Repository

ID Name Description Access Point Terms and Conditions
1 MSTID Climatology Diurnal dTEC variability over the Digisonde locations in Europe.

MSTID Climatology @ T-FORS website

 

MSTID Climatology @ PITHIA-NRF e-Science Centre

This is an Open Access code, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), provided the original work is cited as follows:

  • Mani, S., Mielich, J., Verhulst, T., Buresova, D., Barta, V., Belehaki, A., Altadill, D., Segarra, A., Kouba, D., & Berenyi, K. (2023). MSTID forecasting methodology and data inventory (2.0). Zenodo. https://doi.org/10.5281/zenodo.8085475
2 Catalogue-based LSTID forecasting model
 Short-Term High-Accuracy (ST-HA) model, aimed at forecasting the LSTID occurrence with a horizon of a few hours (1 to 3 hours). The approach followed leverages the detected TID characteristics from an improved version of the TechTIDE catalogue based on the network of ionosondes over Europe and covering the period 2014-2022. 

Catalogue-based LSTID forecasting model @ GitHub

  

Catalogue-based LSTID forecasting model @ Streamlit

  

This is an Open Access code, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), provided the original work is cited as follows:
3 HFI-SEC based LSTID forecasting model over Digisonde locations
 Short-Term High-Accuracy (ST-HA) model, aimed at forecasting the LSTID occurrence with a horizon of a few hours (1 to 3 hours). The approach followed the auroral electrojet indices IL and IU provided by the FMI IMAGE network, the Gradient GNSS TEC Activity Index provided by DLR and the archived estimates of the Spectral Energy Contribution (SEC) calculated with the HF-INF method based of the analysis of MUF characteristics over Digisonde stations at European middle latitudes. A Temporal Fusion Transformer classifier is then trained to forecast the SEC of detected LSTIDs over Digisonde stations. 

HFI-SEC based LSTID forecasting model over Digisonde locations @ Zenodo

This is an Open Access code, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), provided the original work is cited as follows: