Citation

The STORM-AI dataset contains multiple data sources and should be credited in accordance with the policies of each data provider linked in the Dataset and Resources sections.

Please use the following citations to reference the 2025 AI challenge problem and preceding foundational research respectively:

@article{SanchezHurtado2026,
  year = {2026},
  author = {Sanchez-Hurtado, Sergio and Solera, Haley E. and Parker, William E. and Tian, Mia and Qian, Ruoxi and Chen, Edenna and Zucchelli, Enrico M. and Ridha, Rasyid and Bruno, Dominic and Yeung, Christopher and Gmys, Justin and Tran, Binh and Joshi, Bhargav M. and Rodriguez-Fernandez, Victor and Mitchell, Jefferson and Mitchell, Morgan and How, Jonathan P. and Lavezzi, Giovanni and Linares, Richard},
  title = {AI Challenge for Satellite Tracking and Orbit Resilience Modeling (STORM-AI): Dataset, Design, and Results},
  journal = {Space Weather},
  note = {Free preprint available at [https://www.researchgate.net/publication/401028911_AI_Challenge_for_Satellite_Tracking_and_Orbit_Resilience_Modeling_STORM-AI_Dataset_Design_and_Results](https://www.researchgate.net/publication/401028911_AI_Challenge_for_Satellite_Tracking_and_Orbit_Resilience_Modeling_STORM-AI_Dataset_Design_and_Results)}
}
@article{Briden2023,
  year = {2023},
  month = Sept,
  author = {Julia Briden and Peng Mun Siew and Victor Rodriguez-Fernandez and Richard Linares},
  title = {Transformer-based Atmospheric Density Forecasting},
  journal = {Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference},
  note = {Free preprint available at [https://arxiv.org/abs/2310.16912](https://arxiv.org/abs/2310.16912)}
}

If you use the dataset itself, please also cite the permanent archive on the Harvard Dataverse, and credit the underlying data providers (ESA, NASA Goddard / OMNI2, NOAA / GOES, and the Space-Track catalog) in accordance with their respective policies.