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1 ;************************************************************ |
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2 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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3 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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4 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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5 ;************************************************************ |
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6 procedure set_line(lines:string,nline:integer,newlines:string) |
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7 begin |
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8 ; add line to ascci/html file |
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9 |
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10 nnewlines = dimsizes(newlines) |
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11 if(nline+nnewlines-1.ge.dimsizes(lines)) |
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12 print("set_line: bad index, not setting anything.") |
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13 return |
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14 end if |
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15 lines(nline:nline+nnewlines-1) = newlines |
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16 ; print ("lines = " + lines(nline:nline+nnewlines-1)) |
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17 nline = nline + nnewlines |
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18 return |
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19 end |
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20 ;************************************************************* |
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21 begin |
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22 |
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23 plot_type = "ps" |
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24 plot_type_new = "png" |
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25 |
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26 ;------------------------------------------------------ |
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27 ; edit table.html of current model for movel1_vs_model2 |
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28 |
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29 if (isvar("compare")) then |
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30 html_name2 = compare+"/table.html" |
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31 html_new2 = html_name2 +".new" |
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32 end if |
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33 |
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34 ;------------------------------------------------------ |
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35 ; edit table.html for current model |
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36 |
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37 html_name = model_name+"/table.html" |
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38 html_new = html_name +".new" |
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39 |
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40 ;------------------------------------------------------ |
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41 |
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42 nmonth = 12 |
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43 |
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44 ; for nee, gpp, and ar |
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45 ; observed unit is gC/m2/day |
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46 ; model unit is gC/m2/s |
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47 ; to change to observed unit, |
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48 |
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49 factor_flux = 86400. |
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50 |
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51 ; for incident solar radiation, |
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52 ; observed Rg_f unit is MJ/m2/day |
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53 ; model (FSDS) unit is W/m2 |
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54 ; to change to model unit, |
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55 |
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56 factor_rad = 1.e6/86400. |
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57 |
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58 ;************************************************ |
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59 ; observed data info |
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60 ;************************************************ |
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61 |
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62 station = (/"ARM_Oklahoma" \ |
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63 ,"ARM_Oklahoma_burn" \ |
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64 ,"ARM_Oklahoma_control" \ |
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65 ,"Atqasuk" \ |
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66 ,"Audubon" \ |
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67 ,"AustinCary" \ |
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68 ,"Bartlett" \ |
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69 ,"Bondville" \ |
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70 ,"Brookings" \ |
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71 ,"Donaldson" \ |
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72 ,"Duke_Forest_Hardwoods" \ |
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73 ,"Duke_Forest_Open_Field" \ |
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74 ,"Duke_Forest_Pine" \ |
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75 ,"Fermi_Ag" \ |
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76 ,"Fermi_Prairie" \ |
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77 ,"Flagstaff_Managed" \ |
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78 ,"Flagstaff_Unmanaged" \ |
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79 ,"Flagstaff_Wildfire" \ |
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80 ,"FortPeck" \ |
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81 ,"FreemanRanch_mesquite" \ |
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82 ,"Goodwin_Creek" \ |
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83 ,"HarvardForest" \ |
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84 ,"HarvardForestHemlock" \ |
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85 ,"HowlandForestMain" \ |
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86 ,"HowlandForestWest" \ |
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87 ,"Ivotuk" \ |
