Class | initialdata_disturb |
In: |
../src/env/initialdata_disturb.f90
|
擾乱のデフォルト値を与えるためのルーチン.
Subroutine : | |
XposMin : | real(DP), intent(in) |
XposMax : | real(DP), intent(in) |
YposMin : | real(DP), intent(in) |
YposMax : | real(DP), intent(in) |
ZposMin : | real(DP), intent(in) |
ZposMax : | real(DP), intent(in) |
xyzf_QMix(imin:imax, jmin:jmax, kmin:kmax, 1:ncmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_dryreg( XposMin, XposMax, YposMin, YposMax, ZposMin, ZposMax, xyzf_QMix) use basicset, only: xyzf_QMixBZ implicit none real(DP), intent(in) ::XposMin, XposMax, YposMin, YposMax, ZposMin, ZposMax real(DP), intent(out) :: xyzf_QMix(imin:imax, jmin:jmax, kmin:kmax, 1:ncmax) integer :: i, j, k, s ! XposMin:XposMax,ZposMin:ZposMax で囲まれた領域の初期の湿度をゼロにするために ! 基本場と逆符号の水蒸気擾乱を与える do s = 1, ncmax do k = kmin,kmax do j = jmin, jmax do i = imin,imax if (z_Z(k) >= ZposMin .AND. z_Z(k) < ZposMax .AND. y_Y(j) >= YposMin .AND. y_Y(j) < YposMax .AND. x_X(i) >= XposMin .AND. x_X(i) < XposMax) then xyzf_QMix(i,j,k,s) = - xyzf_QMixBZ(i,j,k,s) end if end do end do end do end do end subroutine initialdata_disturb_dryreg
Subroutine : | |
DelMax : | real(DP), intent(in) |
Xc : | real(DP), intent(in) |
Xr : | real(DP), intent(in) |
Yc : | real(DP), intent(in) |
Yr : | real(DP), intent(in) |
xyz_Var(imin:imax, jmin:jmax, kmin:kmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_gaussXY(DelMax, Xc, Xr, Yc, Yr, xyz_Var) implicit none real(DP), intent(in) :: DelMax, Xc, Xr, Yc, Yr real(DP), intent(out) :: xyz_Var(imin:imax, jmin:jmax, kmin:kmax) integer :: i, j, k do k = kmin, kmax do j = jmin, jmax do i = imin, imax xyz_Var(i,j,k) = DelMax * dexp( - ( (x_X(i) - Xc) / Xr )**2.0d0 * 5.0d-1 - ( (y_Y(j) - Yc) / Yr )**2.0d0 * 5.0d-1 ) end do end do end do ! where ( xyz_Var < DelMax * 1.0d-2) ! xyz_Var = 0.0d0 ! end where end subroutine initialdata_disturb_gaussXY
Subroutine : | |
DelMax : | real(DP), intent(in) |
Xc : | real(DP), intent(in) |
Xr : | real(DP), intent(in) |
Yc : | real(DP), intent(in) |
Yr : | real(DP), intent(in) |
Zc : | real(DP), intent(in) |
Zr : | real(DP), intent(in) |
xyz_Var(imin:imax, jmin:jmax, kmin:kmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_gaussXYZ(DelMax, Xc, Xr, Yc, Yr, Zc, Zr, xyz_Var) implicit none real(DP), intent(in) :: DelMax, Xc, Xr, Yc, Yr, Zc, Zr real(DP), intent(out) :: xyz_Var(imin:imax, jmin:jmax, kmin:kmax) integer :: i, j, k do k = kmin, kmax do j = jmin, jmax do i = imin, imax xyz_Var(i,j,k) = DelMax * dexp( - ( (x_X(i) - Xc) / Xr )**2.0d0 * 5.0d-1 - ( (y_Y(j) - Yc) / Yr )**2.0d0 * 5.0d-1 - ( (z_Z(k) - Zc) / Zr )**2.0d0 * 5.0d-1 ) end do end do end do ! where ( xyz_Var < DelMax * 1.0d-2) ! xyz_Var = 0.0d0 ! end where end subroutine initialdata_disturb_gaussXYZ
Subroutine : | |
DelMax : | real(DP), intent(in) |
Xc : | real(DP), intent(in) |
Xr : | real(DP), intent(in) |
Zc : | real(DP), intent(in) |
Zr : | real(DP), intent(in) |
