[358] | 1 | subroutine improvedclouds(ngrid,nlay,ptimestep, |
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[633] | 2 | & pplay,pt,pdt, |
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[520] | 3 | & pq,pdq,pdqcloud,pdtcloud, |
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[633] | 4 | & nq,tauscaling) |
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[520] | 5 | ! to use 'getin' |
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| 6 | USE ioipsl_getincom |
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[740] | 7 | USE updaterad |
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[358] | 8 | implicit none |
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[633] | 9 | |
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| 10 | |
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[358] | 11 | c------------------------------------------------------------------ |
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| 12 | c This routine is used to form clouds when a parcel of the GCM is |
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| 13 | c saturated. It includes the ability to have supersaturation, a |
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| 14 | c computation of the nucleation rates, growthrates and the |
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| 15 | c scavenging of dust particles by clouds. |
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| 16 | c It is worth noting that the amount of dust is computed using the |
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| 17 | c dust optical depth computed in aeropacity.F. That's why |
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| 18 | c the variable called "tauscaling" is used to convert |
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| 19 | c pq(dust_mass) and pq(dust_number), which are relative |
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| 20 | c quantities, to absolute and realistic quantities stored in zq. |
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| 21 | c This has to be done to convert the inputs into absolute |
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| 22 | c values, but also to convert the outputs back into relative |
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| 23 | c values which are then used by the sedimentation and advection |
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| 24 | c schemes. |
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| 25 | |
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| 26 | c Authors: J.-B. Madeleine, based on the work by Franck Montmessin |
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| 27 | c (October 2011) |
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[626] | 28 | c T. Navarro, debug,correction, new scheme (October-April 2011) |
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[530] | 29 | c A. Spiga, optimization (February 2012) |
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[358] | 30 | c------------------------------------------------------------------ |
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| 31 | #include "dimensions.h" |
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| 32 | #include "dimphys.h" |
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| 33 | #include "comcstfi.h" |
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| 34 | #include "callkeys.h" |
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| 35 | #include "tracer.h" |
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| 36 | #include "comgeomfi.h" |
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| 37 | #include "dimradmars.h" |
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| 38 | #include "microphys.h" |
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[663] | 39 | #include "conc.h" |
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[358] | 40 | c------------------------------------------------------------------ |
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| 41 | c Inputs: |
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| 42 | |
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| 43 | INTEGER ngrid,nlay |
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| 44 | integer nq ! nombre de traceurs |
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| 45 | REAL ptimestep ! pas de temps physique (s) |
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[520] | 46 | REAL pplay(ngrid,nlay) ! pression au milieu des couches (Pa) |
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| 47 | |
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[358] | 48 | REAL pt(ngrid,nlay) ! temperature at the middle of the |
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| 49 | ! layers (K) |
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| 50 | REAL pdt(ngrid,nlay) ! tendance temperature des autres |
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| 51 | ! param. |
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| 52 | REAL pq(ngrid,nlay,nq) ! traceur (kg/kg) |
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| 53 | REAL pdq(ngrid,nlay,nq) ! tendance avant condensation |
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| 54 | ! (kg/kg.s-1) |
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| 55 | REAL tauscaling(ngridmx) ! Convertion factor for qdust and Ndust |
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| 56 | |
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| 57 | c Outputs: |
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| 58 | REAL pdqcloud(ngrid,nlay,nq) ! tendance de la condensation |
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| 59 | ! H2O(kg/kg.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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[740] | 72 | |
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[358] | 73 | INTEGER ig,l,i |
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[520] | 74 | |
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[358] | 75 | REAL zq(ngridmx,nlayermx,nqmx) ! local value of tracers |
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| 76 | REAL zq0(ngridmx,nlayermx,nqmx) ! local initial value of tracers |
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| 77 | REAL zt(ngridmx,nlayermx) ! local value of temperature |
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| 78 | REAL zqsat(ngridmx,nlayermx) ! saturation |
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| 79 | REAL lw !Latent heat of sublimation (J.kg-1) |
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[633] | 80 | REAL cste |