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88 ,"KendallGrasslands" \ |
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89 ,"KennedySpaceCenterPine" \ |
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90 ,"KennedySpaceCenterScrub" \ |
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91 ,"LittleProspect" \ |
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92 ,"LostCreek" \ |
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93 ,"Mead-irrigated" \ |
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94 ,"Mead-irrigated-rotation" \ |
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95 ,"Mead-rainfed" \ |
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96 ,"Metolius_2nd_YoungPonderosaPine" \ |
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97 ,"MetoliusEyerly" \ |
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98 ,"MetoliusIntermediatePine" \ |
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99 ,"MetoliusOldPonderosaPine" \ |
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100 ,"MissouriOzark" \ |
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101 ,"Mize" \ |
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102 ,"MorganMonroe" \ |
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103 ,"NiwotRidge" \ |
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104 ,"NorthCarolina_cc" \ |
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105 ,"NorthCarolina_lp" \ |
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106 ,"ParkFalls" \ |
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107 ,"Rayonier" \ |
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108 ,"SantaRita" \ |
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109 ,"SkyOaks_Old" \ |
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110 ,"SkyOaks_PostFire" \ |
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111 ,"SkyOaks_Young" \ |
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112 ,"SylvaniaWilderness" \ |
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113 ,"Toledo" \ |
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114 ,"Tonzi" \ |
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115 ,"UCI_1850" \ |
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116 ,"UCI_1930" \ |
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117 ,"UCI_1964" \ |
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118 ,"UCI_1964wet" \ |
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119 ,"UCI_1981" \ |
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120 ,"UCI_1989" \ |
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121 ,"UCI_1998" \ |
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122 ,"UMBS" \ |
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123 ,"Vaira" \ |
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124 ,"WalkerBranch" \ |
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125 ,"WillowCreek" \ |
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126 ,"WindRiver" \ |
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127 ,"Wisconsin_ihw" \ |
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128 ,"Wisconsin_irp" \ |
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129 ,"Wisconsin_mrp" \ |
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130 ,"Wisconsin_myjp" \ |
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131 ,"Wisconsin_pb" \ |
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132 ,"Wisconsin_rpcc" \ |
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133 ,"Wisconsin_yhw" \ |
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134 ,"Wisconsin_yjp" \ |
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135 ,"Wisconsin_yrp" \ |
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136 /) |
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137 |
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138 field = (/"NEE Flux" \ |
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139 ,"Shortwave Incoming" \ |
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140 ,"Latent Heat" \ |
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141 ,"Sensible Heat" \ |
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142 ,"GPP Flux" \ |
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143 ,"Respiration" \ |
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144 /) |
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145 |
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146 field_unit = (/"gC/m2/day" \ |
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147 ,"W/m2" \ |
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148 ,"W/m2" \ |
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149 ,"W/m2" \ |
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150 ,"gC/m2/day" \ |
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151 ,"gC/m2/day" \ |
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152 /) |
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153 |
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154 nstation = dimsizes(station) |
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155 nfield = dimsizes(field) |
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156 |
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157 ;======================================================================== |
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158 ; get observed info: number of year, first/last year, lat, lon |
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159 ; and annual data |
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160 |
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161 dir_root = diro + "ameriflux/" |
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162 |
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163 year_station = new ((/nstation/),integer) ; number of year |
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164 year_ob = new ((/nstation/),string) ; observed year |
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165 year_ob_i = new ((/nstation/),integer) ; first year |
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166 year_ob_f = new ((/nstation/),integer) ; last year |
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167 lat_ob = new ((/nstation/),float) ; latitude |
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168 lon_ob = new ((/nstation/),float) ; longitude |
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169 |
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170 data_ob_ann = new ((/nfield, nmonth, nstation/),float) |
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171 |
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172 do n = 0, nstation-1 |
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173 |
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174 dir_f = dir_root + station(n)+"/" |
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175 fil_f = "timeseries_L4_m.nc" |
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176 fo = addfile (dir_f+fil_f,"r") |
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177 |
