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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 ; using gsn_table for all |
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6 ; output: line plot for each site (4 fields) |
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7 ; table for M_score |
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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 begin |
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29 |
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30 plot_type = "ps" |
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31 plot_type_new = "png" |
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32 |
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33 ; for 6 fields, 12-monthly |
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34 nmon = 12 |
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35 nfield = 6 |
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36 |
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37 ;************************************************ |
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38 ; read model data |
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39 ;************************************************ |
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40 ; model = "cn" |
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41 model = "casa" |
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42 |
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43 model_name = "i01.10" + model |
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44 |
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45 dirm = "/fis/cgd/cseg/people/jeff/surface_data/" |
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46 film = "lnd_T42.nc" |
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47 fm = addfile(dirm+film,"r") |
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48 |
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49 xm = fm->lon |
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50 ym = fm->lat |
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51 ;------------------------------------------------ |
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52 nlat = dimsizes(ym) |
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53 nlon = dimsizes(xm) |
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54 |
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55 data_mod0 = new ((/nfield,nmon,nlat,nlon/),float) |
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56 |
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57 ; change to unit of observed (u mol/m2/s) |
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58 ; Model_units [=] gC/m2/s |
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59 ; 12. = molecular weight of C |
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60 ; u mol = 1e-6 mol |
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61 factor = 1e6 /12. |
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62 |
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63 ENERGY ="new" |
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64 |
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65 ;************************************************ |
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66 ; read data: observed |
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67 ;************************************************ |
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68 |
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69 station = (/"Duke_Forest_Hardwoods" \ |
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70 ,"Duke_Forest_Open_Field" \ |
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71 ,"Duke_Forest_Pine" \ |
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72 ,"HarvardForest" \ |
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73 /) |
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74 |
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75 year_ob = (/"2003-2005" \ |
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76 ,"2001-2005" \ |
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77 ,"2001-2005" \ |
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78 ,"1991-2004" \ |
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79 /) |
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80 |
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81 field = (/"CO2 Flux" \ |
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82 ,"Net Radiation" \ |
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83 ,"Latent Heat" \ |
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84 ,"Sensible Heat" \ |
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85 ,"GPP Flux" \ |
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86 ,"Respiration" \ |
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87 /) |
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88 |
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89 nstation = dimsizes(station) |
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90 |
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91 data_mod = new ((/nstation, nfield, nmon/),float) |
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92 data_ob = new ((/nstation, nfield, nmon/),float) |
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93 lat_ob = new ((/nstation/),float) |
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94 lon_ob = new ((/nstation/),float) |
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95 |
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96 diro_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/" |
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97 dirm_root = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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98 |
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99 do n = 0,nstation-1 |
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100 |
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101 ;------------------------------------------------- |
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102 ; get ob data |
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103 |
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104 diro = diro_root + station(n)+"/" |
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105 filo = year_ob(n)+"_L4_m.nc" |
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106 fo = addfile (diro+filo,"r") |
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107 |
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108 print (filo) |
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109 |
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110 lon_ob(n) = fo->lon |
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111 lat_ob(n) = fo->lat |
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112 |
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113 data = fo->NEE_or_fMDS |
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114 data_ob(n,0,:) = dim_avg(data(month|:,year|:)) |
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115 delete (data) |
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116 |
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117 data = fo->Rg_f |
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118 data_ob(n,1,:) = dim_avg(data(month|:,year|:)) |
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119 delete (data) |
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120 |
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121 data = fo->LE_f |
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122 data_ob(n,2,:) = dim_avg(data(month|:,year|:)) |
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123 delete (data) |
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124 |
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125 data = fo->H_f |
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126 data_ob(n,3,:) = dim_avg(data(month|:,year|:)) |
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127 delete (data) |
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128 |
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129 data = fo->GPP_or_MDS |
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130 data_ob(n,4,:) = dim_avg(data(month|:,year|:)) |
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131 delete (data) |
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132 |
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133 data = fo->Reco_or |
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134 data_ob(n,5,:) = dim_avg(data(month|:,year|:)) |
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135 delete (data) |
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136 |
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137 delete (fo) |
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138 ;--------------------------------------------------- |
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139 ; get model data |
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140 |
