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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 plot_type = "ps" |
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30 plot_type_new = "png" |
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31 |
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32 ;************************************************ |
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33 ; read data: model |
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34 ;************************************************ |
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35 |
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36 model_grid = "T42" |
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37 |
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38 model_name = "i01.06cn" |
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39 ;model_name = "i01.06casa" |
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40 |
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41 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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42 film = model_name + "_1980-2004_ANN_climo.nc" |
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43 |
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44 fm = addfile (dirm+film,"r") |
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45 |
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46 xm = fm->lon |
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47 ym = fm->lat |
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48 |
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49 pool = fm->WOODC |
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50 flux = fm->WOODC_ALLOC |
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51 |
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52 ;Units for these variables are: |
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53 ;pool: g C/m^2 |
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54 ;flux: g C/m^2/s |
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55 |
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56 nsec_per_year = 60*60*24*365 |
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57 |
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58 flux = flux * nsec_per_year |
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59 |
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60 ;************************************************ |
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61 ; read data: observed-biome |
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62 ;************************************************ |
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63 |
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64 ob_name = "MODIS MOD 15A2 2000-2005" |
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65 |
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66 diro = "/fis/cgd/cseg/people/jeff/clamp_data/lai/ob/" |
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67 filo = "land_class_"+model_grid+".nc" |
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68 |
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69 fo = addfile(diro+filo,"r") |
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70 |
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71 classob = tofloat(fo->LAND_CLASS) |
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72 |
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73 nclass = 20 |
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74 |
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75 ;******************************************************************* |
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76 ; Calculate "nice" bins for binning the data in equally spaced ranges |
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77 ;******************************************************************** |
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78 |
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79 nclassn = nclass + 1 |
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80 range = fspan(0,nclassn-1,nclassn) |
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81 ; print (range) |
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82 |
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83 ; Use this range information to grab all the values in a |
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84 ; particular range, and then take an average. |
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85 |
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86 nr = dimsizes(range) |
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87 nx = nr-1 |
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88 xvalues = new((/2,nx/),float) |
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89 xvalues(0,:) = range(0:nr-2) + (range(1:)-range(0:nr-2))/2. |
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90 dx = xvalues(0,1) - xvalues(0,0) ; range width |
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91 dx4 = dx/4 ; 1/4 of the range |
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92 xvalues(1,:) = xvalues(0,:) - dx/5. |
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93 |
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94 ; get data |
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95 |
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96 base_1D = ndtooned(classob) |
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97 data1_1D = ndtooned(pool) |
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98 data2_1D = ndtooned(flux) |
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99 |
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100 ; output |
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101 |
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102 yvalues = new((/2,nx/),float) |
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103 |
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104 do nd=0,1 |
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105 |
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106 ; See if we are doing data1 (nd=0) or data2 (nd=1). |
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107 |
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108 base = base_1D |
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109 |
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110 if(nd.eq.0) then |
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111 data = data1_1D |
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112 else |
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113 data = data2_1D |
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114 end if |
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115 |
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116 ; Loop through each range, using base. |
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117 |
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118 do i=0,nr-2 |
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119 if (i.ne.(nr-2)) then |
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120 ; print("") |
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121 ; print("In range ["+range(i)+","+range(i+1)+")") |
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122 idx = ind((base.ge.range(i)).and.(base.lt.range(i+1))) |
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123 else |
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124 ; print("") |
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125 ; print("In range ["+range(i)+",)") |
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126 idx = ind(base.ge.range(i)) |
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127 end if |
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128 |
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129 ; Calculate average |
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130 |
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131 if(.not.any(ismissing(idx))) then |
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132 yvalues(nd,i) = avg(data(idx)) |
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133 count = dimsizes(idx) |
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134 else |
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135 yvalues(nd,i) = yvalues@_FillValue |
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136 count = 0 |
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137 end if |
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138 |
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139 ;############################################################# |
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140 ; set the following 4 classes to _FillValue: |
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141 ; Water Bodies(0), Urban and Build-Up(13), |
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142 ; Permenant Snow and Ice(15), Unclassified(17) |
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143 |
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144 if (i.eq.0 .or. i.eq.13 .or. i.eq.15 .or. i.eq.17) then |
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145 yvalues(nd,i) = yvalues@_FillValue |
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146 count = 0 |
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147 end if |
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148 ;############################################################# |
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149 |
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150 ; print(nd + ": " + count + " points, avg = " + yvalues(nd,i)) |
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151 |
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152 ; Clean up for next time in loop. |
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153 |
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154 delete(idx) |
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155 end do |
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156 |
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157 delete(data) |
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158 end do |
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159 |
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160 ;============================ |
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161 ;compute turnover time |
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162 ;============================ |