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178 lat_ob(n) = fo->lat |
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179 lon_ob(n) = fo->lon |
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180 |
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181 year = fo->year |
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182 |
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183 year_station(n) = dimsizes(year) |
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184 year_ob_i(n) = year(0) |
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185 year_ob_f(n) = year(year_station(n)-1) |
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186 year_ob(n) = year_ob_i(n) + "-" + year_ob_f(n) |
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187 |
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188 delete (year) |
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189 |
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190 data = fo->NEE_or_fMDS |
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191 data_ob_ann(0,:,n) = dim_avg(data(month|:,year|:)) |
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192 |
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193 data = fo->Rg_f |
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194 data_ob_ann(1,:,n) = dim_avg(data(month|:,year|:)) * factor_rad |
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195 |
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196 data = fo->LE_f |
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197 data_ob_ann(2,:,n) = dim_avg(data(month|:,year|:)) |
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198 |
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199 data = fo->H_f |
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200 data_ob_ann(3,:,n) = dim_avg(data(month|:,year|:)) |
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201 |
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202 data = fo->GPP_or_MDS |
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203 data_ob_ann(4,:,n) = dim_avg(data(month|:,year|:)) |
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204 |
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205 data = fo->Reco_or |
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206 data_ob_ann(5,:,n) = dim_avg(data(month|:,year|:)) |
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207 |
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208 delete (data) |
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209 delete (fo) |
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210 end do |
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211 |
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212 ;-------------------------------------------------------------- |
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213 ; find (# of year observed) >=4 and year_ob_i <= 2001 |
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214 |
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215 i_long_ob = ind(year_station .ge. 4 .and. year_ob_i .le. 2001) |
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216 |
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217 station_long = station(i_long_ob) |
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218 lat_ob_long = lat_ob(i_long_ob) |
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219 lon_ob_long = lat_ob(i_long_ob) |
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220 year_ob_long = year_ob(i_long_ob) |
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221 year_ob_i_long = year_ob_i(i_long_ob) |
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222 year_ob_f_long = year_ob_f(i_long_ob) |
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223 year_station_long = year_station(i_long_ob) |
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224 |
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225 nstation_long = dimsizes(station_long) |
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226 |
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227 ;========================================================= |
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228 ; get model data at observed lat-lon |
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229 |
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230 fm = addfile (dirm+film8,"r") |
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231 |
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232 xm = fm->lon |
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233 ym = fm->lat |
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234 date = fm->date |
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235 |
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236 date_dim = dimsizes(date) |
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237 nyear = date_dim(0) |
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238 |
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239 data_mod = new ((/nfield,nyear,nmonth,nstation/),float) |
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240 data_mod_ann = new ((/nfield,nmonth,nstation/),float) |
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241 data_mod_long = new ((/nfield,nyear,nmonth,nstation_long/),float) |
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242 |
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243 ; change to unit of observed (u mol/m2/s) |
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244 ; Model_units [=] gC/m2/s |
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245 ; 12. = molecular weight of C |
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246 ; u mol = 1e-6 mol |
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247 |
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248 factor = 1.e6 /12. |
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249 |
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250 ;------------------------------------------------------------ |
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251 ; interpolate model data into observed station |
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252 ; note: model is 0-360E, 90S-90N |
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253 |
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254 ; to be able to handle observation at (-89.98,-24.80) |
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255 ym(0) = -90. |
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256 ;------------------------------------------------------------ |
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257 |
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258 if (ENERGY .eq. "old") then |
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259 |
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260 data = fm->NEE |
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261 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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262 data_mod_ann(0,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor_flux |