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141 film = model_name+"_"+year_ob(n)+"_MONS_climo.nc" |
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142 fm = addfile (dirm_root+film,"r") |
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143 |
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144 print (film) |
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145 |
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146 if (ENERGY .eq. "old") then |
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147 |
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148 data = fm->NEE |
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149 data_mod0(0,:,:,:) = data(:,:,:) * factor |
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150 delete (data) |
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151 |
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152 ; data = fm->LATENT |
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153 data1 = fm->FCEV |
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154 data2 = fm->FCTR |
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155 data3 = fm->FGEV |
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156 data_mod0(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:) |
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157 delete (data1) |
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158 delete (data2) |
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159 delete (data3) |
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160 |
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161 ; data = fm->SENSIBLE |
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162 data = fm->FSH |
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163 data_mod0(3,:,:,:) = data(:,:,:) |
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164 delete (data) |
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165 |
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166 ; data = fm->NETRAD |
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167 data1 = fm->FSA |
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168 data2 = fm->FIRA |
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169 data_mod0(1,:,:,:) = data1(:,:,:)-data2(:,:,:)-data_mod0(2,:,:,:)-data_mod0(3,:,:,:) |
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170 delete (data1) |
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171 delete (data2) |
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172 |
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173 else |
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174 |
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175 data = fm->NEE |
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176 data_mod0(0,:,:,:) = data(:,:,:) * factor |
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177 delete (data) |
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178 |
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179 data = fm->NETRAD |
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180 data_mod0(1,:,:,:) = data(:,:,:) |
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181 delete (data) |
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182 |
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183 data = fm->LATENT |
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184 data_mod0(2,:,:,:) = data(:,:,:) |
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185 delete (data) |
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186 |
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187 ; data = fm->SENSIBLE |
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188 data = fm->FSH |
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189 data_mod0(3,:,:,:) = data(:,:,:) |
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190 delete (data) |
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191 end if |
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192 |
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193 data = fm->GPP |
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194 data_mod0(4,:,:,:) = data(:,:,:) * factor |
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195 delete (data) |
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196 |
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197 if (model .eq. "cn") then |
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198 data = fm->ER |
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199 else |
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200 data1 = fm->AR |
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201 data2 = fm->HR |
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202 data = data1 + data2 |
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203 |
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204 delete (data1) |
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205 delete (data2) |
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206 end if |
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207 |
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208 data_mod0(5,:,:,:) = data(:,:,:) * factor |
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209 delete (data) |
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210 |
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211 delete (fm) |
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212 |
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213 ;************************************************************ |
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214 ; interpolate model data into observed station |
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215 ; note: model is 0-360E, 90S-90N |
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216 ;************************************************************ |
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217 |
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218 ; to be able to handle observation at (-89.98,-24.80) |
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219 ym(0) = -90. |
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220 |
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221 yy = linint2_points_Wrap(xm,ym,data_mod0,True,lon_ob(n),lat_ob(n),0) |
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222 |
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223 ; print (yy) |
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224 |
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225 data_mod(n,:,:) = yy(:,:,0) |
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226 |
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227 delete (yy) |
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228 |
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229 end do |
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230 ;************************************************************ |
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231 ; compute correlation coef and M score |
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232 ;************************************************************ |
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233 |
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234 score_max = 5. |
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235 |
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236 ccr = new ((/nstation, nfield/),float) |
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237 M_score = new ((/nstation, nfield/),float) |
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238 |
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239 do n=0,nstation-1 |
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240 do m=0,nfield-1 |
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241 ccr(n,m) = esccr(data_ob(n,m,:),data_mod(n,m,:),0) |
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242 bias = sum(abs(data_mod(n,m,:)-data_ob(n,m,:))/(abs(data_mod(n,m,:))+abs(data_ob(n,m,:)))) |
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243 M_score(n,m) = (1. -(bias/nmon)) * score_max |
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244 end do |
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245 end do |
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246 |
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247 M_co2 = avg(M_score(:,0)) |
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248 M_rad = avg(M_score(:,1)) |
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249 M_lh = avg(M_score(:,2)) |
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250 M_sh = avg(M_score(:,3)) |
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251 M_gpp = avg(M_score(:,4)) |
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252 M_er = avg(M_score(:,5)) |
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253 M_all = M_co2+ M_rad +M_lh + M_sh + M_gpp + M_er |
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254 |
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255 M_energy_co2 = sprintf("%.2f", M_co2) |
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256 M_energy_rad = sprintf("%.2f", M_rad) |
