Topical Issue "Space Weather research in the Digital Age and across the full data lifecycle", deadline 30 September
The Journal of Space Weather and Space Climate (JSWSC) plans a Topical Issue on "Space Weather research in the Digital Age and across the full data lifecycle" to appear in 2019.
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). Despite this dramatic paradigm change Space Weather research has not fully embraced available approaches and techniques to facilitate new discovery and knowledge from data. Space Weather research in the Digital Age and across the full data lifecycleem> offers a tractable compendium that illustrates the latest computational and data science trends, tools, and advances for Space Weather research.
This Topical Issue targets to serve as a resource from which researchers and practitioners across the different disciplines involved can learn and ideate. Relevant space weather-related topics include the following, or combinations thereof, directly related to space-weather understanding and/or forecasting:
- Data collection
- Transmission of large data volumes
- Sensing technologies (e.g., sensors, instruments)
- Mission concepts (e.g., operational missions, cubesats)
- Data storage and processing
- Data benchmarks and archival systems
- Data mining and feature / pattern recognition
- High performance computing
- Cloud computing
- Data analytics
- Statistical analyses
- Information theory
- Machine/deep learning
- The intersection of physics- and data-driven analyses
- Code, data, and forecast evaluation/verification
- Research-to-Operations through scientific data
- Data representation
- Open source systems
- Data visualization
- Advanced data-interactive environments with data (e.g., virtual reality)
Particular challenges related to the big data landscape for space weather that could be addressed by submissions and relate to the categories listed above include:
- Data reduction
- Uncertainty quantification
- Data transmission
- Data fusion (including distributed data)
- Reproducibility of analyses and results
- Interaction with data (e.g., visualization)
This Topical Issue is based on the outputs of the session "Unveiling Current Challenges in Space Weather Forecasting" at the 15th European Space Weather Week. However, it is open to all contributors and not limited to ESWW15 participants.
Manuscripts must be submitted via the JSWSC online submission tool.
Deadline: 30 September 2019
All manuscripts will be peer reviewed according to the quality standards of international scientific journals. The type of contributions must fit the style of JSWSC. All manuscripts should contain enough new insight, present the results against a properly referenced background of existing work, and present adequate evidence that supports the conclusions. Accepted papers are published in electronic format only, and are freely available to everyone via the JSWSC web site. JSWSC offers the possibility to include electronic material, such as animations, movies, codes and data.
Topical Editor-in-Chief (T-EiC):