1 | subroutine filter |
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2 | #define DEBUG_LEVEL 1 |
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3 | use mpi_parameters |
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4 | use boundary_information |
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5 | use dependent_variables |
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6 | use counters_flags_etc |
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7 | implicit none |
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8 | |
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9 | integer :: sizeofreal,locnx |
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10 | include '../input/problem_size.h' |
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11 | include 'mpif.h' |
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12 | |
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13 | ! At designated time steps, apply fourth order compact spatial filters |
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14 | if( mod(istep,i_filter) == 0 .and. istep .ne. 0 ) then |
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15 | |
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16 | #if DEBUG_LEVEL >= 1 |
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17 | if(myid==0) write(0,*) 'hello world from subroutine filter ' |
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18 | #endif |
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19 | |
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20 | if( boundary_type2(1,1)=='periodic' .and. boundary_type4(1,1)=='periodic' ) then |
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21 | locnx = (nx-1)/nprocs |
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22 | else |
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23 | locnx = nx/nprocs |
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24 | endif |
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25 | |
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26 | !! create a derived data type |
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27 | call MPI_TYPE_EXTENT(MPI_REAL,sizeofreal,ierr) |
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28 | call MPI_TYPE_VECTOR(locnx,1,1,MPI_REAL,oneslice,ierr) |
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29 | call MPI_TYPE_HVECTOR(ny,1,nx*sizeofreal,oneslice,twoslice,ierr) |
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30 | call MPI_TYPE_HVECTOR(locnz,1,nx*ny*sizeofreal,twoslice,subslice,ierr) |
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31 | call MPI_TYPE_COMMIT(subslice,ierr) |
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32 | call MPI_BARRIER(comm,ierr) |
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33 | |
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34 | call filter4(U) |
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35 | call filter4(v) |
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36 | call filter4(W) |
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37 | call filter4(s1) |
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38 | call filter4(s2) |
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39 | |
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40 | call MPI_BARRIER(comm,ierr) |
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41 | |
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42 | !! free data type |
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43 | call MPI_TYPE_FREE(oneslice,ierr) |
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44 | call MPI_TYPE_FREE(twoslice,ierr) |
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45 | call MPI_TYPE_FREE(subslice,ierr) |
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46 | |
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47 | endif |
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48 | |
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49 | end subroutine filter |
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50 | |
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51 | subroutine filter4(U) |
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52 | #define DEBUG_LEVEL 1 |
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53 | use mpi_parameters |
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54 | use boundary_information |
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55 | use columnslab |
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56 | |
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57 | implicit none |
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58 | include 'mpif.h' |
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59 | |
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60 | include '../input/problem_size.h' |
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61 | integer :: n1,n2,n3,nzderiv,locnx |
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62 | real, dimension(:,:,:), allocatable :: block_of_cols |
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63 | real, dimension(nx,ny,locnz) :: U |
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64 | |
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65 | if( boundary_type2(1,1)=='periodic' .and. boundary_type4(1,1)=='periodic' ) then |
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66 | locnx = (nx-1)/nprocs |
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67 | else |
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68 | locnx = nx/nprocs |
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69 | endif |
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70 | |
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71 | ! filter in x and y directions, overwriting input array in both cases |
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72 | call filter_x4(U,U,nx,ny,locnz) |
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73 | call filter_y4(U,U,nx,ny,locnz) |
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74 | |
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75 | !filter in z direction : |
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76 | !******************************************************* |
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77 | ! See compact_ddz_mpi for more details, but basically, each processor |
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78 | ! needs to ship sub-blocks of its own dataslice and recieve those |
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79 | ! necessary to construct a block with dimensions nx/numprocs * ny * nz. |
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80 | ! Filtering is done on these blocks and the results shipped back |
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81 | ! to the appropriate locations |
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82 | !******************************************************* |
