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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 ;************************************************ |
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34 ; read model data |
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35 ;************************************************ |
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36 |
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37 ; model_name = "i01.10cn" |
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38 model_name = "i01.10casa" |
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39 |
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40 dirm = "/fis/cgd/cseg/people/jeff/surface_data/" |
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41 film = "lnd_T42.nc" |
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42 fm = addfile(dirm+film,"r") |
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43 |
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44 xm = fm->lon |
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45 ym = fm->lat |
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46 ;------------------------------------------------ |
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47 nlat = dimsizes(ym) |
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48 nlon = dimsizes(xm) |
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49 |
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50 ; for 4 fields, 12-monthly |
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51 nmon = 12 |
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52 nfield = 4 |
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53 |
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54 data_mod0 = new ((/nfield,nmon,nlat,nlon/),float) |
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55 |
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56 ; change to unit of observed (u mol/m2/s) |
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57 ; Model_units [=] gC/m2/s |
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58 ; 12. = molecular weight of C |
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59 ; u mol = 1e-6 mol |
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60 factor = 1e6 /12. |
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61 |
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62 ENERGY ="new" |
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63 |
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64 ;************************************************ |
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65 ; read data: observed |
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66 ;************************************************ |
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67 |
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68 station = (/"BOREAS_NSA_OBS" \ |
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69 ,"CastelPorziano" \ |
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70 ,"Hyytiala" \ |
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71 ,"Kaamanen" \ |
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72 ,"LBA_Tapajos_KM67" \ |
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73 ,"Lethbridge" \ |
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74 ,"Tharandt" \ |
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75 ,"Vielsalm" \ |
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76 /) |
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77 |
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78 year_ob = (/"1994-2004" \ |
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79 ,"1997-2003" \ |
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80 ,"1996-2003" \ |
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81 ,"2000-2003" \ |
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82 ,"2002-2005" \ |
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83 ,"1999-2004" \ |
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84 ,"1996-2003" \ |
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85 ,"1998-2003" \ |
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86 /) |
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87 |
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88 field = (/"CO2 Flux" \ |
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89 ,"Net Radiation" \ |
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90 ,"Latent Heat" \ |
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91 ,"Sensible Heat" \ |
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92 /) |
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93 |
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94 nstation = dimsizes(station) |
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95 nmon = 12 |
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96 nfield = dimsizes(field) |
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97 |
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98 data_mod = new ((/nstation, nfield, nmon/),float) |
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99 data_ob = new ((/nstation, nfield, nmon/),float) |
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100 lat_ob = new ((/nstation/),float) |
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101 lon_ob = new ((/nstation/),float) |
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102 |
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103 diro_root = "/fis/cgd/cseg/people/jeff/clamp_data/fluxnet/" |
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104 dirm_root = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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105 |
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106 do n = 0,nstation-1 |
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107 |
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108 ;------------------------------------------------- |
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109 ; get ob data |
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110 |
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111 diro = diro_root + station(n)+"/" |
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112 filo = station(n)+"_"+year_ob(n)+"_monthly.nc" |
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113 fo = addfile (diro+filo,"r") |
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114 |
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115 print (filo) |
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116 |
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117 lon_ob(n) = fo->lon |
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118 lat_ob(n) = fo->lat |
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119 |
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120 data = fo->CO2_FLUX |
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121 data_ob(n,0,:) = dim_avg(data(month|:,year|:)) |
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122 delete (data) |
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123 |
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124 data = fo->RAD_FLUX |
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125 data_ob(n,1,:) = dim_avg(data(month|:,year|:)) |
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126 delete (data) |
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127 |
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128 data = fo->LH_FLUX |
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129 data_ob(n,2,:) = dim_avg(data(month|:,year|:)) |
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130 delete (data) |
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131 |
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132 data = fo->SH_FLUX |
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133 data_ob(n,3,:) = dim_avg(data(month|:,year|:)) |
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134 delete (data) |
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135 |
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136 delete (fo) |
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137 ;--------------------------------------------------- |
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138 ; get model data |
