| 1 | ! SPDX-FileCopyrightText: FLEXPART 1998-2019, see flexpart_license.txt |
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| 2 | ! SPDX-License-Identifier: GPL-3.0-or-later |
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| 3 | |
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| 4 | subroutine concoutput_nest(itime,outnum) |
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| 5 | ! i i |
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| 6 | !***************************************************************************** |
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| 7 | ! * |
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| 8 | ! Output of the concentration grid and the receptor concentrations. * |
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| 9 | ! * |
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| 10 | ! Author: A. Stohl * |
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| 11 | ! * |
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| 12 | ! 24 May 1995 * |
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| 13 | ! * |
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| 14 | ! 13 April 1999, Major update: if output size is smaller, dump output * |
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| 15 | ! in sparse matrix format; additional output of * |
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| 16 | ! uncertainty * |
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| 17 | ! * |
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| 18 | ! 05 April 2000, Major update: output of age classes; output for backward* |
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| 19 | ! runs is time spent in grid cell times total mass of * |
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| 20 | ! species. * |
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| 21 | ! * |
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| 22 | ! 17 February 2002, Appropriate dimensions for backward and forward runs * |
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| 23 | ! are now specified in file par_mod * |
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| 24 | ! * |
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| 25 | ! June 2006, write grid in sparse matrix with a single write command * |
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| 26 | ! in order to save disk space * |
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| 27 | ! * |
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| 28 | ! 2008 new sparse matrix format * |
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| 29 | ! * |
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| 30 | ! 2014 eso: MPI version. Only called by root process * |
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| 31 | ! * |
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| 32 | !***************************************************************************** |
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| 33 | ! * |
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| 34 | ! Variables: * |
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| 35 | ! outnum number of samples * |
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| 36 | ! ncells number of cells with non-zero concentrations * |
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| 37 | ! sparse .true. if in sparse matrix format, else .false. * |
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| 38 | ! tot_mu 1 for forward, initial mass mixing ration for backw. runs * |
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| 39 | ! * |
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| 40 | !***************************************************************************** |
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| 41 | |
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| 42 | |
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| 43 | use unc_mod |
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| 44 | use point_mod |
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| 45 | use outg_mod |
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| 46 | use par_mod |
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| 47 | use com_mod |
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| 48 | use mpi_mod |
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| 49 | use mean_mod |
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| 50 | |
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| 51 | implicit none |
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| 52 | |
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| 53 | real(kind=dp) :: jul |
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| 54 | integer :: itime,i,ix,jy,kz,ks,kp,l,iix,jjy,kzz,nage,jjjjmmdd,ihmmss |
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| 55 | integer :: sp_count_i,sp_count_r |
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| 56 | real :: sp_fact |
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| 57 | real :: outnum,densityoutrecept(maxreceptor),xl,yl |
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| 58 | |
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| 59 | !real densityoutgrid(0:numxgrid-1,0:numygrid-1,numzgrid), |
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| 60 | ! +grid(0:numxgrid-1,0:numygrid-1,numzgrid,maxspec,maxpointspec_act, |
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| 61 | ! + maxageclass) |
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| 62 | !real wetgrid(0:numxgrid-1,0:numygrid-1,maxspec,maxpointspec_act, |
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| 63 | ! + maxageclass) |
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| 64 | !real drygrid(0:numxgrid-1,0:numygrid-1,maxspec, |
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| 65 | ! + maxpointspec_act,maxageclass) |
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| 66 | !real gridsigma(0:numxgrid-1,0:numygrid-1,numzgrid,maxspec, |
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| 67 | ! + maxpointspec_act,maxageclass), |
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| 68 | ! + drygridsigma(0:numxgrid-1,0:numygrid-1,maxspec, |
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| 69 | ! + maxpointspec_act,maxageclass), |
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| 70 | ! + wetgridsigma(0:numxgrid-1,0:numygrid-1,maxspec, |
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| 71 | ! + maxpointspec_act,maxageclass) |
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| 72 | !real factor(0:numxgrid-1,0:numygrid-1,numzgrid) |
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| 73 | !real sparse_dump_r(numxgrid*numygrid*numzgrid) |
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| 74 | !integer sparse_dump_i(numxgrid*numygrid*numzgrid) |
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| 75 | |
