[1963] | 1 | MODULE improvedclouds_mod |
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| 2 | |
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| 3 | IMPLICIT NONE |
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| 4 | |
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| 5 | CONTAINS |
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| 6 | |
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[1909] | 7 | subroutine improvedclouds(ngrid,nlay,microtimestep, |
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| 8 | & pplay,pteff,sum_subpdt, |
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| 9 | & pqeff,sum_subpdq,subpdqcloud,subpdtcloud, |
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[633] | 10 | & nq,tauscaling) |
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[520] | 11 | ! to use 'getin' |
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| 12 | USE ioipsl_getincom |
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[740] | 13 | USE updaterad |
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[1996] | 14 | USE watersat_mod, ONLY: watersat |
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[1036] | 15 | use tracer_mod, only: rho_ice, nuice_sed, igcm_h2o_vap, |
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| 16 | & igcm_h2o_ice, igcm_dust_mass, |
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| 17 | & igcm_dust_number, igcm_ccn_mass, |
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| 18 | & igcm_ccn_number |
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[1047] | 19 | use conc_mod, only: mmean |
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[1226] | 20 | USE comcstfi_h |
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[358] | 21 | implicit none |
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[633] | 22 | |
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| 23 | |
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[358] | 24 | c------------------------------------------------------------------ |
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| 25 | c This routine is used to form clouds when a parcel of the GCM is |
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| 26 | c saturated. It includes the ability to have supersaturation, a |
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| 27 | c computation of the nucleation rates, growthrates and the |
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| 28 | c scavenging of dust particles by clouds. |
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| 29 | c It is worth noting that the amount of dust is computed using the |
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| 30 | c dust optical depth computed in aeropacity.F. That's why |
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| 31 | c the variable called "tauscaling" is used to convert |
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| 32 | c pq(dust_mass) and pq(dust_number), which are relative |
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| 33 | c quantities, to absolute and realistic quantities stored in zq. |
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| 34 | c This has to be done to convert the inputs into absolute |
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| 35 | c values, but also to convert the outputs back into relative |
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| 36 | c values which are then used by the sedimentation and advection |
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| 37 | c schemes. |
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| 38 | |
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| 39 | c Authors: J.-B. Madeleine, based on the work by Franck Montmessin |
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| 40 | c (October 2011) |
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[626] | 41 | c T. Navarro, debug,correction, new scheme (October-April 2011) |
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[530] | 42 | c A. Spiga, optimization (February 2012) |
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[358] | 43 | c------------------------------------------------------------------ |
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| 44 | #include "callkeys.h" |
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| 45 | #include "microphys.h" |
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| 46 | c------------------------------------------------------------------ |
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[1976] | 47 | c Inputs/outputs: |
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[358] | 48 | |
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[1976] | 49 | INTEGER, INTENT(IN) :: ngrid,nlay |
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| 50 | INTEGER, INTENT(IN) :: nq ! nombre de traceurs |
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| 51 | REAL, INTENT(IN) :: microtimestep ! pas de temps physique (s) |
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| 52 | REAL, INTENT(IN) :: pplay(ngrid,nlay) ! pression au milieu des couches (Pa) |
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| 53 | REAL, INTENT(IN) :: pteff(ngrid,nlay) ! temperature at the middle of the |
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| 54 | ! layers (K) |
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| 55 | REAL, INTENT(IN) :: sum_subpdt(ngrid,nlay)! tendance temperature des autres |
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| 56 | ! param. |
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| 57 | REAL, INTENT(IN) :: pqeff(ngrid,nlay,nq) ! traceur (kg/kg) |
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| 58 | REAL, INTENT(IN) :: sum_subpdq(ngrid,nlay,nq) ! tendance avant condensation |
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| 59 | ! (kg/kg.s-1) |
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| 60 | REAL, INTENT(IN) :: tauscaling(ngrid) ! Convertion factor for qdust and Ndust |
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| 61 | |
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| 62 | REAL, INTENT(OUT) :: subpdqcloud(ngrid,nlay,nq) ! tendance de la condensation |
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| 63 | ! H2O(kg/kg.s-1) |
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| 64 | REAL, INTENT(OUT) :: subpdtcloud(ngrid,nlay) ! tendance temperature due |
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| 65 | ! a la chaleur latente |
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[358] | 66 | |
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| 67 | c------------------------------------------------------------------ |
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| 68 | c Local variables: |
