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1 ;************************************************************ |
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2 ; change data name to timeseries_L4_m.nc |
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3 ; move data |
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4 ; merge annual |
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5 ; add table |
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6 ; add time series plot |
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7 ; sort by latitude in decending order (N->S) |
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8 ; find year_ob >= 4 |
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9 ; add year_ob_i and year_ob_f |
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10 ; change long_name |
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11 ;************************************************************ |
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12 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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13 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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14 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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15 ;************************************************************ |
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16 procedure set_line(lines:string,nline:integer,newlines:string) |
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17 begin |
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18 ; add line to ascci/html file |
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19 |
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20 nnewlines = dimsizes(newlines) |
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21 if(nline+nnewlines-1.ge.dimsizes(lines)) |
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22 print("set_line: bad index, not setting anything.") |
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23 return |
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24 end if |
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25 lines(nline:nline+nnewlines-1) = newlines |
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26 ; print ("lines = " + lines(nline:nline+nnewlines-1)) |
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27 nline = nline + nnewlines |
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28 return |
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29 end |
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30 ;************************************************************* |
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31 begin |
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32 |
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33 plot_type = "ps" |
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34 plot_type_new = "png" |
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35 |
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36 ;************************************************ |
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37 ; model data info |
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38 ;************************************************ |
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39 model = "cn" |
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40 ; model = "casa" |
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41 |
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42 model_name = "i01.10" + model |
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43 |
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44 ENERGY ="new" |
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45 |
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46 nmonth = 12 |
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47 |
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48 ;************************************************ |
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49 ; observed data info |
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50 ;************************************************ |
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51 |
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52 station = (/"ARM_Oklahoma" \ |
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53 ,"ARM_Oklahoma_burn" \ |
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54 ,"ARM_Oklahoma_control" \ |
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55 ,"Atqasuk" \ |
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56 ,"Audubon" \ |
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57 ,"AustinCary" \ |
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58 ,"Bartlett" \ |
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59 ,"Bondville" \ |
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60 ,"Brookings" \ |
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61 ,"Donaldson" \ |
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62 ,"Duke_Forest_Hardwoods" \ |
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63 ,"Duke_Forest_Open_Field" \ |
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64 ,"Duke_Forest_Pine" \ |
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65 ,"Fermi_Ag" \ |
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66 ,"Fermi_Prairie" \ |
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67 ,"Flagstaff_Managed" \ |
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68 ,"Flagstaff_Unmanaged" \ |
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69 ,"Flagstaff_Wildfire" \ |
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70 ,"FortPeck" \ |
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71 ,"FreemanRanch_mesquite" \ |
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72 ,"Goodwin_Creek" \ |
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73 ,"HarvardForest" \ |
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74 ,"HarvardForestHemlock" \ |
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75 ,"HowlandForestMain" \ |
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76 ,"HowlandForestWest" \ |
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77 ,"Ivotuk" \ |
