C $Header: /u/gcmpack/MITgcm/pkg/smooth/smooth_filtervar2d.F,v 1.1 2010/02/15 23:46:04 gforget Exp $
C $Name: $
#include "SMOOTH_OPTIONS.h"
subroutine SMOOTH_FILTERVAR2D (smoothOpNb,mythid)
C *==========================================================*
C | SUBROUTINE smooth_filtervar2D
C | o Routine that computes the filter variance
C | field associated with a diffusion operator, as part
C | a 2D spatial correlation operator (smooth_correld2D.F)
C | See Weaver and Courtier 01 for details.
C *==========================================================*
IMPLICIT NONE
#include "SIZE.h"
#include "EEPARAMS.h"
#include "PARAMS.h"
#include "DYNVARS.h"
#include "GRID.h"
c#include "tamc.h"
#include "FFIELDS.h"
#include "SMOOTH.h"
integer i,j,k, bi, bj, ii, jj, kk
integer itlo,ithi,jtlo,jthi
integer diLoc,djLoc,dkLoc
integer myThid, nbRand
character*( 80) fnamegeneric
_RL smoothTmpFld (1-OLx:sNx+OLx,1-OLy:sNy+OLy,nSx,nSy)
_RL smoothTmpVar (1-OLx:sNx+OLx,1-OLy:sNy+OLy,nSx,nSy)
_RL smoothTmpMean(1-OLx:sNx+OLx,1-OLy:sNy+OLy,nSx,nSy)
_RL port_rand,port_rand_norm
integer nbt_in,smoothOpNb
jtlo = mybylo(mythid)
jthi = mybyhi(mythid)
itlo = mybxlo(mythid)
ithi = mybxhi(mythid)
c if smooth2Dfilter(smoothOpNb)=0: the filter variance field
c has been computed earlier and is already in the run directory
c so this routine does not do anything
IF (smooth2Dfilter(smoothOpNb).NE.0) then
nbt_in=smooth2Dnbt(smoothOpNb)/2
c read smoothing [i.e diffusion] operator:
write(fnamegeneric(1:80),'(1a,i3.3)')
& 'smooth2Doperator',smoothOpNb
CALL READ_REC_3D_RL(fnamegeneric,smoothprec,
& 1,smooth2D_Kux,1,1,mythid)
CALL READ_REC_3D_RL(fnamegeneric,smoothprec,
& 1,smooth2D_Kvy,2,1,mythid)
_EXCH_XY_RL ( smooth2D_Kux, myThid )
_EXCH_XY_RL ( smooth2D_Kvy, myThid )
c initialize filter variance field:
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=1-OLy,sNy+OLy
DO i=1-OLx,sNx+OLx
smooth2Dnorm(i,j,bi,bj)=0.
ENDDO
ENDDO
ENDDO
ENDDO
IF (smooth2Dfilter(smoothOpNb).EQ.2) then
c compute the normalization matrix using the approximate method
c
c This method can be quite expensive -- so that the approximate
c method (see below) is usually the prefered one.
c The exact method can be used to check the accuracy
c of the approximate method results (that can be predicted).
c
c note: the exact method requires the adjoint of smooth_diff2D.F (see below)
diLoc=15 !int(5*smooth_L/smooth_dx)
djLoc=20 !int(5*smooth_L/smooth_dx)
DO ii=1,diLoc
DO jj=1,djLoc
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=1-OLy,sNy+OLy
DO i=1-OLx,sNx+OLx
smoothTmpFld(i,j,bi,bj)=0.
ENDDO
ENDDO
DO j=jj,sNy,djLoc
DO i=ii,sNx,diLoc
smoothTmpFld(i,j,bi,bj)=1.
