1 | MODULE mod_1D_amma_read |
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2 | USE netcdf, ONLY: nf90_get_var, nf90_open, nf90_noerr, nf90_open, nf90_nowrite, & |
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3 | nf90_inq_dimid, nf90_inquire_dimension, nf90_strerror, nf90_inq_varid |
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4 | !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! |
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5 | !Declarations specifiques au cas AMMA |
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6 | character*80 :: fich_amma |
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7 | ! Option du cas AMMA ou on impose la discretisation verticale (Ap,Bp) |
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8 | integer nlev_amma, nt_amma |
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9 | |
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10 | |
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11 | integer year_ini_amma, day_ini_amma, mth_ini_amma |
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12 | real heure_ini_amma |
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13 | real day_ju_ini_amma ! Julian day of amma first day |
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14 | parameter (year_ini_amma=2006) |
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15 | parameter (mth_ini_amma=7) |
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16 | parameter (day_ini_amma=10) ! 10 = 10Juil2006 |
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17 | parameter (heure_ini_amma=0.) !0h en secondes |
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18 | real dt_amma |
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19 | parameter (dt_amma=1800.) |
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20 | |
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21 | !profils initiaux: |
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22 | real, allocatable:: plev_amma(:) |
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23 | |
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24 | real, allocatable:: z_amma(:) |
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25 | real, allocatable:: th_amma(:),q_amma(:) |
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26 | real, allocatable:: u_amma(:) |
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27 | real, allocatable:: v_amma(:) |
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28 | |
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29 | real, allocatable:: th_ammai(:),q_ammai(:) |
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30 | real, allocatable:: u_ammai(:) |
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31 | real, allocatable:: v_ammai(:) |
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32 | real, allocatable:: vitw_ammai(:) |
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33 | real, allocatable:: ht_ammai(:) |
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34 | real, allocatable:: hq_ammai(:) |
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35 | real, allocatable:: vt_ammai(:) |
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36 | real, allocatable:: vq_ammai(:) |
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37 | |
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38 | !forcings |
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39 | real, allocatable:: ht_amma(:,:) |
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40 | real, allocatable:: hq_amma(:,:) |
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41 | real, allocatable:: vitw_amma(:,:) |
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42 | real, allocatable:: lat_amma(:),sens_amma(:) |
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43 | |
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44 | !champs interpoles |
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45 | real, allocatable:: vitw_profamma(:) |
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46 | real, allocatable:: ht_profamma(:) |
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47 | real, allocatable:: hq_profamma(:) |
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48 | real lat_profamma,sens_profamma |
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49 | real, allocatable:: vt_profamma(:) |
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50 | real, allocatable:: vq_profamma(:) |
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51 | real, allocatable:: th_profamma(:) |
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52 | real, allocatable:: q_profamma(:) |
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53 | real, allocatable:: u_profamma(:) |
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54 | real, allocatable:: v_profamma(:) |
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55 | |
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56 | |
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57 | CONTAINS |
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58 | |
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59 | SUBROUTINE read_1D_cases |
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60 | implicit none |
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61 | |
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62 | INTEGER nid,rid,ierr |
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63 | |
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64 | fich_amma='amma.nc' |
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65 | print*,'fich_amma ',fich_amma |
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66 | ierr = nf90_open(fich_amma,nf90_nowrite,nid) |
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67 | print*,'fich_amma,nf90_nowrite,nid ',fich_amma,nf90_nowrite,nid |
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68 | if (ierr.NE.nf90_noerr) then |
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69 | write(*,*) 'ERROR: GROS Pb opening forcings nc file ' |
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70 | write(*,*) nf90_strerror(ierr) |
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71 | stop "" |
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72 | endif |
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73 | !....................................................................... |
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74 | ierr=nf90_inq_dimid(nid,'lev',rid) |
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75 | IF (ierr.NE.nf90_noerr) THEN |
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76 | print*, 'Oh probleme lecture dimension zz' |
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77 | ENDIF |
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78 | ierr=nf90_inquire_dimension(nid,rid,len=nlev_amma) |
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79 | print*,'OK nid,rid,nlev_amma',nid,rid,nlev_amma |
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80 | !....................................................................... |
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81 | ierr=nf90_inq_dimid(nid,'time',rid) |
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82 | print*,'nid,rid',nid,rid |
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83 | nt_amma=0 |
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84 | IF (ierr.NE.nf90_noerr) THEN |
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85 | stop 'probleme lecture dimension sens' |
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86 | ENDIF |
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87 | ierr=nf90_inquire_dimension(nid,rid,len=nt_amma) |
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88 | print*,'nid,rid,nlev_amma',nid,rid,nt_amma |
