Developing New Space Weather Tools: Transitioning fundamental science to operational prediction systems
Deadline: 15 June 2017
The Journal of Space Weather and Space Climate (SWSC) plans a topical issue on "Developing New Space Weather Tools: Transitioning fundamental science to operational prediction systems", to appear in 2017. This interdisciplinary issue is an outcome of Session 5 and Session 7 at the 13th European Space Weather Week (ESWW13) conference in November 2016 that brought together solar, space and Earth scientists, statisticians, operational forecasters and industry stakeholders. This Topical Issue will focus on the creation of new space weather prediction tools and highlight best practices applied in transitioning existing research tools to operational systems.
Authors of oral and poster presentations given at the ESWW13 conference are hereby encouraged to submit manuscripts. However, this Topical Issue is completely open to all contributors (i.e., it is not limited to conference participants).
This Topical Issue will address, among others:
- guidelines/requirements for operational space weather predictions;
- advances in existing research-oriented prediction systems;
- implementation of research-oriented models/tools in operational settings;
- robustness, reliability and testing of near-real time observations for space weather modelling;
- near-real time prediction system verification.
Manuscripts must be submitted via the SWSC online submission tool.
All manuscripts will be peer reviewed according to the quality standards of international scientific journals. The type of contributions must fit the style of SWSC. 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 SWSC web site. SWSC offers the possibility to include electronic material, such as animations, movies, codes and data.
The Topical Editors-in-Chief are: