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1 ;******************************************************** |
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2 ; required command line input parameters: |
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3 ; ncl 'model_name="10cn" model_grid="T42" dirm="/.../ film="..."' 01.npp.ncl |
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4 ; |
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5 ; histogram normalized by rain and compute correleration |
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6 ;************************************************************** |
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7 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl.test" |
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8 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl.test" |
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9 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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10 ;************************************************************** |
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11 procedure set_line(lines:string,nline:integer,newlines:string) |
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12 begin |
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13 ; add line to ascci/html file |
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14 |
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15 nnewlines = dimsizes(newlines) |
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16 if(nline+nnewlines-1.ge.dimsizes(lines)) |
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17 print("set_line: bad index, not setting anything.") |
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18 return |
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19 end if |
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20 lines(nline:nline+nnewlines-1) = newlines |
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21 ; print ("lines = " + lines(nline:nline+nnewlines-1)) |
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22 nline = nline + nnewlines |
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23 return |
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24 end |
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25 ;************************************************************** |
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26 ; Main code. |
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27 begin |
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28 |
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29 nclass = 20 |
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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 ; read data: model |
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35 ;************************************************ |
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36 co2_i = 283.1878 |
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37 co2_f = 364.1252 |
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38 |
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39 model_grid = "T42" |
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40 |
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41 ;model_name_i = "i01.07cn" |
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42 ;model_name_f = "i01.10cn" |
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43 |
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44 model_name_i = "i01.07casa" |
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45 model_name_f = "i01.10casa" |
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46 |
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47 model_name = model_name_f |
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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_i = model_name_i + "_1990-2004_ANN_climo.nc" |
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51 film_f = model_name_f + "_1990-2004_ANN_climo.nc" |
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52 |
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53 fm_i = addfile (dirm+film_i,"r") |
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54 fm_f = addfile (dirm+film_f,"r") |
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55 |
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56 npp_i = fm_i->NPP |
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57 npp_f = fm_f->NPP |
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58 |
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59 ;************************************************ |
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60 ; read data: observed |
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61 ;************************************************ |
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62 |
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63 ob_name = "MODIS MOD 15A2 2000-2005" |
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64 |
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65 diro = "/fis/cgd/cseg/people/jeff/clamp_data/lai/ob/" |
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66 filo = "land_class_"+model_grid+".nc" |
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67 |
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68 fo = addfile(diro+filo,"r") |
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69 |
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70 classob = tofloat(fo->LAND_CLASS) |
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71 |
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72 ;******************************************************************* |
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73 ; Calculate "nice" bins for binning the data in equally spaced ranges |
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74 ;******************************************************************** |
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75 nclassn = nclass + 1 |
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76 range = fspan(0,nclassn-1,nclassn) |
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77 ; print (range) |
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78 |
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79 ; Use this range information to grab all the values in a |
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80 ; particular range, and then take an average. |
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81 |
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82 nr = dimsizes(range) |
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83 nx = nr-1 |
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84 xvalues = new((/2,nx/),float) |
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85 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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86 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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87 dx4 = dx/4 ; 1/4 of the range |
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88 xvalues(1,:) = xvalues(0,:) - dx/5. |
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89 |
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90 ; get data |
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91 |
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92 DATA11_1D = ndtooned(classob) |
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93 DATA12_1D = ndtooned(npp_i) |
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94 DATA22_1D = ndtooned(npp_f) |
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95 |
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96 yvalues = new((/2,nx/),float) |
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97 mn_yvalues = new((/2,nx/),float) |
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98 mx_yvalues = new((/2,nx/),float) |
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99 |
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100 do nd=0,1 |
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101 |
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102 ; See if we are doing model or observational data. |
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103 |
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104 if(nd.eq.0) then |
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105 data_ob = DATA11_1D |
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106 data_mod = DATA12_1D |
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107 else |
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108 data_ob = DATA11_1D |
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109 data_mod = DATA22_1D |
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110 end if |
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111 |
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112 ; Loop through each range and check for values. |
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113 |
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114 do i=0,nr-2 |
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115 if (i.ne.(nr-2)) then |
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116 ; print("") |
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117 ; print("In range ["+range(i)+","+range(i+1)+")") |
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118 idx = ind((data_ob.ge.range(i)).and.(data_ob.lt.range(i+1))) |
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119 else |
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120 ; print("") |
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121 ; print("In range ["+range(i)+",)") |
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122 idx = ind(data_ob.ge.range(i)) |
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123 end if |
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124 |
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125 ; Calculate average, and get min and max. |
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126 |
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127 if(.not.any(ismissing(idx))) then |
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128 yvalues(nd,i) = avg(data_mod(idx)) |
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129 mn_yvalues(nd,i) = min(data_mod(idx)) |
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130 mx_yvalues(nd,i) = max(data_mod(idx)) |
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131 count = dimsizes(idx) |
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132 else |
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133 count = 0 |
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134 yvalues(nd,i) = yvalues@_FillValue |
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135 mn_yvalues(nd,i) = yvalues@_FillValue |
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136 mx_yvalues(nd,i) = yvalues@_FillValue |
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137 end if |
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138 |
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139 ; print(nd + ": " + count + " points, avg = " + yvalues(nd,i)) |
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140 ; print("Min/Max: " + mn_yvalues(nd,i) + "/" + mx_yvalues(nd,i)) |
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141 |
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142 ; Clean up for next time in loop. |
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143 |
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144 delete(idx) |
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145 end do |
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146 delete(data_ob) |
