8 |
C | diffusivity. | |
C | diffusivity. | |
9 |
C \==========================================================/ |
C \==========================================================/ |
10 |
SUBROUTINE IMPLDIFF( bi, bj, iMin, iMax, jMin, jMax, |
SUBROUTINE IMPLDIFF( bi, bj, iMin, iMax, jMin, jMax, |
11 |
I KappaRT,KappaRS, |
I deltaTX,KappaRX,recip_hFac, |
12 |
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U gXNm1, |
13 |
I myThid ) |
I myThid ) |
14 |
IMPLICIT NONE |
IMPLICIT NONE |
15 |
C == Global data == |
C == Global data == |
21 |
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22 |
C == Routine Arguments == |
C == Routine Arguments == |
23 |
INTEGER bi,bj,iMin,iMax,jMin,jMax |
INTEGER bi,bj,iMin,iMax,jMin,jMax |
24 |
_RL KappaRT(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr) |
_RL deltaTX |
25 |
_RL KappaRS(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr) |
_RL KappaRX(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr) |
26 |
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_RS recip_hFac(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr,nSx,nSy) |
27 |
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_RL gXnm1(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr,nSx,nSy) |
28 |
INTEGER myThid |
INTEGER myThid |
29 |
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30 |
C == Local variables == |
C == Local variables == |
36 |
_RL bet(1-Olx:sNx+Olx,1-Oly:sNy+Oly) |
_RL bet(1-Olx:sNx+Olx,1-Oly:sNy+Oly) |
37 |
_RL gam(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr) |
_RL gam(1-Olx:sNx+Olx,1-Oly:sNy+Oly,Nr) |
38 |
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C *************************************************************** |
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C ***************** **************** |
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C ***************** N O T E **************** |
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C ***************** **************** |
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C *************************************************************** |
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C |
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C The implicit diffusion of SALT currently uses the diffusivity |
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C of the THETA. |
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C ie. KappaRS is ignored. |
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C |
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C *************************************************************** |
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C *************************************************************** |
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39 |
IF (Nr.GT.1) THEN ! Only need do anything if Nr>1 |
IF (Nr.GT.1) THEN ! Only need do anything if Nr>1 |
40 |
C-- Beginning of forward sweep (top level) |
C-- Beginning of forward sweep (top level) |
41 |
DO j=jMin,jMax |
DO j=jMin,jMax |
42 |
DO i=iMin,iMax |
DO i=iMin,iMax |
43 |
c(i,j)=-deltaTtracer*recip_hFacC(i,j,1,bi,bj)*recip_drF(1) |
c(i,j)=-deltaTX*recip_hFac(i,j,1,bi,bj)*recip_drF(1) |
44 |
& *KappaRT(i,j,2)*recip_drC(2) |
& *KappaRX(i,j,2)*recip_drC(2) |
45 |
b(i,j)=1.-c(i,j) |
b(i,j)=1.-c(i,j) |
46 |
bet(i,j)=0. |
bet(i,j)=0. |
47 |
IF (b(i,j).NE.0.) bet(i,j)=1. / b(i,j) |
IF (b(i,j).NE.0.) bet(i,j)=1. / b(i,j) |
