New method proposed to predict solar flares
Researchers have tested the reliability of seven techniques against their record of predicting flares and non-flare events correctly, as well as their history of missed flares and false alarms.
Washington: Researchers at Trinity College Dublin, Ireland, have tested the reliability of seven techniques against their record of predicting flares and non-flare events correctly, as well as their history of missed flares and false alarms.
When the predictions were put into context of the Sun`s activity levels over time, some of the most seemingly successful techniques slid down the table.
Solar flares are sudden and dramatic releases of energy from the Sun`s atmosphere in the form of radiation and electrically charged particles.
These eruptions are associated with many aspects of `space weather`, which can damage satellites and interfere with communications, navigations and power systems. In our technology-dependent society, accurate advanced warning of solar flare occurrence is an area of increasing concern.
"The most important aspect of any type of forecast is how it performs," Dr. D. Shaun Bloomfield said.
"If we always say, `flare expected today`, we will have successfully predicted all flares. However, we would be crying wolf and be completely wrong on most days, as flares can occur quite far apart in time.
"We need be accurate in both our predictions of when flares will occur and when they won`t for this to be of real value to society," he said.
Bloomfield and his colleagues compared seven different systems for predicting solar flares: two of these used images showing the structure of sunspots; the other five used a variety of parameters relating to the magnetic field, including maximum field strength, total flux and strengths of gradients.
The source data came from a range of ground based and space based solar telescopes, including SOHO.
In the past, solar flare forecasts have generally been tested over periods of time containing different amounts of flare activity.
Bloomfield and his colleagues found that the previous standard system for rating flare forecasts was very sensitive to the relative activity levels between testing periods.
The team suggest that the `True Skill Statistic` (TSS) should be adopted as the new standard rating for solar flare prediction systems.
TSS is calculated from the fraction of correct flare forecasts out of all flares observed, minus the fraction of false alarms out of all non-flares observed.
"The benefit of the TSS over other ratings methods is that it is not changed by the number of flares or non-flares observed. We can make a proper comparison of forecast systems, regardless whether they have made 50 or 5000 predictions. Even so, surveys with small data sets are still prone to noise and their results must be considered less reliable," Bloomfield said.