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89 | |
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90 | !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! |
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91 | !profils initiaux: |
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92 | allocate(plev_amma(nlev_amma)) |
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93 | |
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94 | allocate(z_amma(nlev_amma)) |
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95 | allocate(th_amma(nlev_amma),q_amma(nlev_amma)) |
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96 | allocate(u_amma(nlev_amma)) |
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97 | allocate(v_amma(nlev_amma)) |
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98 | |
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99 | !forcings |
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100 | allocate(ht_amma(nlev_amma,nt_amma)) |
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101 | allocate(hq_amma(nlev_amma,nt_amma)) |
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102 | allocate(vitw_amma(nlev_amma,nt_amma)) |
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103 | allocate(lat_amma(nt_amma),sens_amma(nt_amma)) |
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104 | |
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105 | !profils initiaux: |
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106 | allocate(th_ammai(nlev_amma),q_ammai(nlev_amma)) |
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107 | allocate(u_ammai(nlev_amma)) |
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108 | allocate(v_ammai(nlev_amma)) |
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109 | allocate(vitw_ammai(nlev_amma) ) |
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110 | allocate(ht_ammai(nlev_amma)) |
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111 | allocate(hq_ammai(nlev_amma)) |
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112 | allocate(vt_ammai(nlev_amma)) |
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113 | allocate(vq_ammai(nlev_amma)) |
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114 | |
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115 | !champs interpoles |
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116 | allocate(vitw_profamma(nlev_amma)) |
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117 | allocate(ht_profamma(nlev_amma)) |
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118 | allocate(hq_profamma(nlev_amma)) |
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119 | allocate(vt_profamma(nlev_amma)) |
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120 | allocate(vq_profamma(nlev_amma)) |
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121 | allocate(th_profamma(nlev_amma)) |
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122 | allocate(q_profamma(nlev_amma)) |
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123 | allocate(u_profamma(nlev_amma)) |
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124 | allocate(v_profamma(nlev_amma)) |
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125 | |
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126 | print*,'Allocations OK' |
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127 | call read_amma(nid,nlev_amma,nt_amma & |
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128 | & ,z_amma,plev_amma,th_amma,q_amma,u_amma,v_amma,vitw_amma & |
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129 | & ,ht_amma,hq_amma,sens_amma,lat_amma) |
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130 | |
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131 | END SUBROUTINE read_1D_cases |
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132 | |
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133 | |
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134 | |
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135 | !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! |
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136 | SUBROUTINE deallocate_1D_cases |
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137 | !profils initiaux: |
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138 | deallocate(plev_amma) |
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139 | |
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140 | deallocate(z_amma) |
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141 | deallocate(th_amma,q_amma) |
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142 | deallocate(u_amma) |
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143 | deallocate(v_amma) |
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144 | |
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145 | deallocate(th_ammai,q_ammai) |
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146 | deallocate(u_ammai) |
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147 | deallocate(v_ammai) |
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148 | deallocate(vitw_ammai ) |
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149 | deallocate(ht_ammai) |
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150 | deallocate(hq_ammai) |
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151 | deallocate(vt_ammai) |
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152 | deallocate(vq_ammai) |
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153 | |
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154 | !forcings |
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155 | deallocate(ht_amma) |
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156 | deallocate(hq_amma) |
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157 | deallocate(vitw_amma) |
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158 | deallocate(lat_amma,sens_amma) |
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159 | |
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160 | !champs interpoles |
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161 | deallocate(vitw_profamma) |
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162 | deallocate(ht_profamma) |
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163 | deallocate(hq_profamma) |
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164 | deallocate(vt_profamma) |
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165 | deallocate(vq_profamma) |
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166 | deallocate(th_profamma) |
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167 | deallocate(q_profamma) |
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168 | deallocate(u_profamma) |
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169 | deallocate(v_profamma) |
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170 | END SUBROUTINE deallocate_1D_cases |
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171 | |
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172 | |
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173 | END MODULE mod_1D_amma_read |
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174 | !===================================================================== |
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175 | subroutine read_amma(nid,nlevel,ntime & |
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176 | & ,zz,pp,temp,qv,u,v,dw & |
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177 | & ,dt,dq,sens,flat) |
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178 | |
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179 | !program reading forcings of the AMMA case study |
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180 | USE netcdf, ONLY: nf90_get_var, nf90_open, nf90_noerr, nf90_open, nf90_nowrite, & |