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| 81 | REAL dMice ! mass of condensed ice |
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| 82 | ! REAL sumcheck |
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[358] | 83 | REAL*8 ph2o ! Water vapor partial pressure (Pa) |
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| 84 | REAL*8 satu ! Water vapor saturation ratio over ice |
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| 85 | REAL*8 Mo,No |
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[633] | 86 | REAL*8 Rn, Rm, dev2, n_derf, m_derf |
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[358] | 87 | REAL*8 n_aer(nbin_cld) ! number conc. of particle/each size bin |
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| 88 | REAL*8 m_aer(nbin_cld) ! mass mixing ratio of particle/each size bin |
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[633] | 89 | |
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[358] | 90 | REAL*8 sig ! Water-ice/air surface tension (N.m) |
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| 91 | EXTERNAL sig |
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| 92 | |
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[633] | 93 | REAL dN,dM |
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| 94 | REAL rate(nbin_cld) ! nucleation rate |
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| 95 | REAL seq |
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| 96 | |
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| 97 | REAL rice(ngrid,nlay) ! Ice mass mean radius (m) |
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| 98 | ! (r_c in montmessin_2004) |
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| 99 | REAL rhocloud(ngridmx,nlayermx) ! Cloud density (kg.m-3) |
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| 100 | REAL rdust(ngridmx,nlayermx) ! Dust geometric mean radius (m) |
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| 101 | |
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| 102 | REAL res ! Resistance growth |
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[740] | 103 | |
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[633] | 104 | |
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[358] | 105 | c Parameters of the size discretization |
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| 106 | c used by the microphysical scheme |
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| 107 | DOUBLE PRECISION, PARAMETER :: rmin_cld = 0.1e-6 ! Minimum radius (m) |
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| 108 | DOUBLE PRECISION, PARAMETER :: rmax_cld = 10.e-6 ! Maximum radius (m) |
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| 109 | DOUBLE PRECISION, PARAMETER :: rbmin_cld = 0.0001e-6 |
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| 110 | ! Minimum boundary radius (m) |
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| 111 | DOUBLE PRECISION, PARAMETER :: rbmax_cld = 1.e-2 ! Maximum boundary radius (m) |
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| 112 | DOUBLE PRECISION vrat_cld ! Volume ratio |
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| 113 | DOUBLE PRECISION rb_cld(nbin_cld+1)! boundary values of each rad_cld bin (m) |
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| 114 | SAVE rb_cld |
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[520] | 115 | DOUBLE PRECISION dr_cld(nbin_cld) ! width of each rad_cld bin (m) |
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| 116 | DOUBLE PRECISION vol_cld(nbin_cld) ! particle volume for each bin (m3) |
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[358] | 117 | |
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[633] | 118 | |
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[358] | 119 | REAL sigma_ice ! Variance of the ice and CCN distributions |
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| 120 | SAVE sigma_ice |
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[633] | 121 | |
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| 122 | |
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[520] | 123 | |
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[420] | 124 | c---------------------------------- |
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[633] | 125 | c TESTS |
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| 126 | |
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| 127 | INTEGER countcells |
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[420] | 128 | |
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[626] | 129 | LOGICAL test_flag ! flag for test/debuging outputs |
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[740] | 130 | SAVE test_flag |
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| 131 | |
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| 132 | |
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| 133 | REAL satubf(ngrid,nlay),satuaf(ngrid,nlay) |
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| 134 | REAL res_out(ngrid,nlay) |
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[633] | 135 | |
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[358] | 136 | |
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| 137 | c------------------------------------------------------------------ |
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| 138 | |
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| 139 | IF (firstcall) THEN |
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[626] | 140 | !============================================================= |
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| 141 | ! 0. Definition of the size grid |
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| 142 | !============================================================= |
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[358] | 143 | c rad_cld is the primary radius grid used for microphysics computation. |
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| 144 | c The grid spacing is computed assuming a constant volume ratio |
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| 145 | c between two consecutive bins; i.e. vrat_cld. |
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| 146 | c vrat_cld is determined from the boundary values of the size grid: |
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| 147 | c rmin_cld and rmax_cld. |
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| 148 | c The rb_cld array contains the boundary values of each rad_cld bin. |