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257 M_energy_lh = sprintf("%.2f", M_lh ) |
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258 M_energy_sh = sprintf("%.2f", M_sh ) |
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259 M_energy_gpp = sprintf("%.2f", M_gpp) |
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260 M_energy_er = sprintf("%.2f", M_er ) |
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261 M_energy_all = sprintf("%.2f", M_all) |
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262 |
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263 ;******************************************************************* |
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264 ; for station line plot |
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265 ;******************************************************************* |
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266 |
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267 ; for x-axis in xyplot |
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268 mon = ispan(1,12,1) |
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269 mon@long_name = "month" |
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270 |
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271 res = True ; plot mods desired |
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272 res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker |
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273 res@xyLineColors = (/"blue","red"/) ; line color (ob,model) |
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274 ;------------------------------------------------------------------------- |
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275 ; Add a boxed legend using the more simple method |
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276 |
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277 res@pmLegendDisplayMode = "Always" |
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278 ; res@pmLegendWidthF = 0.1 |
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279 res@pmLegendWidthF = 0.08 |
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280 res@pmLegendHeightF = 0.06 |
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281 ; res@pmLegendOrthogonalPosF = -1.17 |
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282 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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283 res@pmLegendOrthogonalPosF = -0.30 ;(downward) |
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284 |
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285 ; res@pmLegendParallelPosF = 0.18 |
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286 res@pmLegendParallelPosF = 0.23 ;(rightward) |
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287 |
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288 ; res@lgPerimOn = False |
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289 res@lgLabelFontHeightF = 0.015 |
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290 res@xyExplicitLegendLabels = (/"observed",model_name/) |
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291 ;------------------------------------------------------------------- |
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292 ; for panel plot |
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293 res@gsnFrame = False ; Do not draw plot |
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294 res@gsnDraw = False ; Do not advance frame |
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295 |
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296 pres = True ; panel plot mods desired |
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297 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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298 ; indiv. plots in panel |
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299 pres@gsnMaximize = True ; fill the page |
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300 ;------------------------------------------------------------------- |
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301 |
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302 plot_data = new((/2,12/),float) |
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303 plot_data!0 = "case" |
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304 plot_data!1 = "month" |
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305 |
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306 do n = 0,nstation-1 |
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307 ;---------------------------- |
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308 ; for observed |
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309 |
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310 plot_name = station(n)+"_ob" |
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311 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
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312 res@tiMainString = title |
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313 |
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314 wks = gsn_open_wks (plot_type,plot_name) |
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315 plot=new(nfield,graphic) ; create graphic array |
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316 |
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317 plot_data(0,:) = (/data_ob (n,0,:)/) |
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318 plot_data@long_name = field(0) |
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319 plot(0)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 1 |
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320 |
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321 plot_data(0,:) = (/data_ob (n,1,:)/) |
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322 plot_data@long_name = field(1) |
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323 plot(1)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 2 |
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324 |
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325 plot_data(0,:) = (/data_ob (n,2,:)/) |
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326 plot_data@long_name = field(2) |
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327 plot(2)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 3 |
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328 |
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329 plot_data(0,:) = (/data_ob (n,3,:)/) |
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330 plot_data@long_name = field(3) |
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331 plot(3)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 4 |
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332 |
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333 plot_data(0,:) = (/data_ob (n,4,:)/) |
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334 plot_data@long_name = field(4) |
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335 plot(4)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 5 |
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336 |
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337 plot_data(0,:) = (/data_ob (n,5,:)/) |
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338 plot_data@long_name = field(5) |
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339 plot(5)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 6 |
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340 |
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341 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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342 |
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343 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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344 "rm "+plot_name+"."+plot_type) |
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345 |
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346 clear (wks) |
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347 delete (plot) |
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348 ;---------------------------- |
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349 ; for model_vs_ob |
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350 |
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351 plot_name = station(n)+"_model_vs_ob" |
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352 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
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353 res@tiMainString = title |
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354 |
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355 wks = gsn_open_wks (plot_type,plot_name) |
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356 plot=new(nfield,graphic) ; create graphic array |
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357 |
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358 plot_data(0,:) = (/data_ob (n,0,:)/) |
