Statement of Task:
In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.
The NOAA MagNet website provides a link to registration, a statement of the problem, and a portal for submission.
NOAA / NASA data science competition: Predict the Dst index! Cash prizes available
By: miker on: Fri., Jan. 01, 2021 05:16 PM EST (2522 Reads)
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NOAA is sponsoring a competition with support from NASA involving prize money to "better forecast changes in Earth's magnetic field", specifically the disturbance-storm-time index, Dst, which is a measure of the severity of geomagnetic storms. In the words of the announcement, "..we seek solutions that work on the raw, real-time data streams and are agnostic to sensor malfunctions and noise." The sources of real-time data are NOAA’s Deep Space Climate Observatory (DSCOVR) satellite and NASA's Advanced Composition Explorer (ACE) satellite. Prize money varies from $15k for first place to $2k for fourth place. The competition announcement can be found at https://www.drivendata.org/competitions/73/noaa-magnetic-forecasting/page/278/.
 The deadline for submissions is Feb. 12, 2021 11:59 PMArt credit: NOAA MagNet website |
