1 | ;--------------------------- |
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2 | ; Reading Data |
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3 | ;--------------------------- |
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4 | FUNCTION data_read, cmd, hotyp, plttyp, dimplot, iover, ALL_DATA = all_data, _extra = ex |
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5 | |
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6 | @common |
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7 | @com_eg |
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8 | |
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9 | |
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10 | ; same data as previous read ? |
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11 | |
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12 | read = 1 |
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13 | |
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14 | IF cmd.var EQ cmd_prev.var AND cmd.grid EQ cmd_prev.grid AND cmd.plt EQ cmd_prev.plt AND cmd.timave EQ cmd_prev.timave AND cmd.date1 EQ cmd_prev.date1 THEN BEGIN |
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15 | IF hotyp NE '-' THEN BEGIN |
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16 | ; time serie |
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17 | IF cmd.spec EQ cmd_prev.spec THEN BEGIN |
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18 | fldr = field |
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19 | read = 0 |
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20 | ENDIF ELSE read = 1 |
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21 | |
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22 | ENDIF ELSE BEGIN |
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23 | read = 1 |
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24 | IF strpos(cmd.plt, '#') NE -1 THEN BEGIN |
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25 | IF cmd.plt EQ cmd_prev.plt THEN BEGIN ; not same zoom |
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26 | fldr = field |
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27 | read = 0 |
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28 | ENDIF ELSE begin |
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29 | read = 1 |
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30 | ENDELSE |
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31 | ENDIF |
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32 | ENDELSE |
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33 | ENDIF ELSE read = 1 |
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34 | |
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35 | read = 1 |
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36 | |
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37 | IF read EQ 1 THEN BEGIN |
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38 | |
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39 | cmd_prev = cmd |
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40 | |
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41 | ; difference from cmd.exp ? division from exp ? |
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42 | |
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43 | diff_from_exp = 0 |
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44 | div_from_exp = 0 |
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45 | |
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46 | ; argvar = str_sep(cmd.exp,'-') |
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47 | |
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48 | IF strpos(cmd.exp, '-') NE -1 THEN BEGIN |
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49 | argvar = strsplit(cmd.exp,'-', /EXTRACT) |
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50 | ENDIF ELSE IF strpos(cmd.exp, '/') NE -1 THEN BEGIN |
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51 | argvar = strsplit(cmd.exp,'/', /EXTRACT) |
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52 | ENDIF ELSE argvar = cmd.exp |
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53 | |
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54 | IF n_elements(argvar) EQ 2 THEN BEGIN |
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55 | IF strpos(cmd.exp, '-') NE -1 THEN BEGIN |
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56 | diff_from_exp = 1 |
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57 | exp_init = cmd.exp |
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58 | cmd.exp = argvar[0] |
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59 | ENDIF |
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60 | IF strpos(cmd.exp, '/') NE -1 THEN BEGIN |
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61 | div_from_exp = 1 |
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62 | exp_init = cmd.exp |
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63 | cmd.exp = argvar[0] |
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64 | ENDIF |
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65 | ENDIF |
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66 | varexp = cmd.exp |
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67 | |
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68 | ; define data base |
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69 | |
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70 | ncdf_db = def_dbase(cmd.exp) |
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71 | |
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72 | ; define file name |
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73 | |
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74 | def_file_name, cmd, ncdf_db, file_name, delta_t1 |
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75 | |
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76 | ; get file if remote |
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77 | |
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78 | get_file, file_name, ncdf_db |
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79 | |
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80 | ; read grid from file if require (@<grid> option) |
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81 | |
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82 | IF read_grid_from_file EQ 1 THEN BEGIN |
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83 | mesh_from_file, cmd.grid, file_name, ncdf_db, cmd.var |
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84 | key_shift_map = key_shift |
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85 | ENDIF |
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86 | |
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87 | ; define data domain |
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88 | |
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89 | IF hotyp NE '-' THEN BEGIN ; time serie |
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90 | ; get hovmoeller box + stride |
