1 | subroutine improvedclouds(ngrid,nlay,ptimestep, |
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2 | & pplay,pt,pdt, |
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3 | & pq,pdq,pdqcloud,pdqscloud,pdtcloud, |
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4 | & nq,tauscaling,rdust,rice,nuice, |
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5 | & rsedcloud,rhocloud) |
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6 | implicit none |
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7 | c------------------------------------------------------------------ |
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8 | c This routine is used to form clouds when a parcel of the GCM is |
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9 | c saturated. It includes the ability to have supersaturation, a |
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10 | c computation of the nucleation rates, growthrates and the |
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11 | c scavenging of dust particles by clouds. |
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12 | c It is worth noting that the amount of dust is computed using the |
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13 | c dust optical depth computed in aeropacity.F. That's why |
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14 | c the variable called "tauscaling" is used to convert |
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15 | c pq(dust_mass) and pq(dust_number), which are relative |
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16 | c quantities, to absolute and realistic quantities stored in zq. |
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17 | c This has to be done to convert the inputs into absolute |
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18 | c values, but also to convert the outputs back into relative |
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19 | c values which are then used by the sedimentation and advection |
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20 | c schemes. |
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21 | |
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22 | c Authors: J.-B. Madeleine, based on the work by Franck Montmessin |
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23 | c (October 2011) |
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24 | c------------------------------------------------------------------ |
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25 | #include "dimensions.h" |
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26 | #include "dimphys.h" |
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27 | #include "comcstfi.h" |
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28 | #include "callkeys.h" |
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29 | #include "tracer.h" |
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30 | #include "comgeomfi.h" |
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31 | #include "dimradmars.h" |
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32 | #include "microphys.h" |
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33 | c------------------------------------------------------------------ |
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34 | c Inputs: |
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35 | |
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36 | INTEGER ngrid,nlay |
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37 | integer nq ! nombre de traceurs |
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38 | REAL ptimestep ! pas de temps physique (s) |
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39 | REAL pplay(ngrid,nlay) ! pression au milieu des couches (Pa) |
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40 | REAL pt(ngrid,nlay) ! temperature at the middle of the |
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41 | ! layers (K) |
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42 | REAL pdt(ngrid,nlay) ! tendance temperature des autres |
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43 | ! param. |
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44 | REAL pq(ngrid,nlay,nq) ! traceur (kg/kg) |
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45 | REAL pdq(ngrid,nlay,nq) ! tendance avant condensation |
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46 | ! (kg/kg.s-1) |
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47 | REAL tauscaling(ngridmx) ! Convertion factor for qdust and Ndust |
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48 | REAL rdust(ngridmx,nlayermx) ! Dust geometric mean radius (m) |
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49 | |
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50 | c Outputs: |
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51 | REAL rice(ngrid,nlay) ! Ice mass mean radius (m) |
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52 | ! (r_c in montmessin_2004) |
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53 | REAL nuice(ngrid,nlay) ! Estimated effective variance |
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54 | ! of the size distribution |
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55 | REAL rsedcloud(ngridmx,nlayermx) ! Cloud sedimentation radius |
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56 | REAL rhocloud(ngridmx,nlayermx) ! Cloud density (kg.m-3) |