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78 ,"KendallGrasslands" \ |
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79 ,"KennedySpaceCenterPine" \ |
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80 ,"KennedySpaceCenterScrub" \ |
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81 ,"LittleProspect" \ |
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82 ,"LostCreek" \ |
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83 ,"Mead-irrigated" \ |
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84 ,"Mead-irrigated-rotation" \ |
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85 ,"Mead-rainfed" \ |
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86 ,"Metolius_2nd_YoungPonderosaPine" \ |
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87 ,"MetoliusEyerly" \ |
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88 ,"MetoliusIntermediatePine" \ |
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89 ,"MetoliusOldPonderosaPine" \ |
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90 ,"MissouriOzark" \ |
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91 ,"Mize" \ |
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92 ,"MorganMonroe" \ |
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93 ,"NiwotRidge" \ |
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94 ,"NorthCarolina_cc" \ |
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95 ,"NorthCarolina_lp" \ |
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96 ,"ParkFalls" \ |
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97 ,"Rayonier" \ |
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98 ,"SantaRita" \ |
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99 ,"SkyOaks_Old" \ |
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100 ,"SkyOaks_PostFire" \ |
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101 ,"SkyOaks_Young" \ |
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102 ,"SylvaniaWilderness" \ |
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103 ,"Toledo" \ |
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104 ,"Tonzi" \ |
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105 ,"UCI_1850" \ |
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106 ,"UCI_1930" \ |
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107 ,"UCI_1964" \ |
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108 ,"UCI_1964wet" \ |
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109 ,"UCI_1981" \ |
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110 ,"UCI_1989" \ |
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111 ,"UCI_1998" \ |
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112 ,"UMBS" \ |
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113 ,"Vaira" \ |
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114 ,"WalkerBranch" \ |
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115 ,"WillowCreek" \ |
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116 ,"WindRiver" \ |
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117 ,"Wisconsin_ihw" \ |
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118 ,"Wisconsin_irp" \ |
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119 ,"Wisconsin_mrp" \ |
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120 ,"Wisconsin_myjp" \ |
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121 ,"Wisconsin_pb" \ |
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122 ,"Wisconsin_rpcc" \ |
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123 ,"Wisconsin_yhw" \ |
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124 ,"Wisconsin_yjp" \ |
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125 ,"Wisconsin_yrp" \ |
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126 /) |
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127 |
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128 field = (/"NEE Flux" \ |
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129 ,"Net Radiation" \ |
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130 ,"Latent Heat" \ |
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131 ,"Sensible Heat" \ |
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132 ,"GPP Flux" \ |
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133 ,"Respiration" \ |
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134 /) |
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135 |
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136 field_unit = (/"u mol/m2/s" \ |
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137 ,"W/m2" \ |
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138 ,"W/m2" \ |
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139 ,"W/m2" \ |
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140 ,"u mol/m2/s" \ |
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141 ,"u mol/m2/s" \ |
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142 /) |
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143 |
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144 nstation = dimsizes(station) |
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145 nfield = dimsizes(field) |
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146 |
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147 ;======================================================================== |
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148 ; get observed info: number of year, first/last year, lat, lon |
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149 ; and annual data |
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150 |
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151 dir_root = "/fis/cgd/cseg/people/jeff/clamp_data/observed/ameriflux/" |
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152 |
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153 year_station = new ((/nstation/),integer) ; number of year |
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154 year_ob = new ((/nstation/),string) ; observed year |
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155 year_ob_i = new ((/nstation/),integer) ; first year |
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156 year_ob_f = new ((/nstation/),integer) ; last year |
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157 lat_ob = new ((/nstation/),float) ; latitude |
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158 lon_ob = new ((/nstation/),float) ; longitude |
