Datanauts

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

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)