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1 ; *********************************************** |
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2 ; xy_4.ncl |
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3 ; *********************************************** |
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4 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl" |
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5 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl" |
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6 load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl" |
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7 load "/fis/cgd/cseg/people/jeff/clamp/co2/metrics_table.ncl" |
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8 ;************************************************ |
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9 begin |
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10 ;************************************************ |
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11 ; read in data: observed |
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12 ;************************************************ |
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13 diri = "/fis/cgd/cseg/people/jeff/clamp_data/co2/" |
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14 fili = "co2_globalView_98.nc" |
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15 g = addfile (diri+fili,"r") |
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16 val = g->CO2_SEAS |
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17 lon = g->LON |
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18 lat = g->LAT |
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19 sta = chartostring(g->STATION) |
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20 delete (g) |
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21 |
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22 ;print (sta(0)) |
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23 |
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24 ncase = dimsizes(lat) |
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25 ;print (ncase) |
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26 |
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27 ;************************************************************** |
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28 ; get only the lowest level at each station |
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29 ;************************************************************** |
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30 lat_tmp = lat |
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31 lat_tmp@_FillValue = 1.e+36 |
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32 |
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33 do n = 0,ncase-1 |
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34 if (.not. ismissing(lat_tmp(n))) then |
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35 indexes = ind(lat(n) .eq. lat .and. lon(n) .eq. lon) |
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36 if (dimsizes(indexes) .gt. 1) then |
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37 lat_tmp(indexes(1:)) = lat_tmp@_FillValue |
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38 end if |
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39 delete (indexes) |
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40 end if |
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41 end do |
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42 |
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43 indexes = ind(.not. ismissing(lat_tmp)) |
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44 ;print (dimsizes(indexes)) |
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45 ;print (indexes) |
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46 |
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47 lat_ob = lat(indexes) |
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48 lon_ob = lon(indexes) |
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49 val_ob = val(indexes,:) |
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50 ;printVarSummary (val_ob) |
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51 ;print (lat_ob +"/"+lon_ob) |
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52 |
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53 ;************************************************ |
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54 ; read in model data |
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55 ;************************************************ |
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56 diri2 = "/fis/cgd/cseg/people/jeff/clamp_data/model/" |
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57 ; fili2 = "b30.061m_401_425_MONS_climo_atm.nc" |
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58 fili2 = "b30.061n_1995-2004_MONS_climo_atm.nc" |
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59 |
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60 g = addfile(diri2+fili2,"r") |
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61 x = g->CO2 |
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62 xi = g->lon |
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63 yi = g->lat |
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64 xdim = dimsizes(x) |
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65 nlev = xdim(1) |
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66 y = x(:,0,:,:) |
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67 ; printVarSummary (y) |
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68 |
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69 ; get the co2 at the lowest level |
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70 y = x(:,nlev-1,:,:) |
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71 |
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72 ; change to unit of observed (u mol/mol) |
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73 ; Model_units [=] kgCO2 / kgDryAir |
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74 ; 28.966 = molecular weight of dry air |
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75 ; 44. = molecular weight of CO2 |
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76 ; u mol = 1e-6 mol |
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77 |
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78 factor = (28.966/44.) * 1e6 |
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79 y = y * factor |
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80 |
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81 y@_FillValue = 1.e36 |
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82 y@units = "u mol/mol" |
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83 ; y = where(y0 .lt. 287.,y@_FillValue,y) |
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84 ; printVarSummary (y) |
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85 ; print (min(y)+"/"+max(y)) |
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86 |
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87 ; interpolate into observed station |
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88 ; note: model is 0-360E, 90S-90N |
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89 |
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90 ; to be able to handle observation at (-89.98,-24.80) |
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91 print (yi(0)) |
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92 yi(0) = -90. |
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93 |
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94 i = ind(lon_ob .lt. 0.) |
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95 lon_ob(i) = lon_ob(i) + 360. |
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96 |
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97 yo = linint2_points_Wrap(xi,yi,y,True,lon_ob,lat_ob,0) |
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98 |
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99 val_model = yo(pts|:,time|:) |
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100 ; printVarSummary (val_model) |
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101 ; print (min(val_model)+"/"+max(val_model)) |
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102 |
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103 ; remove annual mean |
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104 val_model = val_model - conform(val_model,dim_avg(val_model),0) |
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105 ; print (min(val_model)+"/"+max(val_model)) |
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106 |
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107 nzone = 4 |
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108 do z = 0,nzone-1 |
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109 |
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110 if (z .eq. 0) then |
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111 ; maximum score for the zone, 60N-90N |
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112 zone = "60N-90N" |
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113 score_max = 5.0 |
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114 ; index of stations in this zone |
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115 ind_z = ind(lat_ob .ge. 60.) |
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116 ; print (ind_z) |
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117 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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118 ; print (val_ob(ind_z,:)) |
