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365 ;------------------------------------------------------- |
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366 ; create html table1 |
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367 |
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368 header_text = "<H1>NEE and Carbon Stocks and Fluxes: Model "+model_name+"</H1>" |
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369 |
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370 header = (/"<HTML>" \ |
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371 ,"<HEAD>" \ |
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372 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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373 ,"</HEAD>" \ |
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374 ,header_text \ |
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375 /) |
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376 footer = "</HTML>" |
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377 |
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378 table_header = (/ \ |
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379 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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380 ,"<tr>" \ |
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381 ," <th bgcolor=DDDDDD >Biome Type</th>" \ |
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382 ," <th bgcolor=DDDDDD >"+col_head(0)+"</th>" \ |
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383 ," <th bgcolor=DDDDDD >"+col_head(1)+"</th>" \ |
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384 ," <th bgcolor=DDDDDD >"+col_head(2)+"</th>" \ |
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385 ," <th bgcolor=DDDDDD >"+col_head(3)+"</th>" \ |
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386 ," <th bgcolor=DDDDDD >"+col_head(4)+"</th>" \ |
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387 ," <th bgcolor=DDDDDD >"+col_head(5)+"</th>" \ |
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388 ," <th bgcolor=DDDDDD >"+col_head(6)+"</th>" \ |
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389 ,"</tr>" \ |
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390 /) |
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391 table_footer = "</table>" |
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392 row_header = "<tr>" |
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393 row_footer = "</tr>" |
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394 |
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395 lines = new(50000,string) |
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396 nline = 0 |
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397 |
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398 set_line(lines,nline,header) |
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399 set_line(lines,nline,table_header) |
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400 |
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401 ;---------------------------- |
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402 ;row of table |
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403 |
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404 do n = 0,nrow-2 |
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405 set_line(lines,nline,row_header) |
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406 |
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407 txt0 = row_head(n) |
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408 txt1 = text4(n,0) |
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409 txt2 = text4(n,1) |
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410 txt3 = text4(n,2) |
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411 txt4 = text4(n,3) |
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412 txt5 = text4(n,4) |
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413 txt6 = text4(n,5) |
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414 txt7 = text4(n,6) |
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415 |
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416 set_line(lines,nline,"<th>"+txt0+"</th>") |
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417 set_line(lines,nline,"<th>"+txt1+"</th>") |
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418 set_line(lines,nline,"<th>"+txt2+"</th>") |
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419 set_line(lines,nline,"<th>"+txt3+"</th>") |
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420 set_line(lines,nline,"<th>"+txt4+"</th>") |
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421 set_line(lines,nline,"<th>"+txt5+"</th>") |
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422 set_line(lines,nline,"<th>"+txt6+"</th>") |
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423 set_line(lines,nline,"<th>"+txt7+"</th>") |
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424 |
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425 set_line(lines,nline,row_footer) |
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426 end do |
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427 ;---------------------------- |
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428 set_line(lines,nline,table_footer) |
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429 set_line(lines,nline,footer) |
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430 |
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431 ; Now write to an HTML file. |
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432 |
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433 output_html = "table_carbon_sink1.html" |
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434 |
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435 idx = ind(.not.ismissing(lines)) |
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436 if(.not.any(ismissing(idx))) then |
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437 asciiwrite(output_html,lines(idx)) |
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438 else |
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439 print ("error?") |
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440 end if |
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441 |
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442 delete (col_head) |
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443 delete (row_head) |
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444 delete (text4) |
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445 |
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446 end |
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447 |