da_residual_polaramv.inc

1 subroutine da_residual_polaramv(iv, y, re,np_missing, np_bad_data,np_obs_used, np_available)
2 
3    !-------------------------------------------------------------------------
4    ! Purpose: TBD
5    !-------------------------------------------------------------------------
6 
7    implicit none
8 
9    type (iv_type), intent(in)    :: iv     ! Innovation vector (O-B).
10    type (y_type) , intent(in)    :: y      ! y = H (xa)
11    type (y_type) , intent(inout) :: re     ! Residual vector (O-A).
12 
13    integer       , intent(inout) :: np_available
14    integer       , intent(inout) :: np_obs_used
15    integer       , intent(inout) :: np_missing
16    integer       , intent(inout) :: np_bad_data
17 
18    type (bad_data_type) :: n_obs_bad
19    integer              :: n, k
20 
21    if (trace_use_dull) call da_trace_entry("da_residual_polaramv")
22 
23    n_obs_bad % u % num = number_type(0, 0, 0)
24    n_obs_bad % v % num = number_type(0, 0, 0)
25 
26    do n=1, iv%info(polaramv)%nlocal
27       do k=1, iv%info(polaramv)%levels(n)
28          np_available = np_available + 2
29          re%polaramv(n)%u(k) = da_residual(n, 0, y%polaramv(n)%u(k), iv%polaramv(n)%u(k), n_obs_bad % u)
30          re%polaramv(n)%v (k)= da_residual(n, 0, y%polaramv(n)%v(k), iv%polaramv(n)%v(k), n_obs_bad % v)            
31      end do
32    end do
33 
34    np_missing  = np_missing  + n_obs_bad % u % num % miss + n_obs_bad % v % num % miss
35    np_bad_data = np_bad_data + n_obs_bad % u % num % bad + n_obs_bad % v % num % bad
36    np_obs_used = np_obs_used + n_obs_bad % u % num % use + n_obs_bad % v % num % use
37 
38    if (trace_use_dull) call da_trace_exit("da_residual_polaramv")
39 
40 end subroutine da_residual_polaramv
41 
42