- Timestamp:
- 2010-06-24T17:27:10+02:00 (14 years ago)
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- 1 edited
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branches/DEV_r1784_mid_year_merge_2010/NEMO/TOP_SRC/TRP/trczdf_iso_vopt.F90
r1328 r1953 154 154 zws => va ! workspace 155 155 INTEGER, INTENT( in ) :: kt ! ocean time-step index 156 INTEGER :: ji, jj, jk, jn ! dummy loop indices156 INTEGER :: ji, jj, jk, jn ! dummy loop indices 157 157 REAL(wp) :: zavi, zrhs ! temporary scalars 158 158 REAL(wp), DIMENSION(jpi,jpj,jpk) :: & … … 180 180 ENDIF 181 181 182 183 zwd ( 1, :, : ) = 0.e0 ; zwd ( jpi, :, : ) = 0.e0 184 zws ( 1, :, : ) = 0.e0 ; zws ( jpi, :, : ) = 0.e0 185 zwi ( 1, :, : ) = 0.e0 ; zwi ( jpi, :, : ) = 0.e0 186 zwt ( 1, :, : ) = 0.e0 ; zwt ( jpi, :, : ) = 0.e0 187 zwt ( :, :, 1 ) = 0.e0 ; zwt ( :, :, jpk ) = 0.e0 188 zavsi( 1, :, : ) = 0.e0 ; zavsi( jpi, :, : ) = 0.e0 189 zavsi( :, :, 1 ) = 0.e0 ; zavsi( :, :, jpk ) = 0.e0 190 191 192 ! II. Vertical trend associated with the vertical physics 193 !======================================================= 194 ! (including the vertical flux proportional to dk[t] associated 195 ! with the lateral mixing, through the avt update) 196 ! dk[ avt dk[ (t,s) ] ] diffusive trends 197 198 ! II.0 Matrix construction 199 ! ------------------------ 200 ! update and save of avt (and avs if double diffusive mixing) 201 DO jk = 2, jpkm1 202 DO jj = 2, jpjm1 203 DO ji = fs_2, fs_jpim1 ! vector opt. 204 zavi = fsahtw(ji,jj,jk) * ( & ! vertical mixing coef. due to lateral mixing 205 & wslpi(ji,jj,jk) * wslpi(ji,jj,jk) & 206 & + wslpj(ji,jj,jk) * wslpj(ji,jj,jk) ) 207 zavsi(ji,jj,jk) = fstravs(ji,jj,jk) + zavi ! dd mixing: zavsi = total vertical mixing coef. on tracer 208 END DO 209 END DO 210 END DO 211 212 ! II.1 Vertical diffusion on tracer 213 ! --------------------------------- 214 ! Rebuild the Matrix as avt /= avs 215 216 ! Diagonal, inferior, superior (including the bottom boundary condition via avs masked) 217 DO jk = 1, jpkm1 218 DO jj = 2, jpjm1 219 DO ji = fs_2, fs_jpim1 ! vector opt. 220 zwi(ji,jj,jk) = - rdttrc(jk) * zavsi(ji,jj,jk ) / ( fse3t(ji,jj,jk) * fse3w(ji,jj,jk ) ) 221 zws(ji,jj,jk) = - rdttrc(jk) * zavsi(ji,jj,jk+1) / ( fse3t(ji,jj,jk) * fse3w(ji,jj,jk+1) ) 222 zwd(ji,jj,jk) = 1. - zwi(ji,jj,jk) - zws(ji,jj,jk) 223 END DO 224 END DO 225 END DO 226 227 ! Surface boudary conditions 228 DO jj = 2, jpjm1 229 DO ji = fs_2, fs_jpim1 ! vector opt. 230 zwi(ji,jj,1) = 0.e0 231 zwd(ji,jj,1) = 1. - zws(ji,jj,1) 232 END DO 233 END DO 234 235 !! Matrix inversion from the first level 236 !!---------------------------------------------------------------------- 237 ! solve m.x = y where m is a tri diagonal matrix ( jpk*jpk ) 238 ! 239 ! ( zwd1 zws1 0 0 0 )( zwx1 ) ( zwy1 ) 240 ! ( zwi2 zwd2 zws2 0 0 )( zwx2 ) ( zwy2 ) 241 ! ( 0 zwi3 zwd3 zws3 0 )( zwx3 )=( zwy3 ) 242 ! ( ... )( ... ) ( ... ) 243 ! ( 0 0 0 zwik zwdk )( zwxk ) ( zwyk ) 244 ! 245 ! m is decomposed in the product of an upper and lower triangular 246 ! matrix 247 ! The 3 diagonal terms are in 2d arrays: zwd, zws, zwi 248 ! The second member is in 2d array zwy 249 ! The solution is in 2d array zwx 250 ! The 3d arry zwt is a work space array 251 ! zwy is used and then used as a work space array : its value is modified! 