| 1 | subroutine initial_cond_output(itime) |
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| 2 | ! i |
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| 3 | !***************************************************************************** |
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| 4 | ! * |
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| 5 | ! Output of the initial condition sensitivity field. * |
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| 6 | ! * |
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| 7 | ! Author: A. Stohl * |
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| 8 | ! * |
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| 9 | ! 24 May 1995 * |
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| 10 | ! * |
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| 11 | ! 13 April 1999, Major update: if output size is smaller, dump output * |
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| 12 | ! in sparse matrix format; additional output of * |
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| 13 | ! uncertainty * |
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| 14 | ! * |
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| 15 | ! 05 April 2000, Major update: output of age classes; output for backward* |
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| 16 | ! runs is time spent in grid cell times total mass of * |
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| 17 | ! species. * |
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| 18 | ! * |
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| 19 | ! 17 February 2002, Appropriate dimensions for backward and forward runs * |
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| 20 | ! are now specified in file par_mod * |
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| 21 | ! * |
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| 22 | ! June 2006, write grid in sparse matrix with a single write command * |
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| 23 | ! in order to save disk space * |
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| 24 | ! * |
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| 25 | ! 2008 new sparse matrix format * |
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| 26 | ! * |
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| 27 | !***************************************************************************** |
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| 28 | ! * |
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| 29 | ! Variables: * |
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| 30 | ! ncells number of cells with non-zero concentrations * |
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| 31 | ! sparse .true. if in sparse matrix format, else .false. * |
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| 32 | ! * |
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| 33 | !***************************************************************************** |
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| 34 | |
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| 35 | use unc_mod |
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| 36 | use point_mod |
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| 37 | use outg_mod |
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| 38 | use par_mod |
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| 39 | use com_mod |
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| 40 | |
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| 41 | implicit none |
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| 42 | |
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| 43 | integer :: itime,i,ix,jy,kz,ks,kp,sp_count_i,sp_count_r |
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| 44 | real :: sp_fact,fact_recept |
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| 45 | real,parameter :: smallnum = tiny(0.0) ! smallest number that can be handled |
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| 46 | logical :: sp_zer |
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| 47 | character(len=3) :: anspec |
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| 48 | |
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| 49 | |
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| 50 | !********************************************************************* |
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| 51 | ! Determine the standard deviation of the mean concentration or mixing |
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| 52 | ! ratio (uncertainty of the output) and the dry and wet deposition |
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| 53 | !********************************************************************* |
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| 54 | |
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| 55 | do ks=1,nspec |
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| 56 | |
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| 57 | write(anspec,'(i3.3)') ks |
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| 58 | open(97,file=path(2)(1:length(2))//'grid_initial'// & |
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| 59 | '_'//anspec,form='unformatted') |
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| 60 | write(97) itime |
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| 61 | |
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| 62 | do kp=1,maxpointspec_act |
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| 63 | |
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| 64 | if (ind_rel.eq.1) then |
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| 65 | fact_recept=rho_rel(kp) |
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| 66 | else |
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| 67 | fact_recept=1. |
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| 68 | endif |
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| 69 | |
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| 70 | !******************************************************************* |
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| 71 | ! Generate output: may be in concentration (ng/m3) or in mixing |
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| 72 | ! ratio (ppt) or both |
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| 73 | ! Output the position and the values alternated multiplied by |
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| 74 | ! 1 or -1, first line is number of values, number of positions |
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| 75 | ! For backward simulations, the unit is seconds, stored in grid_time |
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| 76 | !******************************************************************* |
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| 77 | |
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| 78 | ! Write out dummy "wet and dry deposition" fields, to keep same format |
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| 79 | ! as for concentration output |
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| 80 | sp_count_i=0 |
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| 81 | sp_count_r=0 |
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| 82 | write(97) sp_count_i |
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| 83 | write(97) (sparse_dump_i(i),i=1,sp_count_i) |
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| 84 | write(97) sp_count_r |
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| 85 | write(97) (sparse_dump_r(i),i=1,sp_count_r) |
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| 86 | write(97) sp_count_i |
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| 87 | write(97) (sparse_dump_i(i),i=1,sp_count_i) |
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| 88 | write(97) sp_count_r |
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| 89 | write(97) (sparse_dump_r(i),i=1,sp_count_r) |
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| 90 | |
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| 91 | |
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| 92 | ! Write out sensitivity to initial conditions |
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| 93 | sp_count_i=0 |
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| 94 | sp_count_r=0 |
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| 95 | sp_fact=-1. |
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| 96 | sp_zer=.true. |
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| 97 | do kz=1,numzgrid |
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| 98 | do jy=0,numygrid-1 |
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| 99 | do ix=0,numxgrid-1 |
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| 100 | if (init_cond(ix,jy,kz,ks,kp).gt.smallnum) then |
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| 101 | if (sp_zer.eqv..true.) then ! first non zero value |
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| 102 | sp_count_i=sp_count_i+1 |
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| 103 | sparse_dump_i(sp_count_i)= & |
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| 104 | ix+jy*numxgrid+kz*numxgrid*numygrid |
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| 105 | sp_zer=.false. |
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| 106 | sp_fact=sp_fact*(-1.) |
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| 107 | endif |
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| 108 | sp_count_r=sp_count_r+1 |
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| 109 | sparse_dump_r(sp_count_r)=sp_fact* & |
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| 110 | init_cond(ix,jy,kz,ks,kp)/xmass(kp,ks)*fact_recept |
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| 111 | else ! concentration is zero |
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| 112 | sp_zer=.true. |
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| 113 | endif |
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| 114 | end do |
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| 115 | end do |
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| 116 | end do |
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| 117 | write(97) sp_count_i |
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| 118 | write(97) (sparse_dump_i(i),i=1,sp_count_i) |
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| 119 | write(97) sp_count_r |
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| 120 | write(97) (sparse_dump_r(i),i=1,sp_count_r) |
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| 121 | |
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| 122 | |
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| 123 | end do |
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| 124 | |
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| 125 | close(97) |
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| 126 | |
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| 127 | end do |
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| 128 | |
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| 129 | |
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| 130 | end subroutine initial_cond_output |
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