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159 |
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160 data_ob_ann = new ((/nfield, nmonth, nstation/),float) |
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161 |
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162 do n = 0, nstation-1 |
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163 |
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164 diro = dir_root + station(n)+"/" |
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165 filo = "timeseries_L4_m.nc" |
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166 fo = addfile (diro+filo,"r") |
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167 |
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168 lat_ob(n) = fo->lat |
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169 lon_ob(n) = fo->lon |
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170 |
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171 year = fo->year |
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172 |
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173 year_station(n) = dimsizes(year) |
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174 year_ob_i(n) = year(0) |
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175 year_ob_f(n) = year(year_station(n)-1) |
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176 year_ob(n) = year_ob_i(n) + "-" + year_ob_f(n) |
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177 |
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178 delete (year) |
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179 |
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180 data = fo->NEE_or_fMDS |
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181 data_ob_ann(0,:,n) = dim_avg(data(month|:,year|:)) |
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182 |
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183 data = fo->Rg_f |
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184 data_ob_ann(1,:,n) = dim_avg(data(month|:,year|:)) |
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185 |
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186 data = fo->LE_f |
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187 data_ob_ann(2,:,n) = dim_avg(data(month|:,year|:)) |
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188 |
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189 data = fo->H_f |
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190 data_ob_ann(3,:,n) = dim_avg(data(month|:,year|:)) |
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191 |
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192 data = fo->GPP_or_MDS |
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193 data_ob_ann(4,:,n) = dim_avg(data(month|:,year|:)) |
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194 |
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195 data = fo->Reco_or |
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196 data_ob_ann(5,:,n) = dim_avg(data(month|:,year|:)) |
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197 |
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198 delete (data) |
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199 delete (fo) |
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200 end do |
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201 |
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202 ;print (year_ob_i) |
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203 ;print (year_ob_f) |
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204 |
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205 ;-------------------------------------------------------------- |
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206 ; find (# of year observed) >=4 and year_ob_i <= 2001 |
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207 |
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208 i_long_ob = ind(year_station .ge. 4 .and. year_ob_i .le. 2001) |
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209 |
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210 station_long = station(i_long_ob) |
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211 lat_ob_long = lat_ob(i_long_ob) |
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212 lon_ob_long = lat_ob(i_long_ob) |
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213 year_ob_long = year_ob(i_long_ob) |
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214 year_ob_i_long = year_ob_i(i_long_ob) |
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215 year_ob_f_long = year_ob_f(i_long_ob) |
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216 year_station_long = year_station(i_long_ob) |
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217 |
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218 nstation_long = dimsizes(station_long) |
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219 |
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220 ; print (i_long_ob) |
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221 ; print (nstation_long) |
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222 ; print (station_long) |
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223 ; print (year_ob_i(i_long_ob)) |
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224 |
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225 ;========================================================= |
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226 ; get model data at observed lat-lon |
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227 |
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228 dirm = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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229 film = model_name+"_ameriflux_1990-2004_monthly.nc" |
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230 fm = addfile (dirm+film,"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 data_mod(0,:,:,:) = data(:,:,:) * factor |
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262 |
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263 ; data = fm->LATENT |
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264 data1 = fm->FCEV |
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265 data2 = fm->FCTR |