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91 | box_plot = def_box(cmd.plt, dimplot, legbox, time_stride) |
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92 | IF debug_w THEN print, 'box_plot for domdef in data_read = ', box_plot |
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93 | CASE n_elements(box_plot) OF |
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94 | 4: domdef, box_plot[0:3], /MEMEINDICES |
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95 | 6: domdef, box_plot[0:5], /MEMEINDICES |
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96 | ENDCASE |
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97 | ; time grid for hovmoeller |
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98 | time1 = 1+delta_t1 |
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99 | IF cmd.out EQ 'cdf' THEN nb_cycles = 1 |
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100 | timearr = compute_time(cmd.timave, cmd.date1, cmd.spec) |
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101 | jpt = timearr.count |
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102 | time2 = jpt+delta_t1 |
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103 | time = timearr.scale |
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104 | niveau = 1 |
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105 | ; print, ' Data_read, hotyp/jpt = ', hotyp, jpt |
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106 | ; print, ' Data_read, box = ', box_plot[0:3] |
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107 | ENDIF ELSE BEGIN ; single date |
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108 | jpt = 1 |
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109 | CASE strmid(cmd.timave, strlen(cmd.timave)-1, 1) OF |
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110 | 'y': time1 = delta_t1+1 |
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111 | 'm': BEGIN |
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112 | CASE strmid(cmd.timave, strlen(cmd.timave)-2, 1) OF |
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113 | 'm': time1 = delta_t1+long(strmid(cmd.date1, 0, 2)) ; mean month |
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114 | ELSE: time1 = delta_t1+1 |
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115 | ENDCASE |
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116 | END |
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117 | 'd': time1 = delta_t1+1 |
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118 | ELSE: time1 = delta_t1+1 |
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119 | ENDCASE |
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120 | time2 = time1 |
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121 | time = time1 |
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122 | print, ' Setting domdef in data_read, plt typ =', plttyp |
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123 | CASE plttyp OF |
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124 | 'plt': BEGIN |
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125 | box_plot = def_box(cmd.plt, 2, legbox, time_stride) |
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126 | IF strmid(cmd.var, 0,2) EQ 'vo' THEN BEGIN ; get right zindex for vertical |
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127 | CASE vert_type OF |
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128 | 'level':domdef,[ box_plot[0:3],vert_mean],/zindex, /MEMEINDICES |
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129 | 'z':domdef,[ box_plot[0:3],vert_mean], /MEMEINDICES |
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130 | ELSE: domdef, box_plot[0:3], /MEMEINDICES |
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131 | ENDCASE |
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132 | ENDIF ELSE BEGIN |
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133 | domdef, box_plot[0:3], /MEMEINDICES |
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134 | ENDELSE |
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135 | END |
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136 | 'pltz': BEGIN |
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137 | box_plot = def_box(cmd.plt, 2, legbox, time_stride) |
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138 | domdef, box_plot[0:3], /MEMEINDICES |
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139 | END |
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140 | 'plt1d': BEGIN |
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141 | box_plot = def_box(cmd.plt, 2, legbox, time_stride) |
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142 | domdef, box_plot[0:3], /MEMEINDICES |
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143 | END |
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144 | ELSE: domdef, /MEMEINDICES |
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145 | ENDCASE |
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146 | ENDELSE |
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147 | |
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148 | ; print, jpt, time1, time2, hotyp |
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149 | |
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150 | ; save time in common fld_att |
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151 | |
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152 | time1_r = time1 |
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153 | time2_r = time2 |
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154 | |
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155 | ; call specific read routine |
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156 | |
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157 | CASE STRMID(cmd.var, 0, 2) OF |
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158 | '@@': BEGIN |
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159 | IF debug_w THEN print, 'keyword_set(all_data) : ', keyword_set(all_data) |
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160 | fldr = macro_read(file_name, cmd.var, ncdf_db, TIME_1 = time1, TIME_2 = time2, ALL_DATA = all_data, _extra = ex) |
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161 | IF stddev_diff EQ 1 THEN fldr.origin = 'diff' |
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162 | END |
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163 | ELSE: BEGIN |
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164 | CASE plttyp OF |
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165 | 'yfx': BEGIN ; scatter plot y=f(x) |
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166 | idx = strpos(cmd.var, '=f(') |
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167 | var1 = strmid(cmd.var, 0, idx) |
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168 | fldr1 = nc_read(file_name, var1, ncdf_db, $ |
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169 | TIME_1 = time1, TIME_2 = time2, ALL_DATA = all_data, _extra = ex) |
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170 | CASE cmd.grid OF |
