PyIRTAM
Python tool for processing IRTAM coefficients that evaluates ionospheric parameters and electron density on the entire given global grid and for the entire day simultaneously.
Installation
Install from PyPI:
pip install PyIRTAM
Or clone and install from the GitHub repository:
git clone https://github.com/victoriyaforsythe/PyIRTAM.git
cd PyIRTAM
pip install .
For more details and usage examples, see the Jupyter tutorials.
Example: Daily Ionospheric Parameters (I have IRTAM coefficients)
PyIRTAM computes daily ionospheric parameters with 15-min resolution IRTAM coefficietns. The user provides the F10.7 index for the day of interest, the alon and alat grid, the vertical grid aalt, and the time array of interest ahr.
Define the F10.7 index in solar flux units (sfu):
F107 = 90.8
Define day of interest:
year = 2022
month = 1
day = 1
Run PyIRTAM (coefficients need to be placed in irtam_dir):
(f2_iri, f1_iri, e_iri, es_iri, sun, mag, edp_iri, f2_irtam, f1_irtam,
e_irtam, es_irtam, edp_irtam) = PyIRTAM.run_PyIRTAM(year, month, day, ahr,
alon, alat, aalt, f107,
irtam_dir=irtam_dir,
use_subdirs=True,
download=False)
In case you need to download the coefficients use True in the download input.
Tutorials
Tutorials with Notebooks are available tutorials
Metadata
Release files for PyIRTAM 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyirtam-0.0.7.tar.gz | 20.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyirtam-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.4 kB
Release files / pyirtam-0.0.7.tar.gz
| Download URL | pyirtam-0.0.7.tar.gz |
|---|---|
| Size | 20.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.4
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Release files / pyirtam-0.0.7-py3-none-any.whl
| Download URL | pyirtam-0.0.7-py3-none-any.whl |
|---|---|
| Size | 15.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.4
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