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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 pdqscloud(ngrid,nq) ! flux en surface (kg.m-2.s-1) |
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60 | REAL pdtcloud(ngrid,nlay) ! tendance temperature due |
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61 | ! a la chaleur latente |
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62 | |
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63 | c------------------------------------------------------------------ |
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64 | c Local variables: |
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65 | |
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66 | LOGICAL firstcall |
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67 | DATA firstcall/.true./ |
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68 | SAVE firstcall |
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69 | |
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70 | REAL*8 derf ! Error function |
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71 | !external derf |
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72 | |
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73 | REAL CBRT |
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74 | EXTERNAL CBRT |
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75 | |
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76 | INTEGER ig,l,i |
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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 condensated 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 dN,dM,newvap |
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90 | REAL*8 Rn, Rm, dev2 |
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91 | REAL*8 n_aer(nbin_cld) ! number conc. of particle/each size bin |
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92 | REAL*8 m_aer(nbin_cld) ! mass mixing ratio of particle/each size bin |
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93 | REAL*8 rate(nbin_cld) ! nucleation rate |
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94 | REAL*8 up,dwn,Ctot,gr,seq |
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95 | REAL*8 sig ! Water-ice/air surface tension (N.m) |
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96 | EXTERNAL sig |
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97 | |
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98 | c Parameters of the size discretization |
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99 | c used by the microphysical scheme |
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100 | DOUBLE PRECISION, PARAMETER :: rmin_cld = 0.1e-6 ! Minimum radius (m) |
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101 | DOUBLE PRECISION, PARAMETER :: rmax_cld = 10.e-6 ! Maximum radius (m) |
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102 | DOUBLE PRECISION, PARAMETER :: rbmin_cld = 0.0001e-6 |
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103 | ! Minimum boundary radius (m) |
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104 | DOUBLE PRECISION, PARAMETER :: rbmax_cld = 1.e-2 ! Maximum boundary radius (m) |
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105 | DOUBLE PRECISION vrat_cld ! Volume ratio |
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106 | DOUBLE PRECISION rb_cld(nbin_cld+1)! boundary values of each rad_cld bin (m) |
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107 | SAVE rb_cld |
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108 | DOUBLE PRECISION dr_cld(nbin_cld)! width of each rad_cld bin (m) |
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109 | DOUBLE PRECISION vol_cld(nbin_cld) ! particle volume for each bin (m3) |
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110 | |
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111 | REAL sigma_ice ! Variance of the ice and CCN distributions |
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112 | SAVE sigma_ice |
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113 | |
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114 | c some outputs for 1D |
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115 | REAL satu_out(ngridmx,nlayermx) ! satu ratio for output |
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116 | REAL dN_out(ngridmx,nlayermx) ! mass variation for output |
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117 | REAL dM_out(ngridmx,nlayermx) ! number variation for output |
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118 | REAL Mcon_out(ngridmx,nlayermx) ! mass to be condensed (not dMice !!) |
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119 | REAL gr_out(ngridmx,nlayermx) ! for 1d output |
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120 | REAL newvap_out(ngridmx,nlayermx) ! for 1d output |
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121 | |
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122 | c------------------------------------------------------------------ |
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123 | |
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124 | IF (firstcall) THEN |
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125 | |
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126 | c Definition of the size grid |
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127 | c ~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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128 | c rad_cld is the primary radius grid used for microphysics computation. |