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| 149 | c dr_cld is the width of each rad_cld bin. |
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| 150 | |
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| 151 | c Volume ratio between two adjacent bins |
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[633] | 152 | ! vrat_cld = log(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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| 153 | ! vrat_cld = exp(vrat_cld) |
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[358] | 154 | vrat_cld = dlog(rmax_cld/rmin_cld) / float(nbin_cld-1) *3. |
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| 155 | vrat_cld = dexp(vrat_cld) |
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| 156 | write(*,*) "vrat_cld", vrat_cld |
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| 157 | |
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| 158 | rb_cld(1) = rbmin_cld |
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| 159 | rad_cld(1) = rmin_cld |
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[530] | 160 | vol_cld(1) = 4./3. * dble(pi) * rmin_cld*rmin_cld*rmin_cld |
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[633] | 161 | ! vol_cld(1) = 4./3. * pi * rmin_cld*rmin_cld*rmin_cld |
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[358] | 162 | |
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| 163 | do i=1,nbin_cld-1 |
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[531] | 164 | rad_cld(i+1) = rad_cld(i) * vrat_cld**(1./3.) |
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[358] | 165 | vol_cld(i+1) = vol_cld(i) * vrat_cld |
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| 166 | enddo |
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| 167 | |
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| 168 | do i=1,nbin_cld |
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[531] | 169 | rb_cld(i+1)= ( (2.*vrat_cld) / (vrat_cld+1.) )**(1./3.) * |
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[358] | 170 | & rad_cld(i) |
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| 171 | dr_cld(i) = rb_cld(i+1) - rb_cld(i) |
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| 172 | enddo |
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| 173 | rb_cld(nbin_cld+1) = rbmax_cld |
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| 174 | dr_cld(nbin_cld) = rb_cld(nbin_cld+1) - rb_cld(nbin_cld) |
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| 175 | |
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| 176 | print*, ' ' |
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| 177 | print*,'Microphysics: size bin information:' |
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| 178 | print*,'i,rb_cld(i), rad_cld(i),dr_cld(i)' |
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| 179 | print*,'-----------------------------------' |
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| 180 | do i=1,nbin_cld |
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| 181 | write(*,'(i2,3x,3(e12.6,4x))') i,rb_cld(i), rad_cld(i), |
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| 182 | & dr_cld(i) |
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| 183 | enddo |
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| 184 | write(*,'(i2,3x,e12.6)') nbin_cld+1,rb_cld(nbin_cld+1) |
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| 185 | print*,'-----------------------------------' |
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| 186 | |
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[541] | 187 | do i=1,nbin_cld+1 |
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[740] | 188 | ! rb_cld(i) = log(rb_cld(i)) |
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[541] | 189 | rb_cld(i) = dlog(rb_cld(i)) !! we save that so that it is not computed |
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| 190 | !! at each timestep and gridpoint |
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| 191 | enddo |
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| 192 | |
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[358] | 193 | c Contact parameter of water ice on dust ( m=cos(theta) ) |
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| 194 | c ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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| 195 | ! mteta = 0.95 |
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| 196 | write(*,*) 'water_param contact parameter:', mteta |
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| 197 | |
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| 198 | c Volume of a water molecule (m3) |
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| 199 | vo1 = mh2o / dble(rho_ice) |
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| 200 | c Variance of the ice and CCN distributions |
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| 201 | sigma_ice = sqrt(log(1.+nuice_sed)) |
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[633] | 202 | |
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| 203 | |
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[358] | 204 | write(*,*) 'Variance of ice & CCN distribs :', sigma_ice |
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[455] | 205 | write(*,*) 'nuice for sedimentation:', nuice_sed |
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[358] | 206 | write(*,*) 'Volume of a water molecule:', vo1 |
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| 207 | |
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[633] | 208 | |
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| 209 | test_flag = .false. |
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| 210 | |
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[358] | 211 | firstcall=.false. |
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| 212 | END IF |
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| 213 | |
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[633] | 214 | |
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[626] | 215 | !============================================================= |
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| 216 | ! 1. Initialisation |
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| 217 | !============================================================= |
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[633] | 218 | cste = 4*pi*rho_ice*ptimestep |
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[626] | 219 | |
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[740] | 220 | res_out(:,:) = 0 |
