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C $Header: /u/gcmpack/MITgcm/pkg/ecco/cost_ies.F,v 1.2 2012/08/06 20:41:55 heimbach Exp $ |
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C $Name: $ |
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#include "ECCO_OPTIONS.h" |
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subroutine cost_ies( |
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I myiter, |
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I mytime, |
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I mythid |
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& ) |
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|
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c ================================================================== |
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c SUBROUTINE cost_ies |
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c ================================================================== |
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c |
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c o Evaluate cost function contribution of invertted echo sounders |
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c => uses travel time (daily average) |
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c |
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c started: Matt Mazloff May-2010 |
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c |
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c ================================================================== |
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c SUBROUTINE cost_ies |
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c ================================================================== |
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|
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implicit none |
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|
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c == global variables == |
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|
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#include "EEPARAMS.h" |
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#include "SIZE.h" |
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#include "PARAMS.h" |
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#include "GRID.h" |
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|
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#include "ecco_cost.h" |
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#include "CTRL_SIZE.h" |
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#include "ctrl.h" |
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#include "ctrl_dummy.h" |
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#include "optim.h" |
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#include "DYNVARS.h" |
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#ifdef ALLOW_PROFILES |
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#include "profiles.h" |
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#endif |
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|
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c == routine arguments == |
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|
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integer myiter |
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_RL mytime |
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integer mythid |
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|
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#ifdef ALLOW_IESTAU_COST_CONTRIBUTION |
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c == local variables == |
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integer bi,bj |
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integer i,j |
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integer itlo,ithi |
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integer jtlo,jthi |
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integer jmin,jmax |
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integer imin,imax |
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integer irec |
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integer ilps |
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|
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logical doglobalread |
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logical ladinit |
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|
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_RL iesmean ( 1-olx:snx+olx, 1-oly:sny+oly, nsx, nsy ) |
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_RL datmean ( 1-olx:snx+olx, 1-oly:sny+oly, nsx, nsy ) |
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_RL iescount ( 1-olx:snx+olx, 1-oly:sny+oly, nsx, nsy ) |
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_RL junk,junkweight |
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|
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character*(80) fname |
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character*(80) fname4test |
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character*(MAX_LEN_MBUF) msgbuf |
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|
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c == external functions == |
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|
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integer ilnblnk |
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external ilnblnk |
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c == end of interface == |
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|
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jtlo = mybylo(mythid) |
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jthi = mybyhi(mythid) |
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itlo = mybxlo(mythid) |
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ithi = mybxhi(mythid) |
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jmin = 1 |
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jmax = sny |
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imin = 1 |
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imax = snx |
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|
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c-- Initialise local variables. |
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|
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do bj = jtlo,jthi |
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do bi = itlo,ithi |
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do j = jmin,jmax |
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do i = imin,imax |
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iesmean(i,j,bi,bj) = 0. _d 0 |
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datmean(i,j,bi,bj) = 0. _d 0 |
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iescount(i,j,bi,bj) = 0. _d 0 |
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enddo |
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enddo |
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enddo |
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enddo |
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|
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doglobalread = .false. |
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ladinit = .false. |
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|
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write(fname(1:80),'(80a)') ' ' |
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ilps=ilnblnk( iestaubarfile ) |
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write(fname(1:80),'(2a,i10.10)') |
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& iestaubarfile(1:ilps),'.',optimcycle |
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|
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c-- ============ |
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c-- Mean values. |
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c-- ============ |
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|
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do irec = 1,ndaysrec |
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|
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c-- Compute the mean over all iesdat records. |
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call active_read_xy( fname, iestaubar, irec, doglobalread, |
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& ladinit, optimcycle, mythid, |
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& xx_iestaubar_mean_dummy ) |
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|
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call cost_ies_read( irec, mythid ) |
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|
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do bj = jtlo,jthi |
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do bi = itlo,ithi |
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do j = jmin,jmax |
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do i = imin,imax |
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if (iesmask(i,j,bi,bj).NE.0.) then |
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iesmean(i,j,bi,bj) = iesmean(i,j,bi,bj) + |
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& iestaubar(i,j,bi,bj) |
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datmean(i,j,bi,bj) = datmean(i,j,bi,bj) + |
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& iesdat(i,j,bi,bj) |
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iescount(i,j,bi,bj) = iescount(i,j,bi,bj) +1. |
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endif |
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enddo |
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enddo |
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enddo |
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enddo |
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enddo |
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|
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CMM done accumulating -- now average |
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do bj = jtlo,jthi |
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do bi = itlo,ithi |
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do j = jmin,jmax |
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do i = imin,imax |
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if (iescount(i,j,bi,bj).GT.0.) then |
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iesmean(i,j,bi,bj) = iesmean(i,j,bi,bj)/iescount(i,j,bi,bj) |
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datmean(i,j,bi,bj) = datmean(i,j,bi,bj)/iescount(i,j,bi,bj) |
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CMM( |
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c print*,'CMM:IES DEBUG: i,j,iescount = ',i,j,iescount(i,j,bi,bj) |
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CMM) |
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endif |
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enddo |
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enddo |
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enddo |
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enddo |
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|
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CMM( output means |
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c CALL WRITE_FLD_XY_RL( 'DiagnosIESmean', ' ', iesmean, |
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c & optimcycle, mythid ) |
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c CALL WRITE_FLD_XY_RL( 'DiagIESobsMean', ' ', datmean, |
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c & optimcycle, mythid ) |
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CMM( DEBUG STUFF |
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c CALL WRITE_FLD_XY_RL( 'DiagnosIEScount', ' ', iescount, |
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c & optimcycle, mythid ) |
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c |
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c CALL WRITE_FLD_XY_RL( 'DiaIESwght', ' ', wies, |
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c & optimcycle, mythid ) |
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|
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CMM) |
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|
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c-- ========== |
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c-- Cost |
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c-- ========== |
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|
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c-- Loop over records for the second time. |
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do irec = 1, ndaysrec |
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|
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call active_read_xy( fname, iestaubar, irec, doglobalread, |
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& ladinit, optimcycle, mythid, |
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& xx_iestaubar_mean_dummy ) |
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|
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call cost_ies_read( irec, mythid ) |
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c-- Compute cost function |
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do bj = jtlo,jthi |
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do bi = itlo,ithi |
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do j = jmin,jmax |
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do i = imin,imax |
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junkweight = wies(i,j,bi,bj)*iesmask(i,j,bi,bj) |
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junk = (iestaubar(i,j,bi,bj) - iesmean(i,j,bi,bj)) |
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& -(iesdat(i,j,bi,bj) - datmean(i,j,bi,bj)) |
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objf_ies(bi,bj) = objf_ies(bi,bj) |
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& + junk*junk*junkweight |
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if ( junkweight .ne. 0. ) |
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& num_ies(bi,bj) = num_ies(bi,bj) + 1. _d 0 |
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C for now dont penalize mean misfit.....depths likely different |
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C and would need offset |
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CMM( |
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c if ( iescount(i,j,bi,bj) .ne. 0. ) then |
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c print*,'CMM:IESdbg1: i,j,irec,junkweight= ',i,j,irec,junkweight |
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c print*,'CMM:IESdbg2: wies,iesmask= ' |
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c & ,wies(i,j,bi,bj),iesmask(i,j,bi,bj) |
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c endif |
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CMM) |
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enddo |
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enddo |
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enddo |
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enddo |
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|
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enddo |
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|
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#endif |
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|
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end |
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