48 |
gTnm1(i,j,1,bi,bj)=gTnm1(i,j,1,bi,bj)*bet(i,j) |
gXnm1(i,j,1,bi,bj)=gXnm1(i,j,1,bi,bj)*bet(i,j) |
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gSnm1(i,j,1,bi,bj)=gSnm1(i,j,1,bi,bj)*bet(i,j) |
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49 |
ENDDO |
ENDDO |
50 |
ENDDO |
ENDDO |
51 |
ENDIF |
ENDIF |
55 |
DO j=jMin,jMax |
DO j=jMin,jMax |
56 |
DO i=iMin,iMax |
DO i=iMin,iMax |
57 |
ckm1(i,j)=c(i,j) |
ckm1(i,j)=c(i,j) |
58 |
a(i,j)=-deltaTtracer*recip_hFacC(i,j,k,bi,bj)*recip_drF(k) |
a(i,j)=-deltaTX*recip_hFac(i,j,k,bi,bj)*recip_drF(k) |
59 |
& *KappaRT(i,j, k )*recip_drC( k ) |
& *KappaRX(i,j, k )*recip_drC( k ) |
60 |
c(i,j)=-deltaTtracer*recip_hFacC(i,j,k,bi,bj)*recip_drF(k) |
c(i,j)=-deltaTX*recip_hFac(i,j,k,bi,bj)*recip_drF(k) |
61 |
& *KappaRT(i,j,k+1)*recip_drC(k+1) |
& *KappaRX(i,j,k+1)*recip_drC(k+1) |
62 |
b(i,j)=1.-c(i,j)-a(i,j) |
b(i,j)=1.-c(i,j)-a(i,j) |
63 |
ENDDO |
ENDDO |
64 |
ENDDO |
ENDDO |
67 |
gam(i,j,k)=ckm1(i,j)*bet(i,j) |
gam(i,j,k)=ckm1(i,j)*bet(i,j) |
68 |
bet(i,j)=b(i,j)-a(i,j)*gam(i,j,k) |
bet(i,j)=b(i,j)-a(i,j)*gam(i,j,k) |
69 |
IF (bet(i,j).NE.0.) bet(i,j)=1. / bet(i,j) |
IF (bet(i,j).NE.0.) bet(i,j)=1. / bet(i,j) |
70 |
gTnm1(i,j,k,bi,bj)=(gTnm1(i,j,k,bi,bj) |
gXnm1(i,j,k,bi,bj)=(gXnm1(i,j,k,bi,bj) |
71 |
& -a(i,j)*gTnm1(i,j,k-1,bi,bj))*bet(i,j) |
& -a(i,j)*gXnm1(i,j,k-1,bi,bj))*bet(i,j) |
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gSnm1(i,j,k,bi,bj)=(gSnm1(i,j,k,bi,bj) |
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& -a(i,j)*gSnm1(i,j,k-1,bi,bj))*bet(i,j) |
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72 |
ENDDO |
ENDDO |
73 |
ENDDO |
ENDDO |
74 |
ENDDO |
ENDDO |
78 |
DO j=jMin,jMax |
DO j=jMin,jMax |
79 |
DO i=iMin,iMax |
DO i=iMin,iMax |
80 |
ckm1(i,j)=c(i,j) |
ckm1(i,j)=c(i,j) |
81 |
a(i,j)=-deltaTtracer*recip_hFacC(i,j,Nr,bi,bj)*recip_drF(Nr) |
a(i,j)=-deltaTX*recip_hFac(i,j,Nr,bi,bj)*recip_drF(Nr) |
82 |
& *KappaRT(i,j, Nr )*recip_drC( Nr ) |
& *KappaRX(i,j, Nr )*recip_drC( Nr ) |
83 |
b(i,j)=1.-a(i,j) |
b(i,j)=1.-a(i,j) |
84 |
ENDDO |
ENDDO |
85 |
ENDDO |
ENDDO |
88 |
gam(i,j,Nr)=ckm1(i,j)*bet(i,j) |
gam(i,j,Nr)=ckm1(i,j)*bet(i,j) |
89 |
bet(i,j)=b(i,j)-a(i,j)*gam(i,j,Nr) |
bet(i,j)=b(i,j)-a(i,j)*gam(i,j,Nr) |
90 |
IF (bet(i,j).NE.0.) bet(i,j)=1. / bet(i,j) |
IF (bet(i,j).NE.0.) bet(i,j)=1. / bet(i,j) |
91 |
gTnm1(i,j,Nr,bi,bj)=(gTnm1(i,j,Nr,bi,bj) |
gXnm1(i,j,Nr,bi,bj)=(gXnm1(i,j,Nr,bi,bj) |
92 |
& -a(i,j)*gTnm1(i,j,Nr-1,bi,bj))*bet(i,j) |
& -a(i,j)*gXnm1(i,j,Nr-1,bi,bj))*bet(i,j) |
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gSnm1(i,j,Nr,bi,bj)=(gSnm1(i,j,Nr,bi,bj) |
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& -a(i,j)*gSnm1(i,j,Nr-1,bi,bj))*bet(i,j) |
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93 |
ENDDO |
ENDDO |
94 |
ENDDO |
ENDDO |
95 |
C-- Backward sweep |
C-- Backward sweep |
96 |
DO k=Nr-1,1,-1 |
DO k=Nr-1,1,-1 |
97 |
DO j=jMin,jMax |
DO j=jMin,jMax |
98 |
DO i=iMin,iMax |
DO i=iMin,iMax |
99 |
gTnm1(i,j,k,bi,bj)=gTnm1(i,j,k,bi,bj) |
gXnm1(i,j,k,bi,bj)=gXnm1(i,j,k,bi,bj) |
100 |
& -gam(i,j,k+1)*gTnm1(i,j,k+1,bi,bj) |
& -gam(i,j,k+1)*gXnm1(i,j,k+1,bi,bj) |
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gSnm1(i,j,k,bi,bj)=gSnm1(i,j,k,bi,bj) |
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& -gam(i,j,k+1)*gSnm1(i,j,k+1,bi,bj) |
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101 |
ENDDO |
ENDDO |
102 |
ENDDO |
ENDDO |
103 |
ENDDO |
ENDDO |