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129 | c The grid spacing is computed assuming a constant volume ratio |
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130 | c between two consecutive bins; i.e. vrat_cld. |
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131 | c vrat_cld is determined from the boundary values of the size grid: |
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132 | c rmin_cld and rmax_cld. |
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133 | c The rb_cld array contains the boundary values of each rad_cld bin. |
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134 | c dr_cld is the width of each rad_cld bin. |
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135 | |
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136 | c Volume ratio between two adjacent bins |
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137 | vrat_cld = dlog(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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138 | vrat_cld = dexp(vrat_cld) |
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139 | write(*,*) "vrat_cld", vrat_cld |
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140 | |
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141 | rb_cld(1) = rbmin_cld |
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142 | rad_cld(1) = rmin_cld |
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143 | vol_cld(1) = 4./3. * dble(pi) * rmin_cld**3. |
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144 | |
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145 | do i=1,nbin_cld-1 |
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146 | rad_cld(i+1) = rad_cld(i) * vrat_cld**(1./3.) |
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147 | vol_cld(i+1) = vol_cld(i) * vrat_cld |
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148 | enddo |
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149 | |
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150 | do i=1,nbin_cld |
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151 | rb_cld(i+1)= ( (2.*vrat_cld) / (vrat_cld+1.) )**(1./3.) * |
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152 | & rad_cld(i) |
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153 | dr_cld(i) = rb_cld(i+1) - rb_cld(i) |
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154 | enddo |
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155 | rb_cld(nbin_cld+1) = rbmax_cld |
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156 | dr_cld(nbin_cld) = rb_cld(nbin_cld+1) - rb_cld(nbin_cld) |
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157 | |
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158 | print*, ' ' |
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159 | print*,'Microphysics: size bin information:' |
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160 | print*,'i,rb_cld(i), rad_cld(i),dr_cld(i)' |
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161 | print*,'-----------------------------------' |
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162 | do i=1,nbin_cld |
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163 | write(*,'(i2,3x,3(e12.6,4x))') i,rb_cld(i), rad_cld(i), |
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164 | & dr_cld(i) |
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165 | enddo |
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166 | write(*,'(i2,3x,e12.6)') nbin_cld+1,rb_cld(nbin_cld+1) |
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167 | print*,'-----------------------------------' |
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168 | |
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169 | c Contact parameter of water ice on dust ( m=cos(theta) ) |
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170 | c ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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171 | ! mteta = 0.95 |
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172 | write(*,*) 'water_param contact parameter:', mteta |
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173 | |
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174 | c Volume of a water molecule (m3) |
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175 | vo1 = mh2o / dble(rho_ice) |
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176 | c Variance of the ice and CCN distributions |
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177 | sigma_ice = sqrt(log(1.+nuice_sed)) |
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178 | |
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179 | write(*,*) 'Variance of ice & CCN distribs :', sigma_ice |
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180 | write(*,*) 'Volume of a water molecule:', vo1 |
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181 | |
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182 | firstcall=.false. |
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183 | END IF |
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184 | |
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185 | c----------------------------------------------------------------------- |
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186 | c 1. Initialization |
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187 | c----------------------------------------------------------------------- |