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| 69 | |
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| 70 | LOGICAL firstcall |
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| 71 | DATA firstcall/.true./ |
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| 72 | SAVE firstcall |
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| 73 | |
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| 74 | REAL*8 derf ! Error function |
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| 75 | !external derf |
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[740] | 76 | |
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[358] | 77 | INTEGER ig,l,i |
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[520] | 78 | |
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[1047] | 79 | REAL zq(ngrid,nlay,nq) ! local value of tracers |
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| 80 | REAL zq0(ngrid,nlay,nq) ! local initial value of tracers |
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| 81 | REAL zt(ngrid,nlay) ! local value of temperature |
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| 82 | REAL zqsat(ngrid,nlay) ! saturation |
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[358] | 83 | REAL lw !Latent heat of sublimation (J.kg-1) |
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[633] | 84 | REAL cste |
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| 85 | REAL dMice ! mass of condensed ice |
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| 86 | ! REAL sumcheck |
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[358] | 87 | REAL*8 ph2o ! Water vapor partial pressure (Pa) |
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| 88 | REAL*8 satu ! Water vapor saturation ratio over ice |
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| 89 | REAL*8 Mo,No |
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[633] | 90 | REAL*8 Rn, Rm, dev2, n_derf, m_derf |
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[358] | 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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[633] | 93 | |
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[358] | 94 | REAL*8 sig ! Water-ice/air surface tension (N.m) |
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| 95 | EXTERNAL sig |
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| 96 | |
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[633] | 97 | REAL dN,dM |
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| 98 | REAL rate(nbin_cld) ! nucleation rate |
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| 99 | REAL seq |
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| 100 | |
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| 101 | REAL rice(ngrid,nlay) ! Ice mass mean radius (m) |
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| 102 | ! (r_c in montmessin_2004) |
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[1047] | 103 | REAL rhocloud(ngrid,nlay) ! Cloud density (kg.m-3) |
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| 104 | REAL rdust(ngrid,nlay) ! Dust geometric mean radius (m) |
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[633] | 105 | |
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| 106 | REAL res ! Resistance growth |
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[740] | 107 | |
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[633] | 108 | |
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[358] | 109 | c Parameters of the size discretization |
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| 110 | c used by the microphysical scheme |
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| 111 | DOUBLE PRECISION, PARAMETER :: rmin_cld = 0.1e-6 ! Minimum radius (m) |
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| 112 | DOUBLE PRECISION, PARAMETER :: rmax_cld = 10.e-6 ! Maximum radius (m) |
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| 113 | DOUBLE PRECISION, PARAMETER :: rbmin_cld = 0.0001e-6 |
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| 114 | ! Minimum boundary radius (m) |
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| 115 | DOUBLE PRECISION, PARAMETER :: rbmax_cld = 1.e-2 ! Maximum boundary radius (m) |
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| 116 | DOUBLE PRECISION vrat_cld ! Volume ratio |
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| 117 | DOUBLE PRECISION rb_cld(nbin_cld+1)! boundary values of each rad_cld bin (m) |
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| 118 | SAVE rb_cld |
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[520] | 119 | DOUBLE PRECISION dr_cld(nbin_cld) ! width of each rad_cld bin (m) |
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| 120 | DOUBLE PRECISION vol_cld(nbin_cld) ! particle volume for each bin (m3) |
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[358] | 121 | |
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[633] | 122 | |
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[358] | 123 | REAL sigma_ice ! Variance of the ice and CCN distributions |
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| 124 | SAVE sigma_ice |
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[633] | 125 | |
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| 126 | |
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[520] | 127 | |
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[420] | 128 | c---------------------------------- |
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[633] | 129 | c TESTS |
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| 130 | |
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| 131 | INTEGER countcells |
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[420] | 132 | |
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[626] | 133 | LOGICAL test_flag ! flag for test/debuging outputs |
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[740] | 134 | SAVE test_flag |
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| 135 | |
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| 136 | |
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| 137 | REAL satubf(ngrid,nlay),satuaf(ngrid,nlay) |
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| 138 | REAL res_out(ngrid,nlay) |
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[633] | 139 | |
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[358] | 140 | |
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| 141 | c------------------------------------------------------------------ |
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| 142 | |
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[1779] | 143 | ! AS: firstcall OK absolute |
