Skip to main content

No project description provided

Project description

Energy balance and firn model (EBFM)

PyPI version License

This repository provides a Python implementation of an energy balance and firn model (EBFM).

Using YAC, this model can be coupled to other models.

Basic installation

Create virtual environment

You can use an arbitrary location to create your virtual environment. A common choice is .venv. In the following, we will use $VENV as a placeholder and the path to the virtual environment .venv should be set as follows:

export VENV=/path/to/your/environment/.venv

If you do not already have a virtual environment, you can create one using the following commands, which will additionally install the necessary dependencies specified in pyproject.toml:

python3 -m venv $VENV
source $VENV/bin/activate

Check if your virtual environment is activated. You should see the name within parentheses just before your command prompt, in this case it should say (.venv).

If you want to know more about virtual environments, please refer to the Python documentation.
If you intend to develop EBFM, please take a look at the developer notes further down in the README.

Install EBFM

You can then install EBFM directly into you virtual environment by running the following command:

pip3 install EBFM

This will install the basic version of EBFM without coupling.

Checking your installation

Please check your installation by running ebfm --help to print the help message and ebfm --version to print the installed version.

Installation with coupling features

Before installing EBFM with coupling features, you must install YAC with the Python bindings. Similar to the instructions above, we will use a virtual environment to install all required dependencies. During YAC’s configuration step, set the installation prefix to your virtual environment and enable Python bindings (--prefix=$VENV --enable-python-bindings). Make sure to do this after creating your virtual environment.

The procedure should look similar to below:

python3 -m venv $VENV
# configure and install YAC with --prefix=$VENV and --enable-python-bindings
source $VENV/bin/activate
pip3 install EBFM[cpl]

Adding [cpl] will make sure that additional dependencies needed for coupling, such as yac, are present in your virtual environment.

If you see any errors during the process, please make sure that your virtual environment is activated. If this is the case, you should see the name within parentheses just before your command prompt, in this case it should say (.venv).

If during the installation of EBFM it appears that yac is missing, please double-check with pip3 freeze that the package has been installed properly. For detailed instructions on how to install YAC properly and guidance for troubleshooting, see the YAC documentation on Python bindings.

Running EBFM

After installation, a basic, uncoupled simulation can be run with the following command, provided you cloned this repository:

ebfm --matlab-mesh examples/dem_and_mask.mat

Mesh data

The arguments --matlab-mesh, --elmer-mesh, and --netcdf-mesh allow to provide different kinds of mesh data. EBFM supports the following formats:

  • MATLAB Mesh: An example is given in examples/dem_and_mask.mat. This mesh file provides x-y coordinates and elevation data. Please use the argument --matlab-mesh /path/to/your/mesh.mat.

    Usage example:

    ebfm --matlab-mesh examples/dem_and_mask.mat
    
  • Elmer Mesh: An Elmer mesh file with x-y coordinates of mesh points and elevation data stored in the z-component. Please use the argument --elmer-mesh /path/to/your/elmer/MESH.

    Usage example:

    ebfm --elmer-mesh examples/DEM
    
  • Elmer Mesh with Elevation data from NetCDF: The Elmer mesh file provides x-y coordinate. An additioal NetCDF file is given to provide elevation data for these x-y coordinates. Please use the arguments --elmer-mesh /path/to/your/elmer/MESH and --netcdf-mesh /path/to/your/elevation.nc

    Usage example:

    ebfm --elmer-mesh examples/MESH --netcdf-mesh examples/BedMachineGreenland-v5.nc
    

Note that an Elmer mesh must be provided in a directory following the structure:

path/to/your/elmer/MESH/
├── mesh.boundary
├── mesh.elements
├── mesh.header
└── mesh.nodes

