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.
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 Burrell et al., (2026) doi:10.1029/2025JA034335. Frequent updates are not expected.
Metadata
Release files for lstid-processing 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lstid_processing-0.0.2.tar.gz | 31.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lstid_processing-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.8 kB
Release files / lstid_processing-0.0.2.tar.gz
| Download URL | lstid_processing-0.0.2.tar.gz |
|---|---|
| Size | 31.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / lstid_processing-0.0.2-py3-none-any.whl
| Download URL | lstid_processing-0.0.2-py3-none-any.whl |
|---|---|
| Size | 31.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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