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359 plot_data(1,:) = (/data_mod(n,0,:)/) |
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360 plot_data@long_name = field(0) |
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361 plot(0)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 1 |
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362 |
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363 plot_data(0,:) = (/data_ob (n,1,:)/) |
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364 plot_data(1,:) = (/data_mod(n,1,:)/) |
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365 plot_data@long_name = field(1) |
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366 plot(1)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 2 |
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367 |
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368 plot_data(0,:) = (/data_ob (n,2,:)/) |
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369 plot_data(1,:) = (/data_mod(n,2,:)/) |
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370 plot_data@long_name = field(2) |
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371 plot(2)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 3 |
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372 |
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373 plot_data(0,:) = (/data_ob (n,3,:)/) |
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374 plot_data(1,:) = (/data_mod(n,3,:)/) |
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375 plot_data@long_name = field(3) |
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376 plot(3)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 4 |
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377 |
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378 |
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379 plot_data(0,:) = (/data_ob (n,4,:)/) |
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380 plot_data(1,:) = (/data_mod(n,4,:)/) |
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381 plot_data@long_name = field(4) |
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382 plot(4)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 5 |
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383 |
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384 |
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385 plot_data(0,:) = (/data_ob (n,5,:)/) |
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386 plot_data(1,:) = (/data_mod(n,5,:)/) |
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387 plot_data@long_name = field(5) |
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388 plot(5)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 6 |
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389 |
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390 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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391 |
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392 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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393 "rm "+plot_name+"."+plot_type) |
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394 |
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395 clear (wks) |
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396 delete (plot) |
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397 end do |
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398 |
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399 ;******************************************************************* |
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400 ; html table of site: observed |
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401 ;******************************************************************* |
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402 output_html = "line_ob.html" |
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403 |
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404 header = (/"<HTML>" \ |
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405 ,"<HEAD>" \ |
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406 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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407 ,"</HEAD>" \ |
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408 ,"<H1>Energy at Site: Observation</H1>" \ |
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409 /) |
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410 footer = "</HTML>" |
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411 |
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412 table_header = (/ \ |
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413 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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414 ,"<tr>" \ |
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415 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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416 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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417 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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418 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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419 ,"</tr>" \ |
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420 /) |
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421 table_footer = "</table>" |
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422 row_header = "<tr>" |
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423 row_footer = "</tr>" |
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424 |
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425 lines = new(50000,string) |
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426 nline = 0 |
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427 |
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428 set_line(lines,nline,header) |
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429 set_line(lines,nline,table_header) |
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430 ;----------------------------------------------- |
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431 ; row of table |
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432 |
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433 do n = 0,nstation-1 |
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434 set_line(lines,nline,row_header) |
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435 |
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436 txt0 = station(n) |
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437 txt1 = sprintf("%5.2f", lat_ob(n)) |
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438 txt2 = sprintf("%5.2f", lon_ob(n)) |
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439 txt3 = year_ob(n) |
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440 |
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441 set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>") |
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442 set_line(lines,nline,"<th>"+txt1+"</th>") |
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443 set_line(lines,nline,"<th>"+txt2+"</th>") |
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444 set_line(lines,nline,"<th>"+txt3+"</th>") |
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445 |
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446 set_line(lines,nline,row_footer) |
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447 end do |
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448 ;----------------------------------------------- |
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449 set_line(lines,nline,table_footer) |
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450 set_line(lines,nline,footer) |
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451 |
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452 ; Now write to an HTML file. |
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453 idx = ind(.not.ismissing(lines)) |
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454 if(.not.any(ismissing(idx))) then |
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455 asciiwrite(output_html,lines(idx)) |
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456 else |
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457 print ("error?") |
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458 end if |
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459 delete (idx) |
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460 |
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461 ;******************************************************************* |
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462 ; score and line table : model vs observed |
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463 ;******************************************************************* |
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464 output_html = "score+line_vs_ob.html" |
