Projects

Scientific work in SWATNET is divided in three Work Packages (WPs) consisting of 4-5 individual research projects. Each project forms the basis of a PhD work for one student.

WP1: Modelling and forecasting solar activity

Project 1 Pre-eruption magnetic configuration and eruption
forecasting
: This project advances the understanding of pre-eruptive configuration of flares and CMEs and uses newly acquired insight for prediction purposes. The key objectives are to 1) showcase physics central to eruption triggering, based on the physics of the predictor values and success in forecasting solar eruptions, 2) provide fully validated eruption forecasting methods based on these predictors and generic machine-learning prediction methods, 3) critically asses new developments to indicate the next level of solar-eruption-induced space weather forecasting. Host: University of Ioannina/Academy of Athens, Greece. Secondment Host: University of Sheffield, UK. Industrial Training: HSPF (solar observations, 1 month), FGE (3 months, numerical simulations). Contact: Dr. Manolis Georgoulis (manolis.georgoulis (a) academyofathens.gr) with cc to Profs. Spiros Patsourakos (spatsour (a) uoi.gr) and Alexander Nindos (anindos (a) uoi.gr).

Project 2 Assessment of the Near-Sun CME Magnetic Field: This project assesses the axial magnetic field of CMEs for forecasting purposes by gathering available osbervational modeled quantities of source active regions at the Sun. The overarching principle for this assesment is the conservation of magnetic helicity accumulated in active regions and transferred CMEs upon launch. Host: University of Ioannina/Academy of Athens, Greece. Secondment Host: Maria Curie-Skłodowska University, Poland. Industrial Training: HSPF (solar observations, 1 month),  PTECH (2; industrial numerical methods). Contact: Dr. Manolis Georgoulis (manolis.georgoulis (a) academyofathens.gr), with cc to Profs. Spiros Patsourakos (spatsour (a) uoi.gr) and Alexander Nindos (anindos (a) uoi.gr)

Project 3 Three-dimensional solar flare forecasting: This project is to make a significant leap forward in Space Weather forecasting by generalising an existing forecast method from photosphere to the Interface Region and low corona in 3D. This allows identifying the optimum height for flare/CME lift-off prediction in the solar atmosphere. Host: University of Sheffield, UK. Secondment Host: University of Ioannina/Academy of Athens, Greece. Industrial Training: HSPF (solar observations, 1 month), FGE (3 months, numerical simulations). Contact: Prof. Robert Erdelyi (robertus (a) sheffield.ac.uk)

Project 4 Modelling periodic and quasiperiodic variations in solar activity: This project aims at important advancements in modelling variations in solar activity. The importance of solar activity variations as the single most important natural external driver of terrestrial climate change, has led to renewed attention on understanding the solar dynamo and forecasting cycle-to-cycle variations. Host: Eötvös Loránd University, Hungary. Secondment Host: University of Sheffield, UK. Industrial Training: HSPF (solar observations, 1 month), SAS (2 months; space weather monitoring). Contact: Prof. Kristof Petrovay (K.Petrovay (a) astro.elte.hu

WP2: Coronal and heliospheric modelling and forecasting

Project 5 A global MHD coronal model: This project objective is to enforce a breakthrough in coronal modelling by introducing a novel, global timedependent MHD coronal mode. This novel model will be built step-by-step based on our existing state-of-the-art multi-fluid chromosphere model. Host: Maria Curie-Skłodowska University, Poland. Secondment Host: University of Helsinki, Finland. Industrial Training: HSPF (solar observations, 1 month), SAS (2 months; space weather monitoring). Contact: Prof. Kris Murawski (kris.murawski (a) gmail.com)

Project 6 CME evolution in the corona: This project aims to investigate how CMEs evolve in the corona and quantify how this evolution depends on the magnetic structure of the CME, the instability responsible for the CME eruption and the properties of the source active regions. The project will combine state-of-the-art time-dependent magnetofrictional modelling and use extensive set of remote-sensing coronal observations. Host: University of Helsinki, Finland. Secondment Host: KU Leuven, Belgium. Industrial Training: HSPF (solar observations, 1 month), ASRO (3 months; energetic particle instrumentation). Contact: Prof. Emilia Kilpua (emilia.kilpua (a) helsinki.fi)