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188 | c Update the needed variables |
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189 | |
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190 | c write(*,*) "tauscaling", tauscaling |
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191 | |
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192 | !write(*,*) "pq ccn_mass", pq(ig,:,igcm_ccn_mass) |
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193 | !write(*,*) "pdq ccn_mass", pdq(ig,:,igcm_ccn_mass) |
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194 | !write(*,*) "pq ccn_number", pq(ig,:,igcm_ccn_number) |
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195 | !write(*,*) "pdq ccn_number", pdq(ig,:,igcm_ccn_number) |
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196 | |
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197 | ! print*, "improvedcloud debut pdq", |
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198 | ! & pdq(:,:,igcm_ccn_number)*ptimestep |
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199 | ! print*, "improvedcloud debut pq", pq(:,:,igcm_ccn_number) |
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200 | |
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201 | |
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202 | do l=1,nlay |
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203 | do ig=1,ngrid |
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204 | c Temperature |
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205 | zt(ig,l)=pt(ig,l)+ pdt(ig,l)*ptimestep |
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206 | c Dust mass mixing ratio |
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207 | c (converted to the true value using tauscaling) |
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208 | zq(ig,l,igcm_dust_mass) = |
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209 | & pq(ig,l,igcm_dust_mass) + |
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210 | & pdq(ig,l,igcm_dust_mass) * ptimestep |
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211 | zq(ig,l,igcm_dust_mass) = |
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212 | & zq(ig,l,igcm_dust_mass) * tauscaling(ig) |
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213 | zq(ig,l,igcm_dust_mass)=max(zq(ig,l,igcm_dust_mass),1.E-30) |
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214 | zq0(ig,l,igcm_dust_mass)=zq(ig,l,igcm_dust_mass) |
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215 | c Dust particle number |
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216 | c (converted to the true value using rdust and tauscaling) |
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217 | ! zq(ig,l,igcm_dust_number) = |
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218 | ! & pq(ig,l,igcm_dust_number) + |
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219 | ! & pdq(ig,l,igcm_dust_number) * ptimestep |
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220 | zq(ig,l,igcm_dust_number) = |
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221 | & (1.e0/rdust(ig,l))**3. * r3n_q * zq(ig,l,igcm_dust_mass) |
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222 | zq(ig,l,igcm_dust_number)= |
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223 | & max(zq(ig,l,igcm_dust_number),1.E-30) |
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224 | zq0(ig,l,igcm_dust_number)=zq(ig,l,igcm_dust_number) |
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225 | c CCN mass mixing ratio |
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226 | zq(ig,l,igcm_ccn_mass)= |
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227 | & pq(ig,l,igcm_ccn_mass)+pdq(ig,l,igcm_ccn_mass)*ptimestep |
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228 | zq(ig,l,igcm_ccn_mass)=max(zq(ig,l,igcm_ccn_mass),1.E-30) |
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229 | zq0(ig,l,igcm_ccn_mass)=zq(ig,l,igcm_ccn_mass) |
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230 | c write(*,*) "pq,zq ccn_mass", pq(ig,l,igcm_ccn_mass), |
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231 | c & zq(ig,l,igcm_ccn_mass) |
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232 | c CCN particle number |
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233 | zq(ig,l,igcm_ccn_number)= |
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234 | & pq(ig,l,igcm_ccn_number)+pdq(ig,l,igcm_ccn_number)*ptimestep |
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235 | zq(ig,l,igcm_ccn_number)=max(zq(ig,l,igcm_ccn_number),1.E-30) |
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236 | zq0(ig,l,igcm_ccn_number)=zq(ig,l,igcm_ccn_number) |
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237 | c write(*,*) "pq,zq ccn_number", pq(ig,l,igcm_ccn_number), |
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238 | c & zq(ig,l,igcm_ccn_number) |
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239 | c Water vapor |
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240 | zq(ig,l,igcm_h2o_vap)= |
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241 | & pq(ig,l,igcm_h2o_vap)+pdq(ig,l,igcm_h2o_vap)*ptimestep |
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242 | zq(ig,l,igcm_h2o_vap)=max(zq(ig,l,igcm_h2o_vap),1.E-30) ! FF 12/2004 |
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243 | zq0(ig,l,igcm_h2o_vap)=zq(ig,l,igcm_h2o_vap) |
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244 | c Water ice |
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245 | zq(ig,l,igcm_h2o_ice)= |
