1 | # -*- coding: iso-8859-15 -*- |
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2 | import os |
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3 | import Numeric |
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4 | |
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5 | import cdms |
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6 | import MV |
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7 | import vcs |
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8 | |
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9 | # filtre un flichier créé par cdms avec un ncdump, puis un ncgen. |
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10 | def filtre_dump (fichier): |
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11 | os.spawnlp(os.P_WAIT,"filtre_dump","filtre_dump",fichier,fichier) |
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12 | |
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13 | |
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14 | # calcul le tableau d'index d'un axe de points de terre |
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15 | # (ie kindex2D[i,j] = land[kij]), |
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16 | # ainsi que les indices inversés |
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17 | # (ie ( iland[ kindex2D[i,j]],jland[kindex2D[i,j]] ) = ( i,j )). |
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18 | # l'algorithme est celui utilisé dans ORCHIDEE. |
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19 | def calcul_kindex(kindex2D,iland,jland,axisLand,iim,jjm): |
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20 | kij=0 |
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21 | for ki in axisLand: |
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22 | j = int((ki-1)/iim) |
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23 | i = int(((ki-1) - j*iim)) |
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24 | kindex2D[i,j] = int(kij) |
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25 | iland[kij] = i |
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26 | jland[kij] = j |
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27 | #kindex2Dt[jjm-1-j,i] = kij |
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28 | kij = kij+1 |
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29 | return |
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30 | |
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31 | # calcul le vecteur des points de terre à partir du tableau des index |
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32 | # (ie land[kij] = kindex2D[i,j]) |
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33 | # l'algorithme est celui utilisé dans ORCHIDEE. |
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34 | def calcul_axisLand(kindex2D,iim,jjm,missing_value): |
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35 | axisLand = [] |
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36 | kij=0 |
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37 | for j in range(jjm): |
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38 | for i in range(iim): |
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39 | if (kindex2D[i,j] < missing_value): |
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40 | ki = int(j*iim + i + 1) |
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41 | axisLand.append(ki) |
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42 | # vérification : |
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43 | if (j != (ki-1)/iim or i != ((ki-1) - j*iim)): |
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44 | print "Erreur calcul_axisLand au ",kij,"-ième point de terre pour (i,j) = ",i,j," et land_i = ",ki |
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45 | kij = kij+1 |
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46 | return(MV.array(axisLand)) |
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47 | |
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48 | |
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49 | # Converti une variable d'axes [t,z,land] (avec land les points de terre) |
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50 | # en une variable 2D (lat,lon) |
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51 | def conversion2D(VarIn, kindex, nbindex, iim, jjm, missing_value): |
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52 | VarOut = missing_value*MV.ones((jjm,iim)) |
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53 | for j in range(jjm): |
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54 | for i in range(iim): |
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55 | if (kindex[i,j] < missing_value): |
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56 | #print i,j,kindex[j,i],(jjm-1)-j |
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57 | VarOut[j,i] = VarIn[kindex[i,j]] |
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58 | return(VarOut) |
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59 | |
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60 | # Converti une variable 2D (lat,lon) en |
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61 | # une variable d'axe land (les points de terre). |
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62 | def conversion2Dinv(VarIn, kindex, nbindex, iim, jjm, missing_value): |
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63 | VarOut = missing_value*MV.ones(nbindex) |
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64 | ii=0 |
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65 | for j in range(jjm): |
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66 | for i in range(iim): |
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67 | if (kindex[i,j] < missing_value): |
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68 | VarOut[ii] = VarIn[j,i] |
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69 | ii=ii+1 |
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70 | return(VarOut) |
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71 | |
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72 | # Pour les graphiques : même fonction, avec la latitude inversée. |
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73 | def conversion2DGr(VarIn, kindex, nbindex, iim, jjm, missing_value): |
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74 | VarOutGr = missing_value*Numeric.ones((jjm,iim)) |
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75 | for j in range(jjm): |
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76 | for i in range(iim): |
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77 | if (kindex[i,j] < missing_value): |
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78 | #print i,j,kindex[j,i],(jjm-1)-j |
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79 | VarOutGr[(jjm-1)-j,i] = VarIn[kindex[i,j]] |
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80 | return(VarOutGr) |
