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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 = (/"ARM_Oklahoma" \ |
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70 ,"ARM_Oklahoma_burn" \ |
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71 ,"ARM_Oklahoma_control" \ |
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72 ,"Atqasuk" \ |
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73 ,"Audubon" \ |
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74 ,"AustinCary" \ |
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75 ,"Bartlett" \ |
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76 ,"Bondville" \ |
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77 ,"Brookings" \ |
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78 ,"Donaldson" \ |
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79 ,"Duke_Forest_Hardwoods" \ |
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80 ,"Duke_Forest_Open_Field" \ |
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81 ,"Duke_Forest_Pine" \ |
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82 ,"Fermi_Ag" \ |
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83 ,"Fermi_Prairie" \ |
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84 ,"Flagstaff_Managed" \ |
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85 ,"Flagstaff_Unmanaged" \ |
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86 ,"Flagstaff_Wildfire" \ |
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87 ,"FortPeck" \ |
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88 ,"FreemanRanch_mesquite" \ |
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89 ,"Goodwin_Creek" \ |
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90 ,"HarvardForest" \ |
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91 ,"HarvardForestHemlock" \ |
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92 ,"HowlandForestMain" \ |
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93 ,"HowlandForestWest" \ |
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94 ,"Ivotuk" \ |
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95 ,"KendallGrasslands" \ |
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96 ,"KennedySpaceCenterPine" \ |
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97 ,"KennedySpaceCenterScrub" \ |
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98 ,"LittleProspect" \ |
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99 ,"LostCreek" \ |
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100 ,"Mead-irrigated" \ |
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101 ,"Mead-irrigated-rotation" \ |
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102 ,"Mead-rainfed" \ |
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103 ,"Metolius_2nd_YoungPonderosaPine" \ |
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104 ,"MetoliusEyerly" \ |
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105 ,"MetoliusIntermediatePine" \ |
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106 ,"MetoliusOldPonderosaPine" \ |
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107 ,"MissouriOzark" \ |
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108 ,"Mize" \ |
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109 ,"MorganMonroe" \ |
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110 ,"NiwotRidge" \ |
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111 ,"NorthCarolina_cc" \ |
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112 ,"NorthCarolina_lp" \ |
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113 ,"ParkFalls" \ |
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114 ,"Rayonier" \ |
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115 ,"SantaRita" \ |
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116 ,"SkyOaks_Old" \ |
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117 ,"SkyOaks_PostFire" \ |
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118 ,"SkyOaks_Young" \ |
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119 ,"SylvaniaWilderness" \ |
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120 ,"Toledo" \ |
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121 ,"Tonzi" \ |
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122 ,"UCI_1850" \ |
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123 ,"UCI_1930" \ |
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124 ,"UCI_1964" \ |
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125 ,"UCI_1964wet" \ |
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126 ,"UCI_1981" \ |
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127 ,"UCI_1989" \ |
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128 ,"UCI_1998" \ |
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129 ,"UMBS" \ |
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130 ,"Vaira" \ |
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131 ,"WalkerBranch" \ |
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132 ,"WillowCreek" \ |
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133 ,"WindRiver" \ |
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134 ,"Wisconsin_ihw" \ |
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135 ,"Wisconsin_irp" \ |
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136 ,"Wisconsin_mrp" \ |
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137 ,"Wisconsin_myjp" \ |
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138 ,"Wisconsin_pb" \ |
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139 ,"Wisconsin_rpcc" \ |
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140 ,"Wisconsin_yhw" \ |
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141 ,"Wisconsin_yjp" \ |
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142 ,"Wisconsin_yrp" \ |
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143 /) |
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144 |
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145 year_ob = (/"2003-2006" \ |
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146 ,"2005-2006" \ |
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147 ,"2005-2006" \ |
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148 ,"1999-2006" \ |
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149 ,"2002-2006" \ |
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150 ,"2000-2005" \ |
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151 ,"2004-2005" \ |
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152 ,"1996-2006" \ |
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153 ,"2004-2006" \ |
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154 ,"1999-2004" \ |
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155 ,"2003-2005" \ |
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156 ,"2001-2005" \ |
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157 ,"2001-2005" \ |
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158 ,"2005-2006" \ |
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159 ,"2004-2006" \ |
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160 ,"2005-2006" \ |
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161 ,"2005-2006" \ |
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162 ,"2005-2006" \ |
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163 ,"2000-2006" \ |
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164 ,"2004-2006" \ |
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165 ,"2002-2006" \ |
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166 ,"1991-2004" \ |
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167 ,"2004-2004" \ |
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168 ,"1996-2004" \ |
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169 ,"1999-2004" \ |
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170 ,"2003-2006" \ |
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171 ,"2004-2006" \ |
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172 ,"2002-2002" \ |
