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MODULE local_subs
USE cmor_users_functions
!!$ PRIVATE
!!$ PUBLIC read_coords, read_time, read_3d_input_files, read_2d_input_files
CONTAINS
SUBROUTINE read_coords(alats, alons, plevs, bnds_lat, bnds_lon, station, st_lons, st_lats)
IMPLICIT NONE
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:) :: alats
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:) :: alons
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:) :: plevs
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:,:) :: bnds_lat
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:,:) :: bnds_lon
INTEGER, INTENT(OUT), DIMENSION(:) :: station
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:) :: st_lats
DOUBLE PRECISION, INTENT(OUT), DIMENSION(:) :: st_lons
INTEGER :: i, j, k
DO i = 1, SIZE(alons)
alons(i) = (i-1)*360./SIZE(alons)
bnds_lon(1,i) = (i - 1.5)*360./SIZE(alons)
bnds_lon(2,i) = (i - 0.5)*360./SIZE(alons)
END DO
DO i = 1, SIZE(alats)
alats(i) = (size(alats)+1-i)*10
bnds_lat(1,i) = (size(alats)+1-i)*10 + 5.
bnds_lat(2,i) = (size(alats)+1-i)*10 - 5.
END DO
DO i = 1, SIZE(plevs)
plevs(i) = i*1.0e4
END DO
plevs = (/100000., 92500., 85000., 70000.,&
60000., 50000., 40000., 30000., 25000., 20000.,&
15000., 10000., 7000., 5000., 3000., 2000., 1000., 500., 100. /)
k = 1
DO i = 1, SIZE(alons)
DO j = 1, SIZE(alats)
station(k) = k
st_lons(k) = alons(i)
st_lats(k) = alats(j)
k = k+1
END DO
END DO
RETURN
END SUBROUTINE read_coords
SUBROUTINE read_time(it, time, time_bnds)
IMPLICIT NONE
INTEGER, INTENT(IN) :: it
DOUBLE PRECISION, INTENT(OUT) :: time
DOUBLE PRECISION, INTENT(OUT), DIMENSION(2,1) :: time_bnds
time = (it-0.5)*30.
time_bnds(1,1) = (it-1)*30.
time_bnds(2,1) = it*30.
RETURN
END SUBROUTINE read_time
include "reader_2D_3D.f90"
END MODULE local_subs
!=======================================================
program testing
use cmor_users_functions
use local_subs
implicit none
integer error_flag
INTEGER, PARAMETER :: ntimes = 2 ! number of time samples to process
INTEGER, PARAMETER :: lon = 4 ! number of longitude grid cells
INTEGER, PARAMETER :: lat = 3 ! number of latitude grid cells
INTEGER, PARAMETER :: lev = 19 ! number of standard pressure levels
INTEGER, PARAMETER :: nst = 12 ! number of stations
INTEGER, PARAMETER :: n2d = 4 ! number of IPCC Table A1a fields to be
! output.
INTEGER, PARAMETER :: n3d = 3 ! number of IPCC Table A1c fields to
! be output.
! My variable names for IPCC Table A1c fields
CHARACTER (LEN=5), DIMENSION(n3d) :: &
varin3d=(/'CLOUD', 'U ', 'T '/)
! Units appropriate to my data
CHARACTER (LEN=6), DIMENSION(n3d) :: &
units3d=(/ '% ', 'm s-1 ', 'K ' /)
! Corresponding IPCC Table A1c entry (variable name)
CHARACTER (LEN=2), DIMENSION(n3d) :: entry3d = (/ 'cl', 'ua', 'ta' /)
! My variable names for IPCC Table A1a fields
CHARACTER (LEN=8), DIMENSION(n2d) :: &
varin2d=(/ 'LATENT ', 'TSURF ', 'SOIL_WET', 'PSURF ' /)
! Units appropriate to my data
CHARACTER (LEN=6), DIMENSION(n2d) :: &
units2d=(/ 'W m-2 ', 'K ', 'kg m-2', 'Pa ' /)
CHARACTER (LEN=4), DIMENSION(n2d) :: &
positive2d= (/ 'down', ' ', ' ', ' ' /)
! Corresponding IPCC Table A1a entry (variable name)
CHARACTER (LEN=5), DIMENSION(n2d) :: &
entry2d = (/ 'hfls ', 'tas ', 'mrsos', 'ps ' /)
INTEGER igrid;
! uninitialized variables used in communicating with CMOR:
! ---------------------------------------------------------
INTEGER :: znondim_id, zfactor_id
INTEGER, DIMENSION(n2d) :: var2d_ids
INTEGER, DIMENSION(n3d) :: var3d_ids
REAL, DIMENSION(lon,lat) :: data2d
real, DIMENSION(lon*lat) :: data1dtest
REAL, DIMENSION(lon,lat,lev) :: data3d
REAL, DIMENSION(lon*lat,lev) :: data2d_st
DOUBLE PRECISION, DIMENSION(lat) :: alats
DOUBLE PRECISION, DIMENSION(lon) :: alons
DOUBLE PRECISION, DIMENSION(lev) :: plevs
INTEGER, DIMENSION(lon*lat) :: station
DOUBLE PRECISION, DIMENSION(lon*lat) :: st_lons
DOUBLE PRECISION, DIMENSION(lon*lat) :: st_lats
DOUBLE PRECISION, DIMENSION(1) :: time
DOUBLE PRECISION, DIMENSION(2,1):: bnds_time
DOUBLE PRECISION, DIMENSION(2,lat) :: bnds_lat
DOUBLE PRECISION, DIMENSION(2,lon) :: bnds_lon
DOUBLE PRECISION, DIMENSION(lev) :: zlevs
DOUBLE PRECISION, DIMENSION(lev+1) :: zlev_bnds
real, DIMENSION(lev) :: a_coeff
DOUBLE PRECISION, DIMENSION(lev) :: b_coeff
DOUBLE PRECISION :: p0,bt
DOUBLE PRECISION :: p0array(1)
real, DIMENSION(lev+1) :: a_coeff_bnds
DOUBLE PRECISION, DIMENSION(lev+1) :: b_coeff_bnds
INTEGER :: ilon, ilat, ipres, ilev, itim, i, ist,itim2
real :: missing
! Other variables:
! ---------------------
INTEGER :: it, m, j,k
bt=0.