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| 221 | rice(:,:) = 1.e-8 |
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| 222 | |
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[411] | 223 | c Initialize the tendencies |
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| 224 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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| 225 | pdtcloud(1:ngrid,1:nlay)=0 |
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[633] | 226 | |
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| 227 | c Initialize the tendencies |
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| 228 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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| 229 | pdtcloud(1:ngrid,1:nlay)=0 |
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[411] | 230 | |
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[633] | 231 | c Initialize the tendencies |
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| 232 | pdqcloud(1:ngrid,1:nlay,1:nq)=0 |
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| 233 | pdtcloud(1:ngrid,1:nlay)=0 |
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| 234 | |
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| 235 | |
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| 236 | zt(1:ngrid,1:nlay) = |
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| 237 | & pt(1:ngrid,1:nlay) + |
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| 238 | & pdt(1:ngrid,1:nlay) * ptimestep |
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[358] | 239 | |
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[633] | 240 | zq(1:ngrid,1:nlay,1:nq) = |
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| 241 | & pq(1:ngrid,1:nlay,1:nq) + |
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| 242 | & pdq(1:ngrid,1:nlay,1:nq) * ptimestep |
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| 243 | |
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| 244 | |
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| 245 | WHERE( zq(1:ngrid,1:nlay,1:nq) < 1.e-30 ) |
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| 246 | & zq(1:ngrid,1:nlay,1:nq) = 1.e-30 |
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[768] | 247 | |
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| 248 | zq0(1:ngrid,1:nlay,1:nq) = zq(1:ngrid,1:nlay,1:nq) |
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[633] | 249 | |
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[626] | 250 | !============================================================= |
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| 251 | ! 2. Compute saturation |
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| 252 | !============================================================= |
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[358] | 253 | |
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[633] | 254 | |
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[541] | 255 | dev2 = 1. / ( sqrt(2.) * sigma_ice ) |
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[358] | 256 | |
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| 257 | call watersat(ngridmx*nlayermx,zt,pplay,zqsat) |
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| 258 | |
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[633] | 259 | countcells = 0 |
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[358] | 260 | |
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| 261 | c Main loop over the GCM's grid |
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| 262 | DO l=1,nlay |
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| 263 | DO ig=1,ngrid |
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| 264 | |
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| 265 | c Get the partial pressure of water vapor and its saturation ratio |
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[663] | 266 | ph2o = zq(ig,l,igcm_h2o_vap) * (mmean(ig,l)/18.) * pplay(ig,l) |
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[689] | 267 | satu = zq(ig,l,igcm_h2o_vap) / zqsat(ig,l) |
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[358] | 268 | |
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[626] | 269 | !============================================================= |
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| 270 | ! 3. Nucleation |
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| 271 | !============================================================= |
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| 272 | |
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[633] | 273 | IF ( satu .ge. 1. ) THEN ! if there is condensation |
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| 274 | |
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[740] | 275 | call updaterccn(zq(ig,l,igcm_dust_mass), |
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| 276 | & zq(ig,l,igcm_dust_number),rdust(ig,l),tauscaling(ig)) |
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[633] | 277 | |
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| 278 | |
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[358] | 279 | c Expand the dust moments into a binned distribution |
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[633] | 280 | Mo = zq(ig,l,igcm_dust_mass)* tauscaling(ig) + 1.e-30 |
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[626] | 281 | No = zq(ig,l,igcm_dust_number)* tauscaling(ig) + 1.e-30 |
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[358] | 282 | Rn = rdust(ig,l) |
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[530] | 283 | Rn = -dlog(Rn) |
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| 284 | Rm = Rn - 3. * sigma_ice*sigma_ice |
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[626] | 285 | n_derf = derf( (rb_cld(1)+Rn) *dev2) |
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| 286 | m_derf = derf( (rb_cld(1)+Rm) *dev2) |
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[358] | 287 | do i = 1, nbin_cld |
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[626] | 288 | n_aer(i) = -0.5 * No * n_derf !! this ith previously computed |
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| 289 | m_aer(i) = -0.5 * Mo * m_derf !! this ith previously computed |
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| 290 | n_derf = derf( (rb_cld(i+1)+Rn) *dev2) |
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| 291 | m_derf = derf( (rb_cld(i+1)+Rm) *dev2) |