xyz_Var(imin:imax, jmin:jmax, kmin:kmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_gaussXZ(DelMax, Xc, Xr, Zc, Zr, xyz_Var) implicit none real(DP), intent(in) :: DelMax, Xc, Xr, Zc, Zr real(DP), intent(out) :: xyz_Var(imin:imax, jmin:jmax, kmin:kmax) integer :: i, j, k do k = kmin, kmax do j = jmin, jmax do i = imin, imax xyz_Var(i,j,k) = DelMax * dexp( - ( (x_X(i) - Xc) / Xr )**2.0d0 * 5.0d-1 - ( (z_Z(k) - Zc) / Zr )**2.0d0 * 5.0d-1 ) end do end do end do ! where ( xyz_Var < DelMax * 1.0d-2) ! xyz_Var = 0.0d0 ! end where end subroutine initialdata_disturb_gaussXZ
Subroutine : | |
DelMax : | real(DP), intent(in) |
Yc : | real(DP), intent(in) |
Yr : | real(DP), intent(in) |
Zc : | real(DP), intent(in) |
Zr : | real(DP), intent(in) |
xyz_Var(imin:imax, jmin:jmax, kmin:kmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_gaussYZ(DelMax, Yc, Yr, Zc, Zr, xyz_Var) implicit none real(DP), intent(in) :: DelMax, Yc, Yr, Zc, Zr real(DP), intent(out) :: xyz_Var(imin:imax, jmin:jmax, kmin:kmax) integer :: i, j, k do k = kmin, kmax do j = jmin, jmax do i = imin, imax xyz_Var(i,j,k) = DelMax * dexp( - ( (z_Z(k) - Zc) / Zr )**2.0d0 * 5.0d-1 - ( (y_Y(j) - Yc) / Yr )**2.0d0 * 5.0d-1 ) end do end do end do ! where ( xyz_Var < DelMax * 1.0d-2) ! xyz_Var = 0.0d0 ! end where end subroutine initialdata_disturb_gaussYZ
Subroutine : | |
Hum : | real(DP), intent(in) |
xyzf_QMix(imin:imax, jmin:jmax, kmin:kmax, 1:ncmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_moist(Hum, xyzf_QMix) use basicset, only: xyz_TempBZ, xyz_PressBZ, xyzf_QMixBZ ! 基本場の混合比 use composition, only: MolWtWet, SpcWetMolFr !凝縮成分の初期モル比 use constants, only: MolWtDry !乾燥成分の分子量 use eccm, only: eccm_molfr implicit none real(DP), intent(in) :: Hum real(DP), intent(out) :: xyzf_QMix(imin:imax, jmin:jmax, kmin:kmax, 1:ncmax) real(DP) :: zf_MolFr(kmin:kmax, 1:ncmax) integer :: i, j, k, s ! 湿度ゼロなら何もしない if ( Hum == 0.0d0 ) return ! 水平一様なので, i=0 だけ計算. i = 1 j = 1 call eccm_molfr( SpcWetMolFr(1:ncmax), Hum, xyz_TempBZ(i,j,:), xyz_PressBZ(i,j,:), zf_MolFr ) !気相のモル比を混合比に変換 do s = 1, ncmax do k = 1, nz do j = 1, ny do i = 1, nx xyzf_QMix(i,j,k,s) = zf_MolFr(k,s) * MolWtWet(s) / MolWtDry - xyzf_QMixBZ(i,j,k,s) end do end do end do end do end subroutine initialdata_disturb_moist
Subroutine : | |
DelMax : | real(DP), intent(in) |
Zpos : | real(DP), intent(in) |
xyz_Var(imin:imax,jmin:jmax,kmin:kmax) : | real(DP), intent(out) |
subroutine initialdata_disturb_random( DelMax, Zpos, xyz_Var ) implicit none real(DP), intent(in) :: DelMax, Zpos real(DP), intent(out) :: xyz_Var(imin:imax,jmin:jmax,kmin:kmax) real(DP) :: Random !ファイルから取得した乱数 real(DP) :: Random1(imin:imax, jmin:jmax) integer :: i, j, k, kpos, ix, jy ! 初期化 xyz_Var = 0.0d0 ! 0.0--1.0 の擬似乱数発生 ! mpi の場合に, 各 CPU の持つ乱数が異なるよう調整している. ! do j = jmin, jmax + ( ny * nprocs ) do i = imin, imax * ( nx * nprocs ) call random_number(random) if (imin + nx * myrank <= i .AND. i <= imax + nx * myrank) then if (jmin + ny * myrank <= j .AND. j <= jmax + ny * myrank) then ix = i - nx * myrank jy = j - ny * myrank Random1(ix,jy) = random end if end if end do end do ! 指定された高度の配列添字を用意 do k = kmin, kmax if ( z_Z(k) >= Zpos ) then kpos = k exit end if end do ! 擾乱が全体としてはゼロとなるように調整. 平均からの差にする. do j = 1, ny do i = 1, nx xyz_Var(i, j, kpos) = DelMax * (Random1(i,j) - sum( Random1(1:nx,1:ny) ) / real((nx * ny),8)) end do end do end subroutine initialdata_disturb_random