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263 data_mod(0,:,:,:) = yy(:,:,:) * factor_flux |
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264 |
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265 ;;data = fm->NETRAD |
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266 ; data = fm->FSA |
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267 ; data1 = fm->FIRA |
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268 ; data = data - data1 |
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269 ; delete (data1) |
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270 |
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271 data = fm->FSDS |
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272 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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273 data_mod_ann(1,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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274 data_mod(1,:,:,:) = yy(:,:,:) |
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275 |
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276 |
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277 ; data = fm->LATENT |
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278 data = fm->FCEV |
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279 data1 = fm->FCTR |
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280 data2 = fm->FGEV |
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281 data = data + data1 + data2 |
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282 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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283 data_mod_ann(2,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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284 data_mod(2,:,:,:) = yy(:,:,:) |
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285 delete (data1) |
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286 delete (data2) |
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287 |
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288 ; data = fm->SENSIBLE |
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289 data = fm->FSH |
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290 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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291 data_mod_ann(3,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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292 data_mod(3,:,:,:) = yy(:,:,:) |
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293 |
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294 else |
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295 |
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296 data = fm->NEE |
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297 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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298 data_mod_ann(0,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor_flux |
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299 data_mod(0,:,:,:) = yy(:,:,:) * factor_flux |
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300 |
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301 ; data = fm->NETRAD |
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302 data = fm->FSDS |
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303 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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304 data_mod_ann(1,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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305 data_mod(1,:,:,:) = yy(:,:,:) |
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306 |
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307 data = fm->LATENT |
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308 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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309 data_mod_ann(2,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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310 data_mod(2,:,:,:) = yy(:,:,:) |
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311 |
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312 ; data = fm->SENSIBLE |
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313 data = fm->FSH |
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314 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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315 data_mod_ann(3,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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316 data_mod(3,:,:,:) = yy(:,:,:) |
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317 |
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318 end if |
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319 |
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320 data = fm->GPP |
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321 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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322 data_mod_ann(4,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor_flux |
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323 data_mod(4,:,:,:) = yy(:,:,:) * factor_flux |
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324 |
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325 data = fm->ER |
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326 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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327 data_mod_ann(5,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor_flux |
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328 data_mod(5,:,:,:) = yy(:,:,:) * factor_flux |
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329 |
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330 data_mod_long(:,:,:,:) = data_mod(:,:,:,i_long_ob) |
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331 |
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332 delete (data_mod) |
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333 delete (fm) |
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334 delete (data) |
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335 delete (yy) |
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336 |
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337 asciiwrite(station(0)+"_ob.txt", data_ob_ann(:,:,0)) |
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338 asciiwrite(station(0)+"_"+model_name+".txt", data_mod_ann(:,:,0)) |
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339 |
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340 asciiwrite(station(7)+"_ob.txt", data_ob_ann(:,:,7)) |
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341 asciiwrite(station(7)+"_"+model_name+".txt", data_mod_ann(:,:,7)) |
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342 |
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343 asciiwrite(station(21)+"_ob.txt", data_ob_ann(:,:,21)) |
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344 asciiwrite(station(21)+"_"+model_name+".txt", data_mod_ann(:,:,21)) |