252 253 ! first recurrence: Tk = Dk - Ik Sk-1 / Tk-1 (increasing k) 254 DO jj = 2, jpjm1 255 DO ji = fs_2, fs_jpim1 256 zwt(ji,jj,1) = zwd(ji,jj,1) 257 END DO 258 END DO 259 DO jk = 2, jpkm1 260 DO jj = 2, jpjm1 261 DO ji = fs_2, fs_jpim1 262 zwt(ji,jj,jk) = zwd(ji,jj,jk) - zwi(ji,jj,jk) * zws(ji,jj,jk-1)/zwt(ji,jj,jk-1) 263 END DO 264 END DO 265 END DO 266 182 267 IF( l_trdtrc ) ALLOCATE( ztrtrd(jpi,jpj,jpk) ) 183 268 … … 187 272 188 273 IF( l_trdtrc ) ztrtrd(:,:,:) = tra(:,:,:,jn) ! save trends 189 190 zwd ( 1, :, : ) = 0.e0 ; zwd ( jpi, :, : ) = 0.e0191 zws ( 1, :, : ) = 0.e0 ; zws ( jpi, :, : ) = 0.e0192 zwi ( 1, :, : ) = 0.e0 ; zwi ( jpi, :, : ) = 0.e0193 zwt ( 1, :, : ) = 0.e0 ; zwt ( jpi, :, : ) = 0.e0194 zwt ( :, :, 1 ) = 0.e0 ; zwt ( :, :, jpk ) = 0.e0195 zavsi( 1, :, : ) = 0.e0 ; zavsi( jpi, :, : ) = 0.e0196 zavsi( :, :, 1 ) = 0.e0 ; zavsi( :, :, jpk ) = 0.e0197 274 198 275 # if defined key_trc_diatrd … … 200 277 ztrd(:,:,:) = tra(:,:,:,jn) 201 278 # endif 202 203 ! II. Vertical trend associated with the vertical physics204 ! =======================================================205 ! (including the vertical flux proportional to dk[t] associated206 ! with the lateral mixing, through the avt update)207 ! dk[ avt dk[ (t,s) ] ] diffusive trends208 209 210 ! II.0 Matrix construction211 ! ------------------------212 ! update and save of avt (and avs if double diffusive mixing)213 DO jk = 2, jpkm1214 DO jj = 2, jpjm1215 DO ji = fs_2, fs_jpim1 ! vector opt.216 zavi = fsahtw(ji,jj,jk) * ( & ! vertical mixing coef. due to lateral mixing217 & wslpi(ji,jj,jk) * wslpi(ji,jj,jk) &218 & + wslpj(ji,jj,jk) * wslpj(ji,jj,jk) )219 zavsi(ji,jj,jk) = fstravs(ji,jj,jk) + zavi ! dd mixing: zavsi = total vertical mixing coef. on tracer220 221 END DO222 END DO223 END DO224 225 226 ! II.1 Vertical diffusion on tracer227 ! ---------------------------------228 229 ! Rebuild the Matrix as avt /= avs230 231 ! Diagonal, inferior, superior (including the bottom boundary condition via avs masked)232 DO jk = 1, jpkm1233 DO jj = 2, jpjm1234 DO ji = fs_2, fs_jpim1 ! vector opt.235 zwi(ji,jj,jk) = - rdttrc(jk) * zavsi(ji,jj,jk ) / ( fse3t(ji,jj,jk) * fse3w(ji,jj,jk ) )236 zws(ji,jj,jk) = - rdttrc(jk) * zavsi(ji,jj,jk+1) / ( fse3t(ji,jj,jk) * fse3w(ji,jj,jk+1) )237 zwd(ji,jj,jk) = 1. - zwi(ji,jj,jk) - zws(ji,jj,jk)238 END DO239 END DO240 END DO241 242 ! Surface boudary conditions243 DO jj = 2, jpjm1244 DO ji = fs_2, fs_jpim1 ! vector opt.245 zwi(ji,jj,1) = 0.e0246 zwd(ji,jj,1) = 1. - zws(ji,jj,1)247 END DO248 END DO249 250 !! Matrix inversion from the first level251 !!----------------------------------------------------------------------252 ! solve m.x = y where m is a tri diagonal matrix ( jpk*jpk )253 !254 ! ( zwd1 zws1 0 0 0 )( zwx1 ) ( zwy1 )255 ! ( zwi2 zwd2 zws2 0 0 )( zwx2 ) ( zwy2 )256 ! ( 0 zwi3 zwd3 zws3 0 )( zwx3 )=( zwy3 )257 ! ( ... )( ... ) ( ... )258 ! ( 0 0 0 zwik zwdk )( zwxk ) ( zwyk )259 !260 ! m is decomposed in the product of an upper and lower triangular261 ! matrix262 ! The 3 diagonal terms are in 2d arrays: zwd, zws, zwi263 ! The second member is in 2d array zwy264 ! The solution is in 2d array zwx265 ! The 3d arry zwt is a work space array266 ! zwy is used and then used as a work space array : its value is modified!267 268 ! first recurrence: Tk = Dk - Ik Sk-1 / Tk-1 (increasing k)269 DO jj = 2, jpjm1270 DO ji = fs_2, fs_jpim1271 zwt(ji,jj,1) = zwd(ji,jj,1)272 END DO273 END DO274 DO jk = 2, jpkm1275 DO jj = 2, jpjm1276 DO ji = fs_2, fs_jpim1277 zwt(ji,jj,jk) = zwd(ji,jj,jk) - zwi(ji,jj,jk) * zws(ji,jj,jk-1) /zwt(ji,jj,jk-1)278 END DO279 END DO280 END DO281 279 282 280 ! second recurrence: Zk = Yk - Ik / Tk-1 Zk-1
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