1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151
|
!**********************************************************************
! Copyright 1998,1999,2000,2001,2002,2005,2007,2008,2009,2010 *
! Andreas Stohl, Petra Seibert, A. Frank, Gerhard Wotawa, *
! Caroline Forster, Sabine Eckhardt, John Burkhart, Harald Sodemann *
! *
! This file is part of FLEXPART. *
! *
! FLEXPART is free software: you can redistribute it and/or modify *
! it under the terms of the GNU General Public License as published by*
! the Free Software Foundation, either version 3 of the License, or *
! (at your option) any later version. *
! *
! FLEXPART is distributed in the hope that it will be useful, *
! but WITHOUT ANY WARRANTY; without even the implied warranty of *
! MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
! GNU General Public License for more details. *
! *
! You should have received a copy of the GNU General Public License *
! along with FLEXPART. If not, see <http://www.gnu.org/licenses/>. *
!**********************************************************************
subroutine initial_cond_output(itime)
! i
!*****************************************************************************
! *
! Output of the initial condition sensitivity field. *
! *
! Author: A. Stohl *
! *
! 24 May 1995 *
! *
! 13 April 1999, Major update: if output size is smaller, dump output *
! in sparse matrix format; additional output of *
! uncertainty *
! *
! 05 April 2000, Major update: output of age classes; output for backward*
! runs is time spent in grid cell times total mass of *
! species. *
! *
! 17 February 2002, Appropriate dimensions for backward and forward runs *
! are now specified in file par_mod *
! *
! June 2006, write grid in sparse matrix with a single write command *
! in order to save disk space *
! *
! 2008 new sparse matrix format *
! *
!*****************************************************************************
! *
! Variables: *
! ncells number of cells with non-zero concentrations *
! sparse .true. if in sparse matrix format, else .false. *
! *
!*****************************************************************************
use unc_mod
use point_mod
use outg_mod
use par_mod
use com_mod
implicit none
integer :: itime,i,ix,jy,kz,ks,kp,sp_count_i,sp_count_r
real :: sp_fact,fact_recept
real,parameter :: smallnum = tiny(0.0) ! smallest number that can be handled
logical :: sp_zer
character(len=3) :: anspec
!*********************************************************************
! Determine the standard deviation of the mean concentration or mixing
! ratio (uncertainty of the output) and the dry and wet deposition
!*********************************************************************
do ks=1,nspec
write(anspec,'(i3.3)') ks
open(97,file=path(2)(1:length(2))//'grid_initial'// &
'_'//anspec,form='unformatted')
write(97) itime
do kp=1,maxpointspec_act
if (ind_rel.eq.1) then
fact_recept=rho_rel(kp)
else
fact_recept=1.
endif
!*******************************************************************
! Generate output: may be in concentration (ng/m3) or in mixing
! ratio (ppt) or both
! Output the position and the values alternated multiplied by
! 1 or -1, first line is number of values, number of positions
! For backward simulations, the unit is seconds, stored in grid_time
!*******************************************************************
! Write out dummy "wet and dry deposition" fields, to keep same format
! as for concentration output
sp_count_i=0
sp_count_r=0
write(97) sp_count_i
write(97) (sparse_dump_i(i),i=1,sp_count_i)
write(97) sp_count_r
write(97) (sparse_dump_r(i),i=1,sp_count_r)
write(97) sp_count_i
write(97) (sparse_dump_i(i),i=1,sp_count_i)
write(97) sp_count_r
write(97) (sparse_dump_r(i),i=1,sp_count_r)
! Write out sensitivity to initial conditions
sp_count_i=0
sp_count_r=0
sp_fact=-1.
sp_zer=.true.
do kz=1,numzgrid
do jy=0,numygrid-1
do ix=0,numxgrid-1
if (init_cond(ix,jy,kz,ks,kp).gt.smallnum) then
if (sp_zer.eqv..true.) then ! first non zero value
sp_count_i=sp_count_i+1
sparse_dump_i(sp_count_i)= &
ix+jy*numxgrid+kz*numxgrid*numygrid
sp_zer=.false.
sp_fact=sp_fact*(-1.)
endif
sp_count_r=sp_count_r+1
sparse_dump_r(sp_count_r)=sp_fact* &
init_cond(ix,jy,kz,ks,kp)/xmass(kp,ks)*fact_recept
else ! concentration is zero
sp_zer=.true.
endif
end do
end do
end do
write(97) sp_count_i
write(97) (sparse_dump_i(i),i=1,sp_count_i)
write(97) sp_count_r
write(97) (sparse_dump_r(i),i=1,sp_count_r)
end do
close(97)
end do
end subroutine initial_cond_output
|