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C $Header: /u/gcmpack/models/MITgcmUV/pkg/monitor/mon_stats_rl.F,v 1.1 2001/05/30 19:33:18 adcroft Exp $ |
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C $Name: $ |
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|
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#include "CPP_OPTIONS.h" |
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|
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SUBROUTINE MON_STATS_RL( |
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I myNr, arr, |
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O theMin,theMax,theMean,theSD, |
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I myThid ) |
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C /==========================================================\ |
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C | SUBROUTINE MON_STATS_RL | |
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C | o Calculate bare statistics of global array "_RL arr" | |
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C |==========================================================| |
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C \==========================================================/ |
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IMPLICIT NONE |
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|
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C === Global data === |
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#include "SIZE.h" |
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#include "EEPARAMS.h" |
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|
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C === Routine arguments === |
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INTEGER myNr |
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_RL arr(1-OLx:sNx+OLx,1-OLy:sNy+OLy,myNr,nSx,nSy) |
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_RL theMin |
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_RL theMax |
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_RL theMean |
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_RL theSD |
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INTEGER myThid |
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|
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C === Local variables ==== |
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INTEGER bi,bj,I,J,K |
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INTEGER numPnts |
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LOGICAL noPnts |
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_RL tmpVal,rNumPnts |
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_RL theVar |
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|
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theMin=0. |
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theMax=0. |
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theMean=0. |
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theSD=0. |
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theVar=0. |
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numPnts=0 |
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noPnts=.TRUE. |
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|
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DO bj=myByLo(myThid),myByHi(myThid) |
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DO bi=myBxLo(myThid),myBxHi(myThid) |
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DO K=1,myNr |
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DO J=1,sNy |
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DO I=1,sNx |
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tmpVal=arr(I,J,K,bi,bj) |
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IF (tmpVal.NE.0. .AND. noPnts) THEN |
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theMin=tmpVal |
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theMax=tmpVal |
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noPnts=.FALSE. |
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ENDIF |
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IF (tmpVal.NE.0.) THEN |
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theMin=min(theMin,tmpVal) |
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theMax=max(theMax,tmpVal) |
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theMean=theMean+tmpVal |
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theVar=theVar+tmpVal**2 |
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numPnts=numPnts+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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theMin=-theMin |
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_GLOBAL_MAX_R8(theMin,myThid) |
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theMin=-theMin |
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_GLOBAL_MAX_R8(theMax,myThid) |
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_GLOBAL_SUM_R8(theMean,myThid) |
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_GLOBAL_SUM_R8(theVar,myThid) |
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tmpVal=FLOAT(numPnts) |
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_GLOBAL_SUM_R8(tmpVal,myThid) |
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numPnts=INT(tmpVal+0.5) |
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|
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IF (tmpVal.GT.0.) THEN |
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rNumPnts=1./tmpVal |
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theMean=theMean*rNumPnts |
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theVar=theVar*rNumPnts |
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|
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DO bj=myByLo(myThid),myByHi(myThid) |
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DO bi=myBxLo(myThid),myBxHi(myThid) |
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DO K=1,myNr |
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DO J=1,sNy |
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DO I=1,sNx |
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tmpVal=arr(I,J,K,bi,bj) |
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IF (tmpVal.NE.0.) THEN |
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theSD=theSD+(tmpVal-theMean)**2 |
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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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_GLOBAL_SUM_R8(theSD,myThid) |
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|
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theSD=sqrt(theSD*rNumPnts) |
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c theSD=sqrt(theVar-theMean**2) |
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ENDIF |
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|
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RETURN |
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END |
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