j = CMOR_REPLACE
k = CMOR_EXIT_ON_MAJOR
error_flag = cmor_setup(inpath='Test', netcdf_file_action=j,&
exit_control=k)
print*,'Test code: done'
error_flag = cmor_dataset_json("Test/CMOR_input_example.json")
print*, 'Test code: done 2 lalala'
call read_coords(alats, alons, plevs, bnds_lat, bnds_lon, station, st_lons, st_lats)
print*, 'Test code: ok calling axis stuff station'
ist = cmor_axis( &
table='Tables/CMIP6_grids.json', &
table_entry='i_index', &
units=' ', &
length=nst, &
coord_vals=station )
print*, 'Test code: ok calling axis stuff pressure',ist
ipres = cmor_axis( &
table='Tables/CMIP6_Amon.json', &
table_entry='plev19', &
units='Pa', &
length=lev, &
coord_vals=plevs)
! note that the time axis is defined next, but the time coordinate
! values and bounds will be passed to cmor through function
! cmor_write (later, below).
print*, 'Test code: ok calling axis stuff time',ipres
itim = cmor_axis( &
table='Tables/CMIP6_Amon.json', &
table_entry='time', &
units='days since 2030-1-1', &
length=ntimes, &
interval='1 month')
itim2 = cmor_axis( &
table='Tables/CMIP6_Lmon.json', &
table_entry='time', &
units='days since 2030-1-1', &
length=ntimes, &
interval='1 month')
! to make it a station data, we need to define the grid with lon/lat
! information. CMOR will then add the 'longitude' and 'latitude'
! variables as assosiated to the station data.
! You do not set up lon/lat as axis variables for the station data
! note - the first parameter has ot be an array (of dim=1 in this example)
igrid = cmor_load_table("Tables/CMIP6_grids.json")
igrid = cmor_grid((/ist/), st_lats, st_lons)
write(*,'(a, 12f6.1)') 'lons: ',st_lons
write(*,'(a, 12f6.1)') 'lats: ',st_lats
!===============================================================
print*, ' '
! Define variables appearing in IPCC table A1a (2-d variables)
DO m=1,4
print*, 'Test code: var: ',m,entry2d(m)
if (m.eq.3) then
var2d_ids(m) = cmor_variable( &
table='Tables/CMIP6_Lmon.json', &
table_entry=entry2d(m), &
units=units2d(m), &
axis_ids=(/ igrid, itim2 /), &
missing_value=missing, &
positive=positive2d(m), &
original_name=varin2d(m))
else
var2d_ids(m) = cmor_variable( &
table='Tables/CMIP6_Amon.json', &
table_entry=entry2d(m), &
units=units2d(m), &
axis_ids=(/ igrid, itim /), &
missing_value=missing, &
positive=positive2d(m), &
original_name=varin2d(m))
endif
print*, 'Test code: result',var2d_ids(m)
ENDDO
PRINT*, 'Test code: '
PRINT*, 'Test code: completed everything up to writing output fields '
PRINT*, 'Test code: '
time_loop: DO it=1, ntimes
! In the following loops over the 3d and 2d fields, the user-written
! subroutines (read_3d_input_files and read_2d_input_files) retrieve
! the requested IPCC table A1c and table A1a fields and store them in
! data3d and data2d, respectively. In addition a user-written code
! (read_time) retrieves the time and time-bounds associated with the
! time sample (in units of 'days since 1970-1-1', consistent with the
! axis definitions above). The bounds are set to the beginning and
! the end of the month retrieved, indicating the averaging period.
! The user must write a code to obtain the times and time-bounds for
! the time slice. The following line is simply a place-holder for
! the user's code, which should replace it.
call read_time(it, time(1), bnds_time)
!!$
!!$ ! Cycle through the 2-d fields, retrieve the requested variable and
!!$ ! append each to the appropriate netCDF file.
!!$
DO m=1,n2d
! The user must write the code that fills the arrays of data
! that will be passed to CMOR. The following line is simply a
! a place-holder for the user's code, which should replace it.
call read_2d_input_files(it, varin2d(m), data2d)
k = 1
DO j = 1, lat
data1dtest(k:k+lat) = data2d(:,j)
k = k+lat+1
END DO
!write(*,'(a, 12(f8.1,1x))'), entry2d(m), data1dtest
! append a single time sample of data for a single field to
! the appropriate netCDF file.
error_flag = cmor_write( &
var_id = var2d_ids(m), &
data = data1dtest, &
ntimes_passed = 1, &
time_vals = time, &
time_bnds = bnds_time )
IF (error_flag < 0) THEN
! write diagnostic messages to standard output device
write(*,*) 'Test code: Error encountered writing IPCC Table A1a ' &
// 'field ', entry2d(m), ', which I call ', varin2d(m)
write(*,*) 'Test code: Was processing time sample: ', time
END IF
END DO
END DO time_loop
error_flag = cmor_close()
end program testing
|