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246 | & pq(ig,l,igcm_h2o_ice)+pdq(ig,l,igcm_h2o_ice)*ptimestep |
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247 | zq(ig,l,igcm_h2o_ice)=max(zq(ig,l,igcm_h2o_ice),0.) ! FF 12/2004 |
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248 | zq0(ig,l,igcm_h2o_ice)=zq(ig,l,igcm_h2o_ice) |
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249 | enddo |
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250 | enddo |
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251 | |
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252 | !print*, "improvedcloud debut pq", pq(1,:,igcm_dust_number) |
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253 | |
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254 | c------------------------------------------------------------------ |
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255 | c Cloud microphysical scheme |
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256 | c------------------------------------------------------------------ |
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257 | |
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258 | Cste = ptimestep * 4. * pi * rho_ice |
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259 | |
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260 | call watersat(ngridmx*nlayermx,zt,pplay,zqsat) |
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261 | |
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262 | c write(*,*) "ccn_number avant loop phy", |
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263 | c & zq(ig,:,igcm_ccn_number) |
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264 | c write(*,*) "ccn_mass avant loop phy", |
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265 | c & zq(ig,:,igcm_ccn_mass) |
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266 | |
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267 | c Main loop over the GCM's grid |
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268 | DO l=1,nlay |
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269 | !ig = 1 |
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270 | DO ig=1,ngrid |
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271 | |
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272 | c Get the partial pressure of water vapor and its saturation ratio |
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273 | ph2o = zq(ig,l,igcm_h2o_vap) * (44./18.) * pplay(ig,l) |
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274 | satu = zq(ig,l,igcm_h2o_vap) / zqsat(ig,l) |
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275 | satu_out(ig,l) = satu |
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276 | !write(*,*) "l | h2o_vap | zqsat | satu | ph2o" |
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277 | !write(*,*) l,zq(ig,l,igcm_h2o_vap), zqsat(ig,l), satu, ph2o |
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278 | |
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279 | c Expand the dust moments into a binned distribution |
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280 | Mo = zq(ig,l,igcm_dust_mass) |
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281 | No = zq(ig,l,igcm_dust_number)+ 1.e-30 |
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282 | Rn = rdust(ig,l) |
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283 | Rm = Rn * exp( 3. * sigma_ice**2. ) |
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284 | Rn = 1. / Rn |
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285 | Rm = 1. / Rm |
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286 | dev2 = 1. / ( sqrt(2.) * sigma_ice ) |
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287 | do i = 1, nbin_cld |
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288 | n_aer(i) = 0.5 * No * ( derf( dlog(rb_cld(i+1)*Rn) * dev2 ) |
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289 | & -derf( dlog(rb_cld(i) * Rn) * dev2 ) ) |
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290 | m_aer(i) = 0.5 * Mo * ( derf( dlog(rb_cld(i+1)*Rm) * dev2 ) |
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291 | & -derf( dlog(rb_cld(i) * Rm) * dev2 ) ) |
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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, No",sumcheck, No |
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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 | c Get the rates of nucleation |
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319 | call nuclea(ph2o,zt(ig,l),satu,n_aer,rate) |
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320 | |
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321 | dN = 0. |
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322 | dM = 0. |
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323 | do i = 1, nbin_cld |
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324 | n_aer(i) = n_aer(i) / ( 1. + rate(i)*ptimestep ) |
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325 | m_aer(i) = m_aer(i) / ( 1. + rate(i)*ptimestep ) |
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326 | dN = dN + n_aer(i) * rate(i) * ptimestep |
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327 | dM = dM + m_aer(i) * rate(i) * ptimestep |
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328 | enddo |
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329 | |