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345 |
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346 asciiwrite(station(44)+"_ob.txt", data_ob_ann(:,:,44)) |
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347 asciiwrite(station(44)+"_"+model_name+".txt", data_mod_ann(:,:,44)) |
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348 |
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349 asciiwrite(station(50)+"_ob.txt", data_ob_ann(:,:,50)) |
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350 asciiwrite(station(50)+"_"+model_name+".txt", data_mod_ann(:,:,50)) |
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351 |
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352 asciiwrite(station(54)+"_ob.txt", data_ob_ann(:,:,54)) |
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353 asciiwrite(station(54)+"_"+model_name+".txt", data_mod_ann(:,:,54)) |
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354 |
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355 asciiwrite(station(62)+"_ob.txt", data_ob_ann(:,:,62)) |
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356 asciiwrite(station(62)+"_"+model_name+".txt", data_mod_ann(:,:,62)) |
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357 exit |
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358 |
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359 ;******************************************************************* |
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360 ; for station line plot |
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361 ;******************************************************************* |
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362 |
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363 ; for x-axis in xyplot |
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364 mon = ispan(1,12,1) |
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365 mon@long_name = "month" |
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366 |
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367 res = True ; plot mods desired |
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368 res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker |
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369 res@xyLineColors = (/"blue","red"/) ; line color (ob,model) |
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370 |
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371 res@tmXBFormat = "f" ; not to add trailing zeros |
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372 |
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373 ;------------------------------------------------------------------------- |
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374 ; Add a boxed legend using the more simple method |
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375 |
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376 res@pmLegendDisplayMode = "Always" |
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377 ; res@pmLegendWidthF = 0.1 |
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378 res@pmLegendWidthF = 0.08 |
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379 res@pmLegendHeightF = 0.06 |
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380 ; res@pmLegendOrthogonalPosF = -1.17 |
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381 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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382 res@pmLegendOrthogonalPosF = -0.30 ;(downward) |
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383 |
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384 ; res@pmLegendParallelPosF = 0.18 |
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385 res@pmLegendParallelPosF = 0.23 ;(rightward) |
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386 |
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387 ; res@lgPerimOn = False |
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388 res@lgLabelFontHeightF = 0.015 |
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389 res@xyExplicitLegendLabels = (/"observed",model_name/) |
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390 ;------------------------------------------------------------------- |
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391 ; for panel plot |
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392 res@gsnFrame = False ; Do not draw plot |
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393 res@gsnDraw = False ; Do not advance frame |
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394 |
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395 pres = True ; panel plot mods desired |
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396 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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397 ; indiv. plots in panel |
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398 pres@gsnMaximize = True ; fill the page |
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399 ;------------------------------------------------------------------- |
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400 |
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401 ;============================================================== |
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402 ; get ob data at each site with long observation |
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403 |
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404 do n = 0,nstation_long-1 |
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405 |
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406 ;################################################################## |
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407 ; hardwired: model up to year 2004 |
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408 ; observed up to year 2006 |
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409 |
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410 year_setback = 0 |
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411 |
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412 nyear = year_station_long(n) |
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413 |
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414 if (year_ob_f_long(n).eq. 2006) then |
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415 year_setback = 2006 -2004 |
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416 end if |
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417 if (year_ob_f_long(n).eq. 2005) then |
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418 year_setback = 2005 -2004 |
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419 end if |
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420 ;################################################################## |
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421 |
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422 ntime = (nyear - year_setback) * nmonth |
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423 |