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| 76 | !real sparse_dump_u(numxgrid*numygrid*numzgrid) |
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| 77 | real(dep_prec) :: auxgrid(nclassunc) |
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| 78 | real :: halfheight,dz,dz1,dz2,tot_mu(maxspec,maxpointspec_act) |
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| 79 | real,parameter :: smallnum = tiny(0.0) ! smallest number that can be handled |
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| 80 | real,parameter :: weightair=28.97 |
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| 81 | logical :: sp_zer |
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| 82 | character :: adate*8,atime*6 |
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| 83 | character(len=3) :: anspec |
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| 84 | integer :: mind |
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| 85 | ! mind eso:added to ensure identical results between 2&3-fields versions |
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| 86 | |
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| 87 | ! Measure execution time |
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| 88 | if (mp_measure_time) call mpif_mtime('iotime',0) |
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| 89 | |
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| 90 | if (verbosity.eq.1) then |
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| 91 | print*,'inside concoutput_surf ' |
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| 92 | CALL SYSTEM_CLOCK(count_clock) |
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| 93 | WRITE(*,*) 'SYSTEM_CLOCK',count_clock - count_clock0 |
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| 94 | endif |
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| 95 | |
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| 96 | ! Determine current calendar date, needed for the file name |
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| 97 | !********************************************************** |
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| 98 | |
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| 99 | jul=bdate+real(itime,kind=dp)/86400._dp |
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| 100 | call caldate(jul,jjjjmmdd,ihmmss) |
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| 101 | write(adate,'(i8.8)') jjjjmmdd |
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| 102 | write(atime,'(i6.6)') ihmmss |
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| 103 | |
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| 104 | |
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| 105 | ! For forward simulations, output fields have dimension MAXSPEC, |
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| 106 | ! for backward simulations, output fields have dimension MAXPOINT. |
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| 107 | ! Thus, make loops either about nspec, or about numpoint |
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| 108 | !***************************************************************** |
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| 109 | |
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| 110 | |
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| 111 | if (ldirect.eq.1) then |
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| 112 | do ks=1,nspec |
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| 113 | do kp=1,maxpointspec_act |
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| 114 | tot_mu(ks,kp)=1 |
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| 115 | end do |
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| 116 | end do |
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| 117 | else |
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| 118 | do ks=1,nspec |
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| 119 | do kp=1,maxpointspec_act |
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| 120 | tot_mu(ks,kp)=xmass(kp,ks) |
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| 121 | end do |
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| 122 | end do |
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| 123 | endif |
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| 124 | |
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| 125 | |
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| 126 | !******************************************************************* |
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| 127 | ! Compute air density: sufficiently accurate to take it |
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| 128 | ! from coarse grid at some time |
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| 129 | ! Determine center altitude of output layer, and interpolate density |
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| 130 | ! data to that altitude |
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| 131 | !******************************************************************* |
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| 132 | |
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| 133 | mind=memind(2) |
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| 134 | do kz=1,numzgrid |
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| 135 | if (kz.eq.1) then |
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| 136 | halfheight=outheight(1)/2. |
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| 137 | else |
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| 138 | halfheight=(outheight(kz)+outheight(kz-1))/2. |
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| 139 | endif |
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| 140 | do kzz=2,nz |
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| 141 | if ((height(kzz-1).lt.halfheight).and. & |
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| 142 | (height(kzz).gt.halfheight)) goto 46 |
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| 143 | end do |
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| 144 | 46 kzz=max(min(kzz,nz),2) |
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| 145 | dz1=halfheight-height(kzz-1) |
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| 146 | dz2=height(kzz)-halfheight |
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| 147 | dz=dz1+dz2 |
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| 148 | do jy=0,numygridn-1 |
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| 149 | do ix=0,numxgridn-1 |
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| 150 | xl=outlon0n+real(ix)*dxoutn |
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| 151 | yl=outlat0n+real(jy)*dyoutn |
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| 152 | xl=(xl-xlon0)/dx |