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139 |
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140 film = model_name+"_"+year_ob(n)+"_MONS_climo.nc" |
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141 fm = addfile (dirm_root+film,"r") |
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142 |
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143 print (film) |
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144 |
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145 if (ENERGY .eq. "old") then |
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146 |
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147 data = fm->NEE |
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148 data_mod0(0,:,:,:) = data(:,:,:) * factor |
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149 delete (data) |
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150 |
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151 ; data = fm->LATENT |
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152 data1 = fm->FCEV |
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153 data2 = fm->FCTR |
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154 data3 = fm->FGEV |
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155 data_mod0(2,:,:,:) = data1(:,:,:)+data2(:,:,:)+data3(:,:,:) |
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156 delete (data1) |
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157 delete (data2) |
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158 delete (data3) |
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159 |
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160 ; data = fm->SENSIBLE |
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161 data = fm->FSH |
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162 data_mod0(3,:,:,:) = data(:,:,:) |
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163 delete (data) |
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164 |
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165 ; data = fm->NETRAD |
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166 data1 = fm->FSA |
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167 data2 = fm->FIRA |
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168 data_mod0(1,:,:,:) = data1(:,:,:)-data2(:,:,:)-data_mod0(2,:,:,:)-data_mod0(3,:,:,:) |
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169 delete (data1) |
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170 delete (data2) |
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171 |
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172 else |
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173 |
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174 data = fm->NEE |
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175 data_mod0(0,:,:,:) = data(:,:,:) * factor |
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176 delete (data) |
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177 |
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178 data = fm->NETRAD |
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179 data_mod0(1,:,:,:) = data(:,:,:) |
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180 delete (data) |
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181 |
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182 data = fm->LATENT |
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183 data_mod0(2,:,:,:) = data(:,:,:) |
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184 delete (data) |
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185 |
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186 ; data = fm->SENSIBLE |
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187 data = fm->FSH |
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188 data_mod0(3,:,:,:) = data(:,:,:) |
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189 delete (data) |
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190 end if |
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191 |
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192 delete (fm) |
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193 |
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194 ;************************************************************ |
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195 ; interpolate model data into observed station |
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196 ; note: model is 0-360E, 90S-90N |
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197 ;************************************************************ |
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198 |
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199 ; to be able to handle observation at (-89.98,-24.80) |
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200 ym(0) = -90. |
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201 |
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202 yy = linint2_points_Wrap(xm,ym,data_mod0,True,lon_ob(n),lat_ob(n),0) |
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203 |
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204 ; print (yy) |
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205 |
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206 data_mod(n,:,:) = yy(:,:,0) |
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207 |
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208 delete (yy) |
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209 |
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210 end do |
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211 ;************************************************************ |
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212 ; compute correlation coef and M score |
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213 ;************************************************************ |
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214 |
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215 score_max = 5. |
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216 |
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217 ccr = new ((/nstation, nfield/),float) |
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218 M_score = new ((/nstation, nfield/),float) |
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219 |
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220 do n=0,nstation-1 |
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221 do m=0,nfield-1 |
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222 ccr(n,m) = esccr(data_ob(n,m,:),data_mod(n,m,:),0) |
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223 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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224 M_score(n,m) = (1. -(bias/nmon)) * score_max |
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225 end do |
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226 end do |
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227 |
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228 M_co2 = avg(M_score(:,0)) |
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229 M_rad = avg(M_score(:,1)) |
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230 M_lh = avg(M_score(:,2)) |
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231 M_sh = avg(M_score(:,3)) |
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232 M_all = M_co2+ M_rad +M_lh + M_sh |
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233 |
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234 M_energy_co2 = sprintf("%.2f", M_co2) |
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235 M_energy_rad = sprintf("%.2f", M_rad) |
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236 M_energy_lh = sprintf("%.2f", M_lh ) |
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237 M_energy_sh = sprintf("%.2f", M_sh ) |
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238 M_energy_all = sprintf("%.2f", M_all) |
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239 |
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240 ;******************************************************************* |
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241 ; for station line plot |
