1 | subroutine improvedclouds(ngrid,nlay,ptimestep, |
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2 | & pplay,pt,pdt, |
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3 | & pq,pdq,pdqcloud,pdtcloud, |
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4 | & nq,tauscaling) |
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5 | ! to use 'getin' |
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6 | USE ioipsl_getincom |
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7 | implicit none |
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8 | |
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9 | |
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10 | c------------------------------------------------------------------ |
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11 | c This routine is used to form clouds when a parcel of the GCM is |
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12 | c saturated. It includes the ability to have supersaturation, a |
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13 | c computation of the nucleation rates, growthrates and the |
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14 | c scavenging of dust particles by clouds. |
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15 | c It is worth noting that the amount of dust is computed using the |
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16 | c dust optical depth computed in aeropacity.F. That's why |
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17 | c the variable called "tauscaling" is used to convert |
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18 | c pq(dust_mass) and pq(dust_number), which are relative |
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19 | c quantities, to absolute and realistic quantities stored in zq. |
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20 | c This has to be done to convert the inputs into absolute |
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21 | c values, but also to convert the outputs back into relative |
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22 | c values which are then used by the sedimentation and advection |
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23 | c schemes. |
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24 | |
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25 | c Authors: J.-B. Madeleine, based on the work by Franck Montmessin |
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26 | c (October 2011) |
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27 | c T. Navarro, debug,correction, new scheme (October-April 2011) |
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28 | c A. Spiga, optimization (February 2012) |
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29 | c------------------------------------------------------------------ |
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30 | #include "dimensions.h" |
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31 | #include "dimphys.h" |
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32 | #include "comcstfi.h" |
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33 | #include "callkeys.h" |
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34 | #include "tracer.h" |
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35 | #include "comgeomfi.h" |
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36 | #include "dimradmars.h" |
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37 | #include "microphys.h" |
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38 | #include "conc.h" |
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39 | c------------------------------------------------------------------ |
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40 | c Inputs: |
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41 | |
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42 | INTEGER ngrid,nlay |
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43 | integer nq ! nombre de traceurs |
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44 | REAL ptimestep ! pas de temps physique (s) |
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45 | REAL pplay(ngrid,nlay) ! pression au milieu des couches (Pa) |
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46 | |
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47 | REAL pt(ngrid,nlay) ! temperature at the middle of the |
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48 | ! layers (K) |
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49 | REAL pdt(ngrid,nlay) ! tendance temperature des autres |
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50 | ! param. |
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51 | REAL pq(ngrid,nlay,nq) ! traceur (kg/kg) |
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52 | REAL pdq(ngrid,nlay,nq) ! tendance avant condensation |
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53 | ! (kg/kg.s-1) |
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54 | REAL tauscaling(ngridmx) ! Convertion factor for qdust and Ndust |
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55 | |
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56 | c Outputs: |
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57 | REAL pdqcloud(ngrid,nlay,nq) ! tendance de la condensation |
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58 | ! H2O(kg/kg.s-1) |
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59 | REAL pdtcloud(ngrid,nlay) ! tendance temperature due |
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60 | ! a la chaleur latente |
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61 | |
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62 | c------------------------------------------------------------------ |
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63 | c Local variables: |
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64 | |
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65 | LOGICAL firstcall |
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66 | DATA firstcall/.true./ |
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67 | SAVE firstcall |
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68 | |
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69 | REAL*8 derf ! Error function |
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70 | !external derf |
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71 | |
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72 | REAL CBRT |
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73 | EXTERNAL CBRT |
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74 | |
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75 | INTEGER ig,l,i |
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76 | |
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77 | |
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78 | REAL zq(ngridmx,nlayermx,nqmx) ! local value of tracers |
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79 | REAL zq0(ngridmx,nlayermx,nqmx) ! local initial value of tracers |