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| 153 | yl=(yl-ylat0)/dy |
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| 154 | iix=max(min(nint(xl),nxmin1),0) |
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| 155 | jjy=max(min(nint(yl),nymin1),0) |
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| 156 | ! densityoutgrid(ix,jy,kz)=(rho(iix,jjy,kzz,2)*dz1+ & |
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| 157 | ! rho(iix,jjy,kzz-1,2)*dz2)/dz |
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| 158 | densityoutgrid(ix,jy,kz)=(rho(iix,jjy,kzz,mind)*dz1+ & |
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| 159 | rho(iix,jjy,kzz-1,mind)*dz2)/dz |
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| 160 | end do |
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| 161 | end do |
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| 162 | end do |
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| 163 | |
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| 164 | do i=1,numreceptor |
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| 165 | xl=xreceptor(i) |
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| 166 | yl=yreceptor(i) |
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| 167 | iix=max(min(nint(xl),nxmin1),0) |
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| 168 | jjy=max(min(nint(yl),nymin1),0) |
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| 169 | !densityoutrecept(i)=rho(iix,jjy,1,2) |
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| 170 | densityoutrecept(i)=rho(iix,jjy,1,mind) |
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| 171 | end do |
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| 172 | |
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| 173 | |
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| 174 | ! Output is different for forward and backward simulations |
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| 175 | do kz=1,numzgrid |
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| 176 | do jy=0,numygridn-1 |
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| 177 | do ix=0,numxgridn-1 |
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| 178 | if (ldirect.eq.1) then |
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| 179 | factor3d(ix,jy,kz)=1.e12/volumen(ix,jy,kz)/outnum |
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| 180 | else |
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| 181 | factor3d(ix,jy,kz)=real(abs(loutaver))/outnum |
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| 182 | endif |
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| 183 | end do |
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| 184 | end do |
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| 185 | end do |
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| 186 | |
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| 187 | !********************************************************************* |
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| 188 | ! Determine the standard deviation of the mean concentration or mixing |
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| 189 | ! ratio (uncertainty of the output) and the dry and wet deposition |
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| 190 | !********************************************************************* |
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| 191 | |
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| 192 | do ks=1,nspec |
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| 193 | |
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| 194 | write(anspec,'(i3.3)') ks |
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| 195 | if ((iout.eq.1).or.(iout.eq.3).or.(iout.eq.5)) then |
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| 196 | if (ldirect.eq.1) then |
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| 197 | open(unitoutgrid,file=path(2)(1:length(2))//'grid_conc_nest_' & |
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| 198 | //adate// & |
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| 199 | atime//'_'//anspec,form='unformatted') |
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| 200 | else |
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| 201 | open(unitoutgrid,file=path(2)(1:length(2))//'grid_time_nest_' & |
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| 202 | //adate// & |
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| 203 | atime//'_'//anspec,form='unformatted') |
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| 204 | endif |
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| 205 | write(unitoutgrid) itime |
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| 206 | endif |
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| 207 | |
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| 208 | if ((iout.eq.2).or.(iout.eq.3)) then ! mixing ratio |
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| 209 | open(unitoutgridppt,file=path(2)(1:length(2))//'grid_pptv_nest_' & |
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| 210 | //adate// & |
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| 211 | atime//'_'//anspec,form='unformatted') |
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| 212 | |
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| 213 | write(unitoutgridppt) itime |
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| 214 | endif |
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| 215 | |
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| 216 | do kp=1,maxpointspec_act |
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| 217 | do nage=1,nageclass |
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| 218 | |
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| 219 | do jy=0,numygridn-1 |
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| 220 | do ix=0,numxgridn-1 |
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| 221 | |
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| 222 | ! WET DEPOSITION |
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| 223 | if ((WETDEP).and.(ldirect.gt.0)) then |
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| 224 | do l=1,nclassunc |
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| 225 | auxgrid(l)=wetgriduncn0(ix,jy,ks,kp,l,nage) |
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| 226 | end do |
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| 227 | call mean(auxgrid,wetgrid(ix,jy), & |
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| 228 | wetgridsigma(ix,jy),nclassunc) |
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| 229 | ! Multiply by number of classes to get total concentration |
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| 230 | wetgrid(ix,jy)=wetgrid(ix,jy) & |
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| 231 | *nclassunc |