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424 data_ob = new ((/nfield, nyear, nmonth/),float) |
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425 |
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426 dir_f = dir_root + station_long(n)+"/" |
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427 fil_f = "timeseries_L4_m.nc" |
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428 fo = addfile (dir_f+fil_f,"r") |
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429 |
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430 data_ob(0,:,:) = fo->NEE_or_fMDS |
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431 data_ob(1,:,:) = fo->Rg_f |
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432 data_ob(2,:,:) = fo->LE_f |
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433 data_ob(3,:,:) = fo->H_f |
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434 data_ob(4,:,:) = fo->GPP_or_MDS |
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435 data_ob(5,:,:) = fo->Reco_or |
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436 |
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437 data_ob(1,:,:) = data_ob(1,:,:) * factor_rad |
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438 |
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439 delete (fo) |
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440 |
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441 timeI = new((/ntime/),integer) |
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442 timeF = new((/ntime/),float) |
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443 timeI = ispan(1,ntime,1) |
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444 timeF = year_ob_i_long(n) + (timeI-1)/12. |
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445 timeF@long_name = "year" |
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446 |
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447 plot_data = new((/2,ntime/),float) |
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448 |
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449 ;---------------------------- |
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450 ; for model_vs_ob |
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451 |
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452 plot_name = station_long(n)+"_tseries_vs_ob" |
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453 title = station_long(n)+"("+sprintf("%5.2f",lat_ob_long(n))+","+sprintf("%5.2f",lon_ob_long(n))+")" |
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454 res@tiMainString = title |
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455 |
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456 wks = gsn_open_wks (plot_type,plot_name) |
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457 plot=new(nfield,graphic) ; create graphic array |
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458 |
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459 i_year_mod_i = year_ob_i_long(n) - 1990 |
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460 i_year_mod_f = i_year_mod_i + nyear - 1 - year_setback |
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461 |
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462 i_year_ob_f = nyear - year_setback - 1 |
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463 |
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464 ; print (nyear) |
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465 ; print (i_year_ob_f) |
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466 ; print (i_year_mod_i) |
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467 ; print (i_year_mod_f) |
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468 |
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469 do i = 0,nfield-1 |
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470 plot_data(0,:) = ndtooned(data_ob (i,0:i_year_ob_f,:)) |
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471 plot_data(1,:) = ndtooned(data_mod_long(i,i_year_mod_i:i_year_mod_f,:,n)) |
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472 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
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473 plot(i)=gsn_csm_xy(wks,timeF,plot_data,res) ; create plot |
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474 end do |
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475 |
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476 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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477 |
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478 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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479 "rm "+plot_name+"."+plot_type) |
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480 |
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481 clear (wks) |
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482 delete (plot) |
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483 |
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484 delete (data_ob) |
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485 delete (timeI) |
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486 delete (timeF) |
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487 delete (plot_data) |
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488 |
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489 end do |
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490 |
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491 ;################################################################### |
|
492 ; for the following tables, |
|
493 ; sort by latitude in decending order (N->S) |
|
494 |
|
495 isort = dim_pqsort(lat_ob_long,-1) |
|
496 |
|
497 station_sort = station_long(isort) |
|
498 year_ob_sort = year_ob_long(isort) |
|
499 lat_ob_sort = lat_ob_long(isort) |
|
500 lon_ob_sort = lon_ob_long(isort) |
|
501 |
|
502 ; print(isort) |
|
503 ; print(lat_ob_sort) |
|
504 |
|
505 ;******************************************************************* |
|
506 ; html table of site: observed |
|
507 ;******************************************************************* |
|
508 output_html = "tseries_vs_ob.html" |
|
509 |
|
510 header = (/"<HTML>" \ |
|
511 ,"<HEAD>" \ |
|
512 ,"<TITLE>CLAMP metrics</TITLE>" \ |
|
513 ,"</HEAD>" \ |
|
514 ,"<H1>Timeseries at Site: "+model_name+" vs Observation</H1>" \ |
|
515 /) |
|
516 footer = "</HTML>" |
|
517 |
|
518 table_header = (/ \ |
|
519 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
|
520 ,"<tr>" \ |
|
521 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
|
522 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
|
523 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
|
524 ," <th bgcolor=DDDDDD >Observed</th>" \ |
|
525 ,"</tr>" \ |
|
526 /) |
|
527 table_footer = "</table>" |
|
528 row_header = "<tr>" |
|
529 row_footer = "</tr>" |
|
530 |
|
531 lines = new(50000,string) |
|
532 nline = 0 |
|
533 |
|
534 set_line(lines,nline,header) |
|
535 set_line(lines,nline,table_header) |
|
