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Datanauts

Nasa Apps Challenge 2023 Develop the Oracle of DSCOVR (Deep Space Climate Observatory

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Challenge:

  • Use the "raw" data from DSCOVR—faults and all— as input to predict geomagnetic storms on Earth.
  • Create your own geomagnetic activity forecast
  • Train a neural network on DSCOVR data to forecast the Planetary K-index (Kp).

DSCOVR measures the strength and speed of the solar wind in space, which enables us to predict geomagnetic storms.

Ariana: I understand that kp = f(st, sp). Where st stands for wind strength, sp stands for Speed, and kp stands for Plenetary K-index or strnght of the geomagnetic storm

DSCOVR, produces occasional faults that may themselves be indicators of space weather. ????

One possible approach to solve this challenge:

This challenge is a natural application for an adaptive neural network (ANN) (Machine learning regression)