Space Weather and Solar Flare Forecasting
These pages contain general information about space weather and its effects on Earth outlining the context in which the FLARECAST forecasting system is being developed. Solar flares are not the only phenomena responsible for solar activity, and there are significant differences both in their workings and effects compared to other phenomena such as coronal mass ejections, filament eruptions or fast wind flowing out of coronal holes. A section thus describes what solar flares are, where and when they occur and what may happen after a big flare. The next section summarises how flares have been observed in the past, how they are presently forecasted and the approach taken by the FLARECAST project to automatise solar flare forecasting. A list of current space weather prediction centres complements the information, aiming at positioning solar flare forecasting within the bigger picture of space weather prediction – a field that may be characterized by ‘work-in-progress’, as more research is needed at various levels.
- What is space weather?
- What are solar flares?
- How we forecast solar flares
- Space weather prediction centres
What are solar flares?
Are these flares?
- This is not a flare. It is a Coronal Mass Ejection CME spreading out into space.
- This is not a flare. It is a plasma eruption.
- These are not flares but magnetic loops.
- This flash of brightness is a flare! A huge amount of energy is released.
A FULL DISK VIEW OF A FLARE
Click on the image to observe three hours in just 30 seconds. Keep an eye on the top right quadrant and be patient! The flare happens at the end of the movie.
WHAT HAPPENS AFTER A SOLAR FLARE?
A flare affects all layers of the solar atmosphere.
- The plasma (matter hotter than gas) in the solar atmosphere is heated to millions of degrees C°.
- Electrons, protons and ions are accelerated to near the speed of light.
- The charged particles produce radiation in all wavelengths of the electromagnetic spectrum, from radio waves to X- and gamma-rays.
A flare may cause space weather phenomena near the Earth
Radio blackouts: Light will from the flare will reach the Earth as soon as 8 minutes. X-rays and extreme ultraviolet light from solar flares ionise the Earth’s atmosphere, which can block radio signals in the enhanced dayside (Sun facing) area of the upper atmosphere.
Solar radiation storms: It takes only about twenty minutes until the high energy radiation released during a big flare reaches the Earth. It may cause a solar radiation storm in our planet’s atmosphere. The charged particles may interrupt radio transmissions and disturb satellite operations. They are a hazard for astronauts and crew/passengers of high-altitude aircrafts.
Geomagnetic storms: A flare (not every flare!) may produce a Coronal Mass Ejection (CME) blasting off millions of tons of matter into space. It takes two to four days until a CME reaches the Earth. The solar storm may cause a geomagnetic storm, disturbing the magnetic fields around the Earth. While geomagnetic storms produce beautiful auroras, they also can disrupt navigation systems such as the Global Navigation Satellite System (GNSS) and create harmful geomagnetic induced currents (GICs) in the power grid and pipelines.
WHERE DO SOLAR FLARES OCCUR?
You need to look at active regions near sunspots. However, not every sunspot produces a flare. Bigger, more complex regions with a history of flaring are generally thought more likely to flare.
Sunspots can be observed from the Earth with a simple telescope. Yet, for observing solar activity, we need a UV instrument such as the one on board the satellite Solar Dynamic Observatory. Using this we can see magnetic loops, in which huge amounts of energy is trapped. Once a magnetic loop bursts, the energy is released in the form of a solar eruption.
Active region with sunspots in visible light and in two different wavelengths of extreme ultraviolet light. Credit: NASA/SDO
WHEN DO SOLAR FLARES HAPPEN?
Tiny flares may occur throughout the eleven years solar cycle.
The active phase of the solar cycle generally sees more solar eruptions, however big flares triggering space weather events can occur at any time during the cycle. After a peak in 2012 and in 2014, solar activity is currently declining with the minimum expected in the early 2020s.
Please check the NOAA Space Weather Prediction Center for the latest update of the current solar cycle.
More about solar flares at Solar Flare Theory Educational Web Pages
Any questions about solar flares? Ask us.
How we forecast solar flares: past, present and future
OBSERVING FLARES IN THE PAST
Sunspots were observed on a regular basis since the early 17th century. Galileo Galilei’s sunspot drawings are some of the best known observations of that time.