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83 | |
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84 | nzderiv=nz ! don't use nzderiv < nz logic |
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85 | !Both CASE1 and CASE2 require simple calls to compact_ddz |
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86 | if( numprocs == 1 .and. locnz == nz .and. nzderiv == nz ) then |
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87 | goto 999 ! CASE1 |
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88 | elseif(numprocs > 1 .and. nzderiv == locnz .and. locnz < nz) then |
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89 | goto 999 ! CASE2 |
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90 | elseif(numprocs > 1 .and. nzderiv == nz .and. nz > locnz) then |
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91 | !CASE3 logic |
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92 | |
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93 | allocate ( block_of_cols( locnx,ny,numprocs*locnz) ) |
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94 | |
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95 | !!******************************************************************************* |
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96 | !!************* DO THE DATA EXCHANGES **************************************** |
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97 | !!******************************************************************************* |
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98 | |
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99 | !!(1) Ship portions of my slice needed by other processes and |
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100 | !! receive data needed to fill in "block_of_cols" |
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101 | |
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102 | call slabs_to_columns(U,block_of_cols) |
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103 | |
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104 | !!(2) Apply z4 filtering to "block_of_cols" |
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105 | |
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106 | n1=locnx |
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107 | n2=ny |
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108 | n3=locnz*numprocs |
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109 | call filter_z4(block_of_cols,block_of_cols,n1,n2,n3) |
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110 | |
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111 | !!(3) Send filtered fields to other processes |
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112 | !! and receive their results. |
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113 | |
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114 | call columns_to_slabs(block_of_cols,U) |
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115 | |
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116 | !!******************************************************************************* |
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117 | !!************* END DATA EXCHANGES **************************************** |
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118 | !!******************************************************************************* |
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119 | |
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120 | if( boundary_type2(1,1)=='periodic' .and. boundary_type4(1,1)=='periodic' ) then |
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121 | U(nx,:,:)=U(1,:,:) ! we didn't compute the values at extra bdry point location in x |
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122 | endif |
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123 | |
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124 | deallocate(block_of_cols) |
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125 | return |
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126 | endif |
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127 | |
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128 | 999 continue ! CASE1 & CASE2 |
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129 | n1=nx |
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130 | n2=ny |
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131 | n3=nzderiv |
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132 | call filter_z4(U,U,n1,n2,n3) |
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133 | |
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134 | end subroutine filter4 |
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135 | |
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136 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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137 | subroutine filter_x4(data,deriv,nx,ny,nz) |
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138 | ! routine to perform 4th order filtering wrt x (1st dimension) |
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139 | ! of a 3d field stored in data(1:nx,1:ny,1:nz). |
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140 | ! |
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141 | ! inputs |
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142 | ! data nx,ny,nz array of input values |
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143 | ! nx,ny,nz dimensions of field to be differentiated |
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144 | ! |
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145 | ! output |
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146 | ! deriv nx,ny,nz array containing the 4th order |
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147 | ! filtered (in x) field |
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148 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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149 | |
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150 | use grid_info |
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151 | use boundary_information |
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152 | use user_parameters, only: LAPACK_FLAG |
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153 | implicit none |
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154 | |
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155 | !!! double precision, dimension(:,:),allocatable :: work |
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156 | real, dimension(:,:),allocatable :: work |
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157 | integer :: i,j,k,nx,ny,nz,ierr |
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158 | real :: data(nx,ny,nz),deriv(nx,ny,nz) |