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173 ,"2000-2006" \ |
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174 ,"2002-2005" \ |
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175 ,"2001-2005" \ |
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176 ,"2001-2005" \ |
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177 ,"2001-2005" \ |
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178 ,"2001-2005" \ |
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179 ,"2004-2005" \ |
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180 ,"2004-2005" \ |
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181 ,"2003-2005" \ |
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182 ,"1996-2000" \ |
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183 ,"2004-2006" \ |
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184 ,"1998-2004" \ |
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185 ,"1999-2005" \ |
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186 ,"1999-2003" \ |
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187 ,"2005-2006" \ |
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188 ,"2005-2006" \ |
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189 ,"1996-2003" \ |
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190 ,"1998-1998" \ |
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191 ,"2004-2006" \ |
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192 ,"1997-2006" \ |
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193 ,"2004-2006" \ |
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194 ,"1997-2006" \ |
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195 ,"2002-2006" \ |
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196 ,"2004-2005" \ |
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197 ,"2001-2006" \ |
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198 ,"2004-2005" \ |
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199 ,"2001-2005" \ |
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200 ,"2001-2005" \ |
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201 ,"2002-2004" \ |
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202 ,"2001-2005" \ |
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203 ,"2001-2005" \ |
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204 ,"2002-2005" \ |
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205 ,"1999-2003" \ |
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206 ,"2001-2006" \ |
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207 ,"1995-1999" \ |
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208 ,"1999-2005" \ |
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209 ,"1999-2004" \ |
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210 ,"2003-2003" \ |
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211 ,"2003-2003" \ |
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212 ,"2002-2005" \ |
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213 ,"2004-2004" \ |
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214 ,"2002-2002" \ |
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215 ,"2005-2005" \ |
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216 ,"2002-2002" \ |
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217 ,"2004-2005" \ |
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218 ,"2002-2002" \ |
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219 /) |
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220 |
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221 field = (/"CO2 Flux" \ |
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222 ,"Net Radiation" \ |
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223 ,"Latent Heat" \ |
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224 ,"Sensible Heat" \ |
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225 ,"GPP Flux" \ |
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226 ,"Respiration" \ |
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227 /) |
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228 |
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229 nstation = dimsizes(station) |
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230 |
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231 data_mod = new ((/nstation, nfield, nmon/),float) |
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232 data_ob = new ((/nstation, nfield, nmon/),float) |
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233 lat_ob = new ((/nstation/),float) |
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234 lon_ob = new ((/nstation/),float) |
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235 |
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236 diro_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/data/" |
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237 dirm_root = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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238 |
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239 do n = 0,nstation-1 |
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240 |
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241 ;------------------------------------------------- |
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242 ; get ob data |
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243 |
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244 diro = diro_root + station(n)+"/" |
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245 filo = year_ob(n)+"_L4_m.nc" |
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246 fo = addfile (diro+filo,"r") |
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247 |
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248 print (filo) |
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249 |
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250 lon_ob(n) = fo->lon |
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251 lat_ob(n) = fo->lat |
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252 |
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253 data = fo->NEE_or_fMDS |
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254 data_ob(n,0,:) = dim_avg(data(month|:,year|:)) |
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255 delete (data) |
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256 |
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257 data = fo->Rg_f |
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258 data_ob(n,1,:) = dim_avg(data(month|:,year|:)) |
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259 delete (data) |
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260 |
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261 data = fo->LE_f |
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262 data_ob(n,2,:) = dim_avg(data(month|:,year|:)) |
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263 delete (data) |
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264 |
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265 data = fo->H_f |
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266 data_ob(n,3,:) = dim_avg(data(month|:,year|:)) |
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267 delete (data) |
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268 |
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269 data = fo->GPP_or_MDS |
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270 data_ob(n,4,:) = dim_avg(data(month|:,year|:)) |
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271 delete (data) |
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272 |
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273 data = fo->Reco_or |
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274 data_ob(n,5,:) = dim_avg(data(month|:,year|:)) |
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275 delete (data) |
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276 |
