1 | ;+ |
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2 | ; |
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3 | ; .. _flux_evaluation_tpr_map.pro: |
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4 | ; |
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5 | ; =========================== |
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6 | ; flux_evaluation_tpr_map.pro |
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7 | ; =========================== |
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8 | ; |
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9 | ; DESCRIPTION |
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10 | ; =========== |
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11 | ; |
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12 | ; SEE ALSO |
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13 | ; ======== |
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14 | ; |
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15 | ; :ref:`project_profile.sh` |
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16 | ; :ref:`project_init.pro` |
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17 | ; :ref:`cm_project.pro` |
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18 | ; |
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19 | ; TODO |
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20 | ; ==== |
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21 | ; |
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22 | ; make it work : need output of flux_evaluation_tpr_timeseries.pro |
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23 | ; |
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24 | ; uncomment var |
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25 | ; |
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26 | ; coding rules |
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27 | ; |
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28 | ; EXAMPLES |
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29 | ; ======== |
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30 | ; |
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31 | ; .. code-block:: idl |
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32 | ; |
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33 | ; date1 = 20000101L |
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34 | ; date2 = 20091231L |
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35 | ; flux_evaluation_tpr_map, date1, date2 |
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36 | ; |
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37 | ; EVOLUTIONS |
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38 | ; ========== |
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39 | ; |
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40 | ; $Id$ |
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41 | ; |
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42 | ; $URL$ |
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43 | ; |
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44 | ; - fplod 20111130T142224Z cratos (Linux) |
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45 | ; |
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46 | ; * try to make it work on my account on cratos |
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47 | ; * remove x_site_location and x_site_location because already exist |
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48 | ; |
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49 | ;- |
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50 | pro flux_evaluation_tpr_map, $ |
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51 | ; var, $ ;; flux variable (swr, lwr, lhf, shf) to calculate the statistics |
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52 | date1, $ ;; start date (in Julian date. eg. 20000101) |
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53 | date2 ;; end date (in Julian date eg. 20091231) |
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54 | |
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55 | @common |
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56 | @cm_project |
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57 | reinitplt, /z,/invert |
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58 | key_portrait = 1 |
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59 | openps, FILENAME = project_od_env+'flux_evaluation_tpr_map.ps' |
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60 | ; |
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61 | ;; part to change |
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62 | |
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63 | min_obs=10. ;; this will allow to calculate statistics at locations with more than 180. valid observation |
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64 | |
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65 | ;; choose the appropriate min and max values for the following. |
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66 | |
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67 | bias_mi=-5 & bias_ma=5 & bias_int=0.5 |
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68 | std_mi=0.5 & std_ma=1.5 & std_int=0.05 |
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69 | rmsd_mi=0 & rmsd_ma=15 & rmsd_int=1.5 |
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70 | cor_mi=0.5 & cor_ma=1. & cor_int=0.025 |
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71 | |
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72 | ;; TPR locations. This needs to be updated with time since more locations are added to the array. |
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73 | |
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74 | sitelist=['5n165e','8s67e','12s55e', '8s55e', '8s80.5e', '1.5s80.5e', '0n80.5e', '1.5n80.5e', '1.5s90e', $ |
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75 | '0n90e', '1.5n90e', '4n90e','8n90e','12n90e', '15n90e', '5s95e', $ |
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76 | '8s165e', '8s180w', '8s155w', '8s125w', '8s110w', '8s95w', '5s156e', '5s165e', '5s180w', '5s170w', $ |
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77 | '5s155w', '5s140w', '5s125w', '5s110w', '5s95w', '2s156e', '2s165e', '2s180w', '2s170w', '2s155w', '2s140w', $ |
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78 | '2s125w', '2s110w', '2s95w', '0n147e', '0n156e', '0n165e', '0n180w', '0n170w', '0n155w', '0n140w', '0n125w', $ |
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79 | '0n110w', '0n95w', '2n147e', '2n156e', '2n165e', '2n180w', '2n170w', '2n155w', '2n140w', '2n125w', '2n110w', $ |