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159 | !!! double precision :: a,b,c |
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160 | real :: a,b,c |
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161 | |
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162 | real,allocatable,dimension(:) :: kx,SF,in,out,tmp |
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163 | real :: pi,kx_max,xnorm,kstar,dk |
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164 | integer*8 :: plan_f,plan_i !size must match pointer size, 8 for DEC alphas |
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165 | integer :: N |
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166 | include 'fftw_kw.inc' ! predefined FFTW constants |
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167 | |
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168 | |
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169 | if( boundary_type2(1,1)=='periodic' ) then |
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170 | N=nx-1 ! nx includes both boundary points, N only 1 |
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171 | allocate(kx(N+1),SF(N)) |
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172 | allocate( in(N),out(N),tmp(N) ) |
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173 | |
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174 | ! X preliminaries, setup fftw "plan" |
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175 | call rfftw_f77_create_plan(plan_f,N,FFTW_REAL_TO_COMPLEX,FFTW_ESTIMATE) |
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176 | call rfftw_f77_create_plan(plan_i,N,FFTW_COMPLEX_TO_REAL,FFTW_ESTIMATE) |
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177 | |
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178 | |
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179 | ! create the x array, align with the data arrays |
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180 | pi=4.*atan(1.) |
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181 | xnorm = 1./float(N) ! only normalize in wavenumber space here |
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182 | do i=1,N/2+1 |
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183 | kx(i)=2.*pi*(i-1.) ! FFTW real to half-complex storage |
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184 | enddo |
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185 | do i=2,N/2 |
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186 | kx(N-i+2)=kx(i) ! FFTW real to half-complex storage |
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187 | enddo |
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188 | kx(N+1)=0. ! extra location, convenient for alignment of arrays |
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189 | |
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190 | ! define smoothing filter |
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191 | kx_max=kx(N/2+1) |
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192 | kstar=(8./9.)*kx_max |
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193 | do i=1,N |
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194 | !if( kx(i) >= (8./9.)*kx_max ) then |
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195 | ! SF(i)=0. |
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196 | !else |
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197 | ! SF(i)=1.0 |
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198 | !endif |
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199 | SF(i)=0.5*( -tanh( 8.*(kx(i)-kstar)/(kx_max) ) + 1. ) |
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200 | enddo |
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201 | |
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202 | do k=1,nz |
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203 | do j=1,ny |
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204 | |
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205 | ! x transforms; filter & inverse transform |
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206 | in(1:N)=data(1:N,j,k) |
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207 | call rfftw_f77_one(plan_f,in,out) |
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208 | tmp(1:N)=SF(1:N)*out(1:N)*xnorm |
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209 | call rfftw_f77_one(plan_i,tmp,out) |
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210 | deriv(1:N,j,k)=out |
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211 | deriv(nx,j,k)=deriv(1,j,k) |
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212 | |
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213 | enddo |
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214 | enddo |
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215 | |
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216 | call rfftw_f77_destroy_plan(plan_f) |
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217 | call rfftw_f77_destroy_plan(plan_i) |
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218 | deallocate( kx,SF,in,out,tmp ) |
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219 | return |
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220 | endif |
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221 | |
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222 | ! GENERAL, NONPERIODIC LOGIC |
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223 | allocate ( work(nx,ny) ) |
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224 | !Set filter coefficients: |
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225 | a=(5.+6.*alpha)/8. |
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226 | b=(1.+2.*alpha)/2. |
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227 | c=-(1.-2.*alpha)/8. |
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228 | |
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229 | !Loop through each horizontal plane |
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230 | do k=1,nz |
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231 | |
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232 | !Create rhs vectors, store in work(:,:,1) |
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233 | do i=3,nx-2 |
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234 | do j=1,ny |
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235 | work(i,j)=a*data(i,j,k) + b*( data(i+1,j,k)+data(i-1,j,k) )/2. & |
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236 | + c*( data(i+2,j,k)+data(i-2,j,k) )/2. |
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237 | enddo |
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238 | enddo |
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239 | |
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240 | do j=1,ny |
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241 | work(1,j)= (15./16.)*data(1,j,k) + (1./16.)*( 4*data(2,j,k) & |