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266 data3 = fm->FGEV |
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267 data_mod(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:) |
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268 delete (data1) |
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269 delete (data2) |
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270 delete (data3) |
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271 |
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272 ; data = fm->SENSIBLE |
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273 data = fm->FSH |
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274 data_mod(3,:,:,:) = data(:,:,:) |
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275 |
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276 ; data = fm->NETRAD |
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277 data1 = fm->FSA |
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278 data2 = fm->FIRA |
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279 data_mod(1,:,:,:) = data1(:,:,:)-data2(:,:,:) |
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280 delete (data1) |
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281 delete (data2) |
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282 |
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283 else |
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284 |
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285 data = fm->NEE |
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286 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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287 data_mod_ann(0,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor |
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288 data_mod(0,:,:,:) = yy(:,:,:) * factor |
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289 |
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290 ; printVarSummary(yy) |
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291 |
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292 data = fm->NETRAD |
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293 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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294 data_mod_ann(1,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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295 data_mod(1,:,:,:) = yy(:,:,:) |
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296 |
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297 data = fm->LATENT |
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298 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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299 data_mod_ann(2,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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300 data_mod(2,:,:,:) = yy(:,:,:) |
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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 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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305 data_mod_ann(3,:,:)= dim_avg(yy(month|:,pts|:,year|:)) |
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306 data_mod(3,:,:,:) = yy(:,:,:) |
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307 |
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308 end if |
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309 |
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310 data = fm->GPP |
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311 yy = linint2_points_Wrap(xm,ym,data,True,lon_ob,lat_ob,0) |
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312 data_mod_ann(4,:,:)= dim_avg(yy(month|:,pts|:,year|:)) * factor |
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313 data_mod(4,:,:,:) = yy(:,:,:) * factor |
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314 |
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315 if (model .eq. "cn") then |
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316 data = fm->ER |
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317 else |
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318 data1 = fm->AR |
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319 data2 = fm->HR |
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320 data = data1 + data2 |
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321 |
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322 delete (data1) |
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323 delete (data2) |
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324 end if |
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325 |
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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 |
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328 data_mod(5,:,:,:) = yy(:,:,:) * factor |
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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 ;******************************************************************* |
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338 ; for station line plot |
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339 ;******************************************************************* |
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340 |
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341 ; for x-axis in xyplot |
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342 mon = ispan(1,12,1) |
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343 mon@long_name = "month" |
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344 |
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345 res = True ; plot mods desired |
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346 res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker |
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347 res@xyLineColors = (/"blue","red"/) ; line color (ob,model) |
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348 |
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349 res@tmXBFormat = "f" ; not to add trailing zeros |
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350 |
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351 ;------------------------------------------------------------------------- |