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81 | |
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82 | # Pour les graphiques : inverse la latitude d'une variable 2D |
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83 | def inverse2DGr(VarIn, kindex, nbindex, iim, jjm, missing_value): |
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84 | VarOutGr = missing_value*Numeric.ones((jjm,iim)) |
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85 | for j in range(jjm): |
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86 | for i in range(iim): |
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87 | if (kindex[i,j] < missing_value): |
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88 | VarOutGr[(jjm-1)-j,i] = VarIn[j,i] |
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89 | return(VarOutGr) |
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90 | |
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91 | # Calcul l'échelle iso d'une variable Var, dans un graphique grd, avec une valeur missing_value. |
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92 | # On décale les grandeurs min/max de decal % |
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93 | def errlevGr(Var, grd, decal, missing_value): |
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94 | minv = cdms.MV.minimum(Var) |
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95 | maxv = cdms.MV.maximum(Var) |
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96 | if (minv > 0): |
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97 | minv = minv*(1-decal/100.) |
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98 | else: |
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99 | minv = minv*(1+decal/100.) |
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100 | if (maxv > 0): |
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101 | maxv = maxv*(1+decal/100.) |
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102 | else: |
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103 | maxv = maxv*(1-decal/100.) |
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104 | diffv = (maxv - minv)/10. |
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105 | errlevs = vcs.mkevenlevels(minv,maxv,12) |
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106 | errlevs.append(missing_value) |
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107 | errlevs.insert(0,missing_value) |
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108 | cols = vcs.getcolors(errlevs) |
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109 | |
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110 | return(errlevs, cols) |
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111 | |
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112 | |
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113 | |
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114 | # The input VarIn is a land variable. |
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115 | # The output variable is 2D ( [jjm,iim] or [jmin:(jmax+1),imin:(imax+1)] ) |
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116 | # and if calcland==1, it returns too : |
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117 | # zoomkindex, zoomiim, zoomjjm, nlandz, |
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118 | # invindex, ifenetre =(imin,imax,jmin,jmax) |
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119 | def zoom_land(VarIn, kindex, nbindex, lat, lon, iim, jjm, limits, missing_value, calcland=1): |
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120 | # where limits is in the order : [limit_W, limit_E, limit_N, limit_S] |
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121 | VarOut = missing_value*Numeric.ones((jjm,iim)) |
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122 | # inverse of kindex |
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123 | invindex = Numeric.zeros((nbindex,2)) |
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124 | imin = iim+1 |
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125 | imax = -1 |
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126 | jmin = jjm+1 |
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127 | jmax = -1 |
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128 | for j in range(jjm): |
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129 | for i in range(iim): |
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130 | if (kindex[i,j] < missing_value): |
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131 | if ( limits[0] <= lon[j,i] and lon[j,i] <= limits[1] |
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132 | and limits[3] <= lat[j,i] and lat[j,i] <= limits[2] ): |
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133 | imin = min(imin, i) |
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134 | imax = max(imax, i) |
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135 | jmin = min(jmin, j) |
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136 | jmax = max(jmax, j) |
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137 | invindex[kindex[i,j],0]=j |
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138 | invindex[kindex[i,j],1]=i |
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139 | VarOut[j,i] = VarIn[kindex[i,j]] |
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140 | zoomiim = imax - imin +1 |
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141 | zoomjjm = jmax - jmin +1 |
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142 | #print imin, imax, jmin, jmax |
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143 | #print zoomiim, zoomjjm |
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144 | # pourquoi le +1 ???? (python ??) => nécessaire en tout cas. |
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145 | # à cause des lat/lon qui doivent anglober la zone zoomée |
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146 | VarOutZoom = VarOut[jmin:(jmax+1),imin:(imax+1)] |
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147 | if (calcland==1): |
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148 | zoomkindex = Numeric.ones((zoomiim,zoomjjm))*int(missing_value) |
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149 | nlandz=0 |
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150 | for j in range(jjm): |
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151 | for i in range(iim): |
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152 | if (kindex[i,j] < missing_value): |
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153 | if ( limits[0] <= lon[j,i] and lon[j,i] <= limits[1] |
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154 | and limits[3] <= lat[j,i] and lat[j,i] <= limits[2] ): |
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155 | zoomkindex[i-imin, j-jmin] = kindex[i,j] |
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156 | nlandz=nlandz+1 |
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157 | print "zoom : dimension", zoomiim, zoomjjm, nlandz |