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| 232 | ! Calculate standard deviation of the mean |
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| 233 | wetgridsigma(ix,jy)= & |
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| 234 | wetgridsigma(ix,jy)* & |
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| 235 | sqrt(real(nclassunc)) |
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| 236 | endif |
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| 237 | |
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| 238 | ! DRY DEPOSITION |
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| 239 | if ((DRYDEP).and.(ldirect.gt.0)) then |
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| 240 | do l=1,nclassunc |
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| 241 | auxgrid(l)=drygriduncn0(ix,jy,ks,kp,l,nage) |
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| 242 | end do |
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| 243 | call mean(auxgrid,drygrid(ix,jy), & |
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| 244 | drygridsigma(ix,jy),nclassunc) |
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| 245 | ! Multiply by number of classes to get total concentration |
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| 246 | drygrid(ix,jy)=drygrid(ix,jy)* & |
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| 247 | nclassunc |
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| 248 | ! Calculate standard deviation of the mean |
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| 249 | drygridsigma(ix,jy)= & |
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| 250 | drygridsigma(ix,jy)* & |
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| 251 | sqrt(real(nclassunc)) |
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| 252 | endif |
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| 253 | |
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| 254 | ! CONCENTRATION OR MIXING RATIO |
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| 255 | do kz=1,numzgrid |
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| 256 | do l=1,nclassunc |
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| 257 | ! auxgrid(l)=griduncn0(ix,jy,kz,ks,kp,l,nage) |
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| 258 | auxgrid(l)=griduncn(ix,jy,kz,ks,kp,l,nage) |
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| 259 | end do |
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| 260 | call mean(auxgrid,grid(ix,jy,kz), & |
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| 261 | gridsigma(ix,jy,kz),nclassunc) |
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| 262 | ! Multiply by number of classes to get total concentration |
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| 263 | grid(ix,jy,kz)= & |
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| 264 | grid(ix,jy,kz)*nclassunc |
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| 265 | ! Calculate standard deviation of the mean |
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| 266 | gridsigma(ix,jy,kz)= & |
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| 267 | gridsigma(ix,jy,kz)* & |
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| 268 | sqrt(real(nclassunc)) |
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| 269 | end do |
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| 270 | end do |
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| 271 | end do |
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| 272 | |
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| 273 | |
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| 274 | !******************************************************************* |
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| 275 | ! Generate output: may be in concentration (ng/m3) or in mixing |
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| 276 | ! ratio (ppt) or both |
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| 277 | ! Output the position and the values alternated multiplied by |
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| 278 | ! 1 or -1, first line is number of values, number of positions |
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| 279 | ! For backward simulations, the unit is seconds, stored in grid_time |
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| 280 | !******************************************************************* |
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| 281 | |
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| 282 | ! Concentration output |
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| 283 | !********************* |
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| 284 | if ((iout.eq.1).or.(iout.eq.3).or.(iout.eq.5)) then |
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| 285 | |
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| 286 | ! Wet deposition |
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| 287 | sp_count_i=0 |
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| 288 | sp_count_r=0 |
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| 289 | sp_fact=-1. |
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| 290 | sp_zer=.true. |
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| 291 | if ((ldirect.eq.1).and.(WETDEP)) then |
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| 292 | do jy=0,numygridn-1 |
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| 293 | do ix=0,numxgridn-1 |
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| 294 | !oncentraion greater zero |
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| 295 | if (wetgrid(ix,jy).gt.smallnum) then |
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| 296 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 297 | sp_count_i=sp_count_i+1 |
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| 298 | sparse_dump_i(sp_count_i)=ix+jy*numxgridn |
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| 299 | sp_zer=.false. |
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| 300 | sp_fact=sp_fact*(-1.) |
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| 301 | endif |
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| 302 | sp_count_r=sp_count_r+1 |
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| 303 | sparse_dump_r(sp_count_r)= & |
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| 304 | sp_fact*1.e12*wetgrid(ix,jy)/arean(ix,jy) |
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| 305 | ! sparse_dump_u(sp_count_r)= |
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| 306 | !+ 1.e12*wetgridsigma(ix,jy,ks,kp,nage)/area(ix,jy) |
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| 307 | else ! concentration is zero |
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| 308 | sp_zer=.true. |
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| 309 | endif |
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| 310 | end do |
