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Solar Flare Forecasting

Solar flares are very hard to predict because they depend on what the sun's magnetic field is doing, and scientists don't fully understand what triggers a flare. the most common things we look for as clues to future flaring activity are sunspots and the shapes of their magnetic fields. The bigger they are and the more complex they look, the greater the chance for a flare.

Here is a summary of the links you will need to investigate solar flares:


National Solar Observatory Solar Monitor
Mees Observatory Rabin Systems Solar Monitor
NOAA Archive of Solar Data NOAA X-ray Monitor
NASA Student Observation Network

Here is a four-step introduction to solar flare forecasting:

Step 1: Are there any sunspots? The basic rule of thumb is that, if there are no sunspots, or if the sunspots are very small, it is unlikely that the conditions are present for solar storms that could trigger bad space weather here at Earth. Visit the National Solar Observatory or the Big Bear Solar Observatory links to get the latest image of the sun, and check for sunspots. Also visit the NOAA archive of solar data which summarizes the last 30 days of flares, sunspots and sunspot area. Class 3 spots are very good candidates for powerful solar flares. Class 1 spots are not very good candidates for big flares, but could produce some minor flaring activity. Here is a suggested scale from archived Mees Observatory images:

Class 1: A few spots but not very large

Class 2: A medium-sized spot, or large group

Class 3: One or more very large spots

Step 2: How magnetically complex are the spots? The more tangles the magnetic field, the greater is the likelyhood that it will try to unravel itself and release bursts of energy. Have a look at the Solar Monitor at NASA. It shows full-sun views that highlight the most active regions and sunspots. By selecting each image you can also find the assigned numbers for each active region. You should use these to track an active region as it evolves with time. The two images you should look at are the x-ray image and the magnetogram image which look like the ones below:

X-ray image showing active regions.

Magnetogram image

Look for the brightest and largest regions like the three shownb in the above images. These are good candidates for flares. At the Solar Monitor, you can click on the magnetogram image to open an enlarged image. Then, click on the active region and an enlargement of that area will open as shown below:



Black denotes a North-type polarity .White denotes a South-type polarity. The above image of Active regions 10885 and 10884 show that they are close together, but the white and black regions are mostly far apart. When large distinct white regions become close together, they can form flaring regions. Visit the Rabin Systems solar activity summary to read the latest report about the complexity of each active region. The above active regions had magnetic fields classified as 'Beta', and had produced two B-class solar flares.

Sunspot magnetic fields are classified by the Greek letters Alpha through Gamma, with mixtures like 'Beta-Gamma' also possible for the more complex sunspot groups:

alpha: A unipolar sunspot group. It seems to have only one polarity (all black or all white)

beta: A sunspot group having both North and South magnetic polarities (bipolar), with a simple and distinct division between the polarities. (See the magnetogram above)

gamma: A complex active region in which the North and South polarities are so irregularly distributed as to prevent classification as a bipolar group.

delta: A qualifier to magnetic classes indicating that the dark sunspot regions (the Umbra) are very close together and share a common penumbra and have opposite polarity.

Step 3: Is there any X-ray activity from the sunspot region? Usually an active region produces several flares over its lifetime, which can last from a few days up to two weeks. Many satellites monitor the sun's X-ray output. Visit the NOAA X-ray monitior to see the last few days of activity, which you will see in plots like the one below. The vertical 'spikes' show x-ray flares. The letters A, B, C, M and X on the far-left edge of the plot are the classes for the flares .The flares seen on May 22 was a Class-B flare. the most powerful, and rare, flares are Class-X.



Visit the NOAA log of solar activity to see which flares have happened during the last 30 day, and which active regions were involved. Our two examples above, AR10884 and AR10885 are show in the sample listing below:

6520 + 1333 1338 1344 G12 5 XRA 1-8A B1.8 9.3E-05 0884
6520 1339 1341 1343 G12 5 XFL S12E03 1.3E+02 2.2E+02 0884

6530 + 1348 //// 1349 SVI C RSP 025-072 III/1

6540 + 1523 1528 1533 G12 5 XRA 1-8A B2.2 1.1E-04 0885
6540 1528 1532 1532 G12 5 XFL S10E08 3.3E+02 6.2E+02 0885

6550 + 1635 1641 1646 G12 5 XRA 1-8A B5.0 2.2E-04 0884
6550 1639 1645 1645 G12 5 XFL S12E01 7.8E+02 1.9E+03 0884

6560 + 1809 1815 1824 G12 5 XRA 1-8A B1.4 1.1E-04

On May 23, 2006 AR10884 had two solar flares of class B1.8 and B5.0. The region AR10885 had one solar flare of class B2.2.


Step 4: Now make your forecast! After looking through the above information for today, try to predict if there will be a solar flare tomorrow, and whether it will be a small flare (Class A, B, C) a medium-sized flare (Class M) or a very powerful flare (Class-X). Keep track of your predictions and what the actual flares were that were seen by NOAA satellites. Can you create a strategy for improving your accuracy for a 24-hour flare forecast? A 3-day forecast? A one-week forecast? Most professional forecasts have about a 50/50 chance of predicting the next flare strength (C, M or X) correctly. How close can you get to this success rate?


Additional Resources:IMAGE Tracking a solar storm. A PDF file that introduces more advanced approaches to solar storm tracking, developed by the IMAGE satellite program. See also their illustrated guide with more details.

NASA Student Observation Network. Developed by NASA educators, this is a comprehensive introduction to solar storm tracking in which students may network across the world to make and log their own forecasts using an extensive collection of satellite and ground-based data from online sources ,as well as student-built instruments.

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Last Updated:
January 14, 2008