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80 | REAL zt(ngridmx,nlayermx) ! local value of temperature |
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81 | REAL zqsat(ngridmx,nlayermx) ! saturation |
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82 | REAL lw !Latent heat of sublimation (J.kg-1) |
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83 | REAL cste |
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84 | REAL dMice ! mass of condensed ice |
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85 | ! REAL sumcheck |
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86 | REAL*8 ph2o ! Water vapor partial pressure (Pa) |
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87 | REAL*8 satu ! Water vapor saturation ratio over ice |
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88 | REAL*8 Mo,No |
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89 | REAL*8 Rn, Rm, dev2, n_derf, m_derf |
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90 | REAL*8 n_aer(nbin_cld) ! number conc. of particle/each size bin |
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91 | REAL*8 m_aer(nbin_cld) ! mass mixing ratio of particle/each size bin |
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92 | |
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93 | REAL*8 sig ! Water-ice/air surface tension (N.m) |
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94 | EXTERNAL sig |
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95 | |
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96 | REAL dN,dM |
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97 | REAL rate(nbin_cld) ! nucleation rate |
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98 | REAL seq |
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99 | |
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100 | REAL rice(ngrid,nlay) ! Ice mass mean radius (m) |
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101 | ! (r_c in montmessin_2004) |
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102 | REAL rhocloud(ngridmx,nlayermx) ! Cloud density (kg.m-3) |
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103 | REAL rdust(ngridmx,nlayermx) ! Dust geometric mean radius (m) |
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104 | |
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105 | REAL res ! Resistance growth |
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106 | |
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107 | |
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108 | c Parameters of the size discretization |
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109 | c used by the microphysical scheme |
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110 | DOUBLE PRECISION, PARAMETER :: rmin_cld = 0.1e-6 ! Minimum radius (m) |
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111 | DOUBLE PRECISION, PARAMETER :: rmax_cld = 10.e-6 ! Maximum radius (m) |
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112 | DOUBLE PRECISION, PARAMETER :: rbmin_cld = 0.0001e-6 |
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113 | ! Minimum boundary radius (m) |
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114 | DOUBLE PRECISION, PARAMETER :: rbmax_cld = 1.e-2 ! Maximum boundary radius (m) |
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115 | DOUBLE PRECISION vrat_cld ! Volume ratio |
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116 | DOUBLE PRECISION rb_cld(nbin_cld+1)! boundary values of each rad_cld bin (m) |
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117 | SAVE rb_cld |
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118 | DOUBLE PRECISION dr_cld(nbin_cld) ! width of each rad_cld bin (m) |
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119 | DOUBLE PRECISION vol_cld(nbin_cld) ! particle volume for each bin (m3) |
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120 | |
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121 | |
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122 | REAL sigma_ice ! Variance of the ice and CCN distributions |
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123 | SAVE sigma_ice |
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124 | |
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125 | |
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126 | |
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127 | c---------------------------------- |
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128 | c TESTS |
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129 | |
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130 | INTEGER countcells |
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131 | |
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132 | LOGICAL test_flag ! flag for test/debuging outputs |
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133 | SAVE test_flag |
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134 | |
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135 | |
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136 | c------------------------------------------------------------------ |
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137 | |
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138 | IF (firstcall) THEN |
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139 | !============================================================= |
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140 | ! 0. Definition of the size grid |
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141 | !============================================================= |
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142 | c rad_cld is the primary radius grid used for microphysics computation. |
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143 | c The grid spacing is computed assuming a constant volume ratio |
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144 | c between two consecutive bins; i.e. vrat_cld. |
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145 | c vrat_cld is determined from the boundary values of the size grid: |
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146 | c rmin_cld and rmax_cld. |
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147 | c The rb_cld array contains the boundary values of each rad_cld bin. |
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148 | c dr_cld is the width of each rad_cld bin. |
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149 | |
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150 | c Volume ratio between two adjacent bins |
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151 | ! vrat_cld = log(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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152 | ! vrat_cld = exp(vrat_cld) |
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153 | vrat_cld = dlog(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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154 | vrat_cld = dexp(vrat_cld) |
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155 | write(*,*) "vrat_cld", vrat_cld |