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242 ;******************************************************************* |
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243 |
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244 ; for x-axis in xyplot |
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245 mon = ispan(1,12,1) |
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246 mon@long_name = "month" |
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247 |
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248 res = True ; plot mods desired |
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249 res@xyLineThicknesses = (/2.0,2.0/) ; make 2nd lines thicker |
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250 res@xyLineColors = (/"blue","red"/) ; line color (ob,model) |
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251 ;------------------------------------------------------------------------- |
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252 ; Add a boxed legend using the more simple method |
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253 |
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254 res@pmLegendDisplayMode = "Always" |
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255 ; res@pmLegendWidthF = 0.1 |
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256 res@pmLegendWidthF = 0.08 |
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257 res@pmLegendHeightF = 0.06 |
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258 ; res@pmLegendOrthogonalPosF = -1.17 |
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259 ; res@pmLegendOrthogonalPosF = -1.00 ;(downward) |
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260 res@pmLegendOrthogonalPosF = -0.30 ;(downward) |
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261 |
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262 ; res@pmLegendParallelPosF = 0.18 |
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263 res@pmLegendParallelPosF = 0.23 ;(rightward) |
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264 |
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265 ; res@lgPerimOn = False |
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266 res@lgLabelFontHeightF = 0.015 |
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267 res@xyExplicitLegendLabels = (/"observed",model_name/) |
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268 ;------------------------------------------------------------------- |
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269 ; for panel plot |
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270 res@gsnFrame = False ; Do not draw plot |
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271 res@gsnDraw = False ; Do not advance frame |
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272 |
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273 pres = True ; panel plot mods desired |
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274 pres@gsnPanelYWhiteSpacePercent = 5 ; increase white space around |
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275 ; indiv. plots in panel |
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276 pres@gsnMaximize = True ; fill the page |
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277 ;------------------------------------------------------------------- |
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278 |
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279 plot_data = new((/2,12/),float) |
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280 plot_data!0 = "case" |
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281 plot_data!1 = "month" |
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282 |
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283 do n = 0,nstation-1 |
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284 ;---------------------------- |
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285 ; for observed |
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286 |
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287 plot_name = station(n)+"_ob" |
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288 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
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289 res@tiMainString = title |
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290 |
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291 wks = gsn_open_wks (plot_type,plot_name) |
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292 plot=new(4,graphic) ; create graphic array |
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293 |
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294 plot_data(0,:) = (/data_ob (n,0,:)/) |
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295 plot_data@long_name = field(0) |
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296 plot(0)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 1 |
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297 |
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298 plot_data(0,:) = (/data_ob (n,1,:)/) |
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299 plot_data@long_name = field(1) |
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300 plot(1)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 2 |
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301 |
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302 plot_data(0,:) = (/data_ob (n,2,:)/) |
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303 plot_data@long_name = field(2) |
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304 plot(2)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 3 |
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305 |
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306 plot_data(0,:) = (/data_ob (n,3,:)/) |
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307 plot_data@long_name = field(3) |
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308 plot(3)=gsn_csm_xy(wks,mon,plot_data(0,:),res) ; create plot 4 |
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309 |
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310 gsn_panel(wks,plot,(/2,2/),pres) ; create panel plot |
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311 |
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312 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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313 "rm "+plot_name+"."+plot_type) |
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314 |
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315 clear (wks) |
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316 delete (plot) |
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317 ;---------------------------- |
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318 ; for model_vs_ob |
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319 |
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320 plot_name = station(n)+"_model_vs_ob" |
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321 title = station(n)+"("+sprintf("%5.2f",lat_ob(n))+","+sprintf("%5.2f",lon_ob(n))+")" |
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322 res@tiMainString = title |
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323 |
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324 wks = gsn_open_wks (plot_type,plot_name) |
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325 plot=new(4,graphic) ; create graphic array |
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326 |
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327 plot_data(0,:) = (/data_ob (n,0,:)/) |
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328 plot_data(1,:) = (/data_mod(n,0,:)/) |
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329 plot_data@long_name = field(0) |
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330 plot(0)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 1 |
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331 |
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332 plot_data(0,:) = (/data_ob (n,1,:)/) |
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333 plot_data(1,:) = (/data_mod(n,1,:)/) |
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334 plot_data@long_name = field(1) |
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335 plot(1)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 2 |