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147 delete(data_mod) |
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148 end do |
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149 ;============================ |
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150 ;compute beta |
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151 ;============================ |
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152 |
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153 nsec_per_year = 60*60*24*365 |
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154 |
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155 u = yvalues(0,:) |
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156 v = yvalues(1,:) |
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157 |
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158 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
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159 uu = u(good)* nsec_per_year |
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160 vv = v(good)* nsec_per_year |
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161 |
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162 n_biome = dimsizes(uu) |
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163 |
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164 beta_biome = new((/n_biome/),float) |
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165 |
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166 beta_biome = ((vv/uu) - 1.)/log(co2_f/co2_i) |
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167 |
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168 beta_biome_avg = avg(beta_biome) |
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169 |
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170 print (beta_biome_avg) |
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171 ;******************************************************************* |
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172 ; for html table |
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173 ;******************************************************************* |
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174 |
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175 ; column (not including header column) |
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176 |
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177 col_head = (/"CO2_i","CO2_f","NPP_i","NPP_f","Beta"/) |
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178 |
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179 ncol = dimsizes(col_head) |
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180 |
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181 ; row (not including header row) |
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182 row_head = (/"Water Bodies" \ |
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183 ,"Evergreen Needleleaf Forests" \ |
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184 ,"Evergreen Broadleaf Forests" \ |
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185 ,"Deciduous Needleleaf Forest" \ |
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186 ,"Deciduous Broadleaf Forests" \ |
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187 ,"Mixed Forests" \ |
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188 ,"Closed Bushlands" \ |
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189 ,"Open Bushlands" \ |
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190 ,"Woody Savannas (S. Hem.)" \ |
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191 ,"Savannas (S. Hem.)" \ |
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192 ,"Grasslands" \ |
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193 ,"Permanent Wetlands" \ |
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194 ,"Croplands" \ |
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195 ,"Cropland/Natural Vegetation Mosaic" \ |
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196 ,"Permanent Snow and Ice" \ |
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197 ,"Barren or Sparsely Vegetated" \ |
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198 ,"Woody Savannas (N. Hem.)" \ |
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199 ,"Savannas (N. Hem.)" \ |
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200 ,"All Biome" \ |
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201 /) |
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202 nrow = dimsizes(row_head) |
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203 |
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204 ; arrays to be passed to table. |
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205 text4 = new ((/nrow, ncol/),string ) |
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206 |
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207 do i=0,nrow-2 |
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208 text4(i,0) = sprintf("%.2f",co2_i) |
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209 text4(i,1) = sprintf("%.2f",co2_f) |
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210 text4(i,2) = sprintf("%.2f",uu(i)) |
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211 text4(i,3) = sprintf("%.2f",vv(i)) |
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212 text4(i,4) = sprintf("%.2f",beta_biome(i)) |
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213 end do |
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214 text4(nrow-1,0) = "-" |
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215 text4(nrow-1,1) = "-" |
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216 text4(nrow-1,2) = "-" |
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217 text4(nrow-1,3) = "-" |
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218 text4(nrow-1,4) = sprintf("%.2f",beta_biome_avg) |
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219 |
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220 ;************************************************** |
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221 ; html table |
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222 ;************************************************** |
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223 output_html = "table_biome.html" |
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224 |
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225 header_text = "<H1>Beta Factor: Model "+model_name+"</H1>" |
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226 |
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227 header = (/"<HTML>" \ |
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228 ,"<HEAD>" \ |
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229 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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230 ,"</HEAD>" \ |
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231 ,header_text \ |
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232 /) |
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233 footer = "</HTML>" |
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234 |
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235 table_header = (/ \ |
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236 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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237 ,"<tr>" \ |
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238 ," <th bgcolor=DDDDDD >Biome Class</th>" \ |
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239 ," <th bgcolor=DDDDDD >CO2_i</th>" \ |
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240 ," <th bgcolor=DDDDDD >CO2_f</th>" \ |
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241 ," <th bgcolor=DDDDDD >NPP_i</th>" \ |
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242 ," <th bgcolor=DDDDDD >NPP_f</th>" \ |
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243 ," <th bgcolor=DDDDDD >Beta</th>" \ |
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244 ,"</tr>" \ |
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245 /) |
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246 table_footer = "</table>" |
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247 row_header = "<tr>" |
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248 row_footer = "</tr>" |
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249 |
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250 lines = new(50000,string) |
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251 nline = 0 |
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252 |
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253 set_line(lines,nline,header) |
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254 set_line(lines,nline,table_header) |
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255 ;----------------------------------------------- |
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256 ;row of table |
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257 |
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258 do n = 0,nrow-1 |
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259 set_line(lines,nline,row_header) |
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260 |
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261 txt1 = row_head(n) |
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262 txt2 = text4(n,0) |
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263 txt3 = text4(n,1) |
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264 txt4 = text4(n,2) |
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265 txt5 = text4(n,3) |
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266 txt6 = text4(n,4) |
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267 |
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268 set_line(lines,nline,"<th>"+txt1+"</th>") |
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269 set_line(lines,nline,"<th>"+txt2+"</th>") |
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270 set_line(lines,nline,"<th>"+txt3+"</th>") |
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271 set_line(lines,nline,"<th>"+txt4+"</th>") |
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272 set_line(lines,nline,"<th>"+txt5+"</th>") |
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273 set_line(lines,nline,"<th>"+txt6+"</th>") |
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274 |
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275 set_line(lines,nline,row_footer) |
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276 end do |
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277 ;----------------------------------------------- |
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278 set_line(lines,nline,table_footer) |
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279 set_line(lines,nline,footer) |
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280 |
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281 ; Now write to an HTML file. |
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282 idx = ind(.not.ismissing(lines)) |
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283 if(.not.any(ismissing(idx))) then |
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284 asciiwrite(output_html,lines(idx)) |
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285 else |
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286 print ("error?") |
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287 end if |
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288 |
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289 end |
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290 |