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| 311 | end do |
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| 312 | else |
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| 313 | sp_count_i=0 |
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| 314 | sp_count_r=0 |
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| 315 | endif |
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| 316 | write(unitoutgrid) sp_count_i |
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| 317 | write(unitoutgrid) (sparse_dump_i(i),i=1,sp_count_i) |
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| 318 | write(unitoutgrid) sp_count_r |
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| 319 | write(unitoutgrid) (sparse_dump_r(i),i=1,sp_count_r) |
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| 320 | ! write(unitoutgrid) sp_count_u |
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| 321 | ! write(unitoutgrid) (sparse_dump_u(i),i=1,sp_count_r) |
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| 322 | |
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| 323 | ! Dry deposition |
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| 324 | sp_count_i=0 |
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| 325 | sp_count_r=0 |
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| 326 | sp_fact=-1. |
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| 327 | sp_zer=.true. |
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| 328 | if ((ldirect.eq.1).and.(DRYDEP)) then |
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| 329 | do jy=0,numygridn-1 |
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| 330 | do ix=0,numxgridn-1 |
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| 331 | if (drygrid(ix,jy).gt.smallnum) then |
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| 332 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 333 | sp_count_i=sp_count_i+1 |
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| 334 | sparse_dump_i(sp_count_i)=ix+jy*numxgridn |
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| 335 | sp_zer=.false. |
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| 336 | sp_fact=sp_fact*(-1.) |
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| 337 | endif |
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| 338 | sp_count_r=sp_count_r+1 |
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| 339 | sparse_dump_r(sp_count_r)= & |
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| 340 | sp_fact* & |
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| 341 | 1.e12*drygrid(ix,jy)/arean(ix,jy) |
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| 342 | ! sparse_dump_u(sp_count_r)= |
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| 343 | !+ 1.e12*drygridsigma(ix,jy,ks,kp,nage)/area(ix,jy) |
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| 344 | else ! concentration is zero |
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| 345 | sp_zer=.true. |
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| 346 | endif |
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| 347 | end do |
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| 348 | end do |
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| 349 | else |
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| 350 | sp_count_i=0 |
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| 351 | sp_count_r=0 |
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| 352 | endif |
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| 353 | write(unitoutgrid) sp_count_i |
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| 354 | write(unitoutgrid) (sparse_dump_i(i),i=1,sp_count_i) |
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| 355 | write(unitoutgrid) sp_count_r |
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| 356 | write(unitoutgrid) (sparse_dump_r(i),i=1,sp_count_r) |
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| 357 | ! write(*,*) sp_count_u |
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| 358 | ! write(unitoutgrid) (sparse_dump_u(i),i=1,sp_count_r) |
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| 359 | |
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| 360 | |
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| 361 | |
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| 362 | ! Concentrations |
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| 363 | sp_count_i=0 |
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| 364 | sp_count_r=0 |
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| 365 | sp_fact=-1. |
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| 366 | sp_zer=.true. |
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| 367 | do kz=1,numzgrid |
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| 368 | do jy=0,numygridn-1 |
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| 369 | do ix=0,numxgridn-1 |
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| 370 | if (grid(ix,jy,kz).gt.smallnum) then |
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| 371 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 372 | sp_count_i=sp_count_i+1 |
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| 373 | sparse_dump_i(sp_count_i)= & |
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| 374 | ix+jy*numxgridn+kz*numxgridn*numygridn |
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| 375 | sp_zer=.false. |
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| 376 | sp_fact=sp_fact*(-1.) |
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| 377 | endif |
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| 378 | sp_count_r=sp_count_r+1 |
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| 379 | sparse_dump_r(sp_count_r)= & |
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| 380 | sp_fact* & |
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| 381 | grid(ix,jy,kz)* & |
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| 382 | factor3d(ix,jy,kz)/tot_mu(ks,kp) |
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| 383 | ! if ((factor(ix,jy,kz)/tot_mu(ks,kp)).eq.0) |
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| 384 | ! + write (*,*) factor(ix,jy,kz),tot_mu(ks,kp),ks,kp |
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| 385 | ! sparse_dump_u(sp_count_r)= |
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| 386 | !+ ,gridsigma(ix,jy,kz,ks,kp,nage)* |
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| 387 | !+ factor(ix,jy,kz)/tot_mu(ks,kp) |
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| 388 | else ! concentration is zero |
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| 389 | sp_zer=.true. |
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| 390 | endif |
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| 391 | end do |
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| 392 | end do |