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158 | # print "zoom : nouvel index ",zoomkindex |
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159 | return(VarOutZoom, zoomkindex, zoomiim, zoomjjm, nlandz, |
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160 | invindex, (imin, imax, jmin, jmax)) |
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161 | else: |
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162 | return(VarOutZoom) |
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163 | |
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164 | |
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165 | # The input VarIn is a land variable. |
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166 | # The output variable is 2D ( [jjm,iim] or [jmin:(jmax+1),imin:(imax+1)] ) |
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167 | # Simplified version of precedent one. |
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168 | def zoom_land_simpl(VarIn, kindex, nbindex, zoomiim, zoomjjm, ifenetre, missing_value): |
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169 | # where limits is in the order : [limit_W, limit_E, limit_N, limit_S] |
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170 | (imin, imax, jmin, jmax) = ifenetre |
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171 | VarOutZoom = missing_value*Numeric.ones((zoomjjm,zoomiim)) |
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172 | for i in range(zoomiim): |
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173 | for j in range(zoomjjm): |
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174 | ki=kindex[imin+i,jmin+j] |
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175 | if (ki < missing_value): |
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176 | VarOutZoom[j,i] = VarIn[ki] |
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177 | return(VarOutZoom) |
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178 | |
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179 | |
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180 | # The input VarIn is a 2D variable. |
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181 | # the output variable is 2D ( [jjm,iim] or [jmin:(jmax+1),imin:(imax+1)] ) |
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182 | # and if calcland==1, it returns too : |
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183 | # zoomkindex, zoomiim, zoomjjm, nlandz, |
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184 | # invindex, ifenetre =(imin,imax,jmin,jmax) |
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185 | def zoom(VarIn, kindex, nbindex, lat, lon, iim, jjm, limits, missing_value, calcland=1): |
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186 | # where limits is in the order : [limit_W, limit_E, limit_N, limit_S] |
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187 | imin = iim+1 |
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188 | imax = -1 |
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189 | jmin = jjm+1 |
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190 | jmax = -1 |
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191 | for j in range(jjm): |
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192 | for i in range(iim): |
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193 | if (kindex[i,j] < missing_value): |
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194 | if ( limits[0] <= lon[j,i] and lon[j,i] <= limits[1] |
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195 | and limits[3] <= lat[j,i] and lat[j,i] <= limits[2] ): |
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196 | imin = min(imin, i) |
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197 | imax = max(imax, i) |
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198 | jmin = min(jmin, j) |
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199 | jmax = max(jmax, j) |
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200 | invindex[kindex[i,j],0]=j |
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201 | invindex[kindex[i,j],1]=i |
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202 | zoomiim = imax - imin +1 |
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203 | zoomjjm = jmax - jmin +1 |
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204 | # pourquoi le +1 ???? (python ??) => nécessaire en tout cas. |
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205 | # à cause des lat/lon qui doivent anglober la zone zoomée |
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206 | VarOutZoom = VarIn[jmin:(jmax+1),imin:(imax+1)] |
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207 | if (calcland == 1): |
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208 | zoomkindex = Numeric.ones((zoomiim,zoomjjm))*int(missing_value) |
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209 | nlandz=0 |
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210 | for j in range(jjm): |
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211 | for i in range(iim): |
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212 | if (kindex[i,j] < missing_value): |
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213 | if ( limits[0] <= lon[j,i] and lon[j,i] <= limits[1] |
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214 | and limits[3] <= lat[j,i] and lat[j,i] <= limits[2] ): |
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215 | zoomkindex[i-imin, j-jmin] = kindex[i,j] |
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216 | nlandz=nlandz+1 |
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217 | print "zoom : dimension",zoomiim, zoomjjm, nlandz |
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218 | # print "zoom : nouvel index ",zoomkindex |
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219 | return(VarOutZoom, zoomkindex, zoomiim, zoomjjm, nlandz, |
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220 | invindex, (imin, imax, jmin, jmax)) |
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221 | else: |
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222 | return(VarOutZoom) |
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223 | |
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224 | # The input VarIn is a 2D variable. |
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225 | # the output variable is 2D [jmin:(jmax+1),imin:(imax+1)] |
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226 | def zoom2D(VarIn, lat, lon, iim, jjm, limits, missing_value): |
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227 | # where limits is in the order : [limit_W, limit_E, limit_N, limit_S] |
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228 | imin = iim+1 |
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229 | imax = -1 |
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230 | jmin = jjm+1 |
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231 | jmax = -1 |