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[358] | 144 | IF (firstcall) THEN |
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[626] | 145 | !============================================================= |
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| 146 | ! 0. Definition of the size grid |
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| 147 | !============================================================= |
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[358] | 148 | c rad_cld is the primary radius grid used for microphysics computation. |
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| 149 | c The grid spacing is computed assuming a constant volume ratio |
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| 150 | c between two consecutive bins; i.e. vrat_cld. |
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| 151 | c vrat_cld is determined from the boundary values of the size grid: |
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| 152 | c rmin_cld and rmax_cld. |
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| 153 | c The rb_cld array contains the boundary values of each rad_cld bin. |
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| 154 | c dr_cld is the width of each rad_cld bin. |
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| 155 | |
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| 156 | c Volume ratio between two adjacent bins |
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[1307] | 157 | ! vrat_cld = log(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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| 158 | ! vrat_cld = exp(vrat_cld) |
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[2151] | 159 | vrat_cld = log(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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| 160 | vrat_cld = exp(vrat_cld) |
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[358] | 161 | write(*,*) "vrat_cld", vrat_cld |
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| 162 | |
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| 163 | rb_cld(1) = rbmin_cld |
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| 164 | rad_cld(1) = rmin_cld |
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[530] | 165 | vol_cld(1) = 4./3. * dble(pi) * rmin_cld*rmin_cld*rmin_cld |
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[1307] | 166 | ! vol_cld(1) = 4./3. * pi * rmin_cld*rmin_cld*rmin_cld |
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[358] | 167 | |
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| 168 | do i=1,nbin_cld-1 |
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[531] | 169 | rad_cld(i+1) = rad_cld(i) * vrat_cld**(1./3.) |
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[358] | 170 | vol_cld(i+1) = vol_cld(i) * vrat_cld |
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| 171 | enddo |
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| 172 | |
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| 173 | do i=1,nbin_cld |
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[531] | 174 | rb_cld(i+1)= ( (2.*vrat_cld) / (vrat_cld+1.) )**(1./3.) * |
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[358] | 175 | & rad_cld(i) |
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| 176 | dr_cld(i) = rb_cld(i+1) - rb_cld(i) |
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| 177 | enddo |
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| 178 | rb_cld(nbin_cld+1) = rbmax_cld |
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| 179 | dr_cld(nbin_cld) = rb_cld(nbin_cld+1) - rb_cld(nbin_cld) |
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| 180 | |
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| 181 | print*, ' ' |
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| 182 | print*,'Microphysics: size bin information:' |
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| 183 | print*,'i,rb_cld(i), rad_cld(i),dr_cld(i)' |
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| 184 | print*,'-----------------------------------' |
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| 185 | do i=1,nbin_cld |
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| 186 | write(*,'(i2,3x,3(e12.6,4x))') i,rb_cld(i), rad_cld(i), |
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| 187 | & dr_cld(i) |
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| 188 | enddo |
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| 189 | write(*,'(i2,3x,e12.6)') nbin_cld+1,rb_cld(nbin_cld+1) |
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| 190 | print*,'-----------------------------------' |
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| 191 | |
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[541] | 192 | do i=1,nbin_cld+1 |
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[740] | 193 | ! rb_cld(i) = log(rb_cld(i)) |
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[2151] | 194 | rb_cld(i) = log(rb_cld(i)) !! we save that so that it is not computed |
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[541] | 195 | !! at each timestep and gridpoint |
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| 196 | enddo |
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| 197 | |
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[358] | 198 | c Contact parameter of water ice on dust ( m=cos(theta) ) |
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| 199 | c ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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| 200 | ! mteta = 0.95 |
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| 201 | write(*,*) 'water_param contact parameter:', mteta |
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| 202 | |
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| 203 | c Volume of a water molecule (m3) |
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| 204 | vo1 = mh2o / dble(rho_ice) |
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| 205 | c Variance of the ice and CCN distributions |
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| 206 | sigma_ice = sqrt(log(1.+nuice_sed)) |
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[633] | 207 | |
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| 208 | |
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[358] | 209 | write(*,*) 'Variance of ice & CCN distribs :', sigma_ice |
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[455] | 210 | write(*,*) 'nuice for sedimentation:', nuice_sed |
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[358] | 211 | write(*,*) 'Volume of a water molecule:', vo1 |
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| 212 | |
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[633] | 213 | |