The option --is-partitioned-elmer-mesh will tell EBFM that the provided Elmer mesh is a partitioned mesh. A partitioned mesh file follows the structure:

path/to/your/elmer/MESH
    ├── mesh.boundary
    ├── mesh.elements
    ├── mesh.header
    ├── mesh.nodes
    └── partitioning.128
        ├── part.1.boundary
        ├── part.1.elements
        ├── part.1.header
        ├── part.1.nodes
        ...
        ├── part.128.boundary
        ├── part.128.elements
        ├── part.128.header
        └── part.128.nodes

Usage example for partitioned mesh:

ebfm --elmer-mesh examples/MESH/partitioning.128/ --netcdf-mesh examples/BedMachineGreenland-v5.nc --is-partitioned-elmer-mesh --use-part 42

Getting the example data

The example inputs and datasets referenced above (e.g. BedMachineGreenland-v5.nc or MESH) can be obtained from the TerraDT testcase repository. Please note that access to this repository may need to be requested, and you must have access to the Levante supercomputer at DKRZ.

Once available, you can either copy or symlink the required files into the examples/ directory of this repository, or point EBFM to their locations using the CLI arguments shown above.

Using reader.py to prepare an Elmer mesh with elevation data

The helper script reader.py can be used to combine an existing Elmer mesh with a DEM NetCDF file by replacing the z‑coordinates in mesh.nodes ahead of time. This can be useful if you want to preprocess a mesh once and reuse it for multiple EBFM runs.

Assuming the example data has been copied into the examples/ directory as described above, you can run the following command from the repository root:

python3 src/ebfm/reader.py examples/MESH examples/BedMachineGreenland-v5.nc --outpath examples/MESH_with_DEM

This will write the updated mesh to a new directory. The path examples/MESH_with_DEM should not already exist. The original examples/MESH directory is copied and left unchanged.

Alternatively, you can modify the mesh directly in place, which overwrites mesh.nodes:

python3 src/ebfm/reader.py examples/MESH examples/BedMachineGreenland-v5.nc --in-place

The resulting mesh can then be used directly with EBFM similar to the example with the MATLAB file from above:

ebfm --elmer-mesh examples/MESH_with_DEM

Coupled simulation

The EBFM code allows coupling to other simulation codes. The following arguments allow to configure the coupling:

ebfm ...
  --couple-to-elmer-ice
  --couple-to-icon-atmo
  --coupler-config /path/to/coupling/config.yaml

Note that the coupling uses the Python bindings of YAC. Additionally, EBFM must be run in a MPMD (multiple process multiple data) run. Follow the install instructions from above and run the example command for a coupled simulation with Elmer/Ice and ICON:

mpirun -np 1 ebfm \
  --elmer-mesh $MESHES/MESH/partitioning.128/ \
  --netcdf-mesh $DATA/BedMachineGreenland-v5.nc \
  --is-partitioned-elmer-mesh --use-part 1 \
  --coupler-config $CPL_CONFIG --couple-to-elmer --couple-to-icon \
  : \
  -np 1 $ELMER_ROOT/src/elmer_dummy_f.x $MESHES/MESH/partitioning.128 1 $CPL_CONFIG \
  : \
  -np 1 $ICON_ROOT/src/icon_dummy.x $MESHES/icon_grid_0054_R02B08_G.nc $DATA/mbe3064_atm_elmer_monmean_1979.nc $DATA/varlist_elmerfile

Be aware that the command above requires setting a few environment variables. Assuming your project is structured following this repository, the following settings should help getting started:

export EBFM_DUMMY_REPO=/path/to/TerraDT/ebfm_dummy
export EBFM_REPO=/path/to/this/repo

export CPL_CONFIG=$EBFM_DUMMY_REPO/config/coupling.yaml
export MESHES=$EBFM_DUMMY_REPO/mesh
export DATA=$EBFM_DUMMY_REPO/data

export EBFM_ROOT=$EBFM_REPO
export ELMER_ROOT=$EBFM_DUMMY_REPO/dummies/ELMER
export ICON_ROOT=$EBFM_DUMMY_REPO/dummies/ICON

Depending on the binaries that you want to use $ELMER_ROOT and/or $ICON_ROOT may be set to point to the non-dummy versions of the codes.