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242 | -6.*data(3,j,k) + 4.*data(4,j,k) - data(5,j,k) ) |
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243 | work(2,j)= (3./4.)*data(2,j,k) + (1./16.)*( data(1,j,k) & |
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244 | +6.*data(3,j,k) - 4.*data(4,j,k) + data(5,j,k) ) |
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245 | |
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246 | work(nx,j)=(15./16.)*data(nx,j,k) + (1./16.)*( 4*data(nx-1,j,k) & |
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247 | -6.*data(nx-2,j,k) + 4.*data(nx-3,j,k) - data(nx-4,j,k)) |
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248 | work(nx-1,j)= (3./4.)*data(nx-1,j,k) + (1./16)*( data(nx,j,k) & |
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249 | +6.*data(nx-2,j,k) - 4.*data(nx-3,j,k) + data(nx-4,j,k)) |
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250 | enddo |
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251 | |
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252 | ! compute the filtered fields for plane k, results overwritten onto work(:,:) |
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253 | if( LAPACK_FLAG == 'double' ) then |
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254 | !!! call DGBTRS('N',nx,1,1,ny,Grid(0)%filt_x,4,Grid(0)%piv_fx,work(1,1),nx,ierr) |
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255 | write(0,*) 'LAPACK_FLAG = double instead of single' |
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256 | stop |
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257 | elseif( LAPACK_FLAG == 'single' ) then |
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258 | call SGBTRS('N',nx,1,1,ny,Grid(0)%filt_x,4,Grid(0)%piv_fx,work(1,1),nx,ierr) |
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259 | endif |
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260 | |
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261 | deriv(:,:,k)=work(:,:) !store the results in deriv(:,:,k) |
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262 | |
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263 | enddo ! next k plane |
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264 | |
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265 | deallocate ( work ) |
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266 | end subroutine filter_x4 |
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267 | |
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268 | subroutine filter_y4(data,deriv,nx,ny,nz) |
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269 | ! routine to perform 4th order filtering wrt y (2nd dimension) |
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270 | ! of a 3d field stored in data(1:nx,1:ny,1:nz). |
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271 | ! |
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272 | ! inputs |
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273 | ! data nx,ny,nz array of input values |
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274 | ! nx,ny,nz dimensions of field to be differentiated |
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275 | |
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276 | ! output |
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277 | ! deriv nx,ny,nz array containing the 4th order |
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278 | ! accurate filtered (in y ) field |
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279 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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280 | |
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281 | use grid_info |
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282 | use boundary_information |
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283 | use user_parameters, only: LAPACK_FLAG |
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284 | implicit none |
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285 | |
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286 | !!! double precision, dimension(:,:),allocatable :: work |
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287 | real, dimension(:,:),allocatable :: work |
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288 | integer :: i,j,k,nx,ny,nz,ierr |
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289 | real :: data(nx,ny,nz),deriv(nx,ny,nz) |
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290 | !!! double precision :: a,b,c |
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291 | real :: a,b,c |
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292 | |
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293 | real,allocatable,dimension(:) :: ky,SF,in,out,tmp |
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294 | real :: pi,ky_max,xnorm,kstar,dk |
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295 | integer*8 :: plan_f,plan_i !size must match pointer size, 8 for DEC alphas |
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296 | integer :: N |
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297 | include 'fftw_kw.inc' ! predefined FFTW constants |
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298 | |
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299 | |
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300 | if( boundary_type4(1,1)=='periodic' ) then |
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301 | N=ny-1 ! ny includes both boundary points, N only 1 |
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302 | allocate( in(N),out(N),tmp(N) ) |
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303 | allocate(ky(N+1),SF(N)) |
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304 | |
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305 | ! Y preliminaries, setup fftw "plan" |
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306 | call rfftw_f77_create_plan(plan_f,N,FFTW_REAL_TO_COMPLEX,FFTW_ESTIMATE) |
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307 | call rfftw_f77_create_plan(plan_i,N,FFTW_COMPLEX_TO_REAL,FFTW_ESTIMATE) |
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308 | |
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309 | ! create the y array, align with the data arrays |
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310 | pi=4.*atan(1.) |
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311 | xnorm = 1./float(N) ! only normalize in wavenumber space here |
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312 | do j=1,N/2+1 |
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313 | ky(j)=2.*pi*(j-1.) ! FFTW real to half-complex storage |
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314 | enddo |
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315 | do j=2,N/2 |
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316 | ky(N-j+2)=ky(j) ! FFTW real to half-complex storage |
