Identify TIDs in CINDI and process SAMI3 data
Project description
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.
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