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| 214 | test_flag = .false. |
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| 215 | |
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[358] | 216 | firstcall=.false. |
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| 217 | END IF |
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| 218 | |
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[633] | 219 | |
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[626] | 220 | !============================================================= |
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| 221 | ! 1. Initialisation |
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| 222 | !============================================================= |
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[1909] | 223 | cste = 4*pi*rho_ice*microtimestep |
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[626] | 224 | |
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[740] | 225 | res_out(:,:) = 0 |
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| 226 | rice(:,:) = 1.e-8 |
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| 227 | |
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[411] | 228 | c Initialize the tendencies |
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[1909] | 229 | subpdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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| 230 | subpdtcloud(1:ngrid,1:nlay)=0 |
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[633] | 231 | |
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[411] | 232 | |
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[633] | 233 | zt(1:ngrid,1:nlay) = |
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[1909] | 234 | & pteff(1:ngrid,1:nlay) + |
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| 235 | & sum_subpdt(1:ngrid,1:nlay) * microtimestep |
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[358] | 236 | |
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[633] | 237 | zq(1:ngrid,1:nlay,1:nq) = |
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[1909] | 238 | & pqeff(1:ngrid,1:nlay,1:nq) + |
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| 239 | & sum_subpdq(1:ngrid,1:nlay,1:nq) * microtimestep |
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[633] | 240 | |
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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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[768] | 244 | |
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| 245 | zq0(1:ngrid,1:nlay,1:nq) = zq(1:ngrid,1:nlay,1:nq) |
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[633] | 246 | |
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[626] | 247 | !============================================================= |
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| 248 | ! 2. Compute saturation |
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| 249 | !============================================================= |
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[358] | 250 | |
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[633] | 251 | |
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[541] | 252 | dev2 = 1. / ( sqrt(2.) * sigma_ice ) |
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[358] | 253 | |
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[1047] | 254 | call watersat(ngrid*nlay,zt,pplay,zqsat) |
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[358] | 255 | |
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[633] | 256 | countcells = 0 |
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[358] | 257 | |
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| 258 | c Main loop over the GCM's grid |
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| 259 | DO l=1,nlay |
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| 260 | DO ig=1,ngrid |
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| 261 | |
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| 262 | c Get the partial pressure of water vapor and its saturation ratio |
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[663] | 263 | ph2o = zq(ig,l,igcm_h2o_vap) * (mmean(ig,l)/18.) * pplay(ig,l) |
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[689] | 264 | satu = zq(ig,l,igcm_h2o_vap) / zqsat(ig,l) |
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[358] | 265 | |
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[626] | 266 | !============================================================= |
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| 267 | ! 3. Nucleation |
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| 268 | !============================================================= |
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| 269 | |
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[633] | 270 | IF ( satu .ge. 1. ) THEN ! if there is condensation |
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| 271 | |
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[740] | 272 | call updaterccn(zq(ig,l,igcm_dust_mass), |
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| 273 | & zq(ig,l,igcm_dust_number),rdust(ig,l),tauscaling(ig)) |
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[633] | 274 | |
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| 275 | |
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[358] | 276 | c Expand the dust moments into a binned distribution |
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[633] | 277 | Mo = zq(ig,l,igcm_dust_mass)* tauscaling(ig) + 1.e-30 |
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[626] | 278 | No = zq(ig,l,igcm_dust_number)* tauscaling(ig) + 1.e-30 |
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[358] | 279 | Rn = rdust(ig,l) |
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[2151] | 280 | Rn = -log(Rn) |
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[530] | 281 | Rm = Rn - 3. * sigma_ice*sigma_ice |
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[626] | 282 | n_derf = derf( (rb_cld(1)+Rn) *dev2) |
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| 283 | m_derf = derf( (rb_cld(1)+Rm) *dev2) |
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[358] | 284 | do i = 1, nbin_cld |
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[626] | 285 | n_aer(i) = -0.5 * No * n_derf !! this ith previously computed |
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| 286 | m_aer(i) = -0.5 * Mo * m_derf !! this ith previously computed |
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| 287 | n_derf = derf( (rb_cld(i+1)+Rn) *dev2) |
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| 288 | m_derf = derf( (rb_cld(i+1)+Rm) *dev2) |