536 ;----------------------------------------------- |
|
537 ; row of table |
|
538 |
|
539 do n = 0,nstation_long-1 |
|
540 |
|
541 set_line(lines,nline,row_header) |
|
542 |
|
543 txt0 = station_sort(n) |
|
544 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
|
545 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
|
546 txt3 = year_ob_sort(n) |
|
547 |
|
548 set_line(lines,nline,"<th><a href="+txt0+"_tseries_vs_ob.png>"+txt0+"</a></th>") |
|
549 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
550 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
551 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
552 |
|
553 set_line(lines,nline,row_footer) |
|
554 end do |
|
555 ;----------------------------------------------- |
|
556 set_line(lines,nline,table_footer) |
|
557 set_line(lines,nline,footer) |
|
558 |
|
559 ; Now write to an HTML file. |
|
560 idx = ind(.not.ismissing(lines)) |
|
561 if(.not.any(ismissing(idx))) then |
|
562 asciiwrite(output_html,lines(idx)) |
|
563 else |
|
564 print ("error?") |
|
565 end if |
|
566 delete (idx) |
|
567 |
|
568 delete (isort) |
|
569 delete (station_sort) |
|
570 delete (year_ob_sort) |
|
571 delete (lat_ob_sort) |
|
572 delete (lon_ob_sort) |
|
573 |
|
574 ;************************************************************ |
|
575 ; compute annual cycle correlation coef and M score |
|
576 ;************************************************************ |
|
577 |
|
578 score_max = 1. |
|
579 |
|
580 ccr = new ((/nstation, nfield/),float) |
|
581 M_score = new ((/nstation, nfield/),float) |
|
582 |
|
583 do n=0,nstation-1 |
|
584 do m=0,nfield-1 |
|
585 ccr(n,m) = esccr(data_ob_ann(m,:,n),data_mod_ann(m,:,n),0) |
|
586 bias = sum(abs(data_mod_ann(m,:,n)-data_ob_ann(m,:,n))/(abs(data_mod_ann(m,:,n))+abs(data_ob_ann(m,:,n)))) |
|
587 M_score(n,m) = (1. -(bias/nmonth)) * score_max |
|
588 end do |
|
589 end do |
|
590 |
|
591 M_nee = avg(M_score(:,0)) |
|
592 M_rad = avg(M_score(:,1)) |
|
593 M_lh = avg(M_score(:,2)) |
|
594 M_sh = avg(M_score(:,3)) |
|
595 M_gpp = avg(M_score(:,4)) |
|
596 M_er = avg(M_score(:,5)) |
|
597 M_all = M_nee+ M_rad +M_lh + M_sh + M_gpp + M_er |
|
598 |
|
599 M_ameriflux_nee = sprintf("%.2f", M_nee) |
|
600 M_ameriflux_rad = sprintf("%.2f", M_rad) |
|
601 M_ameriflux_lh = sprintf("%.2f", M_lh ) |
|
602 M_ameriflux_sh = sprintf("%.2f", M_sh ) |
|
603 M_ameriflux_gpp = sprintf("%.2f", M_gpp) |
|
604 M_ameriflux_er = sprintf("%.2f", M_er ) |
|
605 M_ameriflux_all = sprintf("%.2f", M_all) |
|
606 |
|
607 ;******************************************************************* |
|
608 ; for station line plot |
|
609 ;******************************************************************* |
|
610 |
|
611 ; for x-axis in xyplot |
|
612 mon = ispan(1,12,1) |
|
613 mon@long_name = "month" |
|
614 |
|
615 ;------------------------------------------------------------------- |
|
616 |
|
617 plot_data = new((/2,nmonth/),float) |
|
618 plot_data!0 = "case" |
|
619 plot_data!1 = "month" |
|
620 |
|
621 do n = 0,nstation-1 |
|
622 ;---------------------------- |
|
623 ; for observed |
|
624 |
|
625 plot_name = station(n)+"_ob" |
|
626 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
|
627 res@tiMainString = title |
|
628 |
|
629 wks = gsn_open_wks (plot_type,plot_name) |
|
630 plot=new(nfield,graphic) ; create graphic array |
|
631 |
|
632 do i = 0,nfield-1 |
|
633 plot_data(0,:) = (/data_ob_ann(i,:,n)/) |
|
634 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
|
635 plot(i)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot |
|
636 end do |
|
637 |
|
638 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
|
639 |
|
640 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
|
641 "rm "+plot_name+"."+plot_type) |
|
642 |
|
643 clear (wks) |
|
644 delete (plot) |
|
645 ;---------------------------- |
|
646 ; for model_vs_ob |
|
647 |
|
648 plot_name = station(n)+"_model_vs_ob" |
|
649 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
|
650 res@tiMainString = title |
|
651 |
|
652 wks = gsn_open_wks (plot_type,plot_name) |
|
653 plot=new(nfield,graphic) ; create graphic array |
|
654 |
|
655 do i = 0,nfield-1 |
|
656 plot_data(0,:) = (/data_ob_ann(i,:,n)/) |
|
657 plot_data(1,:) = (/data_mod_ann(i,:,n)/) |
|
658 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
|
659 plot(i)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot |
|
660 end do |
|
661 |
|
662 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
|
663 |
|
664 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
|
665 "rm "+plot_name+"."+plot_type) |
|
666 |
|
667 clear (wks) |
|
668 delete (plot) |
|
669 end do |
|
670 |
|
671 ;################################################################### |
|
672 ; for the following tables, |
|
673 ; sort by latitude in decending order (N->S) |
|
674 ; sort by lat in decending order (N->S) |
|
675 |
|
676 isort = dim_pqsort(lat_ob,-1) |
|
677 |
|
678 station_sort = station(isort) |
|
679 year_ob_sort = year_ob(isort) |
|
680 lat_ob_sort = lat_ob(isort) |
|
681 lon_ob_sort = lon_ob(isort) |
|
682 M_score_sort = M_score(isort,:) |
|
683 |
|
684 ; print(isort) |
|
685 ; print(lat_ob_sort) |
|
686 ;################################################################### |
|
687 ;******************************************************************* |
|
688 ; html table of site: observed |
|
689 ;******************************************************************* |
|
690 output_html = "line_ob.html" |
|
691 |
|
692 header = (/"<HTML>" \ |
|
693 ,"<HEAD>" \ |
|
694 ,"<TITLE>CLAMP metrics</TITLE>" \ |
|
695 ,"</HEAD>" \ |
|
696 ,"<H1>Energy at Site: Observation</H1>" \ |
|
697 /) |
|
698 footer = "</HTML>" |
|
699 |
|
700 table_header = (/ \ |
|
701 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
|
702 ,"<tr>" \ |
|
703 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
|
704 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
|
705 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
|
706 ," <th bgcolor=DDDDDD >Observed</th>" \ |
|
707 ,"</tr>" \ |
|
708 /) |
|
709 table_footer = "</table>" |
|
710 row_header = "<tr>" |
|
711 row_footer = "</tr>" |
|
712 |
|
713 lines = new(50000,string) |
|
714 nline = 0 |
|
715 |
|
716 set_line(lines,nline,header) |
|
717 set_line(lines,nline,table_header) |
|
718 ;----------------------------------------------- |
|
719 ; row of table |
|
720 |
|
721 do n = 0,nstation-1 |
|
722 set_line(lines,nline,row_header) |
|
723 |
|
724 txt0 = station_sort(n) |
|
725 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
|
726 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
|
727 txt3 = year_ob_sort(n) |
|
728 |
|
729 set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>") |
|
730 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
731 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
732 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
733 |
|
734 set_line(lines,nline,row_footer) |
|
735 end do |
|
736 ;----------------------------------------------- |
|
737 set_line(lines,nline,table_footer) |
|
738 set_line(lines,nline,footer) |
|
739 |
|
740 ; Now write to an HTML file. |
