da_get_innov_vector_ssmt2.inc

References to this file elsewhere.
1 subroutine da_get_innov_vector_ssmt2( it, xb, xp, ob, iv)
2 
3    !-----------------------------------------------------------------------
4    ! Purpose: TBD
5    !-----------------------------------------------------------------------
6 
7    implicit none
8 
9    integer, intent(in)            :: it       ! External iteration.
10    type(xb_type), intent(in)     :: xb       ! first guess state.
11    type(xpose_type), intent(in)  :: xp       ! Domain decomposition vars.
12    type(y_type),  intent(inout)  :: ob       ! Observation structure.
13    type(ob_type), intent(inout)  :: iv       ! O-B structure.
14 
15    integer                        :: n        ! Loop counter.
16    integer                        :: i, j, k  ! Index dimension.
17    integer                        :: num_levs ! Number of obs levels.
18    real                           :: dx, dxm  ! Interpolation weights.
19    real                           :: dy, dym  ! Interpolation weights.
20    real, dimension(1:max_ob_levels):: model_rh ! Model value rh at ob location.
21 
22    real                            :: zk       ! Interpolation vertical coordinator.
23 
24    real, dimension(xp%kms:xp%kme)  :: v_h      ! Model value h at ob hor. location.
25    real, dimension(xp%kms:xp%kme)  :: v_p      ! Model value p at ob hor. location.
26 
27    integer                         :: irh, irhf
28 
29    if (iv % num_ssmt2 > 0) then
30       irh = 0 ; irhf = 0
31       do n=1, iv % num_ssmt2
32          num_levs = iv % ssmt2(n) % info % levels
33 
34          if (num_levs < 1) cycle
35 
36          model_rh(:) = 0.0
37 
38          ! [1.1] Get horizontal interpolation weights:
39 
40          i = iv%ssmt2(n)%loc%i
41          j = iv%ssmt2(n)%loc%j
42          dx = iv%ssmt2(n)%loc%dx
43          dy = iv%ssmt2(n)%loc%dy
44          dxm = iv%ssmt2(n)%loc%dxm
45          dym = iv%ssmt2(n)%loc%dym
46 
47          do k=xp%kts,xp%kte
48             v_h(k) = dym*(dxm*xb%h(i,j  ,k) + dx*xb%h(i+1,j  ,k)) &
49                    + dy *(dxm*xb%h(i,j+1,k) + dx*xb%h(i+1,j+1,k))
50             v_p(k) = dym*(dxm*xb%p(i,j  ,k) + dx*xb%p(i+1,j  ,k)) &
51                    + dy *(dxm*xb%p(i,j+1,k) + dx*xb%p(i+1,j+1,k))
52          end do
53 
54          num_levs=0
55          do k=1, iv % ssmt2(n) % info % levels
56 
57             zk=missing_r
58 
59             if (iv % ssmt2(n) % h(k) > 0.0) then
60                call da_to_zk(iv % ssmt2(n) % h(k), v_h, xp, v_interp_h, zk)
61             else if (iv % ssmt2(n) % p(k) > 1.0) then
62                call da_to_zk(iv % ssmt2(n) % p(k), v_p, xp, v_interp_p, zk)
63             end if
64 
65             if (zk > 0.0) then
66                num_levs=num_levs+1
67                iv%ssmt2(n)%zk(num_levs)=zk
68 
69                ob % ssmt2(n) % rh(num_levs) = ob % ssmt2(n) % rh(k)
70 
71                iv % ssmt2(n) % rh(num_levs) % qc = iv % ssmt2(n) % rh(k) % qc
72 
73                iv % ssmt2(n) % rh(num_levs) % error = iv % ssmt2(n) % rh(k) % error
74             end if
75          end do
76 
77          iv % ssmt2(n) % info % levels = num_levs
78  
79          ! [1.2] Interpolate horizontally to ob:
80 
81          call da_interp_lin_3d( xb % rh, xp, i, j, dx, dy, dxm, dym, &
82                              model_rh, max_ob_levels, iv%ssmt2(n)%zk, num_levs)
83 
84          !--------------------------------------------------------------------
85          ! [2.0] Initialise components of innovation vector:
86          !--------------------------------------------------------------------
87 
88          do k = 1, iv % ssmt2(n) % info % levels
89 
90             iv % ssmt2(n) % rh(k) % inv = 0.0
91 
92             !-----------------------------------------------------------------
93             ! [3.0] Interpolation:
94             !-----------------------------------------------------------------
95 
96             if (ob % ssmt2(n) % rh(k) > missing_r .AND. &
97                iv % ssmt2(n) % rh(k) % qc >= obs_qc_pointer) then
98 
99                iv % ssmt2(n) % rh(k) % inv = ob % ssmt2(n) % rh(k) - &
100                                             model_rh(k)
101             end if
102             
103             ! write(122,'(2i4,i8,5f15.5)')n, k, iv%ssmt2(n)%height_qc(k), &
104             ! iv%ssmt2(n)%info%lat, iv%ssmt2(n)%info%lon, &
105             ! iv%ssmt2(n)%h(k), &
106             ! ob % ssmt2(n) % rh(k), model_rh(k)
107 
108          end do
109 
110          !------------------------------------------------------------------------
111          ! [5.0] Perform optional maximum error check:
112          !------------------------------------------------------------------------
113 
114          if (check_max_iv) call da_check_max_iv_ssmt2(it, iv % ssmt2(n), irh,irhf)
115       end do
116 
117       if (rootproc .and. check_max_iv_print) then
118          write(unit = check_max_iv_unit, fmt ='(A,i5,A)')    &
119             'For outer iteration ',it,' Total Rejections for SSMI(T2) follows:'
120          write(unit = check_max_iv_unit, fmt = '(/,2(2(A,I6),/))') &
121             'Number of failed RH(T2) observations:    ',irhf, ' on ',irh
122       end if
123    end if
124 
125 end subroutine da_get_innov_vector_ssmt2
126 
127