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| 292 | n_aer(i) = n_aer(i) + 0.5 * No * n_derf |
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| 293 | m_aer(i) = m_aer(i) + 0.5 * Mo * m_derf |
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[358] | 294 | enddo |
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[530] | 295 | |
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[358] | 296 | ! sumcheck = 0 |
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| 297 | ! do i = 1, nbin_cld |
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| 298 | ! sumcheck = sumcheck + n_aer(i) |
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| 299 | ! enddo |
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| 300 | ! sumcheck = abs(sumcheck/No - 1) |
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| 301 | ! if ((sumcheck .gt. 1e-5).and. (1./Rn .gt. rmin_cld)) then |
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| 302 | ! print*, "WARNING, No sumcheck PROBLEM" |
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| 303 | ! print*, "sumcheck, No",sumcheck, No |
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| 304 | ! print*, "min radius, Rn, ig, l", rmin_cld, 1./Rn, ig, l |
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| 305 | ! print*, "Dust binned distribution", n_aer |
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| 306 | ! endif |
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| 307 | ! |
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| 308 | ! sumcheck = 0 |
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| 309 | ! do i = 1, nbin_cld |
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[411] | 310 | ! sumcheck = sumcheck + m_aer(i) |
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[358] | 311 | ! enddo |
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| 312 | ! sumcheck = abs(sumcheck/Mo - 1) |
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| 313 | ! if ((sumcheck .gt. 1e-5) .and. (1./Rn .gt. rmin_cld)) then |
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| 314 | ! print*, "WARNING, Mo sumcheck PROBLEM" |
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[411] | 315 | ! print*, "sumcheck, Mo",sumcheck, Mo |
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[358] | 316 | ! print*, "min radius, Rm, ig, l", rmin_cld, 1./Rm, ig, l |
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| 317 | ! print*, "Dust binned distribution", m_aer |
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| 318 | ! endif |
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[633] | 319 | |
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| 320 | |
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[358] | 321 | c Get the rates of nucleation |
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| 322 | call nuclea(ph2o,zt(ig,l),satu,n_aer,rate) |
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[411] | 323 | |
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[358] | 324 | dN = 0. |
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| 325 | dM = 0. |
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| 326 | do i = 1, nbin_cld |
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[633] | 327 | n_aer(i) = n_aer(i)/( 1. + rate(i)*ptimestep) |
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| 328 | m_aer(i) = m_aer(i)/( 1. + rate(i)*ptimestep) |
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[358] | 329 | dN = dN + n_aer(i) * rate(i) * ptimestep |
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| 330 | dM = dM + m_aer(i) * rate(i) * ptimestep |
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| 331 | enddo |
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| 332 | |
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[633] | 333 | |
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| 334 | c Update Dust particles |
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[626] | 335 | zq(ig,l,igcm_dust_mass) = |
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[740] | 336 | & zq(ig,l,igcm_dust_mass) - dM/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[626] | 337 | zq(ig,l,igcm_dust_number) = |
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[740] | 338 | & zq(ig,l,igcm_dust_number) - dN/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[633] | 339 | c Update CCNs |
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[626] | 340 | zq(ig,l,igcm_ccn_mass) = |
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[740] | 341 | & zq(ig,l,igcm_ccn_mass) + dM/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[626] | 342 | zq(ig,l,igcm_ccn_number) = |
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[740] | 343 | & zq(ig,l,igcm_ccn_number) + dN/ tauscaling(ig) !max(tauscaling(ig),1.e-10) |
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[626] | 344 | |
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[633] | 345 | ENDIF ! of is satu >1 |
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[626] | 346 | |
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| 347 | !============================================================= |
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| 348 | ! 4. Ice growth: scheme for radius evolution |
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| 349 | !============================================================= |
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| 350 | |
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[633] | 351 | c We trigger crystal growth if and only if there is at least one nuclei (N>1). |
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| 352 | c Indeed, if we are supersaturated and still don't have at least one nuclei, we should better wait |
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| 353 | c to avoid unrealistic value for nuclei radius and so on for cases that remain negligible. |
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| 354 | |
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| 355 | IF ( zq(ig,l,igcm_ccn_number)*tauscaling(ig).ge. 1.) THEN ! we trigger crystal growth |
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| 356 | |
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[740] | 357 | |
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| 358 | call updaterice_micro(zq(ig,l,igcm_h2o_ice), |
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| 359 | & zq(ig,l,igcm_ccn_mass),zq(ig,l,igcm_ccn_number), |
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| 360 | & tauscaling(ig),rice(ig,l),rhocloud(ig,l)) |
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[633] | 361 | |