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156 | |
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157 | rb_cld(1) = rbmin_cld |
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158 | rad_cld(1) = rmin_cld |
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159 | vol_cld(1) = 4./3. * dble(pi) * rmin_cld*rmin_cld*rmin_cld |
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160 | ! vol_cld(1) = 4./3. * pi * rmin_cld*rmin_cld*rmin_cld |
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161 | |
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162 | do i=1,nbin_cld-1 |
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163 | rad_cld(i+1) = rad_cld(i) * vrat_cld**(1./3.) |
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164 | vol_cld(i+1) = vol_cld(i) * vrat_cld |
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165 | enddo |
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166 | |
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167 | do i=1,nbin_cld |
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168 | rb_cld(i+1)= ( (2.*vrat_cld) / (vrat_cld+1.) )**(1./3.) * |
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169 | & rad_cld(i) |
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170 | dr_cld(i) = rb_cld(i+1) - rb_cld(i) |
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171 | enddo |
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172 | rb_cld(nbin_cld+1) = rbmax_cld |
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173 | dr_cld(nbin_cld) = rb_cld(nbin_cld+1) - rb_cld(nbin_cld) |
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174 | |
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175 | print*, ' ' |
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176 | print*,'Microphysics: size bin information:' |
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177 | print*,'i,rb_cld(i), rad_cld(i),dr_cld(i)' |
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178 | print*,'-----------------------------------' |
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179 | do i=1,nbin_cld |
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180 | write(*,'(i2,3x,3(e12.6,4x))') i,rb_cld(i), rad_cld(i), |
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181 | & dr_cld(i) |
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182 | enddo |
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183 | write(*,'(i2,3x,e12.6)') nbin_cld+1,rb_cld(nbin_cld+1) |
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184 | print*,'-----------------------------------' |
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185 | |
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186 | do i=1,nbin_cld+1 |
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187 | ! rb_cld(i) = log(rb_cld(i)) |
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188 | rb_cld(i) = dlog(rb_cld(i)) !! we save that so that it is not computed |
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189 | !! at each timestep and gridpoint |
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190 | enddo |
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191 | |
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192 | c Contact parameter of water ice on dust ( m=cos(theta) ) |
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193 | c ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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194 | ! mteta = 0.95 |
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195 | write(*,*) 'water_param contact parameter:', mteta |
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196 | |
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197 | c Volume of a water molecule (m3) |
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198 | vo1 = mh2o / dble(rho_ice) |
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199 | c Variance of the ice and CCN distributions |
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200 | sigma_ice = sqrt(log(1.+nuice_sed)) |
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201 | |
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202 | |
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203 | write(*,*) 'Variance of ice & CCN distribs :', sigma_ice |
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204 | write(*,*) 'nuice for sedimentation:', nuice_sed |
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205 | write(*,*) 'Volume of a water molecule:', vo1 |
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206 | |
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207 | |
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208 | test_flag = .false. |
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209 | |
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210 | firstcall=.false. |
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211 | END IF |
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212 | |
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213 | |
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214 | !============================================================= |
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215 | ! 1. Initialisation |
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216 | !============================================================= |
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217 | cste = 4*pi*rho_ice*ptimestep |
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218 | |
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219 | c Initialize the tendencies |
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220 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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221 | pdtcloud(1:ngrid,1:nlay)=0 |
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222 | |
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223 | c Initialize the tendencies |
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224 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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225 | pdtcloud(1:ngrid,1:nlay)=0 |
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226 | |
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227 | c Initialize the tendencies |
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228 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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229 | pdtcloud(1:ngrid,1:nlay)=0 |
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230 | |
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231 | |
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232 | zt(1:ngrid,1:nlay) = |
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233 | & pt(1:ngrid,1:nlay) + |
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234 | & pdt(1:ngrid,1:nlay) * ptimestep |
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235 | |
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236 | zq(1:ngrid,1:nlay,1:nq) = |
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237 | & pq(1:ngrid,1:nlay,1:nq) + |
