Ingest_cm1 is a Fortran module to abstract access to model output files from George Bryan's CM1 cloud model.
The current version of this module supports access to GrADS style files with one output file per timestep or one output file per timestep per MPI node; HDF5 output.
These represent files created by the following options in the CM1 namelist.input file (GRADS, GRADSMPI):
output_format = 1
output_filetpe = 2 or 3
And for HDF data:
output_format = 3, 4, 5
output_filetype = 3
NOTE: Support for the native tiled output is not yet implemented. You must untile the output with the included python script.
Future output format support is expected for NetCDF4 and native MPI tiled HDF output.
Download a current snapshot of ingest_cm1 with:
git clone https://github.com/cwebster2/ingest_cm1.git
A Fortran 2003 compiler is required to build this software. If using GNU gfortran
,
use of version 4.8 or later is required due to the use of allocatable arrays of
polymorphic types. Intel ifort
should work but is untested, as are other fortran compilers.
IngestCM1 uses cmake to generate makefiles and you have a few options when building. The default options are to build a static library without HDF5 support and install into ingest_cm1's directory. To use this default, from the ingest_cm1 directory, do:
cmake .
To enable HDF5 support, use:
cmake . -DWITH_HDF5=1
If your HDF5 library is not found, you can specify a search path with the HDF5_ROOT
environment variable.
HDF5_ROOT="/path/to/hdf5" cmake . -DWITH_HDF5=1
If your HDF5 library is built with cmake support, you can try this instead:
cmake . -DWITH_HDF5_CMAKE
To build a shared library instead of a static library, add the flag -DBUILD_SHARED_LIBS=1
flag to cmake and
to change the installation location, e.g. /usr/local, use -DCMAKE_INSTALL_PREFIX:PATH=/usr/local
. An example
of all of the above is:
HDF5_ROOT="/path/to/hdf5" cmake . -DWITH_HDF5=1 -DBUILD_SHARED_LIBS=1 -DCMAKE_INSTALL_PREFIX:PATH=/usr
which will generate makefiles to build a shared library, install into /usr/lib and /usr/include and include HDF5 support.
To build and install ingest_cm1 do:
make
make install
The cm1_dataset front-end is able to load a dataset with multiple grids spread across multiple files.
This paradigm assumes the output style of CM1 where there are 4 grids each for scalar, u, v, and w
variables. Within each grid the output may be a single file per timestep, a single file for all timesteps
or a file for each MPI rank at each timestep. This is defined by the dsettype
variable below.
The procedures below are all part of the cm1_dataset
derived type in module ingest_cm1
.
integer function open_dataset(self, dsetpath, dsetbasename, dsettype, grids, nodex, nodey)
class(cm1_dataset) :: self
character(len=*), intent(in) :: dsetpath
character(len=*), intent(in) :: dsetbasename
integer, intent(in) :: dsettype
character, dimension(:) :: grids
integer, optional :: nodex, nodey
This opens the dataset located at dsetpath
with basename dsetbasename
.
dsettype
is one of GRADS
, GRADSMPI
, GRADSSINGLE
, or HDF
.
grids
is an array of grids to open, e.g. ['s', 'u', 'v', 'w']
for a full dataset or ['s']
if only the scalar grid is desired.
The variables nodex
and nodey
are only used for the GRADSMPI
dsettype. These are the same values used in the namelist.input for the MPI run.
integer function close_dataset(self)
class(cm1_dataset) :: self
This closes the dataset.
There are three versions of read
that return 2d, 3d and slices of 3d fields.
integer function read(self, time, grid, varname, Field3D)
implicit none
class(cm1_dataset) :: self
integer :: time, gridno
character :: grid
character(len=*) :: varname
real, dimension(:,:,:) :: Field3D
This function returns the 3d variable Field3D
for the variable varname
on grid grid
at time time
. It returns 1 on success and 0 on failure.
integer function read(self, time, grid, varname, Field3D, ib, ie, jb, je, kb, ke)
implicit none
class(cm1_dataset) :: self
integer :: time, gridno, ib, ie, jb, je, kb, ke
character :: grid
character(len=*) :: varname
real, dimension(:,:,:) :: Field3D
This function works just as read_3d
but returns a slice of the full variable. If the full 3D variable is FullField3D
, then this returns Field3D = FullField3D(ib:ie, jb:je, kb:ke)
. Returns 1 on sucess and 0 on failure.
integer function read(self, time, grid, varname, Field2D)
implicit none
class(cm1_dataset) :: self
integer :: time, gridno
character :: grid
character(len=*) :: varname
real, dimension(:,:) :: Field2D
This function returns the 2d variable Field2D
for the variable varname
on grid grid
at time time
. It returns 1 on success and 0 on failure.
integer function get_nx(self, grid)
implicit none
class(cm1_dataset) :: self
character :: grid
These get dimensions of the specified grid grid
.
function get_x(self, grid, cm1err) result(x)
implicit none
class(cm1_dataset) :: self
character :: grid
integer :: gridno
logical, optional :: cm1err
real, dimension(:), allocatable :: x
These get the mesh of grid grid
along the specified dimension
use ingest_cm1
implicit none
type(cm1_dataset) :: cm1
integer :: status, nx, ny, nz
real, allocatable :: theta(:,:,:)
! this opens a GRADS dataset with variables at u, v, w and s points.
status = cm1%open_dataset('/path/to/dataset', 'cm1out', GRADS, ['s','u','v','w'])
! get array dimensions for the s grid
nx = cm1%get_nx('s')
ny = cm1%get_ny('s')
nz = cm1%get_nz('s')
! get a variable theta on grid 's' at time 900
allocate(theta(nx,ny,nz)
status = cm1%read_3d(900, 's', 'th', theta)
! do stuff here
status = cm1%close_dataset()
You may also use the backend classes directly. These all derive from type cm1_base
and each
implements a specific file backend. The interface is similar to that of ingest_cm1
. See the
derived type and the base type for details.
The easiest way to contribute is to fork the repository on github and submit pull requests. I'm open to all contributions from bugfixes to enhacements specific to your workflow use-case. Contributed code is licensed under the BSD license and you will attributed.
Contributors as of 26 Oct 2015
- Casey Webster (cwebster2)
Copyright (c) 2015, Casey Webster All rights reserved.
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