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317 | enddo |
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318 | ky(N+1)=0. ! extra location, convenient for alignment of arrays |
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319 | |
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320 | ! define smoothing filter |
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321 | ky_max=ky(N/2+1) |
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322 | kstar=(8./9.)*ky_max |
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323 | |
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324 | if( N <= 16 ) then |
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325 | do j=1,N |
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326 | SF(j)=1.0 ! no filtering |
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327 | enddo |
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328 | elseif( N > 16 ) then |
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329 | do j=1,N |
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330 | SF(j)=0.5*( -tanh( 8.*(ky(j)-kstar)/(ky_max) ) + 1. ) |
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331 | enddo |
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332 | endif |
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333 | |
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334 | do k=1,nz |
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335 | do i=2,nx-1 |
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336 | |
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337 | ! y transforms; filter & inverse transform |
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338 | in(1:N)=data(i,1:N,k) |
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339 | call rfftw_f77_one(plan_f,in,out) |
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340 | tmp(1:N)=SF(1:N)*out(1:N)*xnorm |
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341 | call rfftw_f77_one(plan_i,tmp,out) |
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342 | deriv(i,1:N,k)=out |
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343 | deriv(i,ny,k)=deriv(i,1,k) |
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344 | |
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345 | enddo |
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346 | enddo |
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347 | deriv(1,:,:)=data(1,:,:) |
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348 | deriv(nx,:,:)=data(nx,:,:) |
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349 | |
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350 | call rfftw_f77_destroy_plan(plan_f) |
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351 | call rfftw_f77_destroy_plan(plan_i) |
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352 | deallocate( ky,SF,in,out,tmp ) |
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353 | return |
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354 | endif |
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355 | |
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356 | ! GENERAL, NONPERIODIC LOGIC |
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357 | |
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358 | allocate ( work(ny,nx) ) |
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359 | a=(5.+6.*alpha)/8. |
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360 | b=(1.+2.*alpha)/2. |
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361 | c=-(1.-2.*alpha)/8. |
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362 | |
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363 | !Loop through each horizontal plane |
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364 | do k=1,nz |
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365 | ! create rhs vectors, store in work(:,:,1) |
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366 | do j=3,ny-2 |
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367 | do i=1,nx |
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368 | work(j,i)=a*data(i,j,k) + b*( data(i,j+1,k)+data(i,j-1,k) )/2. & |
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369 | + c*( data(i,j+2,k)+data(i,j-2,k) )/2. |
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370 | enddo |
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371 | enddo |
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372 | |
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373 | do i=1,nx |
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374 | work(1,i)= (15./16.)*data(i,1,k) + (1./16.)*( 4.*data(i,2,k) & |
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375 | -6.*data(i,3,k) + 4.*data(i,4,k) - data(i,5,k) ) |
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376 | work(2,i)= (3./4.)*data(i,2,k) + (1./16.)*( data(i,1,k) & |
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377 | +6.*data(i,3,k) - 4.*data(i,4,k) + data(i,5,k) ) |
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378 | |
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379 | work(ny,i)=(15./16.)*data(i,ny,k) + (1./16.)*( 4.*data(i,ny-1,k) & |
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380 | -6.*data(i,ny-2,k) + 4.*data(i,ny-3,k) - data(i,ny-4,k)) |
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381 | work(ny-1,i)=(3./4.)*data(i,ny-1,k) + (1./16)*( data(i,ny,k) & |
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382 | +6.*data(i,ny-2,k) - 4.*data(i,ny-3,k) + data(i,ny-4,k)) |
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383 | enddo |
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384 | |
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385 | ! compute the filtered fields for plane k, overwriting results into work(:,:) |
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386 | if( LAPACK_FLAG == 'double' ) then |
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387 | !!! call DGBTRS('N',ny,1,1,nx,Grid(0)%filt_y,4,Grid(0)%piv_fy,work(1,1),ny,ierr) |
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388 | write(0,*) 'LAPACK_FLAG = double instead of single' |
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389 | stop |
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390 | elseif( LAPACK_FLAG == 'single' ) then |
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391 | call SGBTRS('N',ny,1,1,nx,Grid(0)%filt_y,4,Grid(0)%piv_fy,work(1,1),ny,ierr) |
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392 | endif |
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393 | |
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394 | ! store the results in deriv(:,:,k) |
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395 | do i=1,nx |
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396 | do j=1,ny |
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397 | deriv(i,j,k)=work(j,i) |
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398 | enddo |
