Multivariate time series dataset for space weather data analytics.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
10 07 2020
Historique:
received: 08 03 2019
accepted: 26 05 2020
entrez: 12 7 2020
pubmed: 12 7 2020
medline: 12 7 2020
Statut: epublish

Résumé

We introduce and make openly accessible a comprehensive, multivariate time series (MVTS) dataset extracted from solar photospheric vector magnetograms in Spaceweather HMI Active Region Patch (SHARP) series. Our dataset also includes a cross-checked NOAA solar flare catalog that immediately facilitates solar flare prediction efforts. We discuss methods used for data collection, cleaning and pre-processing of the solar active region and flare data, and we further describe a novel data integration and sampling methodology. Our dataset covers 4,098 MVTS data collections from active regions occurring between May 2010 and December 2018, includes 51 flare-predictive parameters, and integrates over 10,000 flare reports. Potential directions toward expansion of the time series, either "horizontally" - by adding more prediction-specific parameters, or "vertically" - by generalizing flare into integrated solar eruption prediction, are also explained. The immediate tasks enabled by the disseminated dataset include: optimization of solar flare prediction and detailed investigation for elusive flare predictors or precursors, with both operational (research-to-operations), and basic research (operations-to-research) benefits potentially following in the future.

Identifiants

pubmed: 32651380
doi: 10.1038/s41597-020-0548-x
pii: 10.1038/s41597-020-0548-x
pmc: PMC7351763
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

227

Subventions

Organisme : NASA
ID : NNX15AF39G
Pays : United States
Organisme : NASA
ID : NNX15AF39G
Pays : United States
Organisme : NASA
ID : NNX15AF39G
Pays : United States
Organisme : NASA
ID : NNX15AF39G
Pays : United States
Organisme : NSF | Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences (AST)
ID : 1443061
Pays : International
Organisme : NSF | Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences (AST)
ID : 1443061
Pays : International
Organisme : NSF | Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences (AST)
ID : 1443061
Pays : International
Organisme : NSF | Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences (AST)
ID : 1443061
Pays : International
Organisme : NSF | Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences (AST)
ID : 1443061
Pays : International
Organisme : NSF | Directorate for Mathematical & Physical Sciences | Division of Physics (PHY)
ID : 1443061
Pays : International

Références

Space Weather. 2014 May;12(5):306-317
pubmed: 26213517
Living Rev Sol Phys. 2015;12:4
pubmed: 27194958
Living Rev Sol Phys. 2008;5:1
pubmed: 27194959
Sol Phys. 2018;293(2):18
pubmed: 31258200
Sol Phys. 2015;290(5):1507-1529
pubmed: 26069350

Auteurs

Rafal A Angryk (RA)

Department of Computer Science, Georgia State University, Atlanta, United States. rangryk@gsu.edu.

Petrus C Martens (PC)

Department of Physics & Astronomy, Georgia State University, Atlanta, United States.

Berkay Aydin (B)

Department of Computer Science, Georgia State University, Atlanta, United States.

Dustin Kempton (D)

Department of Computer Science, Georgia State University, Atlanta, United States.

Sushant S Mahajan (SS)

Department of Physics & Astronomy, Georgia State University, Atlanta, United States.

Sunitha Basodi (S)

Department of Computer Science, Georgia State University, Atlanta, United States.

Azim Ahmadzadeh (A)

Department of Computer Science, Georgia State University, Atlanta, United States.

Xumin Cai (X)

Department of Computer Science, Georgia State University, Atlanta, United States.

Soukaina Filali Boubrahimi (S)

Department of Computer Science, Georgia State University, Atlanta, United States.

Shah Muhammad Hamdi (SM)

Department of Computer Science, Georgia State University, Atlanta, United States.

Michael A Schuh (MA)

Department of Computer Science, Georgia State University, Atlanta, United States.

Manolis K Georgoulis (MK)

Department of Physics & Astronomy, Georgia State University, Atlanta, United States.
RCAAM of the Academy of Athens, Athens, Greece.

Classifications MeSH