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| 393 | end do |
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| 394 | write(unitoutgrid) sp_count_i |
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| 395 | write(unitoutgrid) (sparse_dump_i(i),i=1,sp_count_i) |
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| 396 | write(unitoutgrid) sp_count_r |
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| 397 | write(unitoutgrid) (sparse_dump_r(i),i=1,sp_count_r) |
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| 398 | ! write(unitoutgrid) sp_count_u |
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| 399 | ! write(unitoutgrid) (sparse_dump_u(i),i=1,sp_count_r) |
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| 400 | |
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| 401 | |
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| 402 | |
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| 403 | endif ! concentration output |
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| 404 | |
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| 405 | ! Mixing ratio output |
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| 406 | !******************** |
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| 407 | |
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| 408 | if ((iout.eq.2).or.(iout.eq.3)) then ! mixing ratio |
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| 409 | |
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| 410 | ! Wet deposition |
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| 411 | sp_count_i=0 |
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| 412 | sp_count_r=0 |
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| 413 | sp_fact=-1. |
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| 414 | sp_zer=.true. |
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| 415 | if ((ldirect.eq.1).and.(WETDEP)) then |
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| 416 | do jy=0,numygridn-1 |
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| 417 | do ix=0,numxgridn-1 |
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| 418 | if (wetgrid(ix,jy).gt.smallnum) then |
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| 419 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 420 | sp_count_i=sp_count_i+1 |
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| 421 | sparse_dump_i(sp_count_i)= & |
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| 422 | ix+jy*numxgridn |
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| 423 | sp_zer=.false. |
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| 424 | sp_fact=sp_fact*(-1.) |
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| 425 | endif |
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| 426 | sp_count_r=sp_count_r+1 |
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| 427 | sparse_dump_r(sp_count_r)= & |
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| 428 | sp_fact* & |
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| 429 | 1.e12*wetgrid(ix,jy)/arean(ix,jy) |
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| 430 | ! sparse_dump_u(sp_count_r)= |
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| 431 | ! + ,1.e12*wetgridsigma(ix,jy,ks,kp,nage)/area(ix,jy) |
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| 432 | else ! concentration is zero |
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| 433 | sp_zer=.true. |
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| 434 | endif |
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| 435 | end do |
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| 436 | end do |
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| 437 | else |
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| 438 | sp_count_i=0 |
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| 439 | sp_count_r=0 |
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| 440 | endif |
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| 441 | write(unitoutgridppt) sp_count_i |
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| 442 | write(unitoutgridppt) (sparse_dump_i(i),i=1,sp_count_i) |
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| 443 | write(unitoutgridppt) sp_count_r |
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| 444 | write(unitoutgridppt) (sparse_dump_r(i),i=1,sp_count_r) |
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| 445 | ! write(unitoutgridppt) sp_count_u |
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| 446 | ! write(unitoutgridppt) (sparse_dump_u(i),i=1,sp_count_r) |
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| 447 | |
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| 448 | |
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| 449 | ! Dry deposition |
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| 450 | sp_count_i=0 |
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| 451 | sp_count_r=0 |
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| 452 | sp_fact=-1. |
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| 453 | sp_zer=.true. |
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| 454 | if ((ldirect.eq.1).and.(DRYDEP)) then |
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| 455 | do jy=0,numygridn-1 |
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| 456 | do ix=0,numxgridn-1 |
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| 457 | if (drygrid(ix,jy).gt.smallnum) then |
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| 458 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 459 | sp_count_i=sp_count_i+1 |
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| 460 | sparse_dump_i(sp_count_i)= & |
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| 461 | ix+jy*numxgridn |
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| 462 | sp_zer=.false. |
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| 463 | sp_fact=sp_fact*(-1) |
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| 464 | endif |
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| 465 | sp_count_r=sp_count_r+1 |
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| 466 | sparse_dump_r(sp_count_r)= & |
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| 467 | sp_fact* & |
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| 468 | 1.e12*drygrid(ix,jy)/arean(ix,jy) |
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| 469 | ! sparse_dump_u(sp_count_r)= |
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| 470 | ! + ,1.e12*drygridsigma(ix,jy,ks,kp,nage)/area(ix,jy) |
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| 471 | else ! concentration is zero |
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| 472 | sp_zer=.true. |
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| 473 | endif |
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| 474 | end do |
