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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 ;components |
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35 |
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36 component = (/"Leaf","Wood","Fine_Root","Litter","Coarse_Woody_Debris","Soil"/) |
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37 n_comp = dimsizes(component) |
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38 |
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39 field_pool = (/"LEAFC","WOODC","FROOTC","LITTERC","CWDC","SOILC"/) |
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40 field_flux = (/"LEAFC_ALLOC","WOODC_ALLOC","FROOTC_ALLOC","LITTERC_LOSS","CWDC_LOSS","SOILC_HR"/) |
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41 |
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42 ;************************************************ |
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43 ; model name and grid |
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44 ;************************************************ |
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45 |
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46 model_grid = "T42" |
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47 |
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48 model_name = "i01.06cn" |
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49 ;model_name = "i01.06casa" |
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50 |
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51 ;************************************************ |
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52 ; read data: ob |
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53 ;************************************************ |
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54 ;------------------------------------------------ |
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55 ; read biome data: observed |
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56 |
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57 ; biome_name_ob = "MODIS LandCover" |
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58 |
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59 ; diro = "/fis/cgd/cseg/people/jeff/clamp_data/lai/ob/" |
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60 ; filo = "land_class_"+model_grid+".nc" |
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61 |
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62 ; fo = addfile(diro+filo,"r") |
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63 |
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64 ; classob = tofloat(fo->LAND_CLASS) |
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65 |
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66 ; delete (fo) |
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67 |
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68 ; observed data has 20 land-type classes |
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69 |
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70 ; nclass_ob = 20 |
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71 |
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72 ;--------------------------------------------------- |
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73 ; read biome data: model |
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74 |
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75 biome_name_mod = "Model PFT Class" |
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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 = "class_pft_"+model_grid+".nc" |
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79 |
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80 fm = addfile(dirm+film,"r") |
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81 |
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82 classmod = fm->CLASS_PFT |
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83 |
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84 delete (fm) |
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85 |
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86 ; model data has 17 land-type classes |
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87 |
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88 nclass_mod = 17 |
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89 |
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90 ;--------------------------------------------------- |
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91 ; read data: model, each component |
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92 |
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93 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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94 film = model_name + "_1980-2004_ANN_climo.nc" |
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95 |
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96 fm = addfile (dirm+film,"r") |
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97 |
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98 do k = 0,n_comp-1 |
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99 |
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100 pool = fm->$field_pool(k)$ |
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101 flux = fm->$field_flux(k)$ |
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102 |
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103 ;Units for these variables are: |
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104 ;pool: g C/m^2 |
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105 ;flux: g C/m^2/s |
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106 |
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107 nsec_per_year = 60*60*24*365 |
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108 |
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109 flux = flux * nsec_per_year |
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110 |
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111 ; casa only |
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112 ; all the plant pools (leaf, wood, and fine root) and |
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113 ; coarse woody debris (cwd) and litter pools for |
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114 ; CASA need to be divided by 1200. The soil flux |
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115 ; and turnover time are fine and do not need to be adjusted. |
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116 |
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117 ; if (k .ne. n_comp-1) then |
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118 ; flux = flux/1200. |
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119 ; end if |
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120 |
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121 ;******************************************************************* |
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122 ; Calculate "nice" bins for binning the data in equally spaced ranges |
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123 ;******************************************************************** |
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124 |
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125 ; using observed biome class |
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126 ; nclass = nclass_ob |
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127 ; using model biome class |
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128 nclass = nclass_mod |
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129 |
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130 nclassn = nclass + 1 |
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131 range = fspan(0,nclassn-1,nclassn) |
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132 ; print (range) |
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133 |
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134 ; Use this range information to grab all the values in a |
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135 ; particular range, and then take an average. |
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136 |
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137 nr = dimsizes(range) |
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138 nx = nr-1 |
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139 xvalues = new((/2,nx/),float) |
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140 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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141 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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142 dx4 = dx/4 ; 1/4 of the range |
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143 xvalues(1,:) = xvalues(0,:) - dx/5. |
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144 |
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145 ;============================== |
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146 ; put data into bins |
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147 ;============================== |
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148 |
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149 ; using observed biome class |
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150 ; base_1D = ndtooned(classob) |
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151 ; using model biome class |
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152 base_1D = ndtooned(classmod) |
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153 |
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154 data1_1D = ndtooned(pool) |
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155 data2_1D = ndtooned(flux) |
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156 |