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277 delete (fo) |
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278 ;--------------------------------------------------- |
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279 ; get model data |
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280 |
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281 ; film = model_name+"_"+ year_ob(n)+"_MONS_climo.nc" |
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282 film = model_name+"_"+"1990-2004"+"_MONS_climo.nc" |
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283 fm = addfile (dirm_root+film,"r") |
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284 |
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285 print (film) |
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286 |
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287 if (ENERGY .eq. "old") then |
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288 |
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289 data = fm->NEE |
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290 data_mod0(0,:,:,:) = data(:,:,:) * factor |
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291 delete (data) |
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292 |
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293 ; data = fm->LATENT |
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294 data1 = fm->FCEV |
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295 data2 = fm->FCTR |
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296 data3 = fm->FGEV |
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297 data_mod0(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:) |
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298 delete (data1) |
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299 delete (data2) |
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300 delete (data3) |
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301 |
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302 ; data = fm->SENSIBLE |
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303 data = fm->FSH |
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304 data_mod0(3,:,:,:) = data(:,:,:) |
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305 delete (data) |
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306 |
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307 ; data = fm->NETRAD |
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308 data1 = fm->FSA |
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309 data2 = fm->FIRA |
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310 data_mod0(1,:,:,:) = data1(:,:,:)-data2(:,:,:)-data_mod0(2,:,:,:)-data_mod0(3,:,:,:) |
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311 delete (data1) |
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312 delete (data2) |
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313 |
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314 else |
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315 |
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316 data = fm->NEE |
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317 data_mod0(0,:,:,:) = data(:,:,:) * factor |
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318 delete (data) |
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319 |
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320 data = fm->NETRAD |
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321 data_mod0(1,:,:,:) = data(:,:,:) |
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322 delete (data) |
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323 |
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324 data = fm->LATENT |
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325 data_mod0(2,:,:,:) = data(:,:,:) |
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326 delete (data) |
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327 |
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328 ; data = fm->SENSIBLE |
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329 data = fm->FSH |
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330 data_mod0(3,:,:,:) = data(:,:,:) |
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331 delete (data) |
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332 end if |
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333 |
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334 data = fm->GPP |
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335 data_mod0(4,:,:,:) = data(:,:,:) * factor |
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336 delete (data) |
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337 |
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338 if (model .eq. "cn") then |
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339 data = fm->ER |
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340 else |
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341 data1 = fm->AR |
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342 data2 = fm->HR |
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343 data = data1 + data2 |
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344 |
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345 delete (data1) |
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346 delete (data2) |
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347 end if |
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348 |
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349 data_mod0(5,:,:,:) = data(:,:,:) * factor |
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350 delete (data) |
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351 |
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352 delete (fm) |
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353 |
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354 ;************************************************************ |
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355 ; interpolate model data into observed station |
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356 ; note: model is 0-360E, 90S-90N |
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357 ;************************************************************ |
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358 |
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359 ; to be able to handle observation at (-89.98,-24.80) |
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360 ym(0) = -90. |
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361 |
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362 yy = linint2_points_Wrap(xm,ym,data_mod0,True,lon_ob(n),lat_ob(n),0) |
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363 |
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364 ; print (yy) |
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365 |
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366 data_mod(n,:,:) = yy(:,:,0) |
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367 |
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368 delete (yy) |
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369 |
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370 end do |
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371 ;************************************************************ |
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372 ; compute correlation coef and M score |
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373 ;************************************************************ |
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374 |
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375 score_max = 5. |
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376 |
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377 ccr = new ((/nstation, nfield/),float) |
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378 M_score = new ((/nstation, nfield/),float) |