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238 | & pdq(1:ngrid,1:nlay,1:nq) * ptimestep |
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239 | |
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240 | zq0(1:ngrid,1:nlay,1:nq) = zq(1:ngrid,1:nlay,1:nq) |
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241 | |
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242 | WHERE( zq(1:ngrid,1:nlay,1:nq) < 1.e-30 ) |
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243 | & zq(1:ngrid,1:nlay,1:nq) = 1.e-30 |
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244 | |
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245 | !============================================================= |
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246 | ! 2. Compute saturation |
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247 | !============================================================= |
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248 | |
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249 | |
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250 | dev2 = 1. / ( sqrt(2.) * sigma_ice ) |
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251 | |
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252 | call watersat(ngridmx*nlayermx,zt,pplay,zqsat) |
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253 | |
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254 | countcells = 0 |
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255 | |
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256 | c Main loop over the GCM's grid |
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257 | DO l=1,nlay |
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258 | DO ig=1,ngrid |
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259 | |
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260 | c Get the partial pressure of water vapor and its saturation ratio |
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261 | ph2o = zq(ig,l,igcm_h2o_vap) * (mmean(ig,l)/18.) * pplay(ig,l) |
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262 | satu = zq(ig,l,igcm_h2o_vap) / zqsat(ig,l) |
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263 | |
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264 | !============================================================= |
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265 | ! 3. Nucleation |
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266 | !============================================================= |
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267 | |
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268 | IF ( satu .ge. 1. ) THEN ! if there is condensation |
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269 | |
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270 | c Update rdust from last tendencies |
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271 | rdust(ig,l)= |
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272 | & CBRT(r3n_q*zq(ig,l,igcm_dust_mass)/ |
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273 | & (zq(ig,l,igcm_dust_number)+1.e-30)) |
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274 | rdust(ig,l)=min(max(rdust(ig,l),1.e-10),500.e-6) |
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275 | |
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276 | |
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277 | c Expand the dust moments into a binned distribution |
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278 | Mo = zq(ig,l,igcm_dust_mass)* tauscaling(ig) + 1.e-30 |
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279 | No = zq(ig,l,igcm_dust_number)* tauscaling(ig) + 1.e-30 |
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280 | Rn = rdust(ig,l) |
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281 | Rn = -dlog(Rn) |
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282 | Rm = Rn - 3. * sigma_ice*sigma_ice |
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283 | n_derf = derf( (rb_cld(1)+Rn) *dev2) |
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284 | m_derf = derf( (rb_cld(1)+Rm) *dev2) |
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285 | do i = 1, nbin_cld |
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286 | n_aer(i) = -0.5 * No * n_derf !! this ith previously computed |
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287 | m_aer(i) = -0.5 * Mo * m_derf !! this ith previously computed |
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288 | n_derf = derf( (rb_cld(i+1)+Rn) *dev2) |
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289 | m_derf = derf( (rb_cld(i+1)+Rm) *dev2) |
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290 | n_aer(i) = n_aer(i) + 0.5 * No * n_derf |
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291 | m_aer(i) = m_aer(i) + 0.5 * Mo * m_derf |
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292 | enddo |
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293 | |
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294 | ! sumcheck = 0 |
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295 | ! do i = 1, nbin_cld |
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296 | ! sumcheck = sumcheck + n_aer(i) |
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297 | ! enddo |
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298 | ! sumcheck = abs(sumcheck/No - 1) |
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299 | ! if ((sumcheck .gt. 1e-5).and. (1./Rn .gt. rmin_cld)) then |
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300 | ! print*, "WARNING, No sumcheck PROBLEM" |
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301 | ! print*, "sumcheck, No",sumcheck, No |
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302 | ! print*, "min radius, Rn, ig, l", rmin_cld, 1./Rn, ig, l |
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303 | ! print*, "Dust binned distribution", n_aer |
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304 | ! endif |
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305 | ! |
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306 | ! sumcheck = 0 |
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307 | ! do i = 1, nbin_cld |
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308 | ! sumcheck = sumcheck + m_aer(i) |
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309 | ! enddo |
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310 | ! sumcheck = abs(sumcheck/Mo - 1) |
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311 | ! if ((sumcheck .gt. 1e-5) .and. (1./Rn .gt. rmin_cld)) then |
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312 | ! print*, "WARNING, Mo sumcheck PROBLEM" |
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313 | ! print*, "sumcheck, Mo",sumcheck, Mo |
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314 | ! print*, "min radius, Rm, ig, l", rmin_cld, 1./Rm, ig, l |
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315 | ! print*, "Dust binned distribution", m_aer |
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316 | ! endif |