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| 362 | No = zq(ig,l,igcm_ccn_number)* tauscaling(ig) + 1.e-30 |
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[626] | 363 | |
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| 364 | c saturation at equilibrium |
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[740] | 365 | c rice should not be too small, otherwise seq value is not valid |
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| 366 | seq = exp(2.*sig(zt(ig,l))*mh2o / (rho_ice*rgp*zt(ig,l)* |
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| 367 | & max(rice(ig,l),1.e-7))) |
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| 368 | |
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[633] | 369 | c get resistance growth |
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| 370 | call growthrate(zt(ig,l),pplay(ig,l), |
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| 371 | & real(ph2o/satu),rice(ig,l),res) |
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[358] | 372 | |
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[740] | 373 | res_out(ig,l) = res |
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[626] | 374 | |
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[633] | 375 | ccccccc implicit scheme of mass growth |
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[626] | 376 | |
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[633] | 377 | dMice = |
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| 378 | & (zq(ig,l,igcm_h2o_vap)-seq*zqsat(ig,l)) |
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| 379 | & /(res*zqsat(ig,l)/(cste*No*rice(ig,l)) + 1.) |
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[358] | 380 | |
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[626] | 381 | |
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[633] | 382 | ! With the above scheme, dMice cannot be bigger than vapor, |
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| 383 | ! but can be bigger than all available ice. |
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| 384 | dMice = max(dMice,-zq(ig,l,igcm_h2o_ice)) |
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| 385 | dMice = min(dMice,zq(ig,l,igcm_h2o_vap)) ! this should be useless... |
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| 386 | |
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| 387 | zq(ig,l,igcm_h2o_ice) = zq(ig,l,igcm_h2o_ice)+dMice |
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| 388 | zq(ig,l,igcm_h2o_vap) = zq(ig,l,igcm_h2o_vap)-dMice |
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| 389 | |
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| 390 | |
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| 391 | countcells = countcells + 1 |
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| 392 | |
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| 393 | ! latent heat release |
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| 394 | lw=(2834.3-0.28*(zt(ig,l)-To)- |
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| 395 | & 0.004*(zt(ig,l)-To)*(zt(ig,l)-To))*1.e+3 |
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| 396 | pdtcloud(ig,l)= dMice*lw/cpp/ptimestep |
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[358] | 397 | |
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[626] | 398 | |
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[358] | 399 | |
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[626] | 400 | !============================================================= |
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| 401 | ! 5. Dust cores released, tendancies, latent heat, etc ... |
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| 402 | !============================================================= |
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| 403 | |
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[358] | 404 | c If all the ice particles sublimate, all the condensation |
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[626] | 405 | c nuclei are released: |
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[633] | 406 | if (zq(ig,l,igcm_h2o_ice).le.1.e-8) then |
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| 407 | |
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[626] | 408 | c Water |
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| 409 | zq(ig,l,igcm_h2o_vap) = zq(ig,l,igcm_h2o_vap) |
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| 410 | & + zq(ig,l,igcm_h2o_ice) |
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[358] | 411 | zq(ig,l,igcm_h2o_ice) = 0. |
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| 412 | c Dust particles |
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[626] | 413 | zq(ig,l,igcm_dust_mass) = zq(ig,l,igcm_dust_mass) |
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| 414 | & + zq(ig,l,igcm_ccn_mass) |
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| 415 | zq(ig,l,igcm_dust_number) = zq(ig,l,igcm_dust_number) |
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| 416 | & + zq(ig,l,igcm_ccn_number) |
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[358] | 417 | c CCNs |
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| 418 | zq(ig,l,igcm_ccn_mass) = 0. |
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| 419 | zq(ig,l,igcm_ccn_number) = 0. |
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[633] | 420 | |
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[358] | 421 | endif |
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[411] | 422 | |
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[633] | 423 | ENDIF !of if Nccn>1 |
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| 424 | |
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[626] | 425 | ENDDO ! of ig loop |
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| 426 | ENDDO ! of nlayer loop |
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[520] | 427 | |
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[633] | 428 | |
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| 429 | ! Get cloud tendencies |
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[740] | 430 | pdqcloud(1:ngrid,1:nlay,igcm_h2o_vap) = |
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| 431 | & (zq(1:ngrid,1:nlay,igcm_h2o_vap) - |
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| 432 | & zq0(1:ngrid,1:nlay,igcm_h2o_vap))/ptimestep |
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| 433 | pdqcloud(1:ngrid,1:nlay,igcm_h2o_ice) = |