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| 289 | n_aer(i) = n_aer(i) + 0.5 * No * n_derf |
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| 290 | m_aer(i) = m_aer(i) + 0.5 * Mo * m_derf |
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[358] | 291 | enddo |
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[530] | 292 | |
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[358] | 293 | ! sumcheck = 0 |
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| 294 | ! do i = 1, nbin_cld |
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| 295 | ! sumcheck = sumcheck + n_aer(i) |
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| 296 | ! enddo |
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| 297 | ! sumcheck = abs(sumcheck/No - 1) |
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| 298 | ! if ((sumcheck .gt. 1e-5).and. (1./Rn .gt. rmin_cld)) then |
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| 299 | ! print*, "WARNING, No sumcheck PROBLEM" |
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| 300 | ! print*, "sumcheck, No",sumcheck, No |
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| 301 | ! print*, "min radius, Rn, ig, l", rmin_cld, 1./Rn, ig, l |
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| 302 | ! print*, "Dust binned distribution", n_aer |
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| 303 | ! endif |
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| 304 | ! |
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| 305 | ! sumcheck = 0 |
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| 306 | ! do i = 1, nbin_cld |
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[411] | 307 | ! sumcheck = sumcheck + m_aer(i) |
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[358] | 308 | ! enddo |
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| 309 | ! sumcheck = abs(sumcheck/Mo - 1) |
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| 310 | ! if ((sumcheck .gt. 1e-5) .and. (1./Rn .gt. rmin_cld)) then |
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| 311 | ! print*, "WARNING, Mo sumcheck PROBLEM" |
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[411] | 312 | ! print*, "sumcheck, Mo",sumcheck, Mo |
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[358] | 313 | ! print*, "min radius, Rm, ig, l", rmin_cld, 1./Rm, ig, l |
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| 314 | ! print*, "Dust binned distribution", m_aer |
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| 315 | ! endif |
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[633] | 316 | |
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| 317 | |
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[358] | 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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[411] | 320 | |
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[358] | 321 | dN = 0. |
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| 322 | dM = 0. |
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| 323 | do i = 1, nbin_cld |
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[1909] | 324 | n_aer(i) = n_aer(i)/( 1. + rate(i)*microtimestep) |
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| 325 | m_aer(i) = m_aer(i)/( 1. + rate(i)*microtimestep) |
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| 326 | dN = dN + n_aer(i) * rate(i) * microtimestep |
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| 327 | dM = dM + m_aer(i) * rate(i) * microtimestep |
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[358] | 328 | enddo |
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| 329 | |
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[633] | 330 | |
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| 331 | c Update Dust particles |
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[626] | 332 | zq(ig,l,igcm_dust_mass) = |
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[740] | 333 | & zq(ig,l,igcm_dust_mass) - dM/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[626] | 334 | zq(ig,l,igcm_dust_number) = |
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[740] | 335 | & zq(ig,l,igcm_dust_number) - dN/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[633] | 336 | c Update CCNs |
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[626] | 337 | zq(ig,l,igcm_ccn_mass) = |
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[740] | 338 | & zq(ig,l,igcm_ccn_mass) + dM/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[626] | 339 | zq(ig,l,igcm_ccn_number) = |
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[740] | 340 | & zq(ig,l,igcm_ccn_number) + dN/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[626] | 341 | |
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[633] | 342 | ENDIF ! of is satu >1 |
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[626] | 343 | |
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| 344 | !============================================================= |
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| 345 | ! 4. Ice growth: scheme for radius evolution |
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| 346 | !============================================================= |
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| 347 | |
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[633] | 348 | c We trigger crystal growth if and only if there is at least one nuclei (N>1). |
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| 349 | c Indeed, if we are supersaturated and still don't have at least one nuclei, we should better wait |
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| 350 | c to avoid unrealistic value for nuclei radius and so on for cases that remain negligible. |
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| 351 | |
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| 352 | IF ( zq(ig,l,igcm_ccn_number)*tauscaling(ig).ge. 1.) THEN ! we trigger crystal growth |
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| 353 | |
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[740] | 354 | |
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| 355 | call updaterice_micro(zq(ig,l,igcm_h2o_ice), |
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| 356 | & zq(ig,l,igcm_ccn_mass),zq(ig,l,igcm_ccn_number), |
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| 357 | & tauscaling(ig),rice(ig,l),rhocloud(ig,l)) |
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[633] | 358 | |
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| 359 | No = zq(ig,l,igcm_ccn_number)* tauscaling(ig) + 1.e-30 |
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[626] | 360 | |
