https://github.com/aburrell/lstid_processing
Identify TIDs in CINDI and process SAMI3 data.
https://github.com/aburrell/lstid_processing
Last synced: 12 months ago
JSON representation
Identify TIDs in CINDI and process SAMI3 data.
- Host: GitHub
- URL: https://github.com/aburrell/lstid_processing
- Owner: aburrell
- License: mit
- Created: 2025-05-23T17:08:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-27T21:25:07.000Z (about 1 year ago)
- Last Synced: 2025-06-04T11:18:21.881Z (about 1 year ago)
- Language: Python
- Size: 527 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Zenodo: .zenodo.json
Awesome Lists containing this project
README
Repository with tools for identifying medium and large scale Travelling
Ionospheric Disturbances (TIDs) in the Communication/Navigation Outage
Forecasting System (C/NOFS) Coupled Ion-Neutral Dynamics Investigation (CINDI)
Ion Velocity Meter (IVM) data, tools for working with SAMI3 runs, and a routine
to obtain model runs used for a LSTID case study are provided.
[DOI HERE] [PYPI HERE] [](https://lstid-processing.readthedocs.io/en/latest/?badge=latest)
Example
-------
To download all of the model runs to a local directory:
```
import lstid_processing
sami3_files = lstid_processing.model.io.download_nrl_files('path/to/downloads')
```
Notes
-----
This package and data are supplied to support the reproducibility of a
manuscript currently under review. Frequent updates are not expected.