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317 | |
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318 | |
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319 | c Get the rates of nucleation |
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320 | call nuclea(ph2o,zt(ig,l),satu,n_aer,rate) |
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321 | |
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322 | dN = 0. |
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323 | dM = 0. |
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324 | do i = 1, nbin_cld |
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325 | n_aer(i) = n_aer(i)/( 1. + rate(i)*ptimestep) |
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326 | m_aer(i) = m_aer(i)/( 1. + rate(i)*ptimestep) |
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327 | dN = dN + n_aer(i) * rate(i) * ptimestep |
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328 | dM = dM + m_aer(i) * rate(i) * ptimestep |
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329 | enddo |
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330 | |
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331 | |
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332 | c Update Dust particles |
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333 | zq(ig,l,igcm_dust_mass) = |
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334 | & zq(ig,l,igcm_dust_mass) - dM/ tauscaling(ig) |
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335 | zq(ig,l,igcm_dust_number) = |
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336 | & zq(ig,l,igcm_dust_number) - dN/ tauscaling(ig) |
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337 | c Update CCNs |
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338 | zq(ig,l,igcm_ccn_mass) = |
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339 | & zq(ig,l,igcm_ccn_mass) + dM/ tauscaling(ig) |
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340 | zq(ig,l,igcm_ccn_number) = |
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341 | & zq(ig,l,igcm_ccn_number) + dN/ tauscaling(ig) |
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342 | |
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343 | ENDIF ! of is satu >1 |
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344 | |
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345 | !============================================================= |
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346 | ! 4. Ice growth: scheme for radius evolution |
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347 | !============================================================= |
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348 | |
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349 | c We trigger crystal growth if and only if there is at least one nuclei (N>1). |
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350 | c Indeed, if we are supersaturated and still don't have at least one nuclei, we should better wait |
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351 | c to avoid unrealistic value for nuclei radius and so on for cases that remain negligible. |
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352 | |
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353 | IF ( zq(ig,l,igcm_ccn_number)*tauscaling(ig).ge. 1.) THEN ! we trigger crystal growth |
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354 | |
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355 | |
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356 | Mo = zq(ig,l,igcm_h2o_ice) + |
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357 | & zq(ig,l,igcm_ccn_mass)* tauscaling(ig) + 1.e-30 |
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358 | No = zq(ig,l,igcm_ccn_number)* tauscaling(ig) + 1.e-30 |
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359 | |
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360 | |
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361 | rhocloud(ig,l) = zq(ig,l,igcm_h2o_ice) / Mo * rho_ice |
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362 | & + zq(ig,l,igcm_ccn_mass)* tauscaling(ig) |
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363 | & / Mo * rho_dust |
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364 | rhocloud(ig,l) = min(max(rhocloud(ig,l),rho_ice),rho_dust) |
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365 | |
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366 | |
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367 | c ice crystal radius |
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368 | rice (ig,l) = |
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369 | & CBRT( real(Mo/No) * 0.75 / pi / rhocloud(ig,l) ) |
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370 | |
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371 | |
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372 | c saturation at equilibrium |
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373 | seq = exp( 2.*sig(zt(ig,l))*mh2o / |
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374 | & (rho_ice*rgp*zt(ig,l)*rice(ig,l)) ) |
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375 | |
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376 | c get resistance growth |
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377 | call growthrate(zt(ig,l),pplay(ig,l), |
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378 | & real(ph2o/satu),rice(ig,l),res) |
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379 | |
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380 | |
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381 | ccccccc implicit scheme of mass growth |
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382 | |
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383 | dMice = |
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384 | & (zq(ig,l,igcm_h2o_vap)-seq*zqsat(ig,l)) |
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385 | & /(res*zqsat(ig,l)/(cste*No*rice(ig,l)) + 1.) |
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386 | |
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387 | |
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388 | ! With the above scheme, dMice cannot be bigger than vapor, |
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389 | ! but can be bigger than all available ice. |
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390 | dMice = max(dMice,-zq(ig,l,igcm_h2o_ice)) |
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391 | dMice = min(dMice,zq(ig,l,igcm_h2o_vap)) ! this should be useless... |
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392 | |
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393 | zq(ig,l,igcm_h2o_ice) = zq(ig,l,igcm_h2o_ice)+dMice |
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394 | zq(ig,l,igcm_h2o_vap) = zq(ig,l,igcm_h2o_vap)-dMice |
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395 | |
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396 | |
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397 | countcells = countcells + 1 |