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| 361 | c saturation at equilibrium |
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[740] | 362 | c rice should not be too small, otherwise seq value is not valid |
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| 363 | seq = exp(2.*sig(zt(ig,l))*mh2o / (rho_ice*rgp*zt(ig,l)* |
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| 364 | & max(rice(ig,l),1.e-7))) |
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| 365 | |
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[633] | 366 | c get resistance growth |
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| 367 | call growthrate(zt(ig,l),pplay(ig,l), |
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| 368 | & real(ph2o/satu),rice(ig,l),res) |
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[358] | 369 | |
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[740] | 370 | res_out(ig,l) = res |
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[626] | 371 | |
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[633] | 372 | ccccccc implicit scheme of mass growth |
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[626] | 373 | |
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[633] | 374 | dMice = |
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| 375 | & (zq(ig,l,igcm_h2o_vap)-seq*zqsat(ig,l)) |
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| 376 | & /(res*zqsat(ig,l)/(cste*No*rice(ig,l)) + 1.) |
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[358] | 377 | |
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[626] | 378 | |
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[633] | 379 | ! With the above scheme, dMice cannot be bigger than vapor, |
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| 380 | ! but can be bigger than all available ice. |
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| 381 | dMice = max(dMice,-zq(ig,l,igcm_h2o_ice)) |
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| 382 | dMice = min(dMice,zq(ig,l,igcm_h2o_vap)) ! this should be useless... |
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| 383 | |
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| 384 | zq(ig,l,igcm_h2o_ice) = zq(ig,l,igcm_h2o_ice)+dMice |
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| 385 | zq(ig,l,igcm_h2o_vap) = zq(ig,l,igcm_h2o_vap)-dMice |
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| 386 | |
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| 387 | |
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| 388 | countcells = countcells + 1 |
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| 389 | |
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| 390 | ! latent heat release |
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| 391 | lw=(2834.3-0.28*(zt(ig,l)-To)- |
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| 392 | & 0.004*(zt(ig,l)-To)*(zt(ig,l)-To))*1.e+3 |
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[1909] | 393 | subpdtcloud(ig,l)= dMice*lw/cpp/microtimestep |
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[358] | 394 | |
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[626] | 395 | |
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[358] | 396 | |
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[626] | 397 | !============================================================= |
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| 398 | ! 5. Dust cores released, tendancies, latent heat, etc ... |
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| 399 | !============================================================= |
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| 400 | |
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[358] | 401 | c If all the ice particles sublimate, all the condensation |
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[626] | 402 | c nuclei are released: |
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[1307] | 403 | if (zq(ig,l,igcm_h2o_ice).le.1.e-28) then |
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[633] | 404 | |
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[626] | 405 | c Water |
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| 406 | zq(ig,l,igcm_h2o_vap) = zq(ig,l,igcm_h2o_vap) |
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| 407 | & + zq(ig,l,igcm_h2o_ice) |
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[358] | 408 | zq(ig,l,igcm_h2o_ice) = 0. |
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| 409 | c Dust particles |
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[626] | 410 | zq(ig,l,igcm_dust_mass) = zq(ig,l,igcm_dust_mass) |
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| 411 | & + zq(ig,l,igcm_ccn_mass) |
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| 412 | zq(ig,l,igcm_dust_number) = zq(ig,l,igcm_dust_number) |
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| 413 | & + zq(ig,l,igcm_ccn_number) |
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[358] | 414 | c CCNs |
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| 415 | zq(ig,l,igcm_ccn_mass) = 0. |
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| 416 | zq(ig,l,igcm_ccn_number) = 0. |
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[633] | 417 | |
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[358] | 418 | endif |
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[411] | 419 | |
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[633] | 420 | ENDIF !of if Nccn>1 |
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| 421 | |
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[626] | 422 | ENDDO ! of ig loop |
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| 423 | ENDDO ! of nlayer loop |
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[520] | 424 | |
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[633] | 425 | |
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| 426 | ! Get cloud tendencies |
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[1909] | 427 | subpdqcloud(1:ngrid,1:nlay,igcm_h2o_vap) = |
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[740] | 428 | & (zq(1:ngrid,1:nlay,igcm_h2o_vap) - |
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[1909] | 429 | & zq0(1:ngrid,1:nlay,igcm_h2o_vap))/microtimestep |
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| 430 | subpdqcloud(1:ngrid,1:nlay,igcm_h2o_ice) = |
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[740] | 431 | & (zq(1:ngrid,1:nlay,igcm_h2o_ice) - |
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[1909] | 432 | & zq0(1:ngrid,1:nlay,igcm_h2o_ice))/microtimestep |
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| 433 | subpdqcloud(1:ngrid,1:nlay,igcm_ccn_mass) = |