ENDDO
ENDDO
ENDDO
ENDDO
c note: as we go to adjoint part, we need to have 0 in overlaps
c so we must NOT have done an exchange for smoothTmpFld
c adjoint:
WRITE(errorMessageUnit,'(A,/,A)' )
& "you need to have adsmooth_diff2D compiled and then:",
& "uncomment the line below and comment the stop"
STOP 'ABNORMAL END: S/R smooth_filtervar2D'
c call adsmooth_diff2D(smoothTmpFld,maskc,nbt_in,mythid)
c division by sqrt(area)*sqrt(area) [1 to end adj, 1 to begin fwd]
DO bj = jtlo,jthi
DO bi = itlo,ithi
DO j = 1,sNy
DO i = 1,sNx
c division by ~volume:
smoothTmpFld(i,j,bi,bj)=smoothTmpFld(i,j,bi,bj)
& *recip_rA(i,j,bi,bj)
ENDDO
ENDDO
ENDDO
ENDDO
c coming out of adjoint part: overlaps are 0
c going in fwd part: we need to fill them up
_EXCH_XY_RL ( smoothTmpFld,myThid )
c fwd:
CALL SMOOTH_DIFF2D(smoothTmpFld,maskc,nbt_in,mythid)
c convert variance to normalization factor:
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=jj,sNy,djLoc
DO i=ii,sNx,diLoc
if (maskc(i,j,1,bi,bj).NE.0) then
smooth2Dnorm(i,j,bi,bj)=
& 1/sqrt(smoothTmpFld(i,j,bi,bj))
endif
ENDDO
ENDDO
ENDDO
ENDDO
ENDDO !DO ii=1,diLoc
ENDDO !DO jj=1,djLoc
ELSEIF (smooth2Dfilter(smoothOpNb).EQ.1) then
c compute the normalization matrix using the approximate method
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=1-OLy,sNy+OLy
DO i=1-OLx,sNx+OLx
smoothTmpMean(i,j,bi,bj) = 0. _d 0
smoothTmpVar(i,j,bi,bj) = 0. _d 0
ENDDO
ENDDO
ENDDO
ENDDO
c initialize random number generator
smoothTmpFld(1,1,1,1)=port_rand(1)
nbRand=1000
DO ii=1,nbRand
WRITE(standardMessageUnit,'(A,I4,A,I4)')
& 'smooth_filtervar2D: ',ii,' members done out of',nbRand
c fill smoothTmpFld with random numbers:
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=1-OLy,sNy+OLy
DO i=1-OLx,sNx+OLx
smoothTmpFld(i,j,bi,bj) = 0. _d 0
if (maskC(i,j,1,bi,bj).NE.0) then
smoothTmpFld(i,j,bi,bj)=port_rand_norm()
endif
c division by sqrt(area):
smoothTmpFld(i,j,bi,bj)=smoothTmpFld(i,j,bi,bj)
& *sqrt(recip_rA(i,j,bi,bj))
ENDDO
ENDDO
ENDDO
ENDDO
_EXCH_XY_RL ( smoothTmpFld, myThid )
c smooth random number field
call SMOOTH_DIFF2D(smoothTmpFld,maskc,nbt_in,mythid)
c accumulate statistics (to compute the variance later)
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=1-OLy,sNy+OLy
DO i=1-OLx,sNx+OLx
smoothTmpVar(i,j,bi,bj)=smoothTmpVar(i,j,bi,bj)
& +smoothTmpFld(i,j,bi,bj)*smoothTmpFld(i,j,bi,bj)/nbRand
smoothTmpMean(i,j,bi,bj)=smoothTmpMean(i,j,bi,bj)
& +smoothTmpFld(i,j,bi,bj)/nbRand
ENDDO
ENDDO
ENDDO
ENDDO
ENDDO
c compute variance and convert it to normalization factor:
DO bj=jtlo,jthi
DO bi=itlo,ithi
DO j=1-OLy,sNy+OLy
DO i=1-OLx,sNx+OLx
if (maskC(i,j,1,bi,bj).NE.0) then
smooth2Dnorm(i,j,bi,bj)=
& 1/sqrt ( nbRand/(nbRand-1)* ( smoothTmpVar(i,j,bi,bj) -
& smoothTmpMean(i,j,bi,bj)*smoothTmpMean(i,j,bi,bj)
& ) )
endif
ENDDO
ENDDO
ENDDO
ENDDO
ENDIF
c write smooth2Dnorm to file:
write(fnamegeneric(1:80),'(1a,i3.3)')
& 'smooth2Dnorm',smoothOpNb
CALL WRITE_REC_3D_RL(fnamegeneric,smoothprec,
& 1,smooth2Dnorm,1,1,mythid)
_EXCH_XY_RL ( smooth2Dnorm, myThid )
ENDIF
END