Abstract

Aims: This paper presents a H2020 project aimed at developing an advanced space weather forecasting tool, combining the MagnetoHydroDynamic (MHD) solar wind and coronal mass ejection (CME) evolution modelling with solar energetic particle (SEP) transport and acceleration model(s). The EUHFORIA 2.0 project will address the geoeffectiveness of impacts and mitigation to avoid (part of the) damage, including that of extreme events, related to solar eruptions, solar wind streams, and SEPs, with particular emphasis on its application to forecast geomagnetically induced currents (GICs) and radiation on geospace.Methods: We will apply innovative methods and state-of-the-art numerical techniques to extend the recent heliospheric solar wind and CME propagation model EUHFORIA with two integrated key facilities that are crucial for improving its predictive power and reliability, namely (1) data-driven flux-rope CME models, and (2) physics-based, self-consistent SEP models for the acceleration and transport of particles along and across the magnetic field lines. This involves the novel coupling of advanced space weather models. In addition, after validating the upgraded EUHFORIA/SEP model, it will be coupled to existing models for GICs and atmospheric radiation transport models. This will result in a reliable prediction tool for radiation hazards from SEP events, affecting astronauts, passengers and crew in high-flying aircraft, and the impact of space weather events on power grid infrastructure, telecommunication, and navigation satellites. Finally, this innovative tool will be integrated into both the Virtual Space Weather Modeling Centre (VSWMC, ESA) and the space weather forecasting procedures at the ESA SSCC in Ukkel (Belgium), so that it will be available to the space weather community and effectively used for improved predictions and forecasts of the evolution of CME magnetic structures and their impact on Earth.Results: The results of the first six months of the EU H2020 project are presented here. These concern alternative coronal models, the application of adaptive mesh refinement techniques in the heliospheric part of EUHFORIA, alternative flux-rope CME models, evaluation of data-assimilation based on Karman filtering for the solar wind modelling, and a feasibility study of the integration of SEP models.

Highlights

  • Aims: This paper presents a H2020 project aimed at developing an advanced space weather forecasting tool, combining the MagnetoHydroDynamic (MHD) solar wind and coronal mass ejection (CME) evolution modelling with solar energetic particle (SEP) transport and acceleration model(s)

  • This innovative tool will be integrated into both the Virtual Space Weather Modeling Centre (VSWMC, ESA) and the space weather forecasting procedures at the ESA SSCC in Ukkel (Belgium), so that it will be available to the space weather community and effectively used for improved predictions and forecasts of the evolution of CME magnetic structures and their impact on Earth

  • We explore a fully data-driven modelling approach of erupting coronal magnetic fields provided by the supporting University of Helsinki (UH) ERC project SolMAG (PI: Emilia Kilpua) to obtain CME magnetic structure self-consistently and time-dependently without the intervention of the modeller (Pomoell et al, 2019; Price et al, 2019)

Read more

Summary

Aims and motivation

The EUHFORIA 2.0 project aims at developing an advanced space weather forecasting tool. The project addresses the geoeffectiveness of the impacts of CMEs, CIRs, and SEPs and mitigation of (part of) the damage these cause It considers extreme events, but the emphasis is on improving the prediction of “normal” space weather and its effects, in particular on its applications to forecast geomagnetically induced currents (GICs) and radiation on geospace. Current space weather modelling tools, lack several crucial aspects which clearly limits their forecasting capability, namely related to (1) interfacing different models from the Sun to the magnetosphere and ground effects models, (2) predicting in advance the internal magnetic field of Earthimpacting CMEs (this is a vital aspect to understand and forecast CME–CME interactions), and (3) having capability to predict SEP events. For poorly connected eastern events, physics-based modelling can significantly improve even the lead time, in particular, if observations from L5 are available, which would allow one to assimilate observations from a better-connected location

Objectives
Key science questions
How are SEPs produced and transported to 1 AU over the course of CMEs?
Project concept
Objective
Some first results of the project
Global non-potential model of the coronal magnetic field
Multi-VP model coupled to EUHFORIA
Alternative CME flux-rope models
Including solution adaptive mesh refinement techniques in EUHFORIA
Evaluation of data-assimilation based on Kalman filtering for wind modelling
Integration of SEP models – feasibility study
Brief preliminary conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call