Resources

The primary reference for the challenge itself — its design, dataset, evaluation, and final results — is the STORM-AI article in Space Weather (see the Citation page).

The following datasets, development tools, and publications may also be helpful resources for participants to reference during the challenge. Please note that these resources should be cited or credited in accordance with the policies of the source entity when they are utilized to develop solutions for the challenge problem.

1. Transformer-based Atmospheric Density Forecasting (Briden, Siew, R.F., Linares)

2. Thermospheric mass density: A review (Emmert, J. T.)

3. New density estimates derived using accelerometers on-board the CHAMP and GRACE satellites (Mehta, Walker, Sutton, Godinez)

4. A thermosphere/ionosphere general circulation model with coupled electrodynamics (Richmond, A. D., Ridley, E. C., & Roble, R. G.)

5. NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities (Emmert, J. T., Drob, D. P., Picone, J. M., & Meier, R. R.)

6. A new empirical thermospheric density model JB2008 using new solar and geomagnetic indices (Bowman, B. R., Tobiska, W. K., Marcos, F. A., et al.)

7. OMNI2 space weather dataset (NASA Goddard Space Flight Center)

8. SWARM dataset (ESA)

9. GOES Satellite dataset for X-Ray Flux (NOAA)

10. pymsis (tool for modeling atmospheric density)