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232 | for j in range(jjm): |
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233 | for i in range(iim): |
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234 | if ( limits[0] <= lon[j,i] and lon[j,i] <= limits[1] |
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235 | and limits[3] <= lat[j,i] and lat[j,i] <= limits[2] ): |
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236 | imin = min(imin, i) |
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237 | imax = max(imax, i) |
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238 | jmin = min(jmin, j) |
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239 | jmax = max(jmax, j) |
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240 | zoomiim = imax - imin +1 |
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241 | zoomjjm = jmax - jmin +1 |
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242 | VarOutZoom = VarIn[jmin:(jmax+1),imin:(imax+1)] |
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243 | return(VarOutZoom) |
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244 | |
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245 | # The input VarIn is a 2D variable. |
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246 | # the output variable is 2D ( [jjm,iim] or [jmin:(jmax+1),imin:(imax+1)] ) |
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247 | # Simplified version of precedent one. |
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248 | def zoom_simpl(VarIn, zoomiim, zoomjjm, ifenetre, missing_value): |
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249 | # where limits is in the order : [limit_W, limit_E, limit_N, limit_S] |
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250 | (imin, imax, jmin, jmax) = ifenetre |
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251 | VarOutZoom = missing_value*Numeric.ones((zoomjjm,zoomiim)) |
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252 | VarOutZoom = VarIn[jmin:(jmax+1),imin:(imax+1)] |
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253 | return(VarOutZoom) |
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254 | |
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255 | |
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256 | tab_mois=[31,28,31,30,31,30,31,31,30,31,30,31] |
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257 | |
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258 | # Conversion Month/Day => Num of Day in year |
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259 | def monthday_to_numday(month,day): |
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260 | #Tableau definissant la duree des mois dans un calendrier de 365 jours |
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261 | numday=sum(tab_mois[0:(month-1)])+day |
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262 | return(numday) |
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263 | |
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264 | # Rajoute dans le fichier "fichier" les tableaux bounds_lat et bounds_lon |
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265 | # pour le rendre compatible avec la convention CF. |
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266 | |
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267 | # def rajoutBounds(fichier,lat,lon,nland,land,kindex,nbindex,missing_value) |
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268 | # bounds_lon = Numeric.zeros((nland,,4)) |
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269 | # bounds_lat = Numeric.zeros((nland,,4)) |
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270 | # for j in range(jjm): |
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271 | # for i in range(iim): |
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272 | # if (kindex[i,j] < missing_vlaue): |
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273 | # #print i,j,kindex[i,j],(jjm-1)-j |
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274 | # VarOut[i,j] = VarIn[kindex[i,j]] |
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275 | # return(VarOut) |
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276 | |
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277 | |
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278 | # Construction des tableaux de coordonnées 2D nav_lat et nav_lon |
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279 | def Construit_nav_l(ax_lat, ax_lon, missing_v): |
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280 | Mones=Numeric.ones((len(ax_lat),1)) |
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281 | Slon=Numeric.array([ax_lon]) |
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282 | nvlon=MV.dot(Mones,Slon) |
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283 | nav_lon=cdms.createVariable(nvlon, |
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284 | typecode = cdms.MV.Float16, |
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285 | fill_value = missing_v, |
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286 | attributes={'name': 'nav_lon', |
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287 | 'valid_min': -180., |
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288 | 'valid_max': 180., |
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289 | 'long_name': 'Longitude', |
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290 | 'units': 'degrees_east' }, |
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291 | axes = [ ax_lat, ax_lon ], |
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292 | id = 'nav_lon') |
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293 | |
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294 | Mones=Numeric.swapaxes(Numeric.ones((len(ax_lon),1)),0,1) |
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295 | tmplat=Numeric.swapaxes(Numeric.array([ax_lat]),0,1) |
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296 | nvlat=MV.dot(tmplat, Mones) |
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297 | nav_lat=cdms.createVariable(nvlat, |
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298 | typecode = cdms.MV.Float16, |
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299 | fill_value = missing_v, |
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300 | attributes={'name': 'nav_lat', |
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301 | 'valid_min': -90., |
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302 | 'valid_max': 90., |
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303 | 'long_name': 'Latitude', |
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304 | 'units': 'degrees_north' }, |
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305 | axes = [ ax_lat, ax_lon ], |
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306 | id = 'nav_lat') |
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307 | return (nav_lat, nav_lon) |
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