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119 ; print (val_model(ind_z,:)) |
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120 end if |
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121 |
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122 if (z .eq. 1) then |
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123 ; maximum score for the zone, 30N-60N |
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124 zone = "30N-60N" |
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125 score_max = 5.0 |
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126 ; index of stations in this zone |
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127 ind_z = ind(lat_ob .ge. 30. .and. lat_ob .lt. 60.) |
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128 ; print (ind_z) |
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129 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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130 ; print (val_ob(ind_z,:)) |
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131 ; print (val_model(ind_z,:)) |
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132 end if |
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133 |
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134 if (z .eq. 2) then |
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135 ; maximum score for the zone, EQ-30N |
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136 zone = "EQ-30N" |
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137 score_max = 5.0 |
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138 ; index of stations in this zone |
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139 ind_z = ind(lat_ob .ge. 0. .and. lat_ob .lt. 30.) |
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140 ; print (ind_z) |
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141 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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142 ; print (val_ob(ind_z,:)) |
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143 ; print (val_model(ind_z,:)) |
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144 end if |
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145 |
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146 if (z .eq. 3) then |
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147 ; maximum score for the zone, 90S-EQ |
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148 zone = "90S-EQ" |
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149 score_max = 5.0 |
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150 ; index of stations in this zone |
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151 ind_z = ind(lat_ob .lt. 0. ) |
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152 ; print (ind_z) |
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153 ; print (lat_ob(ind_z)+"/"+lon_ob(ind_z)) |
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154 ; print (val_ob(ind_z,:)) |
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155 ; print (val_model(ind_z,:)) |
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156 end if |
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157 |
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158 npts = dimsizes(ind_z) |
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159 print (npts) |
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160 |
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161 amp_ob = new((/npts/),float) |
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162 amp_model = new((/npts/),float) |
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163 |
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164 amp_ratio_sta = new((/npts/),float) |
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165 ccr_sta = new((/npts/),float) |
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166 M_sta = new((/npts/),float) |
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167 score_sta = new((/npts/),float) |
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168 |
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169 do n=0,npts-1 |
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170 amp_ob(n) = max(val_ob(ind_z(n),:)) - min(val_ob(ind_z(n),:)) |
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171 amp_model(n) = max(val_model(ind_z(n),:)) - min(val_model(ind_z(n),:)) |
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172 |
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173 amp_ratio_sta(n) = amp_model(n)/amp_ob(n) |
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174 ccr_sta(n) = esccr(val_ob(ind_z(n),:),val_model(ind_z(n),:),0) |
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175 M_sta(n) = 1.-abs(amp_ratio_sta(n)-1.) |
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176 score_sta(n) = (ccr_sta(n)*ccr_sta(n) + M_sta(n))*0.5 * score_max |
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177 |
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178 print (sta(ind_z(n))+"/"+lat(ind_z(n))+"/"+lon(ind_z(n))+"/"+amp_ratio_sta(n)+"/"+ccr_sta(n)+"/"+M_sta(n)+"/"+score_sta(n)) |
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179 end do |
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180 |
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181 amp_ratio_zone = avg(amp_ratio_sta) |
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182 ccr_zone = avg(ccr_sta) |
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183 M_zone = 1.- (sum(abs(amp_model-amp_ob)/(amp_model+amp_ob))/npts) |
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184 score_zone = (ccr_zone*ccr_zone + M_zone)*0.5 * score_max |
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185 |
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186 print (npts+"/"+amp_ratio_zone+"/"+ccr_zone+"/"+M_zone+"/"+score_zone) |
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187 ;**************************************************************************** |
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188 ; Cases [Model] |
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189 case = (/"Latitude","Longitude","Amplitude Ratio", \ |
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190 "Correlation Coef","M score","Combined Score"/) |
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191 nCase = dimsizes(case ) ; # of Cases [Cases] |
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192 |
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193 ; variables compared |
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194 var = sta(ind_z) |
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195 nVar = dimsizes(var) ; # of Variables |
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196 |
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197 ; arrays to be passed to diagram. It will calculate the x xnd y coordinates. |
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198 case_value = new ((/nCase, nVar/),float ) |
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199 |
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200 case_value(0,:) = (/lat(ind_z)/) |
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201 case_value(1,:) = (/lon(ind_z)/) |
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202 case_value(2,:) = (/amp_ratio_sta/) |
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203 case_value(3,:) = (/ccr_sta/) |
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204 case_value(4,:) = (/M_sta/) |
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205 case_value(5,:) = (/score_sta/) |
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206 |
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207 ;************************************************** |
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208 ; fill an array for a "metrics table" |
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209 ;************************************************** |
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210 |
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211 tt_opt = True |
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212 tt_opt@pltType= "ps" ; "eps" [default], "pdf", "ps" |
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213 ; "png", "gif" [if you have ImageMajik 'convert'] |
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214 |
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215 tt_opt@tableTitle = "Zone "+ zone |
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216 plot_name = "co2." + zone |
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217 |
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218 metrics_table(plot_name, var, case , case_value, tt_opt) |
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219 |
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220 delete (ind_z) |
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221 delete (amp_model) |
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222 delete (amp_ob) |
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223 delete (amp_ratio_sta) |
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224 delete (ccr_sta) |
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225 delete (M_sta) |
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226 delete (score_sta) |
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227 delete (var) |
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228 delete (case_value) |
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229 end do |
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230 end |