High-Level Project Summary
Your challenge is to develop a machine learning (ML) algorithm or neural network pipeline for the DSCOVR spacecraft's FC instrument to track and follow the changes in the peak solar wind speed so that DSCOVR can continue to provide early warnings of the next potential Carrington-like event that could adversely impact life and property on Earth. You can access historical solar wind data from DSCOVR and other missions to use to train your ML algorithm to correctly detect and track these solar wind peaks.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Your challenge is to develop a machine learning (ML) algorithm or neural network pipeline for the DSCOVR spacecraft's FC instrument to track and follow the changes in the peak solar wind speed so that DSCOVR can continue to provide early warnings of the next potential Carrington-like event that could adversely impact life and property on Earth. You can access historical solar wind data from DSCOVR and other missions to use to train your ML algorithm to correctly detect and track these solar wind peaks.
Space Agency Data
Hackathon Journey
we learn, how to use cdf extension file, also how to combine two type of signal with diferent time series