|
741 idx = ind(.not.ismissing(lines)) |
|
742 if(.not.any(ismissing(idx))) then |
|
743 asciiwrite(output_html,lines(idx)) |
|
744 else |
|
745 print ("error?") |
|
746 end if |
|
747 delete (idx) |
|
748 |
|
749 ;******************************************************************* |
|
750 ; score and line table : model vs observed |
|
751 ;******************************************************************* |
|
752 output_html = "score+line_vs_ob.html" |
|
753 |
|
754 header = (/"<HTML>" \ |
|
755 ,"<HEAD>" \ |
|
756 ,"<TITLE>CLAMP metrics</TITLE>" \ |
|
757 ,"</HEAD>" \ |
|
758 ,"<H1>Energy at Site: Model "+model_name+"</H1>" \ |
|
759 /) |
|
760 footer = "</HTML>" |
|
761 |
|
762 delete (table_header) |
|
763 table_header = (/ \ |
|
764 "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \ |
|
765 ,"<tr>" \ |
|
766 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
|
767 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
|
768 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
|
769 ," <th bgcolor=DDDDDD >Observed</th>" \ |
|
770 ," <th bgcolor=DDDDDD >NEE Flux</th>" \ |
|
771 ," <th bgcolor=DDDDDD >Shortwave <br> Incoming</th>" \ |
|
772 ," <th bgcolor=DDDDDD >Latent Heat</th>" \ |
|
773 ," <th bgcolor=DDDDDD >Sensible Heat</th>" \ |
|
774 ," <th bgcolor=DDDDDD >GPP Flux</th>" \ |
|
775 ," <th bgcolor=DDDDDD >Respiration</th>" \ |
|
776 ," <th bgcolor=DDDDDD >Average</th>" \ |
|
777 ,"</tr>" \ |
|
778 /) |
|
779 table_footer = "</table>" |
|
780 row_header = "<tr>" |
|
781 row_footer = "</tr>" |
|
782 |
|
783 lines = new(50000,string) |
|
784 nline = 0 |
|
785 |
|
786 set_line(lines,nline,header) |
|
787 set_line(lines,nline,table_header) |
|
788 ;----------------------------------------------- |
|
789 ; row of table |
|
790 |
|
791 do n = 0,nstation-1 |
|
792 set_line(lines,nline,row_header) |
|
793 |
|
794 txt0 = station_sort(n) |
|
795 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
|
796 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
|
797 txt3 = year_ob_sort(n) |
|
798 txt4 = sprintf("%5.2f", M_score_sort(n,0)) |
|
799 txt5 = sprintf("%5.2f", M_score_sort(n,1)) |
|
800 txt6 = sprintf("%5.2f", M_score_sort(n,2)) |
|
801 txt7 = sprintf("%5.2f", M_score_sort(n,3)) |
|
802 txt8 = sprintf("%5.2f", M_score_sort(n,4)) |
|
803 txt9 = sprintf("%5.2f", M_score_sort(n,5)) |
|
804 txt10 = sprintf("%5.2f", avg(M_score_sort(n,:))) |
|
805 |
|
806 set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>") |
|
807 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
808 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
809 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
810 set_line(lines,nline,"<th>"+txt4+"</th>") |
|
811 set_line(lines,nline,"<th>"+txt5+"</th>") |
|
812 set_line(lines,nline,"<th>"+txt6+"</th>") |
|
813 set_line(lines,nline,"<th>"+txt7+"</th>") |
|
814 set_line(lines,nline,"<th>"+txt8+"</th>") |
|
815 set_line(lines,nline,"<th>"+txt9+"</th>") |
|
816 set_line(lines,nline,"<th>"+txt10+"</th>") |
|
817 |
|
818 set_line(lines,nline,row_footer) |
|
819 end do |
|
820 |
|
821 ; last row, summary |
|
822 set_line(lines,nline,row_header) |
|
823 |
|
824 txt0 = "All_"+sprintf("%.0f", nstation) |
|
825 txt1 = "-" |
|
826 txt2 = "-" |
|
827 txt3 = "-" |
|
828 txt4 = M_ameriflux_nee |
|
829 txt5 = M_ameriflux_rad |
|
830 txt6 = M_ameriflux_lh |
|
831 txt7 = M_ameriflux_sh |
|
832 txt8 = M_ameriflux_gpp |
|
833 txt9 = M_ameriflux_er |
|
834 txt10 = M_ameriflux_all |
|
835 |
|
836 set_line(lines,nline,"<th>"+txt0+"</th>") |
|
837 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
838 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
839 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
840 set_line(lines,nline,"<th>"+txt4+"</th>") |
|
841 set_line(lines,nline,"<th>"+txt5+"</th>") |
|
842 set_line(lines,nline,"<th>"+txt6+"</th>") |
|
843 set_line(lines,nline,"<th>"+txt7+"</th>") |
|
844 set_line(lines,nline,"<th>"+txt8+"</th>") |
|
845 set_line(lines,nline,"<th>"+txt9+"</th>") |
|
846 set_line(lines,nline,"<th>"+txt10+"</th>") |
|
847 |
|
848 set_line(lines,nline,row_footer) |
|
849 ;----------------------------------------------- |
|
850 set_line(lines,nline,table_footer) |
|
851 set_line(lines,nline,footer) |
|
852 |
|
853 ; Now write to an HTML file. |
|
854 idx = ind(.not.ismissing(lines)) |
|
855 if(.not.any(ismissing(idx))) then |
|
856 asciiwrite(output_html,lines(idx)) |
|
857 else |
|
858 print ("error?") |
|
859 end if |
|
860 delete (idx) |
|
861 |
|
862 ;************************************************************************************** |
|
863 ; update score |
|
864 ;************************************************************************************** |
|
865 |
|
866 if (isvar("compare")) then |
|
867 system("sed 1,/M_ameriflux_nee/s//"+M_ameriflux_nee+"/ "+html_name2+" > "+html_new2+";"+ \ |
|
868 "mv -f "+html_new2+" "+html_name2+";"+ \ |
|
869 "sed 1,/M_ameriflux_rad/s//"+M_ameriflux_rad+"/ "+html_name2+" > "+html_new2+";"+ \ |
|
870 "mv -f "+html_new2+" "+html_name2+";"+ \ |
|
871 "sed 1,/M_ameriflux_lh/s//"+M_ameriflux_lh+"/ "+html_name2+" > "+html_new2+";"+ \ |
|
872 "mv -f "+html_new2+" "+html_name2+";"+ \ |
|
873 "sed 1,/M_ameriflux_sh/s//"+M_ameriflux_sh+"/ "+html_name2+" > "+html_new2+";"+ \ |
|
874 "mv -f "+html_new2+" "+html_name2+";"+ \ |
|
875 "sed 1,/M_ameriflux_gpp/s//"+M_ameriflux_gpp+"/ "+html_name2+" > "+html_new2+";"+ \ |
|
876 "mv -f "+html_new2+" "+html_name2+";"+ \ |
|
877 "sed 1,/M_ameriflux_er/s//"+M_ameriflux_er+"/ "+html_name2+" > "+html_new2+";"+ \ |
|
878 "mv -f "+html_new2+" "+html_name2) |
|
879 end if |
|
880 |
|
881 system("sed s#M_ameriflux_nee#"+M_ameriflux_nee+"# "+html_name+" > "+html_new+";"+ \ |
|
882 "mv -f "+html_new+" "+html_name+";"+ \ |
|
883 "sed s#M_ameriflux_rad#"+M_ameriflux_rad+"# "+html_name+" > "+html_new+";"+ \ |
|
884 "mv -f "+html_new+" "+html_name+";"+ \ |
|
885 "sed s#M_ameriflux_lh#"+M_ameriflux_lh+"# "+html_name+" > "+html_new+";"+ \ |
|
886 "mv -f "+html_new+" "+html_name+";"+ \ |
|
887 "sed s#M_ameriflux_sh#"+M_ameriflux_sh+"# "+html_name+" > "+html_new+";"+ \ |
|
888 "mv -f "+html_new+" "+html_name+";"+ \ |
|
889 "sed s#M_ameriflux_gpp#"+M_ameriflux_gpp+"# "+html_name+" > "+html_new+";"+ \ |
|
890 "mv -f "+html_new+" "+html_name+";"+ \ |
|
891 "sed s#M_ameriflux_er#"+M_ameriflux_er+"# "+html_name+" > "+html_new+";"+ \ |
|
892 "mv -f "+html_new+" "+html_name) |
|
893 |
|
894 ;*************************************************************************** |
|
895 ; add total score and write to file |
|
896 ;*************************************************************************** |
|
897 M_total = M_ameriflux_all |
|
898 |
|
899 asciiwrite("M_save.ameriflux", M_total) |
|
900 |
|
901 ;*************************************************************************** |
|
902 ; output plot and html |
|
903 ;*************************************************************************** |
|
904 output_dir = model_name+"/ameriflux" |
|
905 |
|
906 system("mv *.png *.html " + output_dir) |
|
907 ;*************************************************************************** |
|
908 |
|
909 end |
|
910 |