Sunspot drawings by Galileo Galilei, 1612. Images: Galileo Project, Rice University. Graphic: Bob Oakley
It took more that two centuries until the first observation of a solar flare was recorded.
Click here to learn more

Sunspots of September 1, 1859, as sketched by Richard Carrington. A and B mark the initial positions of an intensely bright event, which moved over the course of five minutes to C and D before disappearing. Image retrieved on Wikipedia, July 2015. Original image: Royal Astronomical Society
In the morning after the observation, polar lights coloured the sky all over planet Earth even at near tropical latitudes over Cuba, Hawaii and Senegal. At the same time, telegraph systems worldwide broke down, producing frightening effects such as paper starting to burn or telegraph operators suffering electrical shocks.
For the first time, scientists suspected a connection between solar activity and auroras on Earth. However, there were very few occasions for observing the phenomenon. Forecasting it was completely impossible.
It took nearly another century until a new instrument, the radio telescope, lead to the discovery of radio bursts, a phenomena apparently related to solar flares.
SOLAR FLARE PREDICTION TODAY
In the 1970s, when it became possible to send instruments to space and observe the Sun in wavelengths that don’t penetrate our planet’s atmosphere, a new area of solar research began. X-ray instruments were not only able to detect flares but also to measure their magnitude.

High solar activity in March 2015. The X-flare of March 11 was one of the biggest of solar cycle 24.. Click on the image for the current x-ray plot.
Classifying flares
Flares are classified as A-, B-, C-, M-, or X- based on their peak soft X-ray flux in the 1-8Angstrom channel measured by the GOES spacecraft. Operational space weather forecasting centres will be looking out for M- and X- class flares, as these can cause significant space weather events such as radio blackouts.
Classifying active regions
Today, space based solar observatories such as the Solar Dynamic Observatory (SDO) carry several instruments covering a wide range of wavelengths of solar emissions. The most spectacular observations are those in ultraviolet light, revealing incredible details of solar activity.

Images showing white light (top left), magnetic field (top right), EUV 171Angstrom (bottom left), and EUV 193Angstrom (bottom right), as captured by the SDO spacecraft. Source: solarmonitor.org
It is the magnetogram that is most useful for modern-day flare forecasting, which is simply an image where colour represents magnetic field strength. In the magnetogram shown in the figure above, white areas represent magnetic fields oriented toward the observer (positive field strength), and black areas represent represent magnetic fields oriented away from the observer (negative field strength).
For operational space weather centres (see examples below), the first step in forecasting a flare is to determine regions of interest from these SDO images. Forecasters will identify any features which are already having, or are likely to have, an impact on space weather conditions in the coming days. Notice in the images above that regions have been numbered according to the NOAA Space Weather Prediction Centre sunspot numbering scheme – when a new region emerges onto the solar disk it is given a number in order.
The next step is to classify the complexity of these identified active regions of interest. It is generally believed that active regions that are big, bad, and ugly are more likely to flare, i.e., they are large in size, have a history of flare activity, and are complex in nature. Quantifying this complexity is an important step in the flare forecasting process. Operational forecasters tend to use a standard sunspot group classification system which is commonly used as a ‘proxy’ for complexity.

