Solar Flare Forecasting Multiple ML and Curation Technique Study Hour-by-hour SHARP Parameter Data Archive

Creator

Timothy S. Newman, University of Alabama in Huntsville

Files

Description

Hour-by-hour AR parameter data as a series of .csv files in a zip archive. Contains the "filtered" data described in the "Solar Flare Forecasting using Machine Learning (ML) and SDO/HMI Data: Multiple ML Model and Data Curation Technique Comparison Study" paper of Newman, Hall, Farris, Singh, Pogorelov, Benson, Raza, and Trital paper, 2025 submission date, for ApJS. Each file in the zip has data for one class of flares at a timepoint a certain number of hours in advance of flare onset. The first letter of such file names indicates flare class and the number before "hrs" in the title indicates the number of hours in advance of flare onset for the data in the file.

Publisher

Generated by UAH using data derived from SHARP DRMS FITS data and UAH computation.

Publication Date

2025

Disciplines

Computer Sciences

Keywords

Space weather; Solar flares; Active regions of the sun; Machine learning;

Funder(s)

Funded in part by NASA under grant R2O2R 80NSSC22K0270.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Recommended Citation

Newman, Timothy S., "Solar Flare Forecasting Multiple ML and Curation Technique Study Hour-by-hour SHARP Parameter Data Archive" (2025). Open Data. 1.
https://louis.uah.edu/open-data/1