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379 |
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380 do n=0,nstation-1 |
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381 do m=0,nfield-1 |
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382 ccr(n,m) = esccr(data_ob(n,m,:),data_mod(n,m,:),0) |
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383 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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384 M_score(n,m) = (1. -(bias/nmon)) * score_max |
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385 end do |
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386 end do |
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387 |
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388 M_co2 = avg(M_score(:,0)) |
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389 M_rad = avg(M_score(:,1)) |
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390 M_lh = avg(M_score(:,2)) |
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391 M_sh = avg(M_score(:,3)) |
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392 M_gpp = avg(M_score(:,4)) |
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393 M_er = avg(M_score(:,5)) |
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394 M_all = M_co2+ M_rad +M_lh + M_sh + M_gpp + M_er |
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395 |
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396 M_energy_co2 = sprintf("%.2f", M_co2) |
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397 M_energy_rad = sprintf("%.2f", M_rad) |
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398 M_energy_lh = sprintf("%.2f", M_lh ) |
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399 M_energy_sh = sprintf("%.2f", M_sh ) |
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400 M_energy_gpp = sprintf("%.2f", M_gpp) |
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401 M_energy_er = sprintf("%.2f", M_er ) |
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402 M_energy_all = sprintf("%.2f", M_all) |
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403 |
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404 ;******************************************************************* |
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405 ; for station line plot |
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406 ;******************************************************************* |
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407 |
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408 ; for x-axis in xyplot |
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409 mon = ispan(1,12,1) |
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410 mon@long_name = "month" |
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411 |
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412 res = True ; plot mods desired |
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413 res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker |
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414 res@xyLineColors = (/"blue","red"/) ; line color (ob,model) |
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415 ;------------------------------------------------------------------------- |
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416 ; Add a boxed legend using the more simple method |
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417 |
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418 res@pmLegendDisplayMode = "Always" |
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419 ; res@pmLegendWidthF = 0.1 |
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420 res@pmLegendWidthF = 0.08 |
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421 res@pmLegendHeightF = 0.06 |
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422 ; res@pmLegendOrthogonalPosF = -1.17 |
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423 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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424 res@pmLegendOrthogonalPosF = -0.30 ;(downward) |
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425 |
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426 ; res@pmLegendParallelPosF = 0.18 |
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427 res@pmLegendParallelPosF = 0.23 ;(rightward) |
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428 |
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429 ; res@lgPerimOn = False |
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430 res@lgLabelFontHeightF = 0.015 |
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431 res@xyExplicitLegendLabels = (/"observed",model_name/) |
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432 ;------------------------------------------------------------------- |
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433 ; for panel plot |
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434 res@gsnFrame = False ; Do not draw plot |
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435 res@gsnDraw = False ; Do not advance frame |
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436 |
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437 pres = True ; panel plot mods desired |
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438 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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439 ; indiv. plots in panel |
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440 pres@gsnMaximize = True ; fill the page |
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441 ;------------------------------------------------------------------- |
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442 |
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443 plot_data = new((/2,12/),float) |
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444 plot_data!0 = "case" |
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445 plot_data!1 = "month" |
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446 |
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447 do n = 0,nstation-1 |
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448 ;---------------------------- |
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449 ; for observed |
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450 |
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451 plot_name = station(n)+"_ob" |
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452 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
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453 res@tiMainString = title |
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454 |
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455 wks = gsn_open_wks (plot_type,plot_name) |
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456 plot=new(nfield,graphic) ; create graphic array |
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457 |
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458 plot_data(0,:) = (/data_ob (n,0,:)/) |
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459 plot_data@long_name = field(0) |
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460 plot(0)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 1 |
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461 |
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462 plot_data(0,:) = (/data_ob (n,1,:)/) |
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463 plot_data@long_name = field(1) |
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464 plot(1)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 2 |
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465 |
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466 plot_data(0,:) = (/data_ob (n,2,:)/) |
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467 plot_data@long_name = field(2) |