The top row of images shows the configuration of the magnetic field in the solar atmosphere above the sunspot groups; hot, bright gas is confined to magnetic loops, much like iron filings being confined to the magnetic field of a bar magnet. The bottom row shows the magnetic ‘footprint’ of the above magnetic structures. Source: sunspotter.org
Forecasters will sort the active regions into several classes, the most simple class being ‘alpha’: one polarity of magnetic field. Slightly more complex is ‘beta’: two polarities, or bipolar. A classification of ‘gamma’ is more complex, and indicates that the polarities are mixed together (i.e., essentially that a single, fairly straight line cannot divide the regions of white and black). There are other variations of these basic classifications, that are part of the ‘Hale’ or ‘Mt. Wilson’ classification scheme. Another widely used scheme is called the McIntosh system. These systems both rely on magnetograms as well as white light images of regions to make classifications. More complex properties can also be obtained from the magnetic field information of the regions, and used to obtain a flare forecast (see, e.g., Conlon et al, Georgoulis et al, Higgins et al, Leka et al).
Calculating flare probability
Once the active regions have been classified, the next step is to calculate the probability of a flare occurring in this region over the next 24 hours. There are many ways to do this, including Bayesian methods (e.g., Wheatland et al), machine learning (e.g, Qahwaji et al), discriminant analysis (e.g., Barnes et al), and many more. For operational flare forecasting a simple statistical method is often used, along with a little human intervention. Forecasters will first rely on a large database of flare information from previous solar cycles. This database shows how many particular classes of flares (i.e, how many M or X flares) an active region of that classification produced in that time period. From this an average flare rate can be calculated, and using Poisson statistics a percentage probability of flare occurrence for the next 24 hours will be obtained for each region. See Bloomfield et al, 2012 for a more in-depth description of this method. If an operational forecaster thinks the value determined by the model is too small or too big they can change it based on their experience before issuing it. The percentages for each region can also be added to obtain the probability of a flare occurring across the entire solar disk over the next 24 hours.
THE FUTURE OF SOLAR FLARE PREDICTION
In FLARECAST, we worked on a flare forecasting system that analyses active regions automatically and verifies the forecasts in near-real-time. Active region properties were extracted from solar magnetograms and white-light images in near-realtime using advanced image-processing techniques. Once these ‘complex’ properties were extracted, they were correlated with solar flare activity and used to optimize prediction algorithms based on statistical, unsupervised clustering and supervised learning methods. This enabled us to validate our image processing and flare prediction algorithms before launching the near-realtime flare forecasting service, the first of its kind in the world. See the Research section for more details on the project.
References
- Ahmed, O. W., Qahwaji, R., Colak, T., Higgins, P. A., Gallagher, P. T., and Bloomfield, D. S., Solar Flare Prediction Using Advanced Feature Extraction, Machine Learning, and Feature Selection, 2013, Solar Physics, 283, 1, 157-175, doi: 10.1007/s11207-011-9896-1.
- Barnes, G., Leka, K. D., Schumer, E. A., and Della-Rose, D. J., Probabilistic forecasting of solar flares from vector magnetogram data, Space Weather, 5, S09002, doi: 10.1029/2007SW000317.
- Bloomfield, D. S., Higgins, P. A., McAteer, R. T. J., and Gallagher, P. T., Toward Reliable Benchmarking of Solar Flare Forecasting Methods, 2012, Astrophysical Journal Letters, 747, 2, L41, doi: 10.1088/2041-8205/747/2/L41.
- Conlon, P. A., McAteer, R. T. J., Gallagher, P. T., and Fennell, L., Quantifying the Evolving Magnetic Structure of Active Regions, 2010, Astrophysical Journal, 722, 1, 577-585, doi: 10.1088/0004-637X/722/1/577.
- Georgoulis, M. K., and Rust, D. M., Quantitative Forecasting of Major Solar Flares, 2007, Astrophysical Journal, 661, 1, 109-112, doi: 10.1086/518718.
- Higgins, P. A., Gallagher, P. T., McAteer, R. T. J., and Bloomfield, D. S., Solar Magnetic Feature Detection and Tracking for Space Weather Monitoring, 2011, Advances in Space Research, 47, 12, 2105-2117, doi: 10.1016/j.asr.2010.06.024.
- Leka, K. D., and Barnes, G., Photospheric Magnetic Field Properties of Flaring versus Flare-quiet Active Regions. IV. A Statistically Significant Sample, 2007, Astrophysical Journal, 656, 2, 1173-1186, doi: 10.1086/510282.
- Wheatland, M., A statistical solar flare forecast method, 2005, Space Weather, 3, S07003, doi: 10.1029/2004SW000131.
Current prediction centres
Some examples of operational space weather forecasting centres are listed below.
- Australian Government Bureau of Meteorology
- Korean Space Weather Center
- Met Office Space Weather Operations Centre
- NOAA Space Weather Prediction Centre
- Solar Influences Data Center
The Met Office is one of the members of the FLARECAST consortium.
See also
- The Max Millenium message of the day provides a daily analysis and flare forecast service at http://solar.physics.montana.edu/max_millennium/mmmotd_latest/index.html. You can subscribe by entering your email address in the field MMmotd at http://solar.physics.montana.edu/max_millennium/mmlists.shtml.
- spaceweather.com gives interesting news items about current space weather conditions.
- Tamitha Skov’s YouTube forecasts.