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352 ; Add a boxed legend using the more simple method |
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353 |
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354 res@pmLegendDisplayMode = "Always" |
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355 ; res@pmLegendWidthF = 0.1 |
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356 res@pmLegendWidthF = 0.08 |
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357 res@pmLegendHeightF = 0.06 |
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358 ; res@pmLegendOrthogonalPosF = -1.17 |
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359 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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360 res@pmLegendOrthogonalPosF = -0.30 ;(downward) |
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361 |
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362 ; res@pmLegendParallelPosF = 0.18 |
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363 res@pmLegendParallelPosF = 0.23 ;(rightward) |
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364 |
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365 ; res@lgPerimOn = False |
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366 res@lgLabelFontHeightF = 0.015 |
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367 res@xyExplicitLegendLabels = (/"observed",model_name/) |
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368 ;------------------------------------------------------------------- |
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369 ; for panel plot |
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370 res@gsnFrame = False ; Do not draw plot |
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371 res@gsnDraw = False ; Do not advance frame |
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372 |
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373 pres = True ; panel plot mods desired |
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374 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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375 ; indiv. plots in panel |
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376 pres@gsnMaximize = True ; fill the page |
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377 ;------------------------------------------------------------------- |
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378 |
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379 ;============================================================== |
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380 ; get ob data at each site with long observation |
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381 |
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382 dir_root = "/fis/cgd/cseg/people/jeff/clamp/ameriflux/data/" |
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383 |
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384 do n = 0,nstation_long-1 |
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385 ; do n = 0,0 |
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386 |
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387 year_setback = 0 |
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388 |
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389 nyear = year_station_long(n) |
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390 |
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391 if (year_ob_f_long(n).eq. 2006) then |
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392 year_setback = 2006 -2004 |
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393 end if |
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394 if (year_ob_f_long(n).eq. 2005) then |
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395 year_setback = 2005 -2004 |
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396 end if |
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397 |
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398 ntime = (nyear - year_setback) * nmonth |
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399 |
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400 data_ob = new ((/nfield, nyear, nmonth/),float) |
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401 |
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402 diro = dir_root + station_long(n)+"/" |
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403 filo = year_ob_long(n)+"_L4_m.nc" |
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404 fo = addfile (diro+filo,"r") |
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405 |
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406 ; print (diro) |
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407 ; print (filo) |
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408 |
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409 data_ob(0,:,:) = fo->NEE_or_fMDS |
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410 data_ob(1,:,:) = fo->Rg_f |
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411 data_ob(2,:,:) = fo->LE_f |
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412 data_ob(3,:,:) = fo->H_f |
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413 data_ob(4,:,:) = fo->GPP_or_MDS |
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414 data_ob(5,:,:) = fo->Reco_or |
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415 |
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416 delete (fo) |
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417 |
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418 timeI = new((/ntime/),integer) |
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419 timeF = new((/ntime/),float) |
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420 timeI = ispan(1,ntime,1) |
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421 timeF = year_ob_i_long(n) + (timeI-1)/12. |
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422 timeF@long_name = "year" |
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423 |
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424 plot_data = new((/2,ntime/),float) |
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425 |
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426 ;---------------------------- |
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427 ; for model_vs_ob |