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80 | '2n95w', '5n147e', '5n156e', '5n170w', '5n155w', '5n140w', '5n125w', '5n110w', '5n95w', $ |
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81 | '8n156e', '8n165e', '8n180w', '8n170w', '9n140w', '8n125w', '8n110w', '8n95w', $ |
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82 | '0n0e', '0n10w', '0n23w', '0n35w', '10s10w', '12n23w', '12n38w', '14s32w', '15n38w', '19s34w', '20n38w', $ |
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83 | '21n23w', '4n23w', '4n38w', '6s10w', '8n38w', '8s30w'] |
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84 | |
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85 | ;; This program will create the following text files with statistics of respective variables |
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86 | |
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87 | close,/all |
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88 | |
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89 | erase |
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90 | ;; PLOTTING THE MAPS |
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91 | |
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92 | fi = project_od_env + 'flux_stat.txt' |
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93 | res=read_ascii(fi,data_start=1) |
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94 | ff=res.field1 |
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95 | |
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96 | lat=reform(ff(0,*)) |
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97 | lon=reform(ff(1,*)) |
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98 | cor=reform(ff(2,*)) |
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99 | bias=reform(ff(3,*)) |
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100 | std=reform(ff(4,*)) |
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101 | rmsd=reform(ff(5,*)) |
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102 | |
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103 | corr_t=total(cor)/n_elements(cor) |
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104 | bias_t=total(bias)/n_elements(bias) |
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105 | std_t=total(std)/n_elements(std) |
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106 | rmsd_t=total(rmsd)/n_elements(rmsd) |
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107 | cstat=string(corr_t, bias_t, std_t, rmsd_t, format='(f4.2,3x,f7.2,3x,f4.2,3x,f5.2)') |
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108 | |
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109 | file= project_id_env + 'mask_oaflux_30N30S.nc' |
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110 | initncdf, file |
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111 | domdef, 30,390,-30,30 |
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112 | msk=ncdf_lec(file,var='msk') |
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113 | marge1=[0,0,-5,0] |
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114 | |
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115 | plt, msk,realcont=2,/nocont,/nofill,xminor=1,yminor=1,lct=64,cor_mi, cor_ma,int=cor_int, $ |
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116 | title='1) Correlation ', subtitle='', small=[1,4,1],/rempl,marge=marge1 |
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117 | |
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118 | NN=n_elements(lat) |
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119 | |
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120 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5],/fill |
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121 | |
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122 | for n=0,NN-1 do begin |
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123 | x=lon(n) |
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124 | y=lat(n) |
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125 | c=cor(n) |
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126 | cmi=cor_mi & cma=cor_ma & dc=cma-cmi |
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127 | col=((10+244*(c-cmi)/dc) > 10) < 254 |
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128 | plots, x,y,psym=8,symsize=1.5,color=col |
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129 | endfor |
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130 | |
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131 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5] |
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132 | |
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133 | for n=0,NN-1 do begin |
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134 | x=lon(n) |
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135 | y=lat(n) |
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136 | c=cor(n) |
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137 | plots, x,y,psym=8,symsize=1.5,color=0 |
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138 | endfor |
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139 | |
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140 | plt,msk,realcont=2,/nocont,/nofill,xminor=1,yminor=1,lct=64,bias_mi, bias_ma, int=bias_int,/noer, marge=marge1, $ |
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141 | title='2) Mean bias', subtitle='', small=[1,4,2],/rempl |
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142 | |
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143 | NN=n_elements(lat) |
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144 | |
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145 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5],/fill |
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146 | |
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147 | for n=0,NN-1 do begin |
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148 | x=lon(n) |
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149 | y=lat(n) |
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150 | c=bias(n) |
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151 | cmi=bias_mi & cma=bias_ma & dc=cma-cmi |
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152 | col=((10+244*(c-cmi)/dc) > 10) < 254 |
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153 | plots, x,y,psym=8,symsize=1.5,color=col |
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154 | endfor |
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155 | |
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156 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5] |