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| 434 | & (zq(1:ngrid,1:nlay,igcm_h2o_ice) - |
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| 435 | & zq0(1:ngrid,1:nlay,igcm_h2o_ice))/ptimestep |
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| 436 | pdqcloud(1:ngrid,1:nlay,igcm_ccn_mass) = |
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| 437 | & (zq(1:ngrid,1:nlay,igcm_ccn_mass) - |
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| 438 | & zq0(1:ngrid,1:nlay,igcm_ccn_mass))/ptimestep |
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| 439 | pdqcloud(1:ngrid,1:nlay,igcm_ccn_number) = |
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| 440 | & (zq(1:ngrid,1:nlay,igcm_ccn_number) - |
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| 441 | & zq0(1:ngrid,1:nlay,igcm_ccn_number))/ptimestep |
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[411] | 442 | |
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[740] | 443 | if (scavenging) then |
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[633] | 444 | |
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[740] | 445 | pdqcloud(1:ngrid,1:nlay,igcm_dust_mass) = |
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| 446 | & (zq(1:ngrid,1:nlay,igcm_dust_mass) - |
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| 447 | & zq0(1:ngrid,1:nlay,igcm_dust_mass))/ptimestep |
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| 448 | pdqcloud(1:ngrid,1:nlay,igcm_dust_number) = |
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| 449 | & (zq(1:ngrid,1:nlay,igcm_dust_number) - |
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| 450 | & zq0(1:ngrid,1:nlay,igcm_dust_number))/ptimestep |
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| 451 | |
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| 452 | endif |
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[633] | 453 | |
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[740] | 454 | |
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| 455 | |
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[626] | 456 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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| 457 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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[740] | 458 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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[626] | 459 | IF (test_flag) then |
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| 460 | |
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[633] | 461 | ! error2d(:) = 0. |
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[740] | 462 | DO l=1,nlay |
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| 463 | DO ig=1,ngrid |
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[633] | 464 | ! error2d(ig) = max(abs(error_out(ig,l)),error2d(ig)) |
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[740] | 465 | satubf(ig,l) = zq0(ig,l,igcm_h2o_vap)/zqsat(ig,l) |
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| 466 | satuaf(ig,l) = zq(ig,l,igcm_h2o_vap)/zqsat(ig,l) |
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| 467 | ENDDO |
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| 468 | ENDDO |
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[420] | 469 | |
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[633] | 470 | print*, 'count is ',countcells, ' i.e. ', |
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| 471 | & countcells*100/(nlay*ngrid), '% for microphys computation' |
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[358] | 472 | |
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[633] | 473 | ! IF (ngrid.ne.1) THEN ! 3D |
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[626] | 474 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",3, |
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| 475 | ! & satu_out) |
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| 476 | ! call WRITEDIAGFI(ngrid,"dM","ccn variation","kg/kg",3, |
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| 477 | ! & dM_out) |
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| 478 | ! call WRITEDIAGFI(ngrid,"dN","ccn variation","#",3, |
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| 479 | ! & dN_out) |
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[633] | 480 | ! call WRITEDIAGFI(ngrid,"error","dichotomy max error","%",2, |
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| 481 | ! & error2d) |
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[626] | 482 | ! call WRITEDIAGFI(ngrid,"zqsat","zqsat","kg",3, |
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| 483 | ! & zqsat) |
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[633] | 484 | ! ENDIF |
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[358] | 485 | |
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[633] | 486 | ! IF (ngrid.eq.1) THEN ! 1D |
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| 487 | ! call WRITEDIAGFI(ngrid,"error","incertitude sur glace","%",1, |
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| 488 | ! & error_out) |
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[740] | 489 | call WRITEdiagfi(ngrid,"resist","resistance","s/m2",1, |
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| 490 | & res_out) |
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| 491 | call WRITEdiagfi(ngrid,"satu_bf","satu before","kg/kg",1, |
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| 492 | & satubf) |
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| 493 | call WRITEdiagfi(ngrid,"satu_af","satu after","kg/kg",1, |
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| 494 | & satuaf) |
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| 495 | call WRITEdiagfi(ngrid,"vapbf","h2ovap before","kg/kg",1, |
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| 496 | & zq0(1,:,igcm_h2o_vap)) |
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| 497 | call WRITEdiagfi(ngrid,"vapaf","h2ovap after","kg/kg",1, |
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| 498 | & zq(1,:,igcm_h2o_vap)) |
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| 499 | call WRITEdiagfi(ngrid,"icebf","h2oice before","kg/kg",1, |
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| 500 | & zq0(1,:,igcm_h2o_ice)) |
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| 501 | call WRITEdiagfi(ngrid,"iceaf","h2oice after","kg/kg",1, |
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| 502 | & zq(1,:,igcm_h2o_ice)) |
