da_transform_xtoy_profiler.inc

1 subroutine da_transform_xtoy_profiler (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, k  ! Index dimension.
16    real                         :: dx, dxm  ! 
17    real                         :: dy, dym  !
18    
19    if (iv%num_profiler > 0) then
20       do n=iv%ob_numb(iv%current_ob_time-1)%profiler + 1, &
21          iv%ob_numb(iv%current_ob_time)%profiler
22          ! xyh
23          ! y%profiler(n)%u(:) = 0.0
24          ! y%profiler(n)%v(:) = 0.0
25 
26          k = iv % profiler(n) % info % levels
27  
28          if (k < 1) cycle
29 
30          ! [1.3] Get horizontal interpolation weights:
31 
32          i = iv%profiler(n)%loc%i
33          dy = iv%profiler(n)%loc%dy
34          dym = iv%profiler(n)%loc%dym
35          j = iv%profiler(n)%loc%j
36          dx = iv%profiler(n)%loc%dx
37          dxm = iv%profiler(n)%loc%dxm
38 
39          ! [1.4] Interpolate horizontally:
40          call da_interp_lin_3d(xa % u, xp, i, j, dx, dy, dxm, dym, &
41                             y%profiler(n)%u, k, iv%profiler(n)%zk, k)
42          call da_interp_lin_3d(xa % v, xp, i, j, dx, dy, dxm, dym, &
43                             y%profiler(n)%v, k, iv%profiler(n)%zk, k)
44       end do
45    end if
46 
47 end subroutine da_transform_xtoy_profiler 
48 
49