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Filtering by: Creator Jiao, Zhenbang Creator Manchester, Ward Discipline Engineering

Data for Solar Flare Intensity Prediction with Machine Learning Models

Creator:

Jiao, Zhenbang, Chen, Yang, and Manchester, Ward

Description:

GOES_flare_list: contains a list of more than 12,013 flare events. The list has 6 columns, flare classification, active region number, date, start time end time, emission peak time. SHARP_data.hdf5 files contain time series of 20 physical variables derived from the SDO/HMI SHARP data files. These data are saved at a 12 minute cadence and are used to train the LSTM model.

Keyword:

Solar Flare Prediction and Machine Learning

Citation to related publication:

Jiao, Z., Sun, H., Wang, X., Manchester, W., Gombosi, T., Hero, A., & Chen, Y. (2020). Solar Flare Intensity Prediction With Machine Learning Models. Space Weather, 18(7), e2020SW002440. https://doi.org/10.1029/2020SW002440 and Chen, Y., & Manchester, W. (2019). Data and Data products for machine learning applied to solar flares [Data set], University of Michigan - Deep Blue. https://doi.org/10.7302/qnsq-cs38

Discipline:

Engineering and Science