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171 | 'U': vargrid1 = 'U' |
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172 | 'V': vargrid1 = 'V' |
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173 | ELSE: vargrid1 = 'T' |
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174 | ENDCASE |
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175 | IF strpos(cmd.var, '=f(next)') EQ -1 THEN BEGIN ; type 1 y=f(x) on 1 line |
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176 | var2 = strmid(cmd.var, idx+3, strlen(cmd.var)-idx-4) |
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177 | fldr2 = nc_read(file_name, var2, ncdf_db, $ |
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178 | TIME_1 = time1, TIME_2 = time2, ALL_DATA = all_data, _extra = ex) |
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179 | datyp2 = datyp |
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180 | cmd2 = cmd |
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181 | sw_diffg = 0 |
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182 | vargrid2 = vargrid1 |
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183 | ENDIF ELSE BEGIN ; type 2 y=f(next) on 2 lines |
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184 | cmd2 = decode_cmd(cmdline_main, idx_main+1) |
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185 | cmd2.timave = cmd.timave |
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186 | cmd2.date1 = cmd.date1 |
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187 | cmd2.spec = cmd.spec |
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188 | datyp2 = def_dptyp(cmd2) |
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189 | ; other grid ? |
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190 | sw_diffg = 0 |
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191 | IF cmd2.grid NE cmd.grid THEN BEGIN |
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192 | sw_diffg = 1 |
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193 | jptb = jpt |
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194 | def_grid, cmd2 |
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195 | IF debug_w THEN print, 'def_grid, cmd2 dans data_read : ' |
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196 | jpt = jptb |
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197 | ENDIF |
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198 | fldr2 = data_read(cmd2, datyp2.hotyp, datyp2.plttyp, '1', '0', ALL_DATA = all_data, _extra = ex) |
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199 | var2 = cmd2.var |
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200 | print, 'Variable ', var2, ' lue sur grille ', vargrid |
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201 | jptb = jpt |
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202 | IF sw_diffg EQ 1 THEN BEGIN |
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203 | def_grid, cmd |
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204 | IF debug_w THEN print, 'def_grid, cmd dans data_read : ' |
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205 | ENDIF |
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206 | jpt = jptb |
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207 | CASE cmd2.grid OF |
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208 | 'U': vargrid2 = 'U' |
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209 | 'V': vargrid2 = 'V' |
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210 | ELSE: vargrid2 = 'T' |
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211 | ENDCASE |
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212 | ENDELSE |
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213 | ; consistency check |
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214 | IF fldr1.dim NE fldr2.dim THEN BEGIN |
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215 | print, ' *** dimension inconsistency in y=f(x) : ', cmd.var |
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216 | return, -1 |
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217 | ENDIF |
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218 | ; custom stucture for scatter plot |
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219 | fldr = {name: var1, data: fldr1.data, legend: fldr1.legend, $ |
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220 | units: fldr1.units, origin: fldr1.origin, dim: fldr1.dim, $ |
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221 | name2: var2, data2: fldr2.data, legend2: fldr2.legend, $ |
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222 | units2: fldr2.units, origin2: fldr2.origin, dim2: fldr2.dim} |
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223 | ; diff not possible yet |
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224 | IF diff_from_exp EQ 1 OR STRMID(cmd.spec, 0, 2) EQ 'd:' THEN BEGIN |
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225 | diff_from_exp = 0 |
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226 | cmd.spec = '-' |
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227 | print, ' data_read : difference in scatter plot not ready' |
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228 | ENDIF |
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229 | ; re-organise cmd.var |
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230 | cmd.var = var1 |
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231 | cmd.var2 = var2 |
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232 | |
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233 | END |
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234 | ELSE: BEGIN |
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235 | IF vecplot EQ 1 THEN BEGIN ; vectors case |
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236 | idx = strpos(cmd.var, ',') |
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237 | var1 = strmid(cmd.var, 1, idx-1) |
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238 | var2 = strmid(cmd.var, idx+1, strlen(cmd.var)-idx-2) |
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239 | ; print, var1, var2 |
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240 | ;old version file_nam = strmid(file_name, 0, strlen(file_name)-4) |
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241 | file_nam = strmid(base_file_name+base_suffix, 0, strlen(base_file_name+base_suffix)-1) |
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242 | vargrid = strmid(cmd.grid, 0, 1) |
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243 | CASE STRMID(var1, 0, 2) OF |
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244 | '@@': fldr1 = macro_read(file_name, var1, ncdf_db, TIME_1 = time1, TIME_2 = time2, _extra = ex) |
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245 | ELSE: fldr1 = nc_read(file_nam+strmid(cmd.grid, 0, 1)+suff_domain+'.nc', var1, ncdf_db, $ |
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246 | TIME_1 = time1, TIME_2 = time2, ALL_DATA = all_data, _extra = ex) |
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247 | ENDCASE |