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468 plot(2)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 3 |
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469 |
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470 plot_data(0,:) = (/data_ob (n,3,:)/) |
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471 plot_data@long_name = field(3) |
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472 plot(3)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 4 |
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473 |
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474 plot_data(0,:) = (/data_ob (n,4,:)/) |
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475 plot_data@long_name = field(4) |
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476 plot(4)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 5 |
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477 |
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478 plot_data(0,:) = (/data_ob (n,5,:)/) |
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479 plot_data@long_name = field(5) |
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480 plot(5)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 6 |
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481 |
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482 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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483 |
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484 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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485 "rm "+plot_name+"."+plot_type) |
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486 |
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487 clear (wks) |
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488 delete (plot) |
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489 ;---------------------------- |
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490 ; for model_vs_ob |
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491 |
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492 plot_name = station(n)+"_model_vs_ob" |
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493 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
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494 res@tiMainString = title |
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495 |
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496 wks = gsn_open_wks (plot_type,plot_name) |
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497 plot=new(nfield,graphic) ; create graphic array |
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498 |
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499 plot_data(0,:) = (/data_ob (n,0,:)/) |
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500 plot_data(1,:) = (/data_mod(n,0,:)/) |
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501 plot_data@long_name = field(0) |
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502 plot(0)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 1 |
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503 |
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504 plot_data(0,:) = (/data_ob (n,1,:)/) |
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505 plot_data(1,:) = (/data_mod(n,1,:)/) |
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506 plot_data@long_name = field(1) |
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507 plot(1)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 2 |
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508 |
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509 plot_data(0,:) = (/data_ob (n,2,:)/) |
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510 plot_data(1,:) = (/data_mod(n,2,:)/) |
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511 plot_data@long_name = field(2) |
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512 plot(2)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 3 |
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513 |
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514 plot_data(0,:) = (/data_ob (n,3,:)/) |
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515 plot_data(1,:) = (/data_mod(n,3,:)/) |
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516 plot_data@long_name = field(3) |
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517 plot(3)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 4 |
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518 |
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519 |
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520 plot_data(0,:) = (/data_ob (n,4,:)/) |
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521 plot_data(1,:) = (/data_mod(n,4,:)/) |
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522 plot_data@long_name = field(4) |
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523 plot(4)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 5 |
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524 |
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525 |
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526 plot_data(0,:) = (/data_ob (n,5,:)/) |
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527 plot_data(1,:) = (/data_mod(n,5,:)/) |
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528 plot_data@long_name = field(5) |
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529 plot(5)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 6 |
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530 |
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531 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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532 |
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533 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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534 "rm "+plot_name+"."+plot_type) |
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535 |
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536 clear (wks) |
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537 delete (plot) |
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538 end do |
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539 |
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540 ;******************************************************************* |
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541 ; html table of site: observed |
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542 ;******************************************************************* |
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543 output_html = "line_ob.html" |
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544 |
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545 header = (/"<HTML>" \ |
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546 ,"<HEAD>" \ |
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547 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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548 ,"</HEAD>" \ |
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549 ,"<H1>Energy at Site: Observation</H1>" \ |
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550 /) |
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551 footer = "</HTML>" |
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552 |
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553 table_header = (/ \ |
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554 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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555 ,"<tr>" \ |
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556 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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557 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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558 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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559 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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560 ,"</tr>" \ |