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398 | |
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399 | ! latent heat release |
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400 | lw=(2834.3-0.28*(zt(ig,l)-To)- |
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401 | & 0.004*(zt(ig,l)-To)*(zt(ig,l)-To))*1.e+3 |
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402 | pdtcloud(ig,l)= dMice*lw/cpp/ptimestep |
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403 | |
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404 | |
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405 | |
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406 | !============================================================= |
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407 | ! 5. Dust cores released, tendancies, latent heat, etc ... |
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408 | !============================================================= |
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409 | |
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410 | c If all the ice particles sublimate, all the condensation |
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411 | c nuclei are released: |
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412 | if (zq(ig,l,igcm_h2o_ice).le.1.e-8) then |
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413 | |
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414 | c Water |
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415 | zq(ig,l,igcm_h2o_vap) = zq(ig,l,igcm_h2o_vap) |
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416 | & + zq(ig,l,igcm_h2o_ice) |
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417 | zq(ig,l,igcm_h2o_ice) = 0. |
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418 | c Dust particles |
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419 | zq(ig,l,igcm_dust_mass) = zq(ig,l,igcm_dust_mass) |
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420 | & + zq(ig,l,igcm_ccn_mass) |
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421 | zq(ig,l,igcm_dust_number) = zq(ig,l,igcm_dust_number) |
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422 | & + zq(ig,l,igcm_ccn_number) |
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423 | c CCNs |
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424 | zq(ig,l,igcm_ccn_mass) = 0. |
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425 | zq(ig,l,igcm_ccn_number) = 0. |
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426 | |
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427 | endif |
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428 | |
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429 | ENDIF !of if Nccn>1 |
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430 | |
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431 | ENDDO ! of ig loop |
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432 | ENDDO ! of nlayer loop |
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433 | |
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434 | |
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435 | ! Get cloud tendencies |
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436 | pdqcloud(1:ngrid,1:nlay,1:nq) = |
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437 | & (zq(1:ngrid,1:nlay,1:nq)-zq0(1:ngrid,1:nlay,1:nq))/ptimestep |
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438 | |
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439 | |
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440 | |
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441 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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442 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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443 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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444 | IF (test_flag) then |
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445 | |
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446 | ! error2d(:) = 0. |
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447 | ! DO l=1,nlay |
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448 | ! DO ig=1,ngrid |
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449 | ! error2d(ig) = max(abs(error_out(ig,l)),error2d(ig)) |
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450 | ! ENDDO |
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451 | ! ENDDO |
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452 | |
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453 | print*, 'count is ',countcells, ' i.e. ', |
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454 | & countcells*100/(nlay*ngrid), '% for microphys computation' |
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455 | |
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456 | ! IF (ngrid.ne.1) THEN ! 3D |
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457 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",3, |
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458 | ! & satu_out) |
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459 | ! call WRITEDIAGFI(ngrid,"dM","ccn variation","kg/kg",3, |
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460 | ! & dM_out) |
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461 | ! call WRITEDIAGFI(ngrid,"dN","ccn variation","#",3, |
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462 | ! & dN_out) |
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463 | ! call WRITEDIAGFI(ngrid,"error","dichotomy max error","%",2, |
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464 | ! & error2d) |
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465 | ! call WRITEDIAGFI(ngrid,"zqsat","zqsat","kg",3, |
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466 | ! & zqsat) |
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467 | ! ENDIF |
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468 | |
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469 | ! IF (ngrid.eq.1) THEN ! 1D |
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470 | ! call WRITEDIAGFI(ngrid,"error","incertitude sur glace","%",1, |
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471 | ! & error_out) |
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472 | ! call WRITEDIAGFI(ngrid,"satu_bf","satu before","kg/kg",1, |
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473 | ! & satubf) |
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474 | ! call WRITEDIAGFI(ngrid,"satu_af","satu after","kg/kg",1, |
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475 | ! & satuaf) |
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476 | ! call WRITEDIAGFI(ngrid,"vapbf","h2ovap before","kg/kg",1, |
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477 | ! & zq0(1,:,igcm_h2o_vap)) |
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478 | ! call WRITEDIAGFI(ngrid,"vapaf","h2ovap after","kg/kg",1, |
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479 | ! & zq(1,:,igcm_h2o_vap)) |
