J. Space Weather Space Clim.
Volume 11, 2021
Topical Issue - Space Weather research in the Digital Age and across the full data lifecycle
|Number of page(s)||4|
|Published online||19 October 2021|
Space Weather research in the Digital Age and across the full data lifecycle: Introduction to the Topical Issue
Atmosphere and Space Technology Research Associates (ASTRA), Louisville, 80027 CO, USA
2 CIRES, University of Colorado, Boulder, 80309 CO, USA
3 NOAA Space Weather Prediction Center, Boulder, 80305 CO, USA
4 Academy of Athens, 106 79 Athens, Greece
5 National Observatory of Athens, 15236 Penteli, Greece
* Corresponding author: email@example.com
Accepted: 15 September 2021
The onset and rapid advance of the Digital Age have brought challenges and opportunities for scientific research characterized by a continuously evolving data landscape reflected in the four V’s of big data: volume, variety, veracity, and velocity. The big data landscape supersedes traditional means of storage, processing, management, and exploration, and requires adaptation and innovation across the full data lifecycle (i.e., collection, storage and processing, analytics, and representation). The Topical Issue, “Space Weather research in the Digital Age and across the full data lifecycle”, collects research from across the full data lifecycle (collection, management, analysis, and communication; collectively “Data Science”) and offers a tractable compendium that illustrates the latest computational and data science trends, tools, and advances for Space Weather research. We introduce the paradigm shift in Space Weather and the articles in the Topical Issue. We create a network view of the research that highlights the contribution to the change of paradigm and reveals the trends that will guide it hereafter.
Key words: Data science / machine learning / forecasting / space weather / network / transdisciplinary
© R.M. McGranaghan et al., Published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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