We live with an active and variable star - the Sun. The Sun is not only the main energy source for the
Earth’s climate system, it also protects us from harmful galactic cosmic rays. However, the Sun potentially endangers modern civilization through large solar eruptions, such as solar flares, coronal mass ejections (CMEs), and solar energetic particles (SEPs), which introduce enormous quantities of particles and energy to Earth’s atmosphere. Space weather is defined as the total effects of the solar wind and solar eruptive phenomena, such as solar flares, CMEs and SEPs on Earth’s magnetosphere, ionosphere, and thermosphere. The space weather conditions have drastic effects on out space- and ground-based technology. For example, Halloween solar storms in 2003 killed a Japanese Earth resource satellite, while in 1989 a large solar eruption left populations in Quebec and New York without power for many hours.
Therefore, it is imperative to be able to forecast the occurrences of the Space Weather conditions as well as to study their nature and their effects on Earth. There are numerous ground- and space-based observatories continuously measures the solar output, such as surface magnetic fields from magnetograms, and pass-band images of the Sun which show us magnetic activity structures at different atmospheric heights and temperatures, such as the Global Oscillation Network Group (GONG), Wilcox Solar Observatory (WSO), Solar Dynamics Observatory (SDO), and Solar and Heliospheric Observatory
(SOHO). In addition to these observations, there are numerous satellite missions, such as WIND, ACE, DSCOVR, THEMIS that measure the bulk properties of the solar wind plasma as well as the energetic particles in the interplanetary medium and at Earth. Further, measurements of the Earth’s space environment, for example by the
GOES missions, together with ground-based monitors have been continuously done.
All these technological achievements led to collection of vast mounts of data, which in turn allows scientist all around the world to utilize Artificial Intelligence (AI) on problems ranging from forecasting of solar eruptions to anomaly detection and their corrections in measurements. The scope of this Research Topic is to collect original research papers on applications of AI methods to tackle scientific problems in Heliospheric physics, covering the area from the Sun to Earth.
We encourage topics on:
(i) detection, identification and tracking magnetic solar activity structures on images from ground- and space-based solar observatories,
(ii) forecasting solar eruptions, such as flares, coronal mass ejections, and solar energetic particle events,
(iii) solar wind propagations from L1 to Earth,
(iv) forecasting geomagnetic storms,
(v) forecasting the solar cycle amplitudes,
We also encourage studies on the operational side of Heliophysics, such as:
(i) anomaly detection and correction,
(ii) data calibration-validation,
(iii) super-resolution
We live with an active and variable star - the Sun. The Sun is not only the main energy source for the
Earth’s climate system, it also protects us from harmful galactic cosmic rays. However, the Sun potentially endangers modern civilization through large solar eruptions, such as solar flares, coronal mass ejections (CMEs), and solar energetic particles (SEPs), which introduce enormous quantities of particles and energy to Earth’s atmosphere. Space weather is defined as the total effects of the solar wind and solar eruptive phenomena, such as solar flares, CMEs and SEPs on Earth’s magnetosphere, ionosphere, and thermosphere. The space weather conditions have drastic effects on out space- and ground-based technology. For example, Halloween solar storms in 2003 killed a Japanese Earth resource satellite, while in 1989 a large solar eruption left populations in Quebec and New York without power for many hours.
Therefore, it is imperative to be able to forecast the occurrences of the Space Weather conditions as well as to study their nature and their effects on Earth. There are numerous ground- and space-based observatories continuously measures the solar output, such as surface magnetic fields from magnetograms, and pass-band images of the Sun which show us magnetic activity structures at different atmospheric heights and temperatures, such as the Global Oscillation Network Group (GONG), Wilcox Solar Observatory (WSO), Solar Dynamics Observatory (SDO), and Solar and Heliospheric Observatory
(SOHO). In addition to these observations, there are numerous satellite missions, such as WIND, ACE, DSCOVR, THEMIS that measure the bulk properties of the solar wind plasma as well as the energetic particles in the interplanetary medium and at Earth. Further, measurements of the Earth’s space environment, for example by the
GOES missions, together with ground-based monitors have been continuously done.
All these technological achievements led to collection of vast mounts of data, which in turn allows scientist all around the world to utilize Artificial Intelligence (AI) on problems ranging from forecasting of solar eruptions to anomaly detection and their corrections in measurements. The scope of this Research Topic is to collect original research papers on applications of AI methods to tackle scientific problems in Heliospheric physics, covering the area from the Sun to Earth.
We encourage topics on:
(i) detection, identification and tracking magnetic solar activity structures on images from ground- and space-based solar observatories,
(ii) forecasting solar eruptions, such as flares, coronal mass ejections, and solar energetic particle events,
(iii) solar wind propagations from L1 to Earth,
(iv) forecasting geomagnetic storms,
(v) forecasting the solar cycle amplitudes,
We also encourage studies on the operational side of Heliophysics, such as:
(i) anomaly detection and correction,
(ii) data calibration-validation,
(iii) super-resolution