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330 | ! dN = min( max(dN,-zq(ig,l,igcm_ccn_number) ), |
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331 | ! & zq(ig,l,igcm_dust_number) ) |
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332 | ! |
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333 | ! dM = min( max(dM,-zq(ig,l,igcm_ccn_mass) ), |
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334 | ! & zq(ig,l,igcm_dust_mass) ) |
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335 | |
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336 | |
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337 | c IF (zq(ig,l,igcm_ccn_number).ge.1.e-20) THEN |
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338 | |
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339 | Mo = zq0(ig,l,igcm_h2o_ice) + |
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340 | & zq0(ig,l,igcm_ccn_mass) + 1.e-30 |
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341 | No = zq0(ig,l,igcm_ccn_number) |
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342 | !write(*,*) "l,cloud particles,cloud mass",l, No, Mo |
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343 | rhocloud(ig,l) = zq0(ig,l,igcm_h2o_ice) / Mo * rho_ice |
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344 | & +zq0(ig,l,igcm_ccn_mass) / Mo * rho_dust |
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345 | rhocloud(ig,l) = min(max(rhocloud(ig,l),rho_ice),rho_dust) |
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346 | rice(ig,l) = |
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347 | & ( Mo / No * 0.75 / pi / rhocloud(ig,l) ) **(1./3.) |
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348 | nuice(ig,l)=nuice_ref ! used for rad. transfer calculations |
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349 | if (Mo.lt.1.e-20) rice(ig,l) = 1.e-8 |
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350 | seq = exp( 2.*sig(zt(ig,l))*mh2o / |
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351 | & (rho_ice*rgp*zt(ig,l)*rice(ig,l)) ) |
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352 | |
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353 | call growthrate(ptimestep,zt(ig,l),pplay(ig,l), |
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354 | & ph2o,ph2o/satu,seq,rice(ig,l),gr) |
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355 | |
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356 | up = Cste * gr * rice(ig,l) * No * seq + |
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357 | & zq(ig,l,igcm_h2o_vap) |
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358 | dwn = Cste * gr * rice(ig,l) * No / zqsat(ig,l)+ 1. |
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359 | |
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360 | Ctot = zq0(ig,l,igcm_h2o_ice) + zq(ig,l,igcm_h2o_vap) |
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361 | |
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362 | newvap = min(up/dwn,Ctot) |
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363 | |
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364 | gr = gr * ( newvap/zqsat(ig,l) - seq ) |
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365 | |
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366 | |
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367 | dMice = min( max(Cste * No * rice(ig,l) * gr, |
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368 | & -zq(ig,l,igcm_h2o_ice) ), |
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369 | & zq(ig,l,igcm_h2o_vap) ) |
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370 | |
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371 | c----------- TESTS 1D output --------- |
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372 | if (ngrid.eq.1) then |
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373 | Mcon_out(ig,l) = dMice |
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374 | newvap_out(ig,l) = newvap |
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375 | gr_out(ig,l) = gr |
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376 | dN_out(ig,l) = dN |
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377 | dM_out(ig,l) = dM |
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378 | endif |
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379 | c------------------------------------- |
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380 | |
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381 | c Water ice |
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382 | zq(ig,l,igcm_h2o_ice) = zq0(ig,l,igcm_h2o_ice) + |
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383 | & dMice |
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384 | |
---|
385 | c Water vapor |
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386 | zq(ig,l,igcm_h2o_vap) = zq0(ig,l,igcm_h2o_vap) - |
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387 | & dMice |
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388 | |
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389 | |
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390 | c If all the ice particles sublimate, all the condensation |
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391 | c nuclei are released: |
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392 | if (zq(ig,l,igcm_h2o_ice).le.1e-30) then |
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393 | c Water ice particles |
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394 | zq(ig,l,igcm_h2o_ice) = 0. |