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[740] | 434 | & (zq(1:ngrid,1:nlay,igcm_ccn_mass) - |
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[1909] | 435 | & zq0(1:ngrid,1:nlay,igcm_ccn_mass))/microtimestep |
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| 436 | subpdqcloud(1:ngrid,1:nlay,igcm_ccn_number) = |
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[740] | 437 | & (zq(1:ngrid,1:nlay,igcm_ccn_number) - |
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[1909] | 438 | & zq0(1:ngrid,1:nlay,igcm_ccn_number))/microtimestep |
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[411] | 439 | |
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[740] | 440 | if (scavenging) then |
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[633] | 441 | |
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[1909] | 442 | subpdqcloud(1:ngrid,1:nlay,igcm_dust_mass) = |
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[740] | 443 | & (zq(1:ngrid,1:nlay,igcm_dust_mass) - |
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[1909] | 444 | & zq0(1:ngrid,1:nlay,igcm_dust_mass))/microtimestep |
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| 445 | subpdqcloud(1:ngrid,1:nlay,igcm_dust_number) = |
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[740] | 446 | & (zq(1:ngrid,1:nlay,igcm_dust_number) - |
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[1909] | 447 | & zq0(1:ngrid,1:nlay,igcm_dust_number))/microtimestep |
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[740] | 448 | |
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| 449 | endif |
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[633] | 450 | |
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[740] | 451 | |
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| 452 | |
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[626] | 453 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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| 454 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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[740] | 455 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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[626] | 456 | IF (test_flag) then |
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| 457 | |
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[633] | 458 | ! error2d(:) = 0. |
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[740] | 459 | DO l=1,nlay |
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| 460 | DO ig=1,ngrid |
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[633] | 461 | ! error2d(ig) = max(abs(error_out(ig,l)),error2d(ig)) |
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[740] | 462 | satubf(ig,l) = zq0(ig,l,igcm_h2o_vap)/zqsat(ig,l) |
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| 463 | satuaf(ig,l) = zq(ig,l,igcm_h2o_vap)/zqsat(ig,l) |
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| 464 | ENDDO |
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| 465 | ENDDO |
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[420] | 466 | |
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[633] | 467 | print*, 'count is ',countcells, ' i.e. ', |
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| 468 | & countcells*100/(nlay*ngrid), '% for microphys computation' |
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[358] | 469 | |
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[1212] | 470 | #ifndef MESOSCALE |
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[633] | 471 | ! IF (ngrid.ne.1) THEN ! 3D |
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[626] | 472 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",3, |
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| 473 | ! & satu_out) |
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| 474 | ! call WRITEDIAGFI(ngrid,"dM","ccn variation","kg/kg",3, |
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| 475 | ! & dM_out) |
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| 476 | ! call WRITEDIAGFI(ngrid,"dN","ccn variation","#",3, |
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| 477 | ! & dN_out) |
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[633] | 478 | ! call WRITEDIAGFI(ngrid,"error","dichotomy max error","%",2, |
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| 479 | ! & error2d) |
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[626] | 480 | ! call WRITEDIAGFI(ngrid,"zqsat","zqsat","kg",3, |
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| 481 | ! & zqsat) |
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[633] | 482 | ! ENDIF |
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[358] | 483 | |
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[633] | 484 | ! IF (ngrid.eq.1) THEN ! 1D |
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| 485 | ! call WRITEDIAGFI(ngrid,"error","incertitude sur glace","%",1, |
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| 486 | ! & error_out) |
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[740] | 487 | call WRITEdiagfi(ngrid,"resist","resistance","s/m2",1, |
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| 488 | & res_out) |
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| 489 | call WRITEdiagfi(ngrid,"satu_bf","satu before","kg/kg",1, |
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| 490 | & satubf) |
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| 491 | call WRITEdiagfi(ngrid,"satu_af","satu after","kg/kg",1, |
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| 492 | & satuaf) |
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| 493 | call WRITEdiagfi(ngrid,"vapbf","h2ovap before","kg/kg",1, |
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[1020] | 494 | & zq0(1,1,igcm_h2o_vap)) |
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[740] | 495 | call WRITEdiagfi(ngrid,"vapaf","h2ovap after","kg/kg",1, |
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[1020] | 496 | & zq(1,1,igcm_h2o_vap)) |
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[740] | 497 | call WRITEdiagfi(ngrid,"icebf","h2oice before","kg/kg",1, |
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[1020] | 498 | & zq0(1,1,igcm_h2o_ice)) |
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[740] | 499 | call WRITEdiagfi(ngrid,"iceaf","h2oice after","kg/kg",1, |
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[1020] | 500 | & zq(1,1,igcm_h2o_ice)) |
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[740] | 501 | call WRITEdiagfi(ngrid,"ccnbf","ccn before","/kg",1, |
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[1020] | 502 | & zq0(1,1,igcm_ccn_number)) |
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[740] | 503 | call WRITEdiagfi(ngrid,"ccnaf","ccn after","/kg",1, |