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181 | nf90_inq_dimid, nf90_inquire_dimension, nf90_strerror, nf90_inq_varid |
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182 | implicit none |
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183 | |
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184 | integer ntime,nlevel |
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185 | |
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186 | real zz(nlevel) |
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187 | real temp(nlevel),pp(nlevel) |
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188 | real qv(nlevel),u(nlevel) |
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189 | real v(nlevel) |
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190 | real dw(nlevel,ntime) |
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191 | real dt(nlevel,ntime) |
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192 | real dq(nlevel,ntime) |
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193 | real flat(ntime),sens(ntime) |
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194 | |
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195 | |
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196 | integer nid, ierr,rid |
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197 | integer nbvar3d |
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198 | parameter(nbvar3d=30) |
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199 | integer var3didin(nbvar3d) |
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200 | |
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201 | ierr=nf90_inq_varid(nid,"zz",var3didin(1)) |
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202 | if(ierr/=nf90_noerr) then |
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203 | write(*,*) nf90_strerror(ierr) |
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204 | stop 'lev' |
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205 | endif |
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206 | |
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207 | |
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208 | ierr=nf90_inq_varid(nid,"temp",var3didin(2)) |
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209 | if(ierr/=nf90_noerr) then |
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210 | write(*,*) nf90_strerror(ierr) |
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211 | stop 'temp' |
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212 | endif |
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213 | |
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214 | ierr=nf90_inq_varid(nid,"qv",var3didin(3)) |
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215 | if(ierr/=nf90_noerr) then |
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216 | write(*,*) nf90_strerror(ierr) |
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217 | stop 'qv' |
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218 | endif |
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219 | |
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220 | ierr=nf90_inq_varid(nid,"u",var3didin(4)) |
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221 | if(ierr/=nf90_noerr) then |
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222 | write(*,*) nf90_strerror(ierr) |
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223 | stop 'u' |
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224 | endif |
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225 | |
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226 | ierr=nf90_inq_varid(nid,"v",var3didin(5)) |
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227 | if(ierr/=nf90_noerr) then |
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228 | write(*,*) nf90_strerror(ierr) |
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229 | stop 'v' |
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230 | endif |
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231 | |
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232 | ierr=nf90_inq_varid(nid,"dw",var3didin(6)) |
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233 | if(ierr/=nf90_noerr) then |
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234 | write(*,*) nf90_strerror(ierr) |
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235 | stop 'dw' |
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236 | endif |
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237 | |
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238 | ierr=nf90_inq_varid(nid,"dt",var3didin(7)) |
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239 | if(ierr/=nf90_noerr) then |
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240 | write(*,*) nf90_strerror(ierr) |
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241 | stop 'dt' |
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242 | endif |
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243 | |
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244 | ierr=nf90_inq_varid(nid,"dq",var3didin(8)) |
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245 | if(ierr/=nf90_noerr) then |
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246 | write(*,*) nf90_strerror(ierr) |
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247 | stop 'dq' |
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248 | endif |
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249 | |
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250 | ierr=nf90_inq_varid(nid,"sens",var3didin(9)) |
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251 | if(ierr/=nf90_noerr) then |
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252 | write(*,*) nf90_strerror(ierr) |
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253 | stop 'sens' |
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254 | endif |
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255 | |
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256 | ierr=nf90_inq_varid(nid,"flat",var3didin(10)) |
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257 | if(ierr/=nf90_noerr) then |
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258 | write(*,*) nf90_strerror(ierr) |
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259 | stop 'flat' |
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260 | endif |
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261 | |
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262 | ierr=nf90_inq_varid(nid,"pp",var3didin(11)) |
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263 | if(ierr/=nf90_noerr) then |
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264 | write(*,*) nf90_strerror(ierr) |
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265 | endif |
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266 | |
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267 | !dimensions lecture |
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268 | ! call catchaxis(nid,ntime,nlevel,time,z,ierr) |
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269 | |
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270 | ierr = nf90_get_var(nid, var3didin(1), zz) |
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271 | if(ierr/=nf90_noerr) then |
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272 | write(*,*) nf90_strerror(ierr) |
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273 | stop "getvarup" |
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274 | endif |
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275 | ! write(*,*)'lecture z ok',zz |
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276 | |
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277 | ierr = nf90_get_var(nid, var3didin(2), temp) |
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278 | if(ierr/=nf90_noerr) then |