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336 |
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337 plot_data(0,:) = (/data_ob (n,2,:)/) |
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338 plot_data(1,:) = (/data_mod(n,2,:)/) |
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339 plot_data@long_name = field(2) |
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340 plot(2)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 3 |
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341 |
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342 plot_data(0,:) = (/data_ob (n,3,:)/) |
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343 plot_data(1,:) = (/data_mod(n,3,:)/) |
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344 plot_data@long_name = field(3) |
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345 plot(3)=gsn_csm_xy(wks,mon,plot_data,res) ; create plot 4 |
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346 |
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347 gsn_panel(wks,plot,(/2,2/),pres) ; create panel plot |
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348 |
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349 system("convert "+plot_name+"."+plot_type+" "+plot_name+"."+plot_type_new+";"+ \ |
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350 "rm "+plot_name+"."+plot_type) |
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351 |
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352 clear (wks) |
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353 delete (plot) |
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354 end do |
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355 |
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356 ;******************************************************************* |
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357 ; html table of site: observed |
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358 ;******************************************************************* |
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359 output_html = "line_ob.html" |
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360 |
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361 header = (/"<HTML>" \ |
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362 ,"<HEAD>" \ |
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363 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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364 ,"</HEAD>" \ |
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365 ,"<H1>Energy at Site: Observation</H1>" \ |
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366 /) |
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367 footer = "</HTML>" |
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368 |
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369 table_header = (/ \ |
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370 "<table border=1 cellspacing=0 cellpadding=3 width=60%>" \ |
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371 ,"<tr>" \ |
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372 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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373 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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374 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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375 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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376 ,"</tr>" \ |
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377 /) |
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378 table_footer = "</table>" |
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379 row_header = "<tr>" |
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380 row_footer = "</tr>" |
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381 |
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382 lines = new(50000,string) |
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383 nline = 0 |
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384 |
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385 set_line(lines,nline,header) |
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386 set_line(lines,nline,table_header) |
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387 ;----------------------------------------------- |
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388 ; row of table |
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389 |
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390 do n = 0,nstation-1 |
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391 set_line(lines,nline,row_header) |
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392 |
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393 txt0 = station(n) |
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394 txt1 = sprintf("%5.2f", lat_ob(n)) |
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395 txt2 = sprintf("%5.2f", lon_ob(n)) |
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396 txt3 = year_ob(n) |
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397 |
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398 set_line(lines,nline,"<th><a href="+txt0+"_ob.png>"+txt0+"</a></th>") |
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399 set_line(lines,nline,"<th>"+txt1+"</th>") |
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400 set_line(lines,nline,"<th>"+txt2+"</th>") |
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401 set_line(lines,nline,"<th>"+txt3+"</th>") |
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402 |
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403 set_line(lines,nline,row_footer) |
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404 end do |
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405 ;----------------------------------------------- |
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406 set_line(lines,nline,table_footer) |
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407 set_line(lines,nline,footer) |
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408 |
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409 ; Now write to an HTML file. |
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410 idx = ind(.not.ismissing(lines)) |
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411 if(.not.any(ismissing(idx))) then |
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412 asciiwrite(output_html,lines(idx)) |
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413 else |
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414 print ("error?") |
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415 end if |
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416 delete (idx) |
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417 |
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418 ;******************************************************************* |
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419 ; score and line table : model vs observed |
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420 ;******************************************************************* |
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421 output_html = "score+line_vs_ob.html" |
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422 |
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423 header = (/"<HTML>" \ |
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424 ,"<HEAD>" \ |
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425 ,"<TITLE>CLAMP metrics</TITLE>" \ |
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426 ,"</HEAD>" \ |
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427 ,"<H1>Energy at Site: Model "+model_name+"</H1>" \ |
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428 /) |
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429 footer = "</HTML>" |
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430 |
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431 delete (table_header) |
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432 table_header = (/ \ |
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433 "<table border=1 cellspacing=0 cellpadding=3 width=100%>" \ |