Troubleshooting

libnetcdf.so not found at runtime

Problem: ./icon_dummy.x: error while loading shared libraries: libnetcdf.so.15: cannot open shared object file: No such file or directory Solution: Try rebuilding icon_dummy.x `

libyaxt_c.so not found at runtime

Problem: ./icon_dummy.x: error while loading shared libraries: libyaxt_c.so.1: cannot open shared object file: No such file or directory

Solution: `export LD_LIBRARY_PATH='$YAXT_INSTALL_DIR/lib/'

#include <proj.h> not found when building the Elmer dummy

Problem:

...
elmer_grid.c:11:10: fatal error: proj.h: No such file or directory
   11 | #include <proj.h>
      |          ^~~~
compilation terminated.
make: *** [Makefile:48: elmer_grid.o] Error 1

Solution: sudo apt-get install libproj-dev

Developer notes

Optional dependencies [dev]

Please install the package with the optional dependencies [dev] if you are developing (this will automatically install pre-commit).

To concatenate multiple optional dependencies, please run

pip3 install EBFM[dev,cpl]

pre-commit

This project uses pre-commit hooks for some tasks described in detail below. To setup pre-commit please do the following:

pipx install pre-commit
pre-commit install

Alternative: If you are already working in an virtual environment, you can also use pip3 install pre-commit instead of pipx. Refer to the documentation of pipx for further information.

As soon as pre-commit is set up, you will not be able to commit if any of the checks fails. With the help of the logging output it should usually be possible to fix the problem.

Note: You can bypass this check with --no-verify. Please note that the CI will also run pre-commit and fail if there are problems in any of the checks. Therefore, it is recommended to use the pre-commit hooks locally before pushing code to this repository and only bypass them if there is a good reason.

Troubleshooting: The pre-commit hooks require Python >= 3.10. If your Python version is older you will see an error similar to the following

ERROR: Package 'black' required a different Python: 3.9.9 not in `>=3.10`

Please update your Python in this case. Alternatively, you can also set up an independent virtual environment just for running the pre-commit hooks or skip the checks with --no-verify.

Copyright and licensing

This project uses REUSE to track information regarding copyright and licensing. Therefore, all files in this repository are required to provide the corresponding information. Please refer to the documentation of REUSE for details.

You can use pre-commit to automatically check if all files in the repository provide the necessary information:

pre-commit run reuse --all-files

Code formatting

Automated checks for PEP8 compiance are implemented following ^1 with some modifications. You can use pre-commit hooks to automatically format your code with black:

pre-commit run black --all-files

With flake8 you can check whether your code follows all relevant formatting rules:

pre-commit run flake8 --all-files

Please note that black might not be able to automatically fix all problems and therefore flake8 might fail even if you have run black before. In this case, you will have to manually fix the remaining problems.

Further hints

  • Please consider installing EBFM via pip3 --editable . if you are developing the package.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ebfm-0.2.0.tar.gz (440.7 kB view details)

Uploaded Source

File details

Details for the file ebfm-0.2.0.tar.gz.

File metadata

  • Download URL: ebfm-0.2.0.tar.gz
  • Upload date:
  • Size: 440.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ebfm-0.2.0.tar.gz
Algorithm Hash digest
SHA256 e810f56e490afd799bde401330a263c715c5336bb7da211d92de655ac28e724f
MD5 e3ad84ec80f3ef9db9b3fb4b4cd40e9e
BLAKE2b-256 c20b7e25a6af38f4f49c977c9f397d92e595f6f5a64349d40589daa15f6d498c

See more details on using hashes here.

Provenance

The following attestation bundles were made for ebfm-0.2.0.tar.gz:

Publisher: release.yaml on EBFMorg/EBFM

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page