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!!$pgf90 -I/work/NetCDF/5.1/include -L/work/NetCDF/5.1/lib -l netcdf -L. -l cmor Test/test1.f90 -IModules -o cmor_test
!!$pgf90 -g -I/pcmdi/charles_work/NetCDF//include -L/pcmdi/charles_work/NetCDF//lib -lnetcdf -module Modules -IModules -L. -lcmor Test/test1.f90 -o cmor_test
MODULE local_subs
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)
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 :: i, irev, ioff
DO i = 1, SIZE(alons)
irev = SIZE(alons)+1-i
ioff = irev +2
if (ioff>SIZE(alons)) ioff = ioff - SIZE(alons)
alons(ioff) = (i-1)*360./SIZE(alons)
bnds_lon(1,ioff) = (i - 1.5)*360./SIZE(alons)
bnds_lon(2,ioff) = (i - 0.5)*360./SIZE(alons)
END DO
DO i = 1, SIZE(alats)
alats(i) = i*10
bnds_lat(1,i) = i*10. - 5.
bnds_lat(2,i) = 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. /)
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) :: time_bnds
time = (it-0.5)*30.
time_bnds(1) = (it-1)*30.
time_bnds(2) = it*30.
RETURN
END SUBROUTINE read_time
INCLUDE "reader_2D_3D.f90"
END MODULE local_subs
PROGRAM mip_contribution
!
! Purpose: To serve as a generic example of an application that
! uses the "Climate Model Output Rewriter" (CMOR)
! CMOR writes CF-compliant netCDF files.
! Its use is required by many community-coordinated standard
! climate model experiments (e.g., AMIP, CMIP, CFMIP, APE, and
! IPCC scenario runs)
!
! Background information for this sample code:
!
! Standard output requested by AMIP is listed in 6 different
! tables. This sample code processes only 2 variables listed in AMIP
! Table 1a ("3-d" fields, containing monthly mean data that are a
! function of longitude, latitude, pressure and time) and only 3
! variables in AMIP Table 2 ("2-d" fields, containing monthly mean
! data that are a function of longitude, latitude, and time). The
! extension to many more fields is trivial.
!
! For this example, the user must fill in the sections of code that
! extract the 3-d and 2-d fields from his monthly mean "history"
! files (which usually contain many variables but only a single time
! slice). The CMOR code will write each field in a separate file, but
! many monthly mean time-samples will be stored together. These
! constraints partially determine the structure of the code.
!
! Record of revisions:
! Date Programmer(s) Description of change
! ==== ========== =====================
! 10/22/03 Rusty Koder Original code
! 1/28/04 Les R. Koder Revised to be consistent
! with evolving code design
! include module that contains the user-accessible cmor functions.
USE cmor_users_functions
USE local_subs
IMPLICIT NONE
! dimension parameters:
! ---------------------------------
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 :: n2d = 3 ! number of AMIP Table 2 fields to be
! output.
INTEGER, PARAMETER :: n3d = 2 ! number of AMIP Table 1a fields to
! be output.
! Tables associating the user's variables with AMIP standard output
! variables. The user may choose to make this association in a
! different way (e.g., by defining values of pointers that allow him
! to directly retrieve data from a data record containing many
! different variables), but in some way the user will need to map his
! model output onto the Tables specifying the MIP standard output.