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428 |
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429 plot_name = station_long(n)+"_tseries_vs_ob" |
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430 title = station_long(n)+"("+sprintf("%5.2f",lat_ob_long(n))+","+sprintf("%5.2f",lon_ob_long(n))+")" |
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431 res@tiMainString = title |
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432 |
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433 wks = gsn_open_wks (plot_type,plot_name) |
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434 plot=new(nfield,graphic) ; create graphic array |
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435 |
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436 i_year_mod_i = year_ob_i_long(n) - 1990 |
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437 i_year_mod_f = i_year_mod_i + nyear - 1 - year_setback |
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438 |
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439 i_year_ob_f = nyear - year_setback - 1 |
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440 |
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441 ; print (nyear) |
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442 ; print (i_year_ob_f) |
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443 ; print (i_year_mod_i) |
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444 ; print (i_year_mod_f) |
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445 |
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446 do i = 0,nfield-1 |
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447 plot_data(0,:) = ndtooned(data_ob (i,0:i_year_ob_f,:)) |
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448 plot_data(1,:) = ndtooned(data_mod_long(i,i_year_mod_i:i_year_mod_f,:,n)) |
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449 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
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450 plot(i)=gsn_csm_xy(wks,timeF,plot_data,res) ; create plot |
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451 end do |
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452 |
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453 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
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454 |
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455 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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456 "rm "+plot_name+"."+plot_type) |
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457 |
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458 clear (wks) |
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459 delete (plot) |
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460 |
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461 delete (data_ob) |
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462 delete (timeI) |
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463 delete (timeF) |
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464 delete (plot_data) |
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465 |
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466 end do |
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467 |
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468 ;################################################################### |
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469 ; for the following tables, |
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470 ; sort by latitude in decending order (N->S) |
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471 |
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472 isort = dim_pqsort(lat_ob_long,-1) |
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473 |
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474 station_sort = station_long(isort) |
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475 year_ob_sort = year_ob_long(isort) |
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476 lat_ob_sort = lat_ob_long(isort) |
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477 lon_ob_sort = lon_ob_long(isort) |
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478 |
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479 ; print(isort) |
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480 ; print(lat_ob_sort) |
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481 |
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482 ;******************************************************************* |
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483 ; html table of site: observed |
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484 ;******************************************************************* |
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485 output_html = "tseries_vs_ob.html" |
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486 |
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487 header = (/"<HTML>" \ |
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488 ,"<HEAD>" \ |
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489 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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490 ,"</HEAD>" \ |
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491 ,"<H1>Timeseries at Site: "+model_name+" vs Observation</H1>" \ |
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492 /) |
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493 footer = "</HTML>" |
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494 |
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495 table_header = (/ \ |
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496 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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497 ,"<tr>" \ |
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498 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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499 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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500 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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501 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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502 ,"</tr>" \ |
