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Sami2py is a python module that runs the SAMI2 model, archives the output, and loads the resulting modeled values. SAMI2 is a model developed by the Naval Research Laboratory to simulate the motions of plasma in a 2D ionospheric environment along a dipole magnetic field [Huba et al, 2000]1. SAMI2 solves for the chemical and dynamical evolution of seven ion species in this environment (H+, He+, N+, O+, N2+, NO+, and O2+).
The implementation used here includes several added options to the original release of SAMI2. A full list is included in https://sami2py.readthedocs.io/en/latest/modifications.html, but several of these include: - The ability to scale the neutral atmosphere in which the ions form through direct modification of the exospheric neutral temperature for extreme solar minimum conditions, as discussed by Emmert et al2. - The ability to input custom ExB drifts as a Fourier series.
This implementation is based on the matlab version used in Klenzing et al3.
First, sami2py depends on fortran. Information on installing the GFortran compiler can be found here.
For additional information, please refer to the sami2py documentation.
Next, checkout the repository:
git clone https://github.com/sami2py/sami2py.gitChange directories into the repository folder and run the setup.py file. For a local install use the "--user" flag after "install".
cd sami2py
python setup.py installIf something has gone wrong, you may be prompted to manually install the fortran executables.
make -C sami2py/fortran compileor, on windows,
make -C sami2py\fortran compileIn iPython, run:
import sami2pyIf this is your first import of sami2py, it will remind you to set the top level directory that will hold the model output. This should be a string containing the path to the directory you want to store the data in, such as path='/Users/me/data/sami2py' or path='C:\home\data'. This should be outside the main code directory, so model output files are not confused with model inputs or source code. If you are using Git, it will also ensure that Git does not try to store your local code runs within the repository.
sami2py.utils.set_archive_dir(path=path)sami2py will raise an error if this is not done before trying to run the model.
sami2py.run_model(tag='run_name', lon=0, year=2012, day=210)Note that the sami2 model runs for 24 hours to clear transients, then begins to output data.
Now load the resultant data:
ModelRun = sami2py.Model(tag='run_name', lon=0, year=2012, day=210)When referring to this software package, please cite the original paper by Huba4 as well as the package5. Note that this doi will always point to the latest version of the code. The specific version doi can be found at the top of this page.
Additionally, please include the following text in the acknowledgements: "This work uses the SAMI2 ionosphere model written and developed by the Naval Research Laboratory."
Huba, J.D., G. Joyce, and J.A. Fedder, Sami2 is Another Model of the Ionosphere (SAMI2): A new low‐latitude ionosphere model, J. Geophys. Res., 105, Pages 23035-23053, https://doi.org/10.1029/2000JA000035, 2000.↩
Emmert, J.T., J.L. Lean, and J.M. Picone, Record‐low thermospheric density during the 2008 solar minimum, Geophys. Res. Lett., 37, https://doi.org/10.1029/2010GL043671, 2010.↩
Klenzing, J., A. G. Burrell, R. A. Heelis, J. D. Huba, R. Pfaff, and F. Simões, Exploring the role of ionospheric drivers during the extreme solar minimum of 2008, Ann. Geophys., 31, 2147-2156, https://doi.org/10.5194/angeo-31-2147-2013, 2013.↩
Huba, J.D., G. Joyce, and J.A. Fedder, Sami2 is Another Model of the Ionosphere (SAMI2): A new low‐latitude ionosphere model, J. Geophys. Res., 105, Pages 23035-23053, https://doi.org/10.1029/2000JA000035, 2000.↩
Klenzing, J., J.M. Smith, R. Kitano, M. Hirsch, A.G. Burrell, and zzyztyy. (2022). sami2py/sami2py: Version 0.3.0 (v0.3.0), https://doi.org/10.5281/zenodo.2875799↩