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465 |
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466 header = (/"<HTML>" \ |
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467 ,"<HEAD>" \ |
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468 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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469 ,"</HEAD>" \ |
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470 ,"<H1>Energy at Site: Model "+model_name+"</H1>" \ |
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471 /) |
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472 footer = "</HTML>" |
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473 |
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474 delete (table_header) |
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475 table_header = (/ \ |
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476 "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \ |
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477 ,"<tr>" \ |
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478 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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479 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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480 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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481 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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482 ," <th bgcolor=DDDDDD >CO2 Flux</th>" \ |
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483 ," <th bgcolor=DDDDDD >Net Radiation</th>" \ |
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484 ," <th bgcolor=DDDDDD >Latent Heat</th>" \ |
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485 ," <th bgcolor=DDDDDD >Sensible Heat</th>" \ |
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486 ," <th bgcolor=DDDDDD >GPP Glux</th>" \ |
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487 ," <th bgcolor=DDDDDD >Respiration</th>" \ |
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488 ," <th bgcolor=DDDDDD >Average</th>" \ |
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489 ,"</tr>" \ |
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490 /) |
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491 table_footer = "</table>" |
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492 row_header = "<tr>" |
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493 row_footer = "</tr>" |
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494 |
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495 lines = new(50000,string) |
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496 nline = 0 |
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497 |
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498 set_line(lines,nline,header) |
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499 set_line(lines,nline,table_header) |
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500 ;----------------------------------------------- |
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501 ; row of table |
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502 |
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503 do n = 0,nstation-1 |
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504 set_line(lines,nline,row_header) |
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505 |
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506 txt0 = station(n) |
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507 txt1 = sprintf("%5.2f", lat_ob(n)) |
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508 txt2 = sprintf("%5.2f", lon_ob(n)) |
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509 txt3 = year_ob(n) |
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510 txt4 = sprintf("%5.2f", M_score(n,0)) |
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511 txt5 = sprintf("%5.2f", M_score(n,1)) |
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512 txt6 = sprintf("%5.2f", M_score(n,2)) |
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513 txt7 = sprintf("%5.2f", M_score(n,3)) |
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514 txt8 = sprintf("%5.2f", M_score(n,4)) |
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515 txt9 = sprintf("%5.2f", M_score(n,5)) |
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516 txt10 = sprintf("%5.2f", avg(M_score(n,:))) |
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517 |
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518 set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>") |
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519 set_line(lines,nline,"<th>"+txt1+"</th>") |
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520 set_line(lines,nline,"<th>"+txt2+"</th>") |
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521 set_line(lines,nline,"<th>"+txt3+"</th>") |
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522 set_line(lines,nline,"<th>"+txt4+"</th>") |
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523 set_line(lines,nline,"<th>"+txt5+"</th>") |
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524 set_line(lines,nline,"<th>"+txt6+"</th>") |
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525 set_line(lines,nline,"<th>"+txt7+"</th>") |
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526 set_line(lines,nline,"<th>"+txt8+"</th>") |
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527 set_line(lines,nline,"<th>"+txt9+"</th>") |
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528 set_line(lines,nline,"<th>"+txt10+"</th>") |
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529 |
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530 set_line(lines,nline,row_footer) |
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531 end do |
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532 |
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533 ; last row, summary |
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534 set_line(lines,nline,row_header) |
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535 |
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536 txt0 = "All_"+sprintf("%.0f", nstation) |
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537 txt1 = "-" |
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538 txt2 = "-" |
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539 txt3 = "-" |
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540 txt4 = M_energy_co2 |
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541 txt5 = M_energy_rad |
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542 txt6 = M_energy_lh |
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543 txt7 = M_energy_sh |
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544 txt8 = M_energy_gpp |
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545 txt9 = M_energy_er |
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546 txt10 = M_energy_all |
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547 |
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548 set_line(lines,nline,"<th>"+txt0+"</th>") |
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549 set_line(lines,nline,"<th>"+txt1+"</th>") |
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550 set_line(lines,nline,"<th>"+txt2+"</th>") |
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551 set_line(lines,nline,"<th>"+txt3+"</th>") |
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552 set_line(lines,nline,"<th>"+txt4+"</th>") |
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553 set_line(lines,nline,"<th>"+txt5+"</th>") |
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554 set_line(lines,nline,"<th>"+txt6+"</th>") |
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555 set_line(lines,nline,"<th>"+txt7+"</th>") |
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556 set_line(lines,nline,"<th>"+txt8+"</th>") |
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557 set_line(lines,nline,"<th>"+txt9+"</th>") |
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558 set_line(lines,nline,"<th>"+txt10+"</th>") |
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559 |
|
560 set_line(lines,nline,row_footer) |
|
561 ;----------------------------------------------- |
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562 set_line(lines,nline,table_footer) |
|
563 set_line(lines,nline,footer) |
|
564 |
|
565 ; Now write to an HTML file. |
|
566 idx = ind(.not.ismissing(lines)) |
|
567 if(.not.any(ismissing(idx))) then |
|
568 asciiwrite(output_html,lines(idx)) |
|
569 else |
|
570 print ("error?") |
|
571 end if |
|
572 delete (idx) |
|
573 |
|
574 ;*************************************************************************** |
|
575 ; output plots |
|
576 ;*************************************************************************** |
|
577 output_dir = model_name+"/ameriflux" |
|
578 |
|
579 system("mv *.png *.html " + output_dir) |
|
580 ;*************************************************************************** |
|
581 end |