randomnoise_mod Module Reference

Add random noise into the fields. More...

Functions/Subroutines
type(component_descriptor_type) function, public	randomnoise_get_descriptor ()
	Provides the descriptor back to the caller and is used in component registration. More...
subroutine	initialisation_callback (current_state)
	The initialisation callback sets up the buoyancy coefficient. More...

Variables
integer, parameter	max_size_seed_array =256
integer, parameter	i_seed =7
integer, parameter	isd =1

Detailed Description

Add random noise into the fields.

Function/Subroutine Documentation

initialisation_callback()

subroutine randomnoise_mod::initialisation_callback ( type(model_state_type), intent(inout), target  current_state )

private

The initialisation callback sets up the buoyancy coefficient.

Parameters

current_state

The current model state

Definition at line 33 of file randomnoise.F90.

    type(model_state_type), target, intent(inout) :: current_state
 
    integer, dimension(MAX_SIZE_SEED_ARRAY) :: iranseed
    real(kind=default_precision), dimension(:,:,:), allocatable :: randarr
    real(kind=default_precision) :: random_num
 
    integer :: nq_rand ! The number of q fields to add noise to
    integer :: nzq     ! The number of input levels for noise
    integer :: i,j,k,n ! loop counters
    integer :: iq      ! temporary q varible index
 
    real(kind=default_precision), dimension(:,:), allocatable :: f_rand_pl_q   ! Random Noise node amplitude for q variables
    real(kind=default_precision), dimension(:), allocatable :: z_rand_pl_q     ! Random Noise node height values for q variables
    real(kind=default_precision), dimension(:), allocatable :: f_rand_pl_theta ! Random Noise node amplitude for theta variable
    real(kind=default_precision), dimension(:), allocatable :: z_rand_pl_theta ! Random Noise node height values for theta variable
    real(kind=default_precision), dimension(:), allocatable :: f_rand_pl_w     ! Random Noise node amplitude for theta variable
    real(kind=default_precision), dimension(:), allocatable :: z_rand_pl_w     ! Random Noise node height values for theta variable
 
    logical :: l_rand_pl_theta ! if .true. then random noise added to theta field
    logical :: l_rand_pl_q     ! if .true. then random noise added to q fields
    logical :: l_rand_pl_w     ! if .true. then random noise added to w field
    logical :: l_rand_bit_reproducible ! if .true. then is bit reproducible between runs but domain (memory) size limited
 
    character(len=STRING_LENGTH), dimension(:), allocatable :: names_rand_pl_q ! names of q variables to add random noise to
 
    real(kind=default_precision), allocatable :: f_rand_pl_q_tmp(:) !temporary 1D storage of random noise for q field
    real(kind=default_precision), allocatable :: zgrid(:)  ! z grid to use in interpolation
 
    if (current_state%continuation_run) return
 
    allocate(zgrid(current_state%local_grid%local_domain_end_index(z_index)))
 
    l_rand_pl_theta=options_get_logical(current_state%options_database, "l_rand_pl_theta")
    l_rand_pl_w=options_get_logical(current_state%options_database, "l_rand_pl_w")
    l_rand_pl_q=options_get_logical(current_state%options_database, "l_rand_pl_q")
    l_rand_bit_reproducible=options_get_logical(current_state%options_database, "l_rand_bit_reproducible")
 
    if (l_rand_bit_reproducible) then
      allocate(randarr(current_state%global_grid%size(x_index), current_state%global_grid%size(y_index), &
           current_state%global_grid%size(z_index)))
    else
      iranseed=i_seed+current_state%parallel%my_rank
      call random_seed(put=iranseed)
    end if
 
    if (l_rand_pl_q) then
      allocate(names_rand_pl_q(options_get_array_size(current_state%options_database, "names_rand_pl_q")))
      call options_get_string_array(current_state%options_database, "names_rand_pl_q", names_rand_pl_q)
    end if
 
    if (l_rand_bit_reproducible) iranseed(1:isd)=i_seed
 
    if (l_rand_pl_theta)then
      ! Get random numbers
      if (l_rand_bit_reproducible) call random_seed(get=iranseed)
      if (l_rand_bit_reproducible) call random_number(randarr)
 