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561 /) |
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562 table_footer = "</table>" |
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563 row_header = "<tr>" |
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564 row_footer = "</tr>" |
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565 |
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566 lines = new(50000,string) |
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567 nline = 0 |
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568 |
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569 set_line(lines,nline,header) |
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570 set_line(lines,nline,table_header) |
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571 ;----------------------------------------------- |
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572 ; row of table |
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573 |
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574 do n = 0,nstation-1 |
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575 set_line(lines,nline,row_header) |
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576 |
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577 txt0 = station(n) |
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578 txt1 = sprintf("%5.2f", lat_ob(n)) |
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579 txt2 = sprintf("%5.2f", lon_ob(n)) |
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580 txt3 = year_ob(n) |
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581 |
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582 set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>") |
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583 set_line(lines,nline,"<th>"+txt1+"</th>") |
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584 set_line(lines,nline,"<th>"+txt2+"</th>") |
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585 set_line(lines,nline,"<th>"+txt3+"</th>") |
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586 |
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587 set_line(lines,nline,row_footer) |
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588 end do |
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589 ;----------------------------------------------- |
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590 set_line(lines,nline,table_footer) |
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591 set_line(lines,nline,footer) |
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592 |
|
593 ; Now write to an HTML file. |
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594 idx = ind(.not.ismissing(lines)) |
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595 if(.not.any(ismissing(idx))) then |
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596 asciiwrite(output_html,lines(idx)) |
|
597 else |
|
598 print ("error?") |
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599 end if |
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600 delete (idx) |
|
601 |
|
602 ;******************************************************************* |
|
603 ; score and line table : model vs observed |
|
604 ;******************************************************************* |
|
605 output_html = "score+line_vs_ob.html" |
|
606 |
|
607 header = (/"<HTML>" \ |
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608 ,"<HEAD>" \ |
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609 ,"<TITLE>CLAMP metrics</TITLE>" \ |
|
610 ,"</HEAD>" \ |
|
611 ,"<H1>Energy at Site: Model "+model_name+"</H1>" \ |
|
612 /) |
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613 footer = "</HTML>" |
|
614 |
|
615 delete (table_header) |
|
616 table_header = (/ \ |
|
617 "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \ |
|
618 ,"<tr>" \ |
|
619 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
|
620 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
|
621 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
|
622 ," <th bgcolor=DDDDDD >Observed</th>" \ |
|
623 ," <th bgcolor=DDDDDD >CO2 Flux</th>" \ |
|
624 ," <th bgcolor=DDDDDD >Net Radiation</th>" \ |
|
625 ," <th bgcolor=DDDDDD >Latent Heat</th>" \ |
|
626 ," <th bgcolor=DDDDDD >Sensible Heat</th>" \ |
|
627 ," <th bgcolor=DDDDDD >GPP Glux</th>" \ |
|
628 ," <th bgcolor=DDDDDD >Respiration</th>" \ |
|
629 ," <th bgcolor=DDDDDD >Average</th>" \ |
|
630 ,"</tr>" \ |
|
631 /) |
|
632 table_footer = "</table>" |
|
633 row_header = "<tr>" |
|
634 row_footer = "</tr>" |
|
635 |
|
636 lines = new(50000,string) |
|
637 nline = 0 |
|
638 |
|
639 set_line(lines,nline,header) |
|
640 set_line(lines,nline,table_header) |
|
641 ;----------------------------------------------- |
|
642 ; row of table |
|
643 |
|
644 do n = 0,nstation-1 |
|
645 set_line(lines,nline,row_header) |
|
646 |
|
647 txt0 = station(n) |
|
648 txt1 = sprintf("%5.2f", lat_ob(n)) |
|
649 txt2 = sprintf("%5.2f", lon_ob(n)) |
|
650 txt3 = year_ob(n) |
|
651 txt4 = sprintf("%5.2f", M_score(n,0)) |
|
652 txt5 = sprintf("%5.2f", M_score(n,1)) |
|
653 txt6 = sprintf("%5.2f", M_score(n,2)) |
|
654 txt7 = sprintf("%5.2f", M_score(n,3)) |
|
655 txt8 = sprintf("%5.2f", M_score(n,4)) |
|
656 txt9 = sprintf("%5.2f", M_score(n,5)) |
|
657 txt10 = sprintf("%5.2f", avg(M_score(n,:))) |
|
658 |
|
659 set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>") |
|
660 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
661 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
662 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
663 set_line(lines,nline,"<th>"+txt4+"</th>") |
|
664 set_line(lines,nline,"<th>"+txt5+"</th>") |
|
665 set_line(lines,nline,"<th>"+txt6+"</th>") |
|
666 set_line(lines,nline,"<th>"+txt7+"</th>") |
|
667 set_line(lines,nline,"<th>"+txt8+"</th>") |
|
668 set_line(lines,nline,"<th>"+txt9+"</th>") |
|
669 set_line(lines,nline,"<th>"+txt10+"</th>") |
|
670 |
|
671 set_line(lines,nline,row_footer) |
|
672 end do |
|
673 |
|
674 ; last row, summary |
|
675 set_line(lines,nline,row_header) |
|
676 |
|
677 txt0 = "All_"+sprintf("%.0f", nstation) |
|
678 txt1 = "-" |
|
679 txt2 = "-" |
|
680 txt3 = "-" |
|
681 txt4 = M_energy_co2 |
|
682 txt5 = M_energy_rad |
|
683 txt6 = M_energy_lh |
|
684 txt7 = M_energy_sh |
|
685 txt8 = M_energy_gpp |
|
686 txt9 = M_energy_er |
|
687 txt10 = M_energy_all |
|
688 |
|
689 set_line(lines,nline,"<th>"+txt0+"</th>") |
|
690 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
691 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
692 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
693 set_line(lines,nline,"<th>"+txt4+"</th>") |
|
694 set_line(lines,nline,"<th>"+txt5+"</th>") |
|
695 set_line(lines,nline,"<th>"+txt6+"</th>") |
|
696 set_line(lines,nline,"<th>"+txt7+"</th>") |
|
697 set_line(lines,nline,"<th>"+txt8+"</th>") |
|
698 set_line(lines,nline,"<th>"+txt9+"</th>") |
|
699 set_line(lines,nline,"<th>"+txt10+"</th>") |
|
700 |
|
701 set_line(lines,nline,row_footer) |
|
702 ;----------------------------------------------- |
|
703 set_line(lines,nline,table_footer) |
|
704 set_line(lines,nline,footer) |
|
705 |
|
706 ; Now write to an HTML file. |
|
707 idx = ind(.not.ismissing(lines)) |
|
708 if(.not.any(ismissing(idx))) then |
|
709 asciiwrite(output_html,lines(idx)) |
|
710 else |
|
711 print ("error?") |
|
712 end if |
|
713 delete (idx) |
|
714 |
|
715 ;*************************************************************************** |
|
716 ; output plots |
|
717 ;*************************************************************************** |
|
718 output_dir = model_name+"/ameriflux" |
|
719 |
|
720 system("mv *.png *.html " + output_dir) |
|
721 ;*************************************************************************** |
|
722 end |