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395 | c Dust particles |
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396 | zq(ig,l,igcm_dust_mass ) = zq0(ig,l,igcm_dust_mass) + |
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397 | & zq0(ig,l,igcm_ccn_mass) |
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398 | zq(ig,l,igcm_dust_number ) = zq0(ig,l,igcm_dust_number) + |
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399 | & zq0(ig,l,igcm_ccn_number) |
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400 | c CCNs |
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401 | zq(ig,l,igcm_ccn_mass) = 0. |
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402 | zq(ig,l,igcm_ccn_number) = 0. |
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403 | c for coherence |
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404 | dM = 0 |
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405 | dN = 0 |
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406 | endif |
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407 | c ELSE |
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408 | cc Initialize rhocloud and rice to avoid divisions by 0 |
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409 | c rhocloud(ig,l) = 1.e-10 |
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410 | c rice(ig,l) = 1.e-8 |
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411 | c dM = 0 |
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412 | c dN = 0 |
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413 | c ENDIF ! of if (zq(ig,l,igcm_ccn_number).ge.1.e-20) |
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414 | |
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415 | c Dust particles |
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416 | zq(ig,l,igcm_dust_mass ) = zq(ig,l,igcm_dust_mass ) - dM |
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417 | zq(ig,l,igcm_dust_number ) = zq(ig,l,igcm_dust_number ) - dN |
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418 | c CCNs |
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419 | zq(ig,l,igcm_ccn_mass) = zq(ig,l,igcm_ccn_mass) + dM |
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420 | zq(ig,l,igcm_ccn_number) = zq(ig,l,igcm_ccn_number) + dN |
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421 | |
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422 | ENDDO |
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423 | ENDDO |
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424 | |
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425 | |
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426 | ! print*, "improvedclouds zq0 abs.", zq0(:,:,igcm_ccn_number) |
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427 | ! print*, "improvedclouds zq abs.", zq(:,:,igcm_ccn_number) |
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428 | c------------------------------------------------------------------ |
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429 | c Convert the initial values back into relative values |
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430 | c (has to be done before updating rdust!) |
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431 | c------------------------------------------------------------------ |
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432 | |
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433 | do l=1, nlay |
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434 | do ig=1,ngrid |
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435 | zq0(ig,l,igcm_dust_mass) = |
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436 | & zq0(ig,l,igcm_dust_mass) / tauscaling(ig) |
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437 | zq0(ig,l,igcm_dust_number) = |
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438 | & (1.e0/rdust(ig,l))**3. * r3n_q * |
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439 | & zq0(ig,l,igcm_dust_mass) |
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440 | enddo ! of do ig=1,ngrid |
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441 | enddo ! of do l=1,nlay |
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442 | |
---|
443 | c------------------------------------------------------------------ |
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444 | c Update the dust radius |
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445 | c------------------------------------------------------------------ |
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446 | |
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447 | DO l=1,nlay |
---|
448 | DO ig=1,ngrid |
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449 | rdust(ig,l)= |
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450 | & CBRT(r3n_q*zq(ig,l,igcm_dust_mass)/ |
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451 | & max(zq(ig,l,igcm_dust_number),0.01)) |
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452 | rdust(ig,l)=min(max(rdust(ig,l),1.e-10),500.e-6) |
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453 | ENDDO |
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454 | ENDDO |
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455 | |
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456 | c------------------------------------------------------------------ |
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457 | c Convert zq back into relative values (only applies to dust) |