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399 | enddo |
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400 | |
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401 | enddo ! next k plane |
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402 | |
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403 | deallocate ( work ) |
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404 | end subroutine filter_y4 |
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405 | |
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406 | subroutine filter_z4(data,deriv,nx,ny,nz) |
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407 | ! |
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408 | ! routine to perform 4th order filtering wrt z (3rd dimension) |
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409 | ! of a 3d field stored in data(1:nx,1:ny,1:nz). |
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410 | ! |
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411 | ! inputs |
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412 | ! data nx,ny,nz array of input values |
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413 | ! nx,ny,nz dimensions of field to be filtered |
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414 | ! |
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415 | ! output |
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416 | ! deriv nx,ny,nz array containing the filtered field |
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417 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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418 | |
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419 | use grid_info |
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420 | use user_parameters, only: LAPACK_FLAG |
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421 | implicit none |
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422 | |
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423 | !!! double precision, dimension(:,:),allocatable :: work |
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424 | real, dimension(:,:),allocatable :: work |
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425 | integer :: i,j,k,nx,ny,nz,ierr |
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426 | real :: data(nx,ny,nz),deriv(nx,ny,nz) |
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427 | !!! double precision :: a,b,c |
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428 | real :: a,b,c |
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429 | allocate ( work(nz,nx) ) |
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430 | |
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431 | a=(5.+6.*alpha)/8. |
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432 | b=(1.+2.*alpha)/2. |
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433 | c=-(1.-2.*alpha)/8. |
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434 | |
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435 | !Loop through each xz vertical plane |
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436 | do j=1,ny |
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437 | ! create rhs vectors, store in work(:,:,1) |
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438 | |
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439 | do k=3,nz-2 |
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440 | do i=1,nx |
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441 | work(k,i)=a*data(i,j,k) + b*( data(i,j,k+1)+data(i,j,k-1) )/2. & |
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442 | + c*( data(i,j,k+2)+data(i,j,k-2) )/2. |
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443 | enddo |
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444 | enddo |
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445 | |
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446 | do i=1,nx |
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447 | work(1,i)= (15./16.)*data(i,j,1) + (1./16.)*( 4.*data(i,j,2) & |
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448 | -6.*data(i,j,3) + 4.*data(i,j,4) - data(i,j,5) ) |
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449 | work(2,i)= (3./4.)*data(i,j,2) + (1./16.)*( data(i,j,1) & |
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450 | +6.*data(i,j,3) - 4.*data(i,j,4) + data(i,j,5) ) |
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451 | |
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452 | work(nz,i)=(15./16.)*data(i,j,nz) + (1./16.)*( 4.*data(i,j,nz-1) & |
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453 | -6.*data(i,j,nz-2) + 4.*data(i,j,nz-3) - data(i,j,nz-4)) |
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454 | work(nz-1,i)=(3./4.)*data(i,j,nz-1) + (1./16.)*( data(i,j,nz) & |
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455 | +6.*data(i,j,nz-2) - 4.*data(i,j,nz-3) + data(i,j,nz-4)) |
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456 | enddo |
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457 | |
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458 | !Filter the fields wrt z for plane j, overwriting results into work(:,:) |
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459 | if( LAPACK_FLAG == 'double' ) then |
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460 | !!! call DGBTRS('N',nz,1,1,nx,Grid(0)%filt_z,4,Grid(0)%piv_fz,work(1,1),nz,ierr) |
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461 | write(0,*) 'LAPACK_FLAG = double instead of single' |
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462 | stop |
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463 | elseif( LAPACK_FLAG == 'single' ) then |
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464 | call SGBTRS('N',nz,1,1,nx,Grid(0)%filt_z,4,Grid(0)%piv_fz,work(1,1),nz,ierr) |
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465 | endif |
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466 | |
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467 | !Store the results in deriv(:,j,:) |
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468 | do k=1,nz |
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469 | do i=1,nx |
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470 | deriv(i,j,k)=work(k,i) |
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471 | enddo |
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472 | enddo |
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473 | |
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474 | enddo ! go on to the next plane |
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475 | |
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476 | deallocate ( work ) |
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477 | end subroutine filter_z4 |
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478 | |
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