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434 ,"<tr>" \ |
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435 ," <th bgcolor=DDDDDD >Site Name</th>" \ |
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436 ," <th bgcolor=DDDDDD >Latitude</th>" \ |
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437 ," <th bgcolor=DDDDDD >Longitude</th>" \ |
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438 ," <th bgcolor=DDDDDD >Observed</th>" \ |
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439 ," <th bgcolor=DDDDDD >CO2 Flux</th>" \ |
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440 ," <th bgcolor=DDDDDD >Net Radiation</th>" \ |
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441 ," <th bgcolor=DDDDDD >Latent Heat</th>" \ |
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442 ," <th bgcolor=DDDDDD >Sensible Heat</th>" \ |
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443 ," <th bgcolor=DDDDDD >Average</th>" \ |
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444 ,"</tr>" \ |
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445 /) |
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446 table_footer = "</table>" |
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447 row_header = "<tr>" |
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448 row_footer = "</tr>" |
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449 |
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450 lines = new(50000,string) |
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451 nline = 0 |
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452 |
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453 set_line(lines,nline,header) |
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454 set_line(lines,nline,table_header) |
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455 ;----------------------------------------------- |
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456 ; row of table |
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457 |
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458 do n = 0,nstation-1 |
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459 set_line(lines,nline,row_header) |
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460 |
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461 txt0 = station(n) |
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462 txt1 = sprintf("%5.2f", lat_ob(n)) |
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463 txt2 = sprintf("%5.2f", lon_ob(n)) |
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464 txt3 = year_ob(n) |
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465 txt4 = sprintf("%5.2f", M_score(n,0)) |
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466 txt5 = sprintf("%5.2f", M_score(n,1)) |
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467 txt6 = sprintf("%5.2f", M_score(n,2)) |
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468 txt7 = sprintf("%5.2f", M_score(n,3)) |
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469 txt8 = sprintf("%5.2f", avg(M_score(n,:))) |
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470 |
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471 set_line(lines,nline,"<th><a href="+txt0+"_model_vs_ob.png>"+txt0+"</a></th>") |
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472 set_line(lines,nline,"<th>"+txt1+"</th>") |
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473 set_line(lines,nline,"<th>"+txt2+"</th>") |
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474 set_line(lines,nline,"<th>"+txt3+"</th>") |
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475 set_line(lines,nline,"<th>"+txt4+"</th>") |
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476 set_line(lines,nline,"<th>"+txt5+"</th>") |
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477 set_line(lines,nline,"<th>"+txt6+"</th>") |
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478 set_line(lines,nline,"<th>"+txt7+"</th>") |
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479 set_line(lines,nline,"<th>"+txt8+"</th>") |
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480 |
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481 set_line(lines,nline,row_footer) |
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482 end do |
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483 |
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484 ; last row, summary |
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485 set_line(lines,nline,row_header) |
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486 |
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487 txt0 = "All_"+sprintf("%.0f", nstation) |
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488 txt1 = "-" |
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489 txt2 = "-" |
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490 txt3 = "-" |
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491 txt4 = M_energy_co2 |
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492 txt5 = M_energy_rad |
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493 txt6 = M_energy_lh |
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494 txt7 = M_energy_sh |
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495 txt8 = M_energy_all |
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496 |
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497 set_line(lines,nline,"<th>"+txt0+"</th>") |
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498 set_line(lines,nline,"<th>"+txt1+"</th>") |
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499 set_line(lines,nline,"<th>"+txt2+"</th>") |
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500 set_line(lines,nline,"<th>"+txt3+"</th>") |
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501 set_line(lines,nline,"<th>"+txt4+"</th>") |
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502 set_line(lines,nline,"<th>"+txt5+"</th>") |
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503 set_line(lines,nline,"<th>"+txt6+"</th>") |
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504 set_line(lines,nline,"<th>"+txt7+"</th>") |
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505 set_line(lines,nline,"<th>"+txt8+"</th>") |
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506 |
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507 set_line(lines,nline,row_footer) |
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508 ;----------------------------------------------- |
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509 set_line(lines,nline,table_footer) |
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510 set_line(lines,nline,footer) |
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511 |
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512 ; Now write to an HTML file. |
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513 idx = ind(.not.ismissing(lines)) |
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514 if(.not.any(ismissing(idx))) then |
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515 asciiwrite(output_html,lines(idx)) |
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516 else |
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517 print ("error?") |
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518 end if |
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519 delete (idx) |
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520 |
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521 ;*************************************************************************** |
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522 ; output plots |
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523 ;*************************************************************************** |
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524 output_dir = model_name+"/energy" |
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525 |
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526 system("mv *.png *.html " + output_dir) |
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527 ;*************************************************************************** |
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528 end |