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279 | write(*,*) nf90_strerror(ierr) |
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280 | stop "getvarup" |
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281 | endif |
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282 | ! write(*,*)'lecture th ok',temp |
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283 | |
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284 | ierr = nf90_get_var(nid, var3didin(3), qv) |
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285 | if(ierr/=nf90_noerr) then |
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286 | write(*,*) nf90_strerror(ierr) |
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287 | stop "getvarup" |
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288 | endif |
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289 | ! write(*,*)'lecture qv ok',qv |
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290 | |
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291 | ierr = nf90_get_var(nid, var3didin(4), u) |
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292 | if(ierr/=nf90_noerr) then |
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293 | write(*,*) nf90_strerror(ierr) |
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294 | stop "getvarup" |
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295 | endif |
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296 | ! write(*,*)'lecture u ok',u |
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297 | |
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298 | ierr = nf90_get_var(nid, var3didin(5), v) |
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299 | if(ierr/=nf90_noerr) then |
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300 | write(*,*) nf90_strerror(ierr) |
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301 | stop "getvarup" |
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302 | endif |
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303 | ! write(*,*)'lecture v ok',v |
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304 | |
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305 | ierr = nf90_get_var(nid, var3didin(6), dw) |
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306 | if(ierr/=nf90_noerr) then |
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307 | write(*,*) nf90_strerror(ierr) |
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308 | stop "getvarup" |
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309 | endif |
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310 | ! write(*,*)'lecture w ok',dw |
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311 | |
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312 | ierr = nf90_get_var(nid, var3didin(7), dt) |
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313 | if(ierr/=nf90_noerr) then |
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314 | write(*,*) nf90_strerror(ierr) |
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315 | stop "getvarup" |
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316 | endif |
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317 | ! write(*,*)'lecture dt ok',dt |
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318 | |
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319 | ierr = nf90_get_var(nid, var3didin(8), dq) |
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320 | if(ierr/=nf90_noerr) then |
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321 | write(*,*) nf90_strerror(ierr) |
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322 | stop "getvarup" |
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323 | endif |
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324 | ! write(*,*)'lecture dq ok',dq |
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325 | |
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326 | ierr = nf90_get_var(nid, var3didin(9), sens) |
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327 | if(ierr/=nf90_noerr) then |
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328 | write(*,*) nf90_strerror(ierr) |
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329 | stop "getvarup" |
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330 | endif |
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331 | ! write(*,*)'lecture sens ok',sens |
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332 | |
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333 | ierr = nf90_get_var(nid, var3didin(10), flat) |
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334 | if(ierr/=nf90_noerr) then |
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335 | write(*,*) nf90_strerror(ierr) |
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336 | stop "getvarup" |
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337 | endif |
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338 | ! write(*,*)'lecture flat ok',flat |
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339 | |
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340 | ierr = nf90_get_var(nid, var3didin(11), pp) |
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341 | if(ierr/=nf90_noerr) then |
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342 | write(*,*) nf90_strerror(ierr) |
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343 | stop "getvarup" |
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344 | endif |
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345 | ! write(*,*)'lecture pp ok',pp |
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346 | |
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347 | return |
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348 | end subroutine read_amma |
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349 | !====================================================================== |
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350 | SUBROUTINE interp_amma_time(day,day1,annee_ref & |
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351 | & ,year_ini_amma,day_ini_amma,nt_amma,dt_amma,nlev_amma & |
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352 | & ,vitw_amma,ht_amma,hq_amma,lat_amma,sens_amma & |
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353 | & ,vitw_prof,ht_prof,hq_prof,lat_prof,sens_prof) |
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354 | USE compar1d_mod_h |
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355 | implicit none |
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356 | |
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357 | !--------------------------------------------------------------------------------------- |
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358 | ! Time interpolation of a 2D field to the timestep corresponding to day |
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359 | ! |
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360 | ! day: current julian day (e.g. 717538.2) |
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361 | ! day1: first day of the simulation |
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362 | ! nt_amma: total nb of data in the forcing (e.g. 48 for AMMA) |
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363 | ! dt_amma: total time interval (in sec) between 2 forcing data (e.g. 30min for AMMA) |
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364 | !--------------------------------------------------------------------------------------- |
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365 | |
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366 | ! inputs: |
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367 | integer annee_ref |
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368 | integer nt_amma,nlev_amma |