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163 |
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164 u = yvalues(0,:) |
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165 v = yvalues(1,:) |
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166 |
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167 good = ind(.not.ismissing(u) .and. .not.ismissing(v)) |
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168 |
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169 uu = u(good) |
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170 vv = v(good) |
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171 |
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172 n_biome = dimsizes(uu) |
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173 |
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174 t_biome = new((/n_biome/),float) |
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175 |
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176 t_biome = uu/vv |
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177 |
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178 t_biome_avg = avg(t_biome) |
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179 |
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180 ;print (t_biome) |
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181 ;print (t_biome_avg) |
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182 |
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183 ;=========================== |
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184 ; for html table - biome |
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185 ;=========================== |
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186 |
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187 output_html = "table_biome.html" |
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188 |
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189 ; column (not including header column) |
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190 |
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191 col_head = (/"WOOD Flux","WOOD Pool","WOOD Turnover Time"/) |
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192 |
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193 ncol = dimsizes(col_head) |
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194 |
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195 ; row (not including header row) |
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196 ; 4 classes removed: Water Bodies, Urban and Build-Up, |
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197 ; Unclassified, Permanent Snow and Ice |
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198 |
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199 row_head = (/"Evergreen Needleleaf Forests" \ |
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200 ,"Evergreen Broadleaf Forests" \ |
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201 ,"Deciduous Needleleaf Forest" \ |
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202 ,"Deciduous Broadleaf Forests" \ |
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203 ,"Mixed Forests" \ |
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204 ,"Closed Bushlands" \ |
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205 ,"Open Bushlands" \ |
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206 ,"Woody Savannas (S. Hem.)" \ |
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207 ,"Savannas (S. Hem.)" \ |
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208 ,"Grasslands" \ |
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209 ,"Permanent Wetlands" \ |
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210 ,"Croplands" \ |
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211 ,"Cropland/Natural Vegetation Mosaic" \ |
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212 ,"Barren or Sparsely Vegetated" \ |
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213 ,"Woody Savannas (N. Hem.)" \ |
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214 ,"Savannas (N. Hem.)" \ |
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215 ,"All Biome" \ |
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216 /) |
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217 nrow = dimsizes(row_head) |
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218 |
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219 ; arrays to be passed to table. |
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220 text4 = new ((/nrow, ncol/),string ) |
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221 |
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222 do i=0,nrow-2 |
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223 text4(i,0) = sprintf("%.1f",vv(i)) |
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224 text4(i,1) = sprintf("%.1f",uu(i)) |
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225 text4(i,2) = sprintf("%.1f",t_biome(i)) |
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226 end do |
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227 text4(nrow-1,0) = "-" |
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228 text4(nrow-1,1) = "-" |
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229 text4(nrow-1,2) = sprintf("%.1f",t_biome_avg) |
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230 |
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231 ;************************************************** |
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232 ; html table |
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233 ;************************************************** |
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234 |
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235 header_text = "<H1>WOOD Turnover Time: Model "+model_name+"</H1>" |
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236 |
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237 header = (/"<HTML>" \ |
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238 ,"<HEAD>" \ |
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239 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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240 ,"</HEAD>" \ |
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241 ,header_text \ |
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242 /) |
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243 footer = "</HTML>" |
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244 |
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245 table_header = (/ \ |
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246 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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247 ,"<tr>" \ |
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248 ," <th bgcolor=DDDDDD >Biome Class</th>" \ |
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249 ," <th bgcolor=DDDDDD >"+col_head(0)+"</th>" \ |
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250 ," <th bgcolor=DDDDDD >"+col_head(1)+"</th>" \ |
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251 ," <th bgcolor=DDDDDD >"+col_head(2)+"</th>" \ |
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252 ,"</tr>" \ |
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253 /) |
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254 table_footer = "</table>" |
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255 row_header = "<tr>" |
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256 row_footer = "</tr>" |
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257 |
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258 lines = new(50000,string) |
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259 nline = 0 |
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260 |
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261 set_line(lines,nline,header) |
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262 set_line(lines,nline,table_header) |
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263 ;----------------------------------------------- |
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264 ;row of table |
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265 |
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266 do n = 0,nrow-1 |
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267 set_line(lines,nline,row_header) |
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268 |
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269 txt1 = row_head(n) |
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270 txt2 = text4(n,0) |
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271 txt3 = text4(n,1) |
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272 txt4 = text4(n,2) |
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273 |
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274 set_line(lines,nline,"<th>"+txt1+"</th>") |
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275 set_line(lines,nline,"<th>"+txt2+"</th>") |
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276 set_line(lines,nline,"<th>"+txt3+"</th>") |
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277 set_line(lines,nline,"<th>"+txt4+"</th>") |
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278 |
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279 set_line(lines,nline,row_footer) |
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280 end do |
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281 ;----------------------------------------------- |
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282 set_line(lines,nline,table_footer) |
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283 set_line(lines,nline,footer) |
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284 |
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285 ; Now write to an HTML file. |
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286 idx = ind(.not.ismissing(lines)) |
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287 if(.not.any(ismissing(idx))) then |
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288 asciiwrite(output_html,lines(idx)) |
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289 else |
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290 print ("error?") |
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291 end if |
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292 |
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293 end |
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294 |