In 1995, GONG started its operations as a 3-year project
aimed at investigating the internal structure and dynamical behavior of the Sun
through the analysis of solar oscillations (so called, helioseismology). Over
the years, GONG observations were used by several generations of scientists to
study the parameters of the acoustic modes, and their variations over time and
space. Accurate knowledge of variability of these parameters within the solar
interior is essential for understanding the origins of magnetic activity and
for constraining solar dynamo models. One of the early results of
helioseismology using GONG data was the determination of the internal profile
of the solar rotation rate as a function of depth. In particular, the sharp
transition from differential to solid-body rotation, termed the
tachocline, was discovered at the base of the convection zone (about 200,000 km
below solar visible surface). Later, a thin shear layer in the rotation rate
immediately below the solar surface was detected. The latter is referred to as the
Near-Surface Shear Layer (NSSL), or leptocline.
While the line-of-sight (LOS) magnetograms were produced by
GONG from the beginning of the project, it was not until 2001, when the
magnetograms from the upgraded GONG++ saw the extensive use for studying
magnetic properties of the Sun, their changes with the flare activity, solar
cycle, modeling of coronal and interplanetary magnetic field, and solar wind. In 2010, GONG was also upgraded to take
observations in hydrogen H-alpha spectral line.
GONG data continue to be extensively used by the research
communities both in U.S. and abroad. See this post for highlights of scientific discoveries and early GONG history. The data are now used operationally by the
National Oceanic and Atmospheric Administration (NOAA) Space Weather Prediction
Center (SWPC), the space weather prediction center of U.K. MetOffice, and in
other countries (e.g. Japan, South Korea). For space weather awareness, GONG data are included in
the analyses of NASA’s Moon-to-Mars office. GONG observations are downloaded
for modeling of solar wind and solar eruptive events by the US university
groups, research organizations in Europe, and Community Coordinated Modeling
Center (CCMC) operated by NASA. Data is used for predicting the magnetic
connectivity between the solar surface and NASA’s Parker Solar Probe (PSP)
during its closest (perihelia) approach to the Sun. Farside images derived from GONG data are used for predicting future sunspot activity on Earth, and the appearance of sunspots on farside when observed from the EU's Solar Orbiter, or from a rover on Mars surface.
GONG observations are also used widely by amateur astronomers
to provide a reference and overall guidance for their observations. “The GONG Show”
depicting H-alpha and white light images are posted regularly on the amateur astronomy
website at https://www.cloudynights.com/. As one example, we show image reproduced from Sun Ha Session, 2026-04-29 (Frank
Lothar Unger) - AstroBin that uses GONG full disk image as a reference.
GONG data has been incorporated into several apps both for
scientific research communities and for public. This includes the Solar-MACH, a web-tool widely used in the
heliospheric community. It obtains, among others, GONG magnetograms using
sunpy's fido functionality to use them for the Potential Field Source Surface (PFSS)
modelling. The Solmate (solmate.nz), a
space weather dashboard for New Zealand, employs a Filament Tracker to highlight
filaments on GONG full-disk H-alpha images and watch for eruptions that might
send a CME towards Earth. In Australia, an amateur astronomer is working on a project
that incorporates GONG H-alpha full-disk images in his star atlas application. Recently, FaktPocasi.cz, a free Czech weather and
space-weather website contacted GONG project about their plans to display current
GONG observations on their site with additional explanations in plain language of
what is happening on the Sun.
Currently, two public competitions are using GONG observations. One is hosted by the Frontier Development Lab (FDL) https://fdl.ai/benchlab-solar-wind-prediction-2026, and is concentrated on prediction of solar wind using magnetograms from different instruments including GONG. The other, Kaggle competition "Solar
Filament Segmentation Challenge 2026" is one of seven IEEE Big Data Cup
2026 Data Challenges at the Frontier of AI, Science & Society, https://bigdataieee.org/BigData2026/cup/. It aims at the proper segmentation of solar chromospheric filaments using GONG H-alpha images.