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| 503 | call WRITEdiagfi(ngrid,"ccnbf","ccn before","/kg",1, |
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| 504 | & zq0(1,:,igcm_ccn_number)) |
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| 505 | call WRITEdiagfi(ngrid,"ccnaf","ccn after","/kg",1, |
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| 506 | & zq(1,:,igcm_ccn_number)) |
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[626] | 507 | c call WRITEDIAGFI(ngrid,"growthrate","growth rate","m^2/s",1, |
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| 508 | c & gr_out) |
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| 509 | c call WRITEDIAGFI(ngrid,"nuclearate","nucleation rate","",1, |
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| 510 | c & rate_out) |
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| 511 | c call WRITEDIAGFI(ngrid,"dM","ccn variation","kg",1, |
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| 512 | c & dM_out) |
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| 513 | c call WRITEDIAGFI(ngrid,"dN","ccn variation","#",1, |
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| 514 | c & dN_out) |
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[740] | 515 | call WRITEdiagfi(ngrid,"zqsat","p vap sat","kg/kg",1, |
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| 516 | & zqsat) |
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[633] | 517 | ! call WRITEDIAGFI(ngrid,"satu","ratio saturation","",1, |
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| 518 | ! & satu_out) |
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[740] | 519 | call WRITEdiagfi(ngrid,"rice","ice radius","m",1, |
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| 520 | & rice) |
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[633] | 521 | ! call WRITEDIAGFI(ngrid,"rdust_sca","rdust","m",1, |
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| 522 | ! & rdust) |
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| 523 | ! call WRITEDIAGFI(ngrid,"rsedcloud","rsedcloud","m",1, |
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| 524 | ! & rsedcloud) |
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| 525 | ! call WRITEDIAGFI(ngrid,"rhocloud","rhocloud","kg.m-3",1, |
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| 526 | ! & rhocloud) |
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| 527 | ! ENDIF |
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[626] | 528 | |
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| 529 | ENDIF ! endif test_flag |
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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 | !!!!!!!!!!!!!! TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS TESTS OUTPUTS |
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| 533 | |
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[358] | 534 | return |
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| 535 | end |
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[626] | 536 | |
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| 537 | |
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| 538 | |
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| 539 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 540 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 541 | c The so -called "phi" function is such as phi(r) - phi(r0) = t - t0 |
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| 542 | c It is an analytical solution to the ice radius growth equation, |
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| 543 | c with the approximation of a constant 'reduced' cunningham correction factor |
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| 544 | c (lambda in growthrate.F) taken at radius req instead of rice |
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| 545 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 546 | cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc |
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| 547 | |
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[633] | 548 | c subroutine phi(rice,req,coeff1,coeff2,time) |
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| 549 | c |
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| 550 | c implicit none |
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| 551 | c |
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| 552 | c ! inputs |
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| 553 | c real rice ! ice radius |
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| 554 | c real req ! ice radius at equilibirum |
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| 555 | c real coeff1 ! coeff for the log |
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| 556 | c real coeff2 ! coeff for the arctan |
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| 557 | c |
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| 558 | c ! output |
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| 559 | c real time |
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| 560 | c |
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| 561 | c !local |
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| 562 | c real var |
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| 563 | c |
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| 564 | c ! 1.73205 is sqrt(3) |
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| 565 | c |
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| 566 | c var = max( |
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| 567 | c & abs(rice-req) / sqrt(rice*rice + rice*req + req*req),1e-30) |
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| 568 | c |
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| 569 | c time = |
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| 570 | c & coeff1 * |
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| 571 | c & log( var ) |
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| 572 | c & + coeff2 * 1.73205 * |
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| 573 | c & atan( (2*rice+req) / (1.73205*req) ) |
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| 574 | c |
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| 575 | c return |
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| 576 | c end |
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[626] | 577 | |
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| 578 | |
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| 579 | |
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