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[1020] | 504 | & zq(1,1,igcm_ccn_number)) |
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[626] | 505 | c call WRITEDIAGFI(ngrid,"growthrate","growth rate","m^2/s",1, |
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| 506 | c & gr_out) |
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| 507 | c call WRITEDIAGFI(ngrid,"nuclearate","nucleation rate","",1, |
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| 508 | c & rate_out) |
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| 509 | c call WRITEDIAGFI(ngrid,"dM","ccn variation","kg",1, |
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| 510 | c & dM_out) |
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| 511 | c call WRITEDIAGFI(ngrid,"dN","ccn variation","#",1, |
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| 512 | c & dN_out) |
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[740] | 513 | call WRITEdiagfi(ngrid,"zqsat","p vap sat","kg/kg",1, |
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| 514 | & zqsat) |
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[633] | 515 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",1, |
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| 516 | ! & satu_out) |
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[740] | 517 | call WRITEdiagfi(ngrid,"rice","ice radius","m",1, |
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| 518 | & rice) |
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[633] | 519 | ! call WRITEDIAGFI(ngrid,"rdust_sca","rdust","m",1, |
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| 520 | ! & rdust) |
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| 521 | ! call WRITEDIAGFI(ngrid,"rsedcloud","rsedcloud","m",1, |
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| 522 | ! & rsedcloud) |
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| 523 | ! call WRITEDIAGFI(ngrid,"rhocloud","rhocloud","kg.m-3",1, |
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| 524 | ! & rhocloud) |
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| 525 | ! ENDIF |
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[1212] | 526 | #endif |
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[626] | 527 | |
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| 528 | ENDIF ! endif test_flag |
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| 529 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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| 530 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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| 531 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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| 532 | |
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[358] | 533 | return |
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[1963] | 534 | |
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[626] | 535 | |
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| 536 | |
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| 537 | |
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| 538 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 539 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 540 | c The so -called "phi" function is such as phi(r) - phi(r0) = t - t0 |
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| 541 | c It is an analytical solution to the ice radius growth equation, |
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| 542 | c with the approximation of a constant 'reduced' cunningham correction factor |
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| 543 | c (lambda in growthrate.F) taken at radius req instead of rice |
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| 544 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 545 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 546 | |
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[633] | 547 | c subroutine phi(rice,req,coeff1,coeff2,time) |
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| 548 | c |
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| 549 | c implicit none |
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| 550 | c |
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| 551 | c ! inputs |
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| 552 | c real rice ! ice radius |
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| 553 | c real req ! ice radius at equilibirum |
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| 554 | c real coeff1 ! coeff for the log |
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| 555 | c real coeff2 ! coeff for the arctan |
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| 556 | c |
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| 557 | c ! output |
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| 558 | c real time |
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| 559 | c |
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| 560 | c !local |
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| 561 | c real var |
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| 562 | c |
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| 563 | c ! 1.73205 is sqrt(3) |
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| 564 | c |
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| 565 | c var = max( |
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| 566 | c & abs(rice-req) / sqrt(rice*rice + rice*req + req*req),1e-30) |
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| 567 | c |
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| 568 | c time = |
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| 569 | c & coeff1 * |
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| 570 | c & log( var ) |
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| 571 | c & + coeff2 * 1.73205 * |
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| 572 | c & atan( (2*rice+req) / (1.73205*req) ) |
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| 573 | c |
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| 574 | c return |
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| 575 | c end |
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[626] | 576 | |
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| 577 | |
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| 578 | |
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[1963] | 579 | END SUBROUTINE improvedclouds |
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| 580 | |
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| 581 | END MODULE improvedclouds_mod |
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