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| 475 | end do |
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| 476 | else |
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| 477 | sp_count_i=0 |
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| 478 | sp_count_r=0 |
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| 479 | endif |
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| 480 | write(unitoutgridppt) sp_count_i |
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| 481 | write(unitoutgridppt) (sparse_dump_i(i),i=1,sp_count_i) |
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| 482 | write(unitoutgridppt) sp_count_r |
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| 483 | write(unitoutgridppt) (sparse_dump_r(i),i=1,sp_count_r) |
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| 484 | ! write(unitoutgridppt) sp_count_u |
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| 485 | ! write(unitoutgridppt) (sparse_dump_u(i),i=1,sp_count_r) |
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| 486 | |
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| 487 | |
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| 488 | ! Mixing ratios |
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| 489 | sp_count_i=0 |
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| 490 | sp_count_r=0 |
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| 491 | sp_fact=-1. |
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| 492 | sp_zer=.true. |
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| 493 | do kz=1,numzgrid |
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| 494 | do jy=0,numygridn-1 |
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| 495 | do ix=0,numxgridn-1 |
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| 496 | if (grid(ix,jy,kz).gt.smallnum) then |
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| 497 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 498 | sp_count_i=sp_count_i+1 |
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| 499 | sparse_dump_i(sp_count_i)= & |
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| 500 | ix+jy*numxgridn+kz*numxgridn*numygridn |
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| 501 | sp_zer=.false. |
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| 502 | sp_fact=sp_fact*(-1.) |
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| 503 | endif |
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| 504 | sp_count_r=sp_count_r+1 |
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| 505 | sparse_dump_r(sp_count_r)= & |
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| 506 | sp_fact* & |
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| 507 | 1.e12*grid(ix,jy,kz) & |
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| 508 | /volumen(ix,jy,kz)/outnum* & |
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| 509 | weightair/weightmolar(ks)/densityoutgrid(ix,jy,kz) |
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| 510 | ! sparse_dump_u(sp_count_r)= |
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| 511 | !+ ,1.e12*gridsigma(ix,jy,kz,ks,kp,nage)/volume(ix,jy,kz)/ |
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| 512 | !+ outnum*weightair/weightmolar(ks)/ |
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| 513 | !+ densityoutgrid(ix,jy,kz) |
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| 514 | else ! concentration is zero |
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| 515 | sp_zer=.true. |
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| 516 | endif |
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| 517 | end do |
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| 518 | end do |
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| 519 | end do |
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| 520 | write(unitoutgridppt) sp_count_i |
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| 521 | write(unitoutgridppt) (sparse_dump_i(i),i=1,sp_count_i) |
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| 522 | write(unitoutgridppt) sp_count_r |
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| 523 | write(unitoutgridppt) (sparse_dump_r(i),i=1,sp_count_r) |
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| 524 | ! write(unitoutgridppt) sp_count_u |
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| 525 | ! write(unitoutgridppt) (sparse_dump_u(i),i=1,sp_count_r) |
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| 526 | |
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| 527 | endif ! output for ppt |
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| 528 | |
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| 529 | end do |
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| 530 | end do |
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| 531 | |
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| 532 | close(unitoutgridppt) |
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| 533 | close(unitoutgrid) |
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| 534 | |
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| 535 | end do |
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| 536 | |
|---|
| 537 | |
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| 538 | |
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| 539 | ! Reinitialization of grid |
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| 540 | !************************* |
|---|
| 541 | |
|---|
| 542 | do ks=1,nspec |
|---|
| 543 | do kp=1,maxpointspec_act |
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| 544 | do i=1,numreceptor |
|---|
| 545 | creceptor(i,ks)=0. |
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| 546 | end do |
|---|
| 547 | do jy=0,numygridn-1 |
|---|
| 548 | do ix=0,numxgridn-1 |
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| 549 | do l=1,nclassunc |
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| 550 | do nage=1,nageclass |
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| 551 | do kz=1,numzgrid |
|---|
| 552 | griduncn(ix,jy,kz,ks,kp,l,nage)=0. |
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| 553 | end do |
|---|
| 554 | end do |
|---|
| 555 | end do |
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| 556 | end do |
|---|
| 557 | end do |
|---|
| 558 | end do |
|---|
| 559 | end do |
|---|
| 560 | |
|---|
| 561 | if (mp_measure_time) call mpif_mtime('iotime',1) |
|---|
| 562 | ! if (mp_measure_time) then |
|---|
| 563 | ! call cpu_time(mp_root_time_end) |
|---|
| 564 | ! mp_root_wtime_end = mpi_wtime() |
|---|
| 565 | ! mp_root_time_total = mp_root_time_total + (mp_root_time_end - mp_root_time_beg) |
|---|
| 566 | ! mp_root_wtime_total = mp_root_wtime_total + (mp_root_wtime_end - mp_root_wtime_beg) |
|---|
| 567 | ! end if |
|---|
| 568 | |
|---|
| 569 | end subroutine concoutput_nest |
|---|
| 570 | |
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