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503 /) |
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504 table_footer = "</table>" |
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505 row_header = "<tr>" |
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506 row_footer = "</tr>" |
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507 |
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508 lines = new(50000,string) |
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509 nline = 0 |
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510 |
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511 set_line(lines,nline,header) |
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512 set_line(lines,nline,table_header) |
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513 ;----------------------------------------------- |
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514 ; row of table |
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515 |
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516 do n = 0,nstation_long-1 |
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517 |
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518 set_line(lines,nline,row_header) |
|
519 |
|
520 txt0 = station_sort(n) |
|
521 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
|
522 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
|
523 txt3 = year_ob_sort(n) |
|
524 |
|
525 set_line(lines,nline,"<th><a href="+txt0+"_tseries_vs_ob.png>"+txt0+"</a></th>") |
|
526 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
527 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
528 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
529 |
|
530 set_line(lines,nline,row_footer) |
|
531 end do |
|
532 ;----------------------------------------------- |
|
533 set_line(lines,nline,table_footer) |
|
534 set_line(lines,nline,footer) |
|
535 |
|
536 ; Now write to an HTML file. |
|
537 idx = ind(.not.ismissing(lines)) |
|
538 if(.not.any(ismissing(idx))) then |
|
539 asciiwrite(output_html,lines(idx)) |
|
540 else |
|
541 print ("error?") |
|
542 end if |
|
543 delete (idx) |
|
544 |
|
545 delete (isort) |
|
546 delete (station_sort) |
|
547 delete (year_ob_sort) |
|
548 delete (lat_ob_sort) |
|
549 delete (lon_ob_sort) |
|
550 |
|
551 ;************************************************************ |
|
552 ; compute annual cycle correlation coef and M score |
|
553 ;************************************************************ |
|
554 |
|
555 score_max = 5. |
|
556 |
|
557 ccr = new ((/nstation, nfield/),float) |
|
558 M_score = new ((/nstation, nfield/),float) |
|
559 |
|
560 do n=0,nstation-1 |
|
561 do m=0,nfield-1 |
|
562 ccr(n,m) = esccr(data_ob_ann(m,:,n),data_mod_ann(m,:,n),0) |
|
563 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)))) |
|
564 M_score(n,m) = (1. -(bias/nmonth)) * score_max |
|
565 end do |
|
566 end do |
|
567 |
|
568 M_co2 = avg(M_score(:,0)) |
|
569 M_rad = avg(M_score(:,1)) |
|
570 M_lh = avg(M_score(:,2)) |
|
571 M_sh = avg(M_score(:,3)) |
|
572 M_gpp = avg(M_score(:,4)) |
|
573 M_er = avg(M_score(:,5)) |
|
574 M_all = M_co2+ M_rad +M_lh + M_sh + M_gpp + M_er |
|
575 |
|
576 M_energy_co2 = sprintf("%.2f", M_co2) |
|
577 M_energy_rad = sprintf("%.2f", M_rad) |
|
578 M_energy_lh = sprintf("%.2f", M_lh ) |
|
579 M_energy_sh = sprintf("%.2f", M_sh ) |
|
580 M_energy_gpp = sprintf("%.2f", M_gpp) |
|
581 M_energy_er = sprintf("%.2f", M_er ) |
|
582 M_energy_all = sprintf("%.2f", M_all) |
|
583 |
|
584 ;******************************************************************* |
|
585 ; for station line plot |
|
586 ;******************************************************************* |
|
587 |
|
588 ; for x-axis in xyplot |
|
589 mon = ispan(1,12,1) |
|
590 mon@long_name = "month" |
|
591 |
|
592 ;------------------------------------------------------------------- |
|
593 |
|
594 plot_data = new((/2,nmonth/),float) |
|
595 plot_data!0 = "case" |
|
596 plot_data!1 = "month" |
|
597 |
|
598 do n = 0,nstation-1 |
|
599 ;---------------------------- |
|
600 ; for observed |
|
601 |
|
602 plot_name = station(n)+"_ob" |
|
603 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
|
604 res@tiMainString = title |
|
605 |
|
606 wks = gsn_open_wks (plot_type,plot_name) |
|
607 plot=new(nfield,graphic) ; create graphic array |
|
608 |
|
609 do i = 0,nfield-1 |
|
610 plot_data(0,:) = (/data_ob_ann(i,:,n)/) |
|
611 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
|
612 plot(i)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot |
|
613 end do |
|
614 |
|
615 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
|
616 |
|
617 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
|
618 "rm "+plot_name+"."+plot_type) |
|
619 |
|
620 clear (wks) |
|
621 delete (plot) |
|
622 ;---------------------------- |
|
623 ; for model_vs_ob |
|
624 |
|
625 plot_name = station(n)+"_model_vs_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(1,:) = (/data_mod_ann(i,:,n)/) |
|
635 plot_data@long_name = field(i)+" ("+field_unit(i)+")" |
|
636 plot(i)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot |
|
637 end do |
|
638 |
|
639 gsn_panel(wks,plot,(/3,2/),pres) ; create panel plot |
|
640 |
|
641 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
|
642 "rm "+plot_name+"."+plot_type) |
|
643 |
|
644 clear (wks) |
|
645 delete (plot) |
|
646 end do |
|
647 |
|
648 ;################################################################### |
|
649 ; for the following tables, |
|
650 ; sort by latitude in decending order (N->S) |
|
651 ; sort by lat in decending order (N->S) |
|
652 |
|
653 isort = dim_pqsort(lat_ob,-1) |
|
654 |
|
655 station_sort = station(isort) |
|
656 year_ob_sort = year_ob(isort) |
|
657 lat_ob_sort = lat_ob(isort) |
|
658 lon_ob_sort = lon_ob(isort) |
|
659 M_score_sort = M_score(isort,:) |
|
660 |
|
661 ; print(isort) |
|
662 ; print(lat_ob_sort) |
|
663 ;################################################################### |
|
664 ;******************************************************************* |
|
665 ; html table of site: observed |
|
666 ;******************************************************************* |
|
667 output_html = "line_ob.html" |
|
668 |
|
669 header = (/"<HTML>" \ |
|
670 ,"<HEAD>" \ |
|
671 ,"<TITLE>CLAMP metrics</TITLE>" \ |