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157 | |
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158 | for n=0,NN-1 do begin |
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159 | x=lon(n) |
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160 | y=lat(n) |
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161 | c=bias(n) |
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162 | plots, x,y,psym=8,symsize=1.5,color=0 |
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163 | endfor |
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164 | plt,msk,realcont=2,/nocont,/nofill,xminor=1,yminor=1,lct=64,rmsd_mi, rmsd_ma, int=rmsd_int,/noer, $ |
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165 | title='3) RMSD ', subtitle='', small=[1,4,3],/rempl, marge=marge1 |
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166 | |
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167 | NN=n_elements(lat) |
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168 | |
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169 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5],/fill |
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170 | |
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171 | for n=0,NN-1 do begin |
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172 | x=lon(n) |
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173 | y=lat(n) |
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174 | c=rmsd(n) |
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175 | cmi=rmsd_mi & cma=rmsd_ma & dc=cma-cmi |
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176 | col=((10+244*(c-cmi)/dc) > 10) < 254 |
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177 | plots, x,y,psym=8,symsize=1.5,color=col |
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178 | endfor |
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179 | |
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180 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5] |
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181 | for n=0,NN-1 do begin |
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182 | x=lon(n) |
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183 | y=lat(n) |
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184 | c=rmsd(n) |
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185 | plots, x,y,psym=8,symsize=1.5,color=0 |
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186 | endfor |
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187 | plt,msk,realcont=2,/nocont,/nofill,xminor=1,yminor=1,lct=64,std_mi, std_ma, int=std_int,/noer, $ |
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188 | title='4) STD ratio', subtitle='', small=[1,4,4],/rempl, marge=marge1 |
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189 | |
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190 | NN=n_elements(lat) |
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191 | |
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192 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5],/fill |
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193 | |
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194 | for n=0,NN-1 do begin |
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195 | x=lon(n) |
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196 | y=lat(n) |
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197 | c=std(n) |
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198 | cmi=std_mi & cma=std_ma & dc=cma-cmi |
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199 | col=((10+244*(c-cmi)/dc) > 10) < 254 |
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200 | plots, x,y,psym=8,symsize=1.5,color=col |
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201 | endfor |
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202 | |
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203 | usersym, [-.5,.5,.5,-.5,-.5],[-.5,-.5,.5,.5,-.5] |
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204 | |
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205 | for n=0,NN-1 do begin |
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206 | x=lon(n) |
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207 | y=lat(n) |
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208 | c=std(n) |
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209 | plots, x,y,psym=8,symsize=1.5,color=0 |
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210 | endfor |
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211 | |
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212 | erase |
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213 | ;; computing the pdf |
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214 | |
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215 | x=mooring & y=product |
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216 | mio=-50 & mao=300 & inx=25 & nx=(mao-mio)/inx+1l & xx=mio+indgen(nx)*inx |
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217 | mis=-50 & mas=300 & iny=25 & ny=(mas-mis)/iny+1l & yy=mis+indgen(ny)*iny |
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218 | pdf=fltarr(nx,ny) |
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219 | for i=0, nx-2 do begin |
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220 | for j=0,ny-2 do begin |
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221 | xmi=xx(i) & xma=xx(i+1) |
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222 | ymi=yy(j) & yma=yy(j+1) |
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223 | ind=where((x ge xmi) and (x le xma) and (y ge ymi) and (y le yma)) |
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224 | pdf(i,j)=float(n_elements(ind)) |
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225 | ; print, xmi,xma,ymi,yma,n_elements(ind) |
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226 | endfor |
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227 | endfor |
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228 | |
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229 | scontour, pdf,xx,yy ,small=[2,1,1],/noer, charsize=1, nlevels=30,/fill, $ |
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230 | xtitle='TAO Flux', ytitle='Product', title='PDF' |
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231 | xyouts, 0, -150, cstat, charsize=1.2 |
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232 | |
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233 | closeps |
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234 | |
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235 | end |
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