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157 ; output |
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158 |
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159 yvalues = new((/2,nx/),float) |
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160 count = new((/2,nx/),float) |
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161 |
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162 do nd=0,1 |
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163 |
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164 ; See if we are doing data1 (nd=0) or data2 (nd=1). |
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165 |
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166 base = base_1D |
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167 |
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168 if(nd.eq.0) then |
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169 data = data1_1D |
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170 else |
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171 data = data2_1D |
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172 end if |
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173 |
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174 ; Loop through each range, using base. |
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175 |
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176 do i=0,nr-2 |
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177 if (i.ne.(nr-2)) then |
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178 ; print("") |
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179 ; print("In range ["+range(i)+","+range(i+1)+")") |
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180 idx = ind((base.ge.range(i)).and.(base.lt.range(i+1))) |
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181 else |
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182 ; print("") |
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183 ; print("In range ["+range(i)+",)") |
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184 idx = ind(base.ge.range(i)) |
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185 end if |
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186 |
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187 ; Calculate average |
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188 |
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189 if(.not.any(ismissing(idx))) then |
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190 yvalues(nd,i) = avg(data(idx)) |
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191 count(nd,i) = dimsizes(idx) |
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192 else |
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193 yvalues(nd,i) = yvalues@_FillValue |
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194 count(nd,i) = 0 |
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195 end if |
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196 |
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197 ;############################################################# |
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198 ;using observed biome class: |
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199 ; set the following 4 classes to _FillValue: |
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200 ; Water Bodies(0), Urban and Build-Up(13), |
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201 ; Permenant Snow and Ice(15), Unclassified(17) |
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202 |
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203 ; if (i.eq.0 .or. i.eq.13 .or. i.eq.15 .or. i.eq.17) then |
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204 ; yvalues(nd,i) = yvalues@_FillValue |
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205 ; count(nd,i) = 0 |
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206 ; end if |
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207 ;############################################################# |
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208 |
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209 ;############################################################# |
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210 ;using model biome class: |
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211 ; set the following 4 classes to _FillValue: |
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212 ; (3)Needleleaf Deciduous Boreal Tree, |
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213 ; (8)Broadleaf Deciduous Boreal Tree, |
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214 ; (9)Broadleaf Evergreen Shrub, |
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215 ; (16)Wheat |
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216 |
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217 if (i.eq.3 .or. i.eq.8 .or. i.eq.9 .or. i.eq.16) then |
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218 yvalues(nd,i) = yvalues@_FillValue |
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219 count(nd,i) = 0 |
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220 end if |
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221 ;############################################################# |
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222 |
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223 ; print(nd + ": " + count + " points, avg = " + yvalues(nd,i)) |
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224 |
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225 ; Clean up for next time in loop. |
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226 |
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227 delete(idx) |
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228 end do |
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229 |
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230 delete(data) |
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231 end do |
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232 |
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233 ;============================ |
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234 ;compute turnover time |
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235 ;============================ |
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236 |
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237 u = yvalues(0,:) |
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238 v = yvalues(1,:) |
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239 u_count = count(0,:) |
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240 v_count = count(1,:) |
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241 |
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242 ;print (dimsizes(u)) |
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243 ;print (dimsizes(v)) |
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244 |
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245 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
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246 |
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247 ;print (good) |
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248 |
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249 uu = u(good) |
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250 vv = v(good) |
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251 |
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252 ;print (dimsizes(uu)) |
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253 ;print (dimsizes(vv)) |
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254 |
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255 uu_count = u_count(good) |
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256 vv_count = v_count(good) |
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257 |
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258 n_biome = dimsizes(uu) |
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259 t_biome = new((/n_biome/),float) |
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260 |
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261 t_biome = uu/vv |
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262 |
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263 ;t_biome_avg = avg(t_biome) |
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264 t_biome_avg = sum(uu*uu_count)/sum(vv*vv_count) |
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265 |
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266 ;print (t_biome) |
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267 ;print (t_biome_avg) |
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268 |
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269 ;=========================== |
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270 ; for html table - biome |
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271 ;=========================== |
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272 |
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273 output_html = "table_"+component(k)+".html" |
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274 |
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275 ; column (not including header column) |
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276 |
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277 col_head = (/component(k)+" Flux",component(k)+" Pool",component(k)+" Turnover Time"/) |
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278 |
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279 ncol = dimsizes(col_head) |
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280 |
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281 ; row (not including header row) |
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282 |
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283 ;---------------------------------------------------- |
