Pyharp is the one-stop tool for calculating the radiation flux of planetary atmospheres, from terrestrial to giant planets. Detailed documentation and examples are available at https://pyharp.readthedocs.io.
Pyharp can be installed via pip:
pip install pyharpWe support Linux and Mac operation systems with Python version 3.9+.
Pyharp has built-in functionalities that work with various opacity sources. The following table summaries off-the-shelf opacities.
| Opacity Name | Tested | Peer Reviewed | References |
|---|---|---|---|
| Premix H2 molecule | YES | NO | [1] |
| H2-He continuum | YES | YES | [2] |
| CO2 molecule | YES | NO | |
| CO2 continuum | YES | NO | |
| H2O molecule | YES | NO | |
| H2O continuum | YES | NO | |
| N2 molecule | YES | NO | |
| N2 continuum | YES | NO | |
| Grey (user implement) | YES | NO | |
| (More coming) | ... | ... |
You can choose the backend radiative transfer solver to use by Pyharp. Here are the available options:
| Radiative Transfer Solver | Tested | Peer Reviewed | References |
|---|---|---|---|
| DISORT | YES | YES | [1] |
| Two-steam (Toon-McKay) | NO | NO |
If you want to further develop Pyharp, you will need to install it locally, which allows you to modify the source code and test. Open a Linux or Mac terminal and clone this repo using the following command:
git clone https://github.com/chengcli/pyharpThis will copy all source files into your local computer. You will need to install a few
system libraries before installing Pyharp. All following instructions are executed under
the pyharp/ directory.
- Python 3.9+
- Linux or macOS
- netCDF
- python virtual environment (venv)
brew install netcdfsudo yum install netcdfsudo apt-get install libnetcdf-devAfter you completed the installation steps, you can build the pyharp library.
We will build the package in-place, meaning that the build (binary files) are
located under pyharp/build/bin. To do so, make a new directory named build
mkdir build
All build files will be generated and placed under this directory. It is completely safe
to delete the whole directory if you want another build. cd to build and cmake
cd build
cmake ..
This command tells the cmake command to look for CMakeFiles.txt in the parent directory,
and start configuring the compile environment. Then compile the code by
make -j4
This comman will use 4 cores to compile the code in parallel. Once complete, all
executable files will be placed in build/bin.
The python library can be installed by running the following command in the root directory:
pip install -e .To test the installation, import pyharp in a python shell:
import pyharpThe build is successful if you do not see any error messages.
Contributions are welcome! Please open an issue or PR if you’d like to:
- Find a bug
- Suggest new functions
- Add examples
- Improve documentation
- Expand test coverage
Maintained by @chengcli — feel free to reach out with ideas, feedback, or collaboration proposals.