      ! Get amplitude profiles
      allocate(z_rand_pl_theta(options_get_array_size(current_state%options_database, "z_rand_pl_theta")), &
           f_rand_pl_theta(options_get_array_size(current_state%options_database, "f_rand_pl_theta")))
      call options_get_real_array(current_state%options_database, "z_rand_pl_theta", z_rand_pl_theta)
      call options_get_real_array(current_state%options_database, "f_rand_pl_theta", f_rand_pl_theta)
      zgrid=current_state%global_grid%configuration%vertical%zn(:)
      call piecewise_linear_1d(z_rand_pl_theta(1:size(z_rand_pl_theta)), f_rand_pl_theta(1:size(f_rand_pl_theta)), zgrid, &
           current_state%global_grid%configuration%vertical%theta_rand)
      do i=current_state%local_grid%local_domain_start_index(x_index), current_state%local_grid%local_domain_end_index(x_index)
        do j=current_state%local_grid%local_domain_start_index(y_index), current_state%local_grid%local_domain_end_index(y_index)
          do k=2, current_state%local_grid%local_domain_end_index(z_index)   
            if (l_rand_bit_reproducible) then
              current_state%th%data(k,j,i) = current_state%th%data(k,j,i) + &
                   current_state%global_grid%configuration%vertical%theta_rand(k) * 2.0 * (randarr( &
                   i-current_state%local_grid%local_domain_start_index(x_index)+current_state%local_grid%start(x_index), &
                   j-current_state%local_grid%local_domain_start_index(y_index)+current_state%local_grid%start(y_index), &
                   k)-0.5)
            else
              call random_number(random_num)
              current_state%th%data(k,j,i) = current_state%th%data(k,j,i) + &
                   current_state%global_grid%configuration%vertical%theta_rand(k) * 2.0 * (random_num-0.5)
            end if
          end do
        end do
      end do
      deallocate(z_rand_pl_theta, f_rand_pl_theta)
    end if
 
    if (l_rand_pl_q)then
      nq_rand=size(names_rand_pl_q)
      allocate(z_rand_pl_q(options_get_array_size(current_state%options_database, "z_rand_pl_q")))
      call options_get_real_array(current_state%options_database, "z_rand_pl_q", z_rand_pl_q)
      nzq=size(z_rand_pl_q)
      zgrid=current_state%global_grid%configuration%vertical%zn(:)
      allocate(f_rand_pl_q_tmp(nq_rand*nzq))
      call options_get_real_array(current_state%options_database, "f_rand_pl_q", f_rand_pl_q_tmp)
      allocate(f_rand_pl_q(nzq, nq_rand))
      f_rand_pl_q(1:nzq, 1:nq_rand)=reshape(f_rand_pl_q_tmp, (/nzq, nq_rand/))
      do n=1,nq_rand
        ! Get random numbers
        if (l_rand_bit_reproducible) call random_seed(get=iranseed)
        if (l_rand_bit_reproducible) call random_number(randarr)
 
        iq=get_q_index(trim(names_rand_pl_q(n)), 'random noise')
        zgrid=current_state%global_grid%configuration%vertical%zn(:)
        call piecewise_linear_1d(z_rand_pl_q(1:size(z_rand_pl_q)), f_rand_pl_q(1:nzq,n), zgrid, &
             current_state%global_grid%configuration%vertical%q_rand(:,iq))
        do i=current_state%local_grid%local_domain_start_index(x_index), current_state%local_grid%local_domain_end_index(x_index)
          do j=current_state%local_grid%local_domain_start_index(y_index), current_state%local_grid%local_domain_end_index(y_index)
            do k=2, current_state%local_grid%local_domain_end_index(z_index)   
              if (l_rand_bit_reproducible) then
                current_state%q(iq)%data(k,j,i) = current_state%q(iq)%data(k,j,i) + &
                     current_state%global_grid%configuration%vertical%q_rand(k,iq) * 2.0 * (randarr( &
                     i-current_state%local_grid%local_domain_start_index(x_index)+current_state%local_grid%start(x_index), &
                     j-current_state%local_grid%local_domain_start_index(y_index)+current_state%local_grid%start(y_index), &
                     k)-0.5)
              else
                call random_number(random_num)
                current_state%q(iq)%data(k,j,i) = current_state%q(iq)%data(k,j,i) + &
                     current_state%global_grid%configuration%vertical%q_rand(k,iq) * 2.0 * (random_num-0.5)
              end if
            end do
          end do
        end do
      end do
      deallocate(z_rand_pl_q, f_rand_pl_q_tmp, f_rand_pl_q, names_rand_pl_q)
    end if
 
    if (l_rand_pl_w)then
      ! Get random numbers
      if (l_rand_bit_reproducible) call random_seed(get=iranseed)
      if (l_rand_bit_reproducible) call random_number(randarr)
 
