da_transform_xtoy_pilot.inc

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