Project 7 Particle acceleration at coronal shocks: The overall goal of the project is to make crucial steps towards accurate forecasting of energetic particle emission from CME-driven shocks. The project develops and exploits UTU’s self-consistent solar energetic particle acceleration code SOLPACS/DSP. Host: University of Turku, Finland. Secondment Host: KU Leuven, Belgium. Industrial Training: HSPF (solar observations, 1 month), ASRO (2 months; energetic particle instrumentation). Contact: Prof. Rami Vainio (rami.vainio (a) utu.fi)

Project 8 Particle transport in interplanetary medium: This project aims is to develop a novel focused transport simulation model that allows simulations of SEP events in complex heliospheric situations. To achieve this, the model takes accurate input from heliospheric simulation EUHFORIA. The model will also include all most important transport processes. Host: KU Leuven, Belgium. Secondment Host: University of Turku, Finland. Industrial Training: HSPF (solar observations, 1 month), SAS (3 months; space weather monitoring). Contact: Prof. Stefaan Poedts  (stefaan.poedts (a) kuleuven.be)

Project 9 The P-DBM beyond 1 AU: forecasting CME arrival in the whole heliosphere: The overall goal of the project is to provide accurate predictions of CME arrival to Earth and beyond using statistics-based approaches. The premise is that observations from wide angle view-points (like from STEREO) will not be regularly available to allow 3D reconstruction of CME parameters for forecasting of the CME arrival. Host: Università degli Studi di Roma Tor Vergata, Italy. Secondment Host: University of Sheffield, UK. Industrial Training: HSPF (solar observations, 1 month), NEXT (3 months; industrial training). Contact: Dr. Dario del Moro  (dario.delmoro (a) roma2.infn.it)

WP3 Forecasting Space Weather with Artificial Intelligence

Project 10 Forecasting Solar Activity with Deep Learning: The project aims at forecasting Solar Activity in the next 24/48 hours real-time solar images and data. Present lack of physical understanding of some key processes and some key observations limit our capability to provide accurate long-lead-time forecasting. The premise of this project comes from the availability of large amount of data allowing to train an appropriate Artificial Neural Network (ANN) to classify the solar configurations that are most prone to release flares, CME or fast solar winds. Host: Università degli Studi di Roma Tor Vergata, Italy. Secondment Host: University of Coimbra, Portugal. Industrial Training: HSPF (solar observations, 1 month), NEXT (3 months; industrial training). Contact: Dr. Dario del Moro  (dario.delmoro (a) roma2.infn.it)

Project 11 CME arrival modelling with Machine Learning: This project will take advantage of numerous observations of different solar activities including CMEs, flares and solar cycles, and employing the modern machine learning algorithms, in particular, Support Vector Machine algorithm (SVM) and time-dependent ML algorithm (e.g. unsupervised cGAN), to make fast and accurate predictions of the above solar activities. Host: University of Sheffield, UK. Secondment Host: Università degli Studi di Roma Tor Vergata, Italy. Industrial Training: HSPF (solar observations, 1 month), PTECH (2 months; software development and design). Contact: Prof. Robert Erdelyi (robertus (a) sheffield.ac.uk

Project 12 – Development of mathematical morphology algorithms to characterize the solar activity: The project creates versatile algorithms based on mathematical morphological transforms to characterize the solar activity using a large solar database of Coimbra. Most current tools are mission specific, but the aim here is to develop tools that can deal with any type of solar images allows reaching new advances in automatic recognition and tracking. Host: University of Coimbra, Portugal. Secondment Host:  University of Sheffield, UK. Industrial Training: HSPF (solar observations, 1 month), PTECH (2 months; algorithm integration). Contact: Dr. Teresa Barata (teresabarata (a) dct.uc.pt