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248 | vargrid = strmid(cmd.grid, 1, 1) |
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249 | CASE STRMID(var2, 0, 2) OF |
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250 | '@@': fldr2 = macro_read(file_name, var2, ncdf_db, TIME_1 = time1, TIME_2 = time2, _extra = ex) |
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251 | ELSE: fldr2 = nc_read(file_nam+strmid(cmd.grid, 1, 1)+suff_domain+'.nc', var2, ncdf_db, $ |
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252 | TIME_1 = time1, TIME_2 = time2, ALL_DATA = all_data, _extra = ex) |
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253 | ENDCASE |
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254 | ; consistency check |
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255 | IF fldr1.dim NE fldr2.dim THEN BEGIN |
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256 | print, ' *** dimension inconsistency in vector plot : ', cmd.var |
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257 | return, -1 |
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258 | ENDIF |
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259 | ; custom stucture for vector plot |
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260 | fldr = {name: var1, data: fldr1.data, legend: fldr1.legend, $ |
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261 | units: fldr1.units, origin: fldr1.origin, dim: fldr1.dim, $ |
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262 | name2: var2, data2: fldr2.data, legend2: fldr2.legend, $ |
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263 | units2: fldr2.units, origin2: fldr2.origin, dim2: fldr2.dim} |
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264 | IF diff_from_exp EQ 1 OR STRMID(cmd.spec, 0, 2) EQ 'd:' THEN BEGIN |
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265 | diff_from_exp = 0 |
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266 | cmd.spec = '-' |
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267 | print, ' data_read : difference in vector plot not ready' |
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268 | ENDIF |
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269 | ; re-organise cmd.var |
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270 | cmd.var = var1 |
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271 | ; cmd.grid = strmid(cmd.grid, 2, 1) |
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272 | cmd.var2 = var2 |
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273 | |
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274 | |
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275 | ENDIF ELSE BEGIN ; general case |
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276 | fldr = nc_read(file_name, cmd.var, ncdf_db, $ |
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277 | TIME_1 = time1, TIME_2 = time2, ALL_DATA = all_data, _extra = ex) |
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278 | |
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279 | ; perform mean if hovmoeller diagram is required |
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280 | ; It is absolutely necessary for the division case with |
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281 | ; a hovmoeller diagram (before performing the division) |
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282 | IF plttyp EQ 'pltt' AND div_from_exp EQ 1 THEN BEGIN |
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283 | mask_z, fldr.data, cmd, boite_pltt, dimplot, legz |
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284 | z2d = checkfield(fldr.data, plttyp, TYPE = hotyp, BOXZOOM = boite_pltt, DIREC = direc, _extra = ex) |
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285 | fldr = { name : fldr.name, data : z2d, legend : fldr.legend, units : fldr.units, $ |
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286 | origin : fldr.origin, dim : size(z2d, /N_DIMENSIONS), direc : hotyp} |
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287 | print, 'Averaging made before the call to SAXO plt routines !!!!' |
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288 | ENDIF |
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289 | ; fix |
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290 | ; idx = where(fldr.data EQ 1.00000e+20) |
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291 | ; IF idx(0) NE -1 THEN fldr.data(idx) = 0. |
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292 | ENDELSE |
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293 | END |
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294 | ENDCASE |
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295 | END |
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296 | ENDCASE |
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297 | |
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298 | ; if tkeavt, take log |
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299 | |
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300 | ; CASE cmd.var OF |
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301 | ; 'votkeavt': BEGIN |
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302 | ; idx = where(fldr.data LE valmask/10) |
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303 | ; idxm = where(fldr.data EQ valmask) |
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304 | ; fldr.data(idx) = alog10(fldr.data(idx)) |
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305 | ; ; on T grid |
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306 | ; vargrid = 'T' |
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307 | ; fldr.data = (fldr.data+shift(fldr.data, 0, 0, 1))*.5 |
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308 | ; fldr.data(idxm) = valmask |
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309 | ; END |
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310 | ; ELSE: |
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311 | ; ENDCASE |
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312 | |
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313 | |
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314 | ; density projection |
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315 | IF splot EQ 1 THEN BEGIN |
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316 | IF cmd.timave EQ '1y' AND 1 THEN BEGIN |
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317 | print, 'data_read: Constructing annual mean from monthly means...' |
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318 | cmd.timave = '1m' |
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319 | year_s = cmd.date1 |
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320 | cumulative = 0. |
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321 | FOR i = 1, 12 DO BEGIN |
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322 | IF i EQ 1 THEN cmd.date1 = year_s + '01' |
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323 | IF i EQ 2 THEN cmd.date1 = year_s + '02' |
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324 | IF i EQ 3 THEN cmd.date1 = year_s + '03' |
