Registration open for RAS Meeting on Space Weather Prediction: Instruments, Modelling and Machine-Learning, London, UK, April 22, 2022

We have opened registration for the upcoming Royal Astronomical Society Specialist Discussion Meeting: “Future Solar and Heliospheric Assets for Space Weather Prediction: Instruments, Modelling and Machine-Learning” which will take place virtually on Friday, 22nd April, 2022.

Registration cost is £5 and free for Fellows of the RAS.

Meeting Abstract
The UK has world leading heliophysics and space weather programmes with, for example, major involvement in operating space missions such as SOHO, STEREO and Solar Orbiter, ground-based facilities such as BISON and LOFAR, and the creation of the MET Office Space Weather Operations Centre. Notably, currently under development, is the (formerly known as Lagrange) ESA Vigil operational space weather mission to the Lagrange L5 point in which the UK has invested heavily via ESA’s Space Safety Programme. In tandem with further L1 missions under development, Vigil will underpin a wave of new research opportunities aimed at increasing predictive capabilities for space weather forecasting.
As we enter the era of satellite mega-constellations and domestic rocket launches, and with the NASA/ESA Lunar Gateway Space Station due to be stationed outside the protective influence of the Earth’s magnetic field, there is a strong need to better understand the fundamental link between solar and interplanetary space weather and the near-Earth environment. As we observe increasing solar activity in Solar Cycle 25, a community wide effort is required to coordinate and synergise current and future developments.
We invite contributions from academic and space weather communities on all aspects of solar- and helio-physics starting from the solar surface, extending out through the solar corona, into the solar wind, and out to Earth’s orbit and beyond. The meeting will focus on three key themes:
1. Space-, ground-based and in-situ observations of the photosphere, corona and inner heliosphere;
2. Physical models which solve the relevant physics to make best use of sparse observations in space and to fill gaps where observations are unavailable; and
3. Data assimilation and machine learning techniques which are now understood to be fundamental for many regimes of space weather forecasting.

Abstract submission

Abstract submission is now open with a deadline of Thursday 31st March. Please fill in the following form to submit your abstract:

Any queries can be addressed to Ravindra Desai (

Invited Speakers include:
Dr. Enrico Camporeale (NOAA, University of Colarado)
Dr. Eftyhia Zesta (NASA Heliospherics Division)
Prof. Dr. Stefaan Poedts (Katholieke Universiteit Leuven)
Prof. Dr. Jasmina Magdalenić (Royal Observatory of Belgium)