! ----------------------------------
! My variable names for Table 1a fields
CHARACTER (LEN=2), DIMENSION(n3d) :: varin3d=(/ 'U', 'T'/)
! Units appropriate to my data
CHARACTER (LEN=5), DIMENSION(n3d) :: &
units3d=(/ 'm s-1', 'K ' /)
CHARACTER (LEN=4), DIMENSION(n3d) :: &
positive3d= (/ ' ', ' ' /)
! Corresponding AMIP Table 1a entry (variable name)
CHARACTER (LEN=2), DIMENSION(n3d) :: entry3d = (/ 'ua', 'ta' /)
! My variable names for Table 2 fields
CHARACTER (LEN=8), DIMENSION(n2d) :: &
varin2d=(/ 'LATENT ', 'TSURF ', 'SOIL_WET' /)
! Units appropriate to my data
CHARACTER (LEN=6), DIMENSION(n2d) :: &
units2d=(/ 'W m-2 ', 'K ', 'kg m-2' /)
CHARACTER (LEN=4), DIMENSION(n2d) :: &
positive2d= (/ 'down', ' ', ' ' /)
! Corresponding AMIP Table 2 entry (variable name)
CHARACTER (LEN=5), DIMENSION(n2d) :: &
entry2d = (/ 'hfls ', 'tas ', 'mrsos' /)
! uninitialized variables used in communicating with CMOR:
! ---------------------------------------------------------
INTEGER :: error_flag
INTEGER, DIMENSION(3) :: axis2d_ids
INTEGER, DIMENSION(3) :: axis2d_ids2
INTEGER, DIMENSION(4) :: axis3d_ids
INTEGER, DIMENSION(n2d) :: var2d_ids
INTEGER, DIMENSION(n3d) :: var3d_ids
REAL, DIMENSION(lat,lon) :: data2d
REAL, DIMENSION(lev,lon,lat) :: data3d
DOUBLE PRECISION, DIMENSION(lat) :: alats
DOUBLE PRECISION, DIMENSION(lon) :: alons
DOUBLE PRECISION, DIMENSION(lev) :: plevs
DOUBLE PRECISION :: time,bt
DOUBLE PRECISION, DIMENSION(2):: bnds_time
DOUBLE PRECISION, DIMENSION(2,lat) :: bnds_lat
DOUBLE PRECISION, DIMENSION(2,lon) :: bnds_lon
!!$ REAL, DIMENSION(lat*lon*lev) :: tmp3d
!!$ REAL, DIMENSION(lat*lon) :: tmp2d
! Other variables:
! ---------------------
INTEGER :: it, m
bt=0.
! ================================
! Execution begins here:
! ================================
! Read coordinate information from model into arrays that will be passed
! to CMOR.
! Read latitude, longitude, and pressure coordinate values into
! alats, alons, and plevs, respectively. Also generate latitude and
! longitude bounds, and store in bnds_lat and bnds_lon, respectively.
! The user must write the subroutine that fills the coordinate arrays
! and their bounds with actual data. The following line is simply a
! a place-holder for the user's code, which should replace it.
! *** possible user-written call ***
print*, 'calling read_coords '
call read_coords(alats, alons, plevs, bnds_lat, bnds_lon)
print*, 'returned from read_coords'
! Specify path where tables can be found, indicate that existing netCDF
! files should not be overwritten, and instruct CMOR to error exit on
! encountering errors of any severity.
error_flag = cmor_setup(inpath='Test', &
netcdf_file_action='replace', &
set_verbosity=1, &
exit_control=1)
! Define dataset as output from the GICC model (first member of an
! ensemble of simulations) runcmor_write under IPCC 2xCO2 equilibrium experiment
! conditions, and provide information to be included as attributes in
! all CF-netCDF files written as part of this dataset.
print*, 'calling cmor_dataset_json'
error_flag = cmor_dataset_json("Test/CMOR_input_example.json");
print*, 'returned from cmor_dataset_json'
! Define axes for 3-d fields
print*, 'defining 3-d axes'
axis2d_ids2(1) = cmor_axis( &
table='Tables/CMIP6_Lmon.json', &
table_entry='latitude', &
units='degrees_north', &
length=lat, &
coord_vals=alats, &
cell_bounds=bnds_lat)
axis2d_ids2(2) = cmor_axis( &
table='Tables/CMIP6_Lmon.json', &
table_entry='longitude', &
length=lon, &
units='degrees_east', &
coord_vals=alons, &
cell_bounds=bnds_lon)
axis2d_ids2(3) = cmor_axis( &
table='Tables/CMIP6_Lmon.json', &
table_entry='time', &
units='days since 1979-1-1', &
length=ntimes, &
interval='1 month')
axis3d_ids(3) = cmor_axis( &
table='Tables/CMIP6_Amon.json', &
table_entry='latitude', &
units='degrees_north', &
length=lat, &
coord_vals=alats, &
cell_bounds=bnds_lat)
axis3d_ids(2) = cmor_axis( &
table='Tables/CMIP6_Amon.json', &
table_entry='longitude', &
length=lon, &
units='degrees_east', &
coord_vals=alons, &
cell_bounds=bnds_lon)
axis3d_ids(1) = 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 (below).
print*, 'before time '
axis3d_ids(4) = cmor_axis( &
table='Tables/CMIP6_Amon.json', &
table_entry='time', &
units='days since 1979-1-1', &
length=ntimes, &
interval='30 days')
print*, 'finished defining 3-d axes'
! Define axes for 2-d fields
print*, 'defining 2-d axes'
axis2d_ids(1) = axis3d_ids(3)
axis2d_ids(2) = axis3d_ids(2)
axis2d_ids(3) = axis3d_ids(4)
print*, 'finished defining 2-d axes'
! Define variables found in AMIP table 1a (3-d variables)
DO m=1,n3d
var3d_ids(m) = cmor_variable( &
table='Tables/CMIP6_Amon.json', &
table_entry=entry3d(m), &
units=units3d(m), &
axis_ids=axis3d_ids, &
missing_value=1.0e20, &
positive=positive3d(m), &
original_name=varin3d(m))
ENDDO
! Define variables found in AMIP table 2a (2-d variables)
DO m=1,n2d
if (m.eq.3) then
var2d_ids(m) = cmor_variable( &
table='Tables/CMIP6_Lmon.json', &
table_entry=entry2d(m), &
!!$ file_suffix='1979-2001', &
units=units2d(m), &
axis_ids=axis2d_ids2, &
missing_value=1.0e20, &
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=axis2d_ids, &
missing_value=1.0e20, &
positive=positive2d(m), &
original_name=varin2d(m))
endif
ENDDO
print*, 'completed everything up to writing output fields '
! Loop through history files (each containing several different fields,
! but only a single month of data, averaged over the month). Then
! extract fields of interest and write these to netCDF files (with
! one field per file, but all months included in the loop).
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 AMIP table 1a and table 2 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, bnds_time)
! Cycle through the 3-d fields, retrieve the requested variable and
! append each to the appropriate netCDF file.
DO m=1,n3d
! 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_3d_input_files(it, varin3d(m), data3d)
! append a single time sample of data for a single field to
! the appropriate netCDF file.
error_flag = cmor_write(var_id = var3d_ids(m), &
data = RESHAPE(data3d, (/ lat*lon*lev /)), &
ntimes_passed = 1, &
time_vals = (/ time /), &
time_bnds = RESHAPE(bnds_time, (/ 2,1 /)))
print*, 'after writing variable, ', var3d_ids(m)
print*, ' error flag = ', error_flag
IF (error_flag < 0) THEN
! write diagnostic messages to standard output device
write(*,*) ' Error encountered writing AMIP Table 1a ' &
// 'field ', entry3d(m), ', which I call ', varin3d(m)
write(*,*) ' Was processing time sample: ', time
!!$ error_flag = cmor_error_trace(device=0)
END IF
END DO
! 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)
! 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 = RESHAPE(data2d, (/ lat*lon /)), &
ntimes_passed = 1, &
time_vals = (/ time /), &
time_bnds = RESHAPE(bnds_time, (/ 2,1 /)))
print*, 'after writing variable, ', var2d_ids(m)
print*, ' error flag = ', error_flag
IF (error_flag < 0) THEN
! write diagnostic messages to standard output device
write(*,*) ' Error encountered writing AMIP Table 2 ' &
// 'field ', entry2d(m), ', which I call ', varin2d(m)
write(*,*) ' Was processing time sample: ', time
!!$ error_flag = cmor_error_trace(device=0)
END IF
END DO
END DO time_loop
! Close all files opened by CMOR.
error_flag = cmor_close()
print*, '******************************'
print*, ' '
print*, 'CMOR COMPLETED SUCCESSFULLY '
print*, ' '
print*, '******************************'
END PROGRAM mip_contribution
|
