da_transform_xtoy_qscat.inc

1 subroutine da_transform_xtoy_qscat(xa, iv, xp, y)
2 
3    !-----------------------------------------------------------------------
4    ! Purpose: TBD
5    !-----------------------------------------------------------------------
6 
7    implicit none
8 
9    type (x_type),  intent(in)   :: xa       ! gridded analysis increment.
10    type (ob_type), intent(in)   :: iv       ! Innovation vector (O-B).
11    type (xpose_type), intent(in):: xp       ! Domain decomposition vars.
12    type (y_type), intent(inout) :: y        ! y = h (xa) (linear)
13 
14    integer                      :: n        ! Loop counter.
15    integer                      :: i, j     ! Index dimension.
16    real                         :: dx, dxm  ! 
17    real                         :: dy, dym  !
18    
19    if (iv%num_qscat > 0) then
20       !xyh y%qscat(:)%u = 0.0
21       !xyh y%qscat(:)%v = 0.0
22 
23       do n=iv%ob_numb(iv%current_ob_time-1)%qscat + 1, iv%ob_numb(iv%current_ob_time)%qscat
24          ! [1.1] Get horizontal interpolation weights:
25 
26          i = iv%qscat(n)%loc%i
27          dy = iv%qscat(n)%loc%dy
28          dym = iv%qscat(n)%loc%dym
29          j = iv%qscat(n)%loc%j
30          dx = iv%qscat(n)%loc%dx
31          dxm = iv%qscat(n)%loc%dxm
32 
33          ! [1.2] Interpolate horizontally:
34          call da_interp_obs_lin_2d(xa % u, xp, i, j, dx, dy, dxm, dym, &
35                                 y%qscat(n)%u, iv%qscat(n)%zk)
36          call da_interp_obs_lin_2d(xa % v, xp, i, j, dx, dy, dxm, dym, &
37                                 y%qscat(n)%v, iv%qscat(n)%zk)
38       end do
39    end if
40 
41 end subroutine da_transform_xtoy_qscat
42 
43