|
672 ,"</HEAD>" \ |
|
673 ,"<H1>Energy at Site: Observation</H1>" \ |
|
674 /) |
|
675 footer = "</HTML>" |
|
676 |
|
677 table_header = (/ \ |
|
678 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
|
679 ,"<tr>" \ |
|
680 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
|
681 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
|
682 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
|
683 ," <th bgcolor=DDDDDD >Observed</th>" \ |
|
684 ,"</tr>" \ |
|
685 /) |
|
686 table_footer = "</table>" |
|
687 row_header = "<tr>" |
|
688 row_footer = "</tr>" |
|
689 |
|
690 lines = new(50000,string) |
|
691 nline = 0 |
|
692 |
|
693 set_line(lines,nline,header) |
|
694 set_line(lines,nline,table_header) |
|
695 ;----------------------------------------------- |
|
696 ; row of table |
|
697 |
|
698 do n = 0,nstation-1 |
|
699 set_line(lines,nline,row_header) |
|
700 |
|
701 txt0 = station_sort(n) |
|
702 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
|
703 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
|
704 txt3 = year_ob_sort(n) |
|
705 |
|
706 set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>") |
|
707 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
708 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
709 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
710 |
|
711 set_line(lines,nline,row_footer) |
|
712 end do |
|
713 ;----------------------------------------------- |
|
714 set_line(lines,nline,table_footer) |
|
715 set_line(lines,nline,footer) |
|
716 |
|
717 ; Now write to an HTML file. |
|
718 idx = ind(.not.ismissing(lines)) |
|
719 if(.not.any(ismissing(idx))) then |
|
720 asciiwrite(output_html,lines(idx)) |
|
721 else |
|
722 print ("error?") |
|
723 end if |
|
724 delete (idx) |
|
725 |
|
726 ;******************************************************************* |
|
727 ; score and line table : model vs observed |
|
728 ;******************************************************************* |
|
729 output_html = "score+line_vs_ob.html" |
|
730 |
|
731 header = (/"<HTML>" \ |
|
732 ,"<HEAD>" \ |
|
733 ,"<TITLE>CLAMP metrics</TITLE>" \ |
|
734 ,"</HEAD>" \ |
|
735 ,"<H1>Energy at Site: Model "+model_name+"</H1>" \ |
|
736 /) |
|
737 footer = "</HTML>" |
|
738 |
|
739 delete (table_header) |
|
740 table_header = (/ \ |
|
741 "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \ |
|
742 ,"<tr>" \ |
|
743 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
|
744 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
|
745 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
|
746 ," <th bgcolor=DDDDDD >Observed</th>" \ |
|
747 ," <th bgcolor=DDDDDD >CO2 Flux</th>" \ |
|
748 ," <th bgcolor=DDDDDD >Net Radiation</th>" \ |
|
749 ," <th bgcolor=DDDDDD >Latent Heat</th>" \ |
|
750 ," <th bgcolor=DDDDDD >Sensible Heat</th>" \ |
|
751 ," <th bgcolor=DDDDDD >GPP Glux</th>" \ |
|
752 ," <th bgcolor=DDDDDD >Respiration</th>" \ |
|
753 ," <th bgcolor=DDDDDD >Average</th>" \ |
|
754 ,"</tr>" \ |
|
755 /) |
|
756 table_footer = "</table>" |
|
757 row_header = "<tr>" |
|
758 row_footer = "</tr>" |
|
759 |
|
760 lines = new(50000,string) |
|
761 nline = 0 |
|
762 |
|
763 set_line(lines,nline,header) |
|
764 set_line(lines,nline,table_header) |
|
765 ;----------------------------------------------- |
|
766 ; row of table |
|
767 |
|
768 do n = 0,nstation-1 |
|
769 set_line(lines,nline,row_header) |
|
770 |
|
771 txt0 = station_sort(n) |
|
772 txt1 = sprintf("%5.2f", lat_ob_sort(n)) |
|
773 txt2 = sprintf("%5.2f", lon_ob_sort(n)) |
|
774 txt3 = year_ob_sort(n) |
|
775 txt4 = sprintf("%5.2f", M_score_sort(n,0)) |
|
776 txt5 = sprintf("%5.2f", M_score_sort(n,1)) |
|
777 txt6 = sprintf("%5.2f", M_score_sort(n,2)) |
|
778 txt7 = sprintf("%5.2f", M_score_sort(n,3)) |
|
779 txt8 = sprintf("%5.2f", M_score_sort(n,4)) |
|
780 txt9 = sprintf("%5.2f", M_score_sort(n,5)) |
|
781 txt10 = sprintf("%5.2f", avg(M_score_sort(n,:))) |
|
782 |
|
783 set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>") |
|
784 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
785 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
786 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
787 set_line(lines,nline,"<th>"+txt4+"</th>") |
|
788 set_line(lines,nline,"<th>"+txt5+"</th>") |
|
789 set_line(lines,nline,"<th>"+txt6+"</th>") |
|
790 set_line(lines,nline,"<th>"+txt7+"</th>") |
|
791 set_line(lines,nline,"<th>"+txt8+"</th>") |
|
792 set_line(lines,nline,"<th>"+txt9+"</th>") |
|
793 set_line(lines,nline,"<th>"+txt10+"</th>") |
|
794 |
|
795 set_line(lines,nline,row_footer) |
|
796 end do |
|
797 |
|
798 ; last row, summary |
|
799 set_line(lines,nline,row_header) |
|
800 |
|
801 txt0 = "All_"+sprintf("%.0f", nstation) |
|
802 txt1 = "-" |
|
803 txt2 = "-" |
|
804 txt3 = "-" |
|
805 txt4 = M_energy_co2 |
|
806 txt5 = M_energy_rad |
|
807 txt6 = M_energy_lh |
|
808 txt7 = M_energy_sh |
|
809 txt8 = M_energy_gpp |
|
810 txt9 = M_energy_er |
|
811 txt10 = M_energy_all |
|
812 |
|
813 set_line(lines,nline,"<th>"+txt0+"</th>") |
|
814 set_line(lines,nline,"<th>"+txt1+"</th>") |
|
815 set_line(lines,nline,"<th>"+txt2+"</th>") |
|
816 set_line(lines,nline,"<th>"+txt3+"</th>") |
|
817 set_line(lines,nline,"<th>"+txt4+"</th>") |
|
818 set_line(lines,nline,"<th>"+txt5+"</th>") |
|
819 set_line(lines,nline,"<th>"+txt6+"</th>") |
|
820 set_line(lines,nline,"<th>"+txt7+"</th>") |
|
821 set_line(lines,nline,"<th>"+txt8+"</th>") |
|
822 set_line(lines,nline,"<th>"+txt9+"</th>") |
|
823 set_line(lines,nline,"<th>"+txt10+"</th>") |
|
824 |
|
825 set_line(lines,nline,row_footer) |
|
826 ;----------------------------------------------- |
|
827 set_line(lines,nline,table_footer) |
|
828 set_line(lines,nline,footer) |
|
829 |
|
830 ; Now write to an HTML file. |
|
831 idx = ind(.not.ismissing(lines)) |
|
832 if(.not.any(ismissing(idx))) then |
|
833 asciiwrite(output_html,lines(idx)) |
|
834 else |
|
835 print ("error?") |
|
836 end if |
|
837 delete (idx) |
|
838 |
|
839 ;*************************************************************************** |
|
840 ; output plots |
|
841 ;*************************************************************************** |
|
842 output_dir = model_name+"/ameriflux" |
|
843 |
|
844 system("mv *.png *.html " + output_dir) |
|
845 ;*************************************************************************** |
|
846 end |
|
847 |