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284 ; using observed biome class: |
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285 ; row_head = (/"Evergreen Needleleaf Forests" \ |
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286 ; ,"Evergreen Broadleaf Forests" \ |
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287 ; ,"Deciduous Needleleaf Forest" \ |
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288 ; ,"Deciduous Broadleaf Forests" \ |
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289 ; ,"Mixed Forests" \ |
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290 ; ,"Closed Bushlands" \ |
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291 ; ,"Open Bushlands" \ |
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292 ; ,"Woody Savannas (S. Hem.)" \ |
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293 ; ,"Savannas (S. Hem.)" \ |
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294 ; ,"Grasslands" \ |
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295 ; ,"Permanent Wetlands" \ |
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296 ; ,"Croplands" \ |
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297 ; ,"Cropland/Natural Vegetation Mosaic" \ |
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298 ; ,"Barren or Sparsely Vegetated" \ |
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299 ; ,"Woody Savannas (N. Hem.)" \ |
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300 ; ,"Savannas (N. Hem.)" \ |
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301 ; ,"All Biome" \ |
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302 ; /) |
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303 |
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304 ;---------------------------------------------------- |
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305 ; using model biome class: |
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306 row_head = (/"Not Vegetated" \ |
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307 ,"Needleleaf Evergreen Temperate Tree" \ |
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308 ,"Needleleaf Evergreen Boreal Tree" \ |
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309 ; ,"Needleleaf Deciduous Boreal Tree" \ |
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310 ,"Broadleaf Evergreen Tropical Tree" \ |
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311 ,"Broadleaf Evergreen Temperate Tree" \ |
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312 ,"Broadleaf Deciduous Tropical Tree" \ |
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313 ,"Broadleaf Deciduous Temperate Tree" \ |
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314 ; ,"Broadleaf Deciduous Boreal Tree" \ |
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315 ; ,"Broadleaf Evergreen Shrub" \ |
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316 ,"Broadleaf Deciduous Temperate Shrub" \ |
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317 ,"Broadleaf Deciduous Boreal Shrub" \ |
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318 ,"C3 Arctic Grass" \ |
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319 ,"C3 Non-Arctic Grass" \ |
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320 ,"C4 Grass" \ |
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321 ,"Corn" \ |
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322 ; ,"Wheat" \ |
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323 ,"All Biome" \ |
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324 /) |
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325 nrow = dimsizes(row_head) |
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326 |
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327 ; arrays to be passed to table. |
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328 text4 = new ((/nrow, ncol/),string ) |
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329 |
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330 do i=0,nrow-2 |
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331 text4(i,0) = sprintf("%.1f",vv(i)) |
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332 text4(i,1) = sprintf("%.1f",uu(i)) |
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333 text4(i,2) = sprintf("%.2f",t_biome(i)) |
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334 end do |
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335 text4(nrow-1,0) = "-" |
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336 text4(nrow-1,1) = "-" |
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337 text4(nrow-1,2) = sprintf("%.2f",t_biome_avg) |
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338 |
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339 ;************************************************** |
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340 ; html table |
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341 ;************************************************** |
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342 |
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343 header_text = "<H1>"+component(k)+" Turnover Time: Model "+model_name+"</H1>" |
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344 |
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345 header = (/"<HTML>" \ |
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346 ,"<HEAD>" \ |
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347 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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348 ,"</HEAD>" \ |
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349 ,header_text \ |
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350 /) |
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351 footer = "</HTML>" |
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352 |
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353 table_header = (/ \ |
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354 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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355 ,"<tr>" \ |
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356 ," <th bgcolor=DDDDDD >Biome Class</th>" \ |
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357 ," <th bgcolor=DDDDDD >"+col_head(0)+"</th>" \ |
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358 ," <th bgcolor=DDDDDD >"+col_head(1)+"</th>" \ |
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359 ," <th bgcolor=DDDDDD >"+col_head(2)+"</th>" \ |
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360 ,"</tr>" \ |
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361 /) |
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362 table_footer = "</table>" |
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363 row_header = "<tr>" |
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364 row_footer = "</tr>" |
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365 |
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366 lines = new(50000,string) |
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367 nline = 0 |
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368 |
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369 set_line(lines,nline,header) |
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370 set_line(lines,nline,table_header) |
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371 ;----------------------------------------------- |
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372 ;row of table |
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373 |
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374 do n = 0,nrow-1 |
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375 set_line(lines,nline,row_header) |
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376 |
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377 txt1 = row_head(n) |
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378 txt2 = text4(n,0) |
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379 txt3 = text4(n,1) |
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380 txt4 = text4(n,2) |
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381 |
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382 set_line(lines,nline,"<th>"+txt1+"</th>") |
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383 set_line(lines,nline,"<th>"+txt2+"</th>") |
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384 set_line(lines,nline,"<th>"+txt3+"</th>") |
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385 set_line(lines,nline,"<th>"+txt4+"</th>") |
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386 |
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387 set_line(lines,nline,row_footer) |
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388 end do |
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389 ;----------------------------------------------- |
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390 set_line(lines,nline,table_footer) |
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391 set_line(lines,nline,footer) |
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392 |
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393 ; Now write to an HTML file. |
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394 idx = ind(.not.ismissing(lines)) |
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395 if(.not.any(ismissing(idx))) then |
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396 asciiwrite(output_html,lines(idx)) |
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397 else |
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398 print ("error?") |
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399 end if |
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400 |
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401 delete (idx) |
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402 end do |
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403 end |
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404 |