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480 | ! call WRITEDIAGFI(ngrid,"icebf","h2oice before","kg/kg",1, |
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481 | ! & zq0(1,:,igcm_h2o_ice)) |
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482 | ! call WRITEDIAGFI(ngrid,"iceaf","h2oice after","kg/kg",1, |
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483 | ! & zq(1,:,igcm_h2o_ice)) |
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484 | ! call WRITEDIAGFI(ngrid,"ccnbf","ccn before","/kg",1, |
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485 | ! & ccnbf) |
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486 | ! call WRITEDIAGFI(ngrid,"ccnaf","ccn after","/kg",1, |
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487 | ! & ccnaf) |
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488 | c call WRITEDIAGFI(ngrid,"growthrate","growth rate","m^2/s",1, |
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489 | c & gr_out) |
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490 | c call WRITEDIAGFI(ngrid,"nuclearate","nucleation rate","",1, |
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491 | c & rate_out) |
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492 | c call WRITEDIAGFI(ngrid,"dM","ccn variation","kg",1, |
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493 | c & dM_out) |
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494 | c call WRITEDIAGFI(ngrid,"dN","ccn variation","#",1, |
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495 | c & dN_out) |
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496 | ! call WRITEDIAGFI(ngrid,"zqsat","p vap sat","kg/kg",1, |
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497 | ! & zqsat) |
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498 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",1, |
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499 | ! & satu_out) |
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500 | ! call WRITEDIAGFI(ngrid,"rice_sca","ice radius","m",1, |
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501 | ! & rice) |
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502 | ! call WRITEDIAGFI(ngrid,"rdust_sca","rdust","m",1, |
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503 | ! & rdust) |
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504 | ! call WRITEDIAGFI(ngrid,"rsedcloud","rsedcloud","m",1, |
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505 | ! & rsedcloud) |
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506 | ! call WRITEDIAGFI(ngrid,"rhocloud","rhocloud","kg.m-3",1, |
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507 | ! & rhocloud) |
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508 | ! ENDIF |
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509 | |
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510 | ENDIF ! endif test_flag |
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511 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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512 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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513 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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514 | |
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515 | return |
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516 | end |
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517 | |
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518 | |
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519 | |
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520 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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521 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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522 | c The so -called "phi" function is such as phi(r) - phi(r0) = t - t0 |
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523 | c It is an analytical solution to the ice radius growth equation, |
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524 | c with the approximation of a constant 'reduced' cunningham correction factor |
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525 | c (lambda in growthrate.F) taken at radius req instead of rice |
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526 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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527 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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528 | |
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529 | c subroutine phi(rice,req,coeff1,coeff2,time) |
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530 | c |
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531 | c implicit none |
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532 | c |
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533 | c ! inputs |
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534 | c real rice ! ice radius |
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535 | c real req ! ice radius at equilibirum |
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536 | c real coeff1 ! coeff for the log |
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537 | c real coeff2 ! coeff for the arctan |
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538 | c |
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539 | c ! output |
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540 | c real time |
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541 | c |
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542 | c !local |
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543 | c real var |
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544 | c |
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545 | c ! 1.73205 is sqrt(3) |
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546 | c |
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547 | c var = max( |
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548 | c & abs(rice-req) / sqrt(rice*rice + rice*req + req*req),1e-30) |
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549 | c |
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550 | c time = |
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551 | c & coeff1 * |
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552 | c & log( var ) |
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553 | c & + coeff2 * 1.73205 * |
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554 | c & atan( (2*rice+req) / (1.73205*req) ) |
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555 | c |
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556 | c return |
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557 | c end |
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558 | |
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559 | |
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560 | |
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