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325 | IF i EQ 4 THEN cmd.date1 = year_s + '04' |
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326 | IF i EQ 5 THEN cmd.date1 = year_s + '05' |
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327 | IF i EQ 6 THEN cmd.date1 = year_s + '06' |
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328 | IF i EQ 7 THEN cmd.date1 = year_s + '07' |
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329 | IF i EQ 8 THEN cmd.date1 = year_s + '08' |
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330 | IF i EQ 9 THEN cmd.date1 = year_s + '09' |
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331 | IF i EQ 10 THEN cmd.date1 = year_s + '10' |
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332 | IF i EQ 11 THEN cmd.date1 = year_s + '11' |
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333 | IF i EQ 12 THEN cmd.date1 = year_s + '12' |
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334 | print, ' Date1 = ', cmd.date1 |
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335 | sfild = fldr |
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336 | bin_sigma, cmd, sfild ;;;;;;;;;;;;;; prob |
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337 | cumulative = cumulative + sfild.data |
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338 | ENDFOR |
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339 | fldr = sfild |
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340 | fldr.data = cumulative/12. |
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341 | cmd.timave = '1y' |
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342 | cmd.date1 = year_s |
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343 | ENDIF ELSE BEGIN |
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344 | IF cmd.timave EQ '1m' AND strmid(cmd.plt, 0, 2) EQ 'st' AND really_1m_st EQ 1 THEN BEGIN |
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345 | sfild = fldr |
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346 | timedim = (size(sfild.data))[(size(sfild.data))[0]] |
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347 | fldrd = fltarr((size(sfild.data))[1],(size(sfild.data))[2], (sig_max - sig_min)/sig_del + 1, timedim) |
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348 | FOR i = 0, timedim-1 DO BEGIN |
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349 | print, 'data_read: Performing monthly bining. Indices: first, last, current = 0,', timedim-1, i |
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350 | sfild2 = {name: sfild.name, data: sfild.data(*, *, *, i), legend: sfild.legend, units: sfild.units, origin: sfild.origin, dim: sfild.dim-1} |
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351 | bin_sigma, cmd, sfild2 |
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352 | fldrd(*, *, *, i)= sfild2.data |
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353 | ENDFOR |
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354 | fldr = {name: sfild.name, data:fldrd, legend: sfild.legend, units: sfild.units, origin: sfild.origin, dim: sfild.dim} |
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355 | ENDIF ELSE BEGIN |
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356 | sfild = fldr |
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357 | bin_sigma, cmd, sfild |
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358 | fldr = sfild |
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359 | ENDELSE |
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360 | ENDELSE |
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361 | ENDIF |
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362 | |
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363 | ; modify data info if needed (actual data modification done in; trends.pro called by pltt.pro) |
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364 | |
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365 | CASE plttyp OF |
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366 | 'pltt': BEGIN |
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367 | IF run_stddev EQ 0 THEN BEGIN |
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368 | CASE strmid(cmd.trend, 0, 1) OF |
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369 | '1': fldr.origin = 'diff' |
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370 | '2': fldr.origin = 'diff' |
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371 | '3': fldr.origin = 'diff' |
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372 | '4': fldr.origin = 'diff' |
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373 | ELSE: |
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374 | ENDCASE |
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375 | ENDIF |
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376 | END |
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377 | ELSE: |
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378 | ENDCASE |
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379 | |
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380 | IF n_elements(fldr.data) EQ 1 THEN return, fldr |
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381 | |
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382 | ; Difference 2 cases : from cmd.exp or from cmd.spec |
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383 | |
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384 | |
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385 | IF diff_from_exp EQ 1 THEN BEGIN |
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386 | |
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387 | cmd.exp = argvar[1] |
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388 | print, ' remove : ', cmd.exp |
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389 | |
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390 | ; read field2 |
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391 | field2 = data_read(cmd, hotyp, plttyp, dimplot, iover, ALL_DATA = all_data, _extra = ex) |
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392 | IF n_elements(field2.data) EQ 1 THEN return, field2 |
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393 | |
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394 | ; perform difference |
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395 | |
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396 | diff = fldr.data-field2.data |
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397 | IF (where(fldr.data EQ valmask))[0] NE -1 THEN $ |
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398 | diff[where(fldr.data EQ valmask)] = valmask |
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399 | fldr.data = diff |
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400 | fldr.origin = 'diff' |
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401 | cmd.exp = exp_init |
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402 | varexp = cmd.exp |
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403 | |