      ! Get amplitude profiles
      allocate(z_rand_pl_w(options_get_array_size(current_state%options_database, "z_rand_pl_w")), &
           f_rand_pl_w(options_get_array_size(current_state%options_database, "f_rand_pl_w"))) 
      call options_get_real_array(current_state%options_database, "z_rand_pl_w", z_rand_pl_w)
      call options_get_real_array(current_state%options_database, "f_rand_pl_w", f_rand_pl_w)
 
      zgrid=current_state%global_grid%configuration%vertical%zn(:)
      call piecewise_linear_1d(z_rand_pl_w(1:size(z_rand_pl_w)), f_rand_pl_w(1:size(f_rand_pl_w)), zgrid, &
           current_state%global_grid%configuration%vertical%w_rand)
      do i=current_state%local_grid%local_domain_start_index(x_index), current_state%local_grid%local_domain_end_index(x_index)
        do j=current_state%local_grid%local_domain_start_index(y_index), current_state%local_grid%local_domain_end_index(y_index)
          do k=2, current_state%local_grid%local_domain_end_index(z_index) 
            if (l_rand_bit_reproducible) then
              current_state%w%data(k,j,i) = current_state%w%data(k,j,i) + &
                   current_state%global_grid%configuration%vertical%w_rand(k) * (randarr( &
                   i-current_state%local_grid%local_domain_start_index(x_index)+current_state%local_grid%start(x_index), &
                   j-current_state%local_grid%local_domain_start_index(y_index)+current_state%local_grid%start(y_index), &
                   k)-0.5)
            else
              call random_number(random_num)
              current_state%w%data(k,j,i) = current_state%w%data(k,j,i) + &
                   current_state%global_grid%configuration%vertical%w_rand(k) * (random_num-0.5)
            end if
          end do
#ifdef W_ACTIVE
          current_state%w%data(current_state%local_grid%local_domain_end_index(z_index),j,i)=0.0_default_precision
          current_state%w%data(1,j,i)=0.0_default_precision
#endif
          if (current_state%use_viscosity_and_diffusion) then
#ifdef U_ACTIVE
            current_state%u%data(1,j,i)=-current_state%u%data(2,j,i)
#endif
#ifdef V_ACTIVE
            current_state%v%data(1,j,i)=-current_state%v%data(2,j,i)
#endif
          else
#ifdef U_ACTIVE
            current_state%u%data(1,j,i)=current_state%u%data(2,j,i)
#endif
#ifdef V_ACTIVE
            current_state%v%data(1,j,i)=current_state%v%data(2,j,i)
#endif
          end if
        end do
      end do
      deallocate(z_rand_pl_w, f_rand_pl_w)
    end if
    deallocate(zgrid)
    if (l_rand_bit_reproducible) deallocate(randarr)          

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randomnoise_get_descriptor()

type(component_descriptor_type) function, public randomnoise_mod::randomnoise_get_descriptor

Provides the descriptor back to the caller and is used in component registration.

Returns

The termination check component descriptor

Definition at line 25 of file randomnoise.F90.

    randomnoise_get_descriptor%name="randomnoise"
    randomnoise_get_descriptor%version=0.1
    randomnoise_get_descriptor%initialisation=>initialisation_callback

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Variable Documentation

i_seed

integer, parameter randomnoise_mod::i_seed =7

private

Definition at line 18 of file randomnoise.F90.

isd

integer, parameter randomnoise_mod::isd =1

private

Definition at line 18 of file randomnoise.F90.

max_size_seed_array

integer, parameter randomnoise_mod::max_size_seed_array =256

private

Definition at line 18 of file randomnoise.F90.

  integer, parameter :: MAX_SIZE_SEED_ARRAY=256, i_seed=7, isd=1