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458 | c------------------------------------------------------------------ |
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459 | |
---|
460 | do l=1, nlay |
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461 | do ig=1,ngrid |
---|
462 | c Dust mass mixing ratio |
---|
463 | c (converted back into relative value using tauscaling) |
---|
464 | zq(ig,l,igcm_dust_mass) = |
---|
465 | & zq(ig,l,igcm_dust_mass) / tauscaling(ig) |
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466 | zq(ig,l,igcm_dust_mass)=max(zq(ig,l,igcm_dust_mass),1.E-30) |
---|
467 | c Dust particle number |
---|
468 | c (converted back into relative value) |
---|
469 | zq(ig,l,igcm_dust_number) = |
---|
470 | & (1.e0/rdust(ig,l))**3. * r3n_q * zq(ig,l,igcm_dust_mass) |
---|
471 | zq(ig,l,igcm_dust_number)= |
---|
472 | & max(zq(ig,l,igcm_dust_number),1.E-30) |
---|
473 | enddo ! of do ig=1,ngrid |
---|
474 | enddo ! of do l=1,nlay |
---|
475 | |
---|
476 | ! print*, "improvedclouds zq0 rel.", zq0(1,:,igcm_ccn_number) |
---|
477 | ! print*, "improvedclouds zq rel.", zq(1,:,igcm_ccn_number) |
---|
478 | |
---|
479 | c------------------------------------------------------------------ |
---|
480 | c Compute the sedimentation radius |
---|
481 | c------------------------------------------------------------------ |
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482 | |
---|
483 | do l=1, nlay |
---|
484 | do ig=1,ngrid |
---|
485 | rsedcloud(ig,l)=max( rice(ig,l)*(1.+nuice_sed)**3., |
---|
486 | & rdust(ig,l) ) |
---|
487 | rsedcloud(ig,l)=min(rsedcloud(ig,l),1.e-4) |
---|
488 | enddo ! of do ig=1,ngrid |
---|
489 | enddo ! of do l=1,nlay |
---|
490 | |
---|
491 | c------------------------------------------------------------------ |
---|
492 | c Force positive values |
---|
493 | c------------------------------------------------------------------ |
---|
494 | |
---|
495 | ! do l=1, nlay |
---|
496 | ! do ig=1,ngrid |
---|
497 | ! zq(ig,l,igcm_ccn_mass)= |
---|
498 | ! & max(zq(ig,l,igcm_ccn_mass),1e-30) |
---|
499 | ! zq(ig,l,igcm_ccn_number)= |
---|
500 | ! & max(zq(ig,l,igcm_ccn_number),1e-30) |
---|
501 | ! zq(ig,l,igcm_h2o_vap)= |
---|
502 | ! & max(zq(ig,l,igcm_h2o_vap),1e-30) |
---|
503 | ! zq(ig,l,igcm_h2o_ice)= |
---|
504 | ! & max(zq(ig,l,igcm_h2o_ice),1e-30) |
---|
505 | ! enddo ! of do ig=1,ngrid |
---|
506 | ! enddo ! of do l=1,nlay |
---|
507 | |
---|
508 | |
---|
509 | c------------------------------------------------------------------ |
---|
510 | c Compute the final tendencies |
---|
511 | c------------------------------------------------------------------ |
---|
512 | |
---|
513 | c Initialize the tendencies |
---|
514 | pdqscloud(1:ngrid,1:nq)=0 |
---|
515 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
---|
516 | pdtcloud(1:ngrid,1:nlay)=0 |
---|
517 | |
---|
518 | c Update the tendencies |
---|
519 | do l=1, nlay |
---|
520 | do ig=1,ngrid |
---|
521 | pdqcloud(ig,l,igcm_dust_mass)=(zq(ig,l,igcm_dust_mass) |
---|
522 | & -zq0(ig,l,igcm_dust_mass))/ptimestep |
---|
523 | pdqcloud(ig,l,igcm_dust_number)=(zq(ig,l,igcm_dust_number) |
---|
524 | & -pq(ig,l,igcm_dust_number))/ptimestep |
---|
525 | & - pdq(ig,l,igcm_dust_number) !!! AJOUT TN |
---|
526 | pdqcloud(ig,l,igcm_ccn_mass)=(zq(ig,l,igcm_ccn_mass) |
---|
527 | & -zq0(ig,l,igcm_ccn_mass))/ptimestep |
---|
528 | pdqcloud(ig,l,igcm_ccn_number)=(zq(ig,l,igcm_ccn_number) |
---|
529 | & -zq0(ig,l,igcm_ccn_number))/ptimestep |
---|
530 | pdqcloud(ig,l,igcm_h2o_vap)=(zq(ig,l,igcm_h2o_vap) |
---|
531 | & -zq0(ig,l,igcm_h2o_vap))/ptimestep |
---|
532 | pdqcloud(ig,l,igcm_h2o_ice)=(zq(ig,l,igcm_h2o_ice) |
---|
533 | & -zq0(ig,l,igcm_h2o_ice))/ptimestep |
---|
534 | lw=(2834.3-0.28*(zt(ig,l)-To)-0.004*(zt(ig,l)-To)**2)*1.e+3 |
---|
535 | pdtcloud(ig,l)=-pdqcloud(ig,l,igcm_h2o_vap)*lw/cpp |
---|
536 | end do |
---|
537 | end do |
---|
538 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",3, |
---|
539 | ! & satu_out) |
---|
540 | |
---|
541 | ! print*, "improvedclouds pdq*dt", |
---|
542 | ! & pdqcloud(:,:,igcm_ccn_number)*ptimestep |
---|
543 | |
---|
544 | |
---|
545 | c------------------------------------------------------------------ |
---|
546 | c TEST_JBM |
---|
547 | IF (ngrid.eq.1) THEN |
---|
548 | c call WRITEDIAGFI(ngrid,"tausca","tauscaling","",0, |
---|
549 | c & tauscaling) |
---|
550 | call WRITEDIAGFI(ngrid,"newvap","h2o newvap","kg",1, |
---|
551 | & newvap_out) |
---|
552 | call WRITEDIAGFI(ngrid,"growthrate","growth rate","m^2/s",1, |
---|
553 | & gr_out) |
---|
554 | call WRITEDIAGFI(ngrid,"dM","ccn variation","kg",1, |
---|
555 | & dM_out) |
---|
556 | call WRITEDIAGFI(ngrid,"dN","ccn variation","#",1, |
---|
557 | & dN_out) |
---|
558 | call WRITEDIAGFI(ngrid,"mcond","h2o condensed mass","kg",1, |
---|
559 | & Mcon_out) |
---|
560 | call WRITEDIAGFI(ngrid,"zqsat","p vap sat","kg/kg",1, |
---|
561 | & zqsat) |
---|
562 | call WRITEDIAGFI(ngrid,"satu","ratio saturation","",1, |
---|
563 | & satu_out) |
---|
564 | call WRITEDIAGFI(ngrid,"rice","ice radius","m",1, |
---|
565 | & rice) |
---|
566 | call WRITEDIAGFI(ngrid,"rdust","rdust","m",1, |
---|
567 | & rdust) |
---|
568 | call WRITEDIAGFI(ngrid,"rsedcloud","rsedcloud","m",1, |
---|
569 | & rsedcloud) |
---|
570 | call WRITEDIAGFI(ngrid,"rhocloud","rhocloud","kg.m-3",1, |
---|
571 | & rhocloud) |
---|
572 | ENDIF |
---|
573 | c------------------------------------------------------------------ |
---|
574 | return |
---|
575 | end |
---|