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404 | ENDIF ELSE IF div_from_exp EQ 1 THEN BEGIN ; Division : 1 case |
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405 | |
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406 | cmd.exp = argvar[1] |
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407 | print, ' divide by : ', cmd.exp |
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408 | |
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409 | div = fldr.data |
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410 | |
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411 | ; read field2 |
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412 | |
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413 | field2 = data_read(cmd, hotyp, plttyp, dimplot, iover, ALL_DATA = all_data, _extra = ex) |
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414 | IF n_elements(field2.data) EQ 1 THEN return, field2 |
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415 | |
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416 | IF plttyp EQ 'pltt' THEN BEGIN |
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417 | mask_z, field2.data, cmd, boite_pltt, dimplot, legz |
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418 | z2d = checkfield(field2.data, plttyp, TYPE = hotyp, BOXZOOM = boite_pltt, DIREC = direc, _extra = ex) |
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419 | field2 = { name : field2.name, data : z2d, legend : field2.legend, units : field2.units, $ |
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420 | origin : field2.origin, dim : size(z2d, /N_DIMENSIONS), direc : hotyp} |
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421 | print, 'Averaging made before the call to SAXO plt routines !!!!' |
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422 | ENDIF |
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423 | |
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424 | ; perform division |
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425 | IF (where(field2.data EQ 0.0))[0] NE -1 THEN BEGIN |
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426 | print, 'Be careful some data are null. They will be masked ! ' |
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427 | idx0 = where(field2.data EQ 0.0) |
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428 | field2.data(idx0) = valmask |
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429 | fldr.data(idx0) = valmask |
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430 | div(idx0) = valmask |
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431 | ENDIF |
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432 | |
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433 | idx = where(field2.data NE valmask) |
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434 | div(idx) = fldr.data(idx) / field2.data(idx) |
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435 | |
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436 | fldr.data = div |
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437 | fldr.origin = 'div' |
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438 | cmd.exp = exp_init |
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439 | varexp = cmd.exp |
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440 | |
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441 | ENDIF ELSE BEGIN |
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442 | |
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443 | ; If difference, decode second field, read and perform difference |
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444 | |
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445 | IF STRMID(cmd.spec, 0, 2) EQ 'd:' THEN BEGIN |
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446 | |
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447 | cmd2 = cmd |
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448 | cmdl = STRMID(cmd.spec, 2, strlen(cmd.spec)-2) |
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449 | |
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450 | print, ' remove : ', cmdl |
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451 | |
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452 | ; decode field2 |
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453 | |
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454 | argvar = str_sep(cmdl, '/') |
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455 | |
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456 | cmd2.exp = argvar[0] |
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457 | cmd2.timave = argvar[1] |
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458 | cmd2.date1 = argvar[2] |
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459 | cmd2.spec = '-' |
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460 | IF n_elements(argvar) EQ 4 THEN cmd2.spec = argvar[3] |
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461 | |
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462 | ; read field2 |
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463 | |
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464 | field2 = data_read(cmd2, hotyp, plttyp, dimplot, iover, ALL_DATA = all_data, _extra = ex) |
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465 | IF n_elements(field2.data) EQ 1 THEN return, field2 |
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466 | |
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467 | ; perform difference |
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468 | |
---|
469 | diff = fldr.data-field2.data |
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470 | IF (where(fldr.data EQ valmask))[0] NE -1 THEN $ |
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471 | diff[where(fldr.data EQ valmask)] = valmask |
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472 | fldr.data = diff |
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473 | fldr.origin = 'diff' |
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474 | cmd.exp = cmd.exp+' - '+cmd2.exp+ ' ('+cmd2.timave+' '+cmd2.date1+')' |
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475 | varexp = cmd.exp |
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476 | |
---|
477 | ENDIF |
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478 | |
---|
479 | ENDELSE |
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480 | |
---|
481 | ENDIF ELSE BEGIN |
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482 | |
---|
483 | print, '' |
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484 | print, ' Data already read (previous field)' |
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485 | print, '' |
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486 | |
---|
487 | ENDELSE |
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488 | |
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489 | return, fldr |
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490 | |
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491 | END |
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