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369 | integer year_ini_amma |
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370 | real day, day1,day_ini_amma,dt_amma |
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371 | real vitw_amma(nlev_amma,nt_amma) |
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372 | real ht_amma(nlev_amma,nt_amma) |
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373 | real hq_amma(nlev_amma,nt_amma) |
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374 | real lat_amma(nt_amma) |
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375 | real sens_amma(nt_amma) |
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376 | ! outputs: |
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377 | real vitw_prof(nlev_amma) |
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378 | real ht_prof(nlev_amma) |
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379 | real hq_prof(nlev_amma) |
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380 | real lat_prof,sens_prof |
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381 | ! local: |
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382 | integer it_amma1, it_amma2,k |
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383 | real timeit,time_amma1,time_amma2,frac |
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384 | |
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385 | |
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386 | if (forcing_type.eq.6) then |
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387 | ! Check that initial day of the simulation consistent with AMMA case: |
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388 | if (annee_ref.ne.2006) then |
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389 | print*,'Pour AMMA, annee_ref doit etre 2006' |
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390 | print*,'Changer annee_ref dans run.def' |
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391 | stop |
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392 | endif |
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393 | if (annee_ref.eq.2006 .and. day1.lt.day_ini_amma) then |
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394 | print*,'AMMA a d�but� le 10 juillet 2006',day1,day_ini_amma |
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395 | print*,'Changer dayref dans run.def' |
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396 | stop |
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397 | endif |
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398 | if (annee_ref.eq.2006 .and. day1.gt.day_ini_amma+1) then |
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399 | print*,'AMMA a fini le 11 juillet' |
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400 | print*,'Changer dayref ou nday dans run.def' |
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401 | stop |
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402 | endif |
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403 | endif |
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404 | |
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405 | ! Determine timestep relative to the 1st day of AMMA: |
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406 | ! timeit=(day-day1)*86400. |
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407 | ! if (annee_ref.eq.1992) then |
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408 | ! timeit=(day-day_ini_toga)*86400. |
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409 | ! else |
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410 | ! timeit=(day+61.-1.)*86400. ! 61 days between Nov01 and Dec31 1992 |
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411 | ! endif |
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412 | timeit=(day-day_ini_amma)*86400 |
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413 | |
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414 | ! Determine the closest observation times: |
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415 | ! it_amma1=INT(timeit/dt_amma)+1 |
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416 | ! it_amma2=it_amma1 + 1 |
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417 | ! time_amma1=(it_amma1-1)*dt_amma |
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418 | ! time_amma2=(it_amma2-1)*dt_amma |
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419 | |
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420 | it_amma1=INT(timeit/dt_amma)+1 |
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421 | IF (it_amma1 .EQ. nt_amma) THEN |
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422 | it_amma2=it_amma1 |
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423 | ELSE |
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424 | it_amma2=it_amma1 + 1 |
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425 | ENDIF |
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426 | time_amma1=(it_amma1-1)*dt_amma |
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427 | time_amma2=(it_amma2-1)*dt_amma |
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428 | |
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429 | if (it_amma1 .gt. nt_amma) then |
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430 | write(*,*) 'PB-stop: day, it_amma1, it_amma2, timeit: ' & |
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431 | & ,day,day_ini_amma,it_amma1,it_amma2,timeit/86400. |
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432 | stop |
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433 | endif |
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434 | |
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435 | ! time interpolation: |
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436 | IF (it_amma1 .EQ. it_amma2) THEN |
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437 | frac=0. |
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438 | ELSE |
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439 | frac=(time_amma2-timeit)/(time_amma2-time_amma1) |
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440 | frac=max(frac,0.0) |
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441 | ENDIF |
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442 | |
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443 | lat_prof = lat_amma(it_amma2) & |
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444 | & -frac*(lat_amma(it_amma2)-lat_amma(it_amma1)) |
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445 | sens_prof = sens_amma(it_amma2) & |
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446 | & -frac*(sens_amma(it_amma2)-sens_amma(it_amma1)) |
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447 | |
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448 | do k=1,nlev_amma |
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449 | vitw_prof(k) = vitw_amma(k,it_amma2) & |
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450 | & -frac*(vitw_amma(k,it_amma2)-vitw_amma(k,it_amma1)) |
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451 | ht_prof(k) = ht_amma(k,it_amma2) & |
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452 | & -frac*(ht_amma(k,it_amma2)-ht_amma(k,it_amma1)) |
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453 | hq_prof(k) = hq_amma(k,it_amma2) & |
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454 | & -frac*(hq_amma(k,it_amma2)-hq_amma(k,it_amma1)) |
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455 | enddo |
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456 | |
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457 | return |
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458 | END |
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459 | |
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