Quantitative Forecasting of Major Solar Flares

By Manolis K. Georgoulis, D. Rust. 2007

175 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/1082d1011e27fb00daf6a1eb97a689eeb998a77b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. G. Barnes
2. Monica G. Bobra
3. S. Couvidat
4. C. Schrijver
5. J. Todd Hoeksema
6. K. Leka
7. Yang Liu
8. Xudong Sun

In Astronomy and Astrophysics

1. Monica G. Bobra
2. C. Schrijver
3. S. Couvidat
4. M. Temmer
5. J. Todd Hoeksema
6. G. Barnes
7. Yang Liu
8. Xudong Sun

Citations in the corpus

• The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches (2014, background): “…shear angle (e.g. Hagyard et al., 1984; Leka and Barnes, 2003a, 2003b, 2007), magnetic topology (e.g. Cui et al., 2006; Barnes and Leka, 2006, Georgoulis and Rust, 2007), or the properties of active-region polarity inversion lines (e.g. Mason and Hoeksema, 2010; Falconer, Moore, and Gary,…”
• A COMPARISON OF FLARE FORECASTING METHODS. I. RESULTS FROM THE “ALL-CLEAR” WORKSHOP (2016, methodology): “Perhaps even more surprising is that WLSG2 is also strongly correlated with the parameter Beff of Georgoulis & Rust (2007), which is a measure of the connectivity of the coronal magnetic field (Figure 9, right).”
• An Observational Overview of Solar Flares (2011, background): “…such as the number of topologically distinct regions (e.g., Cui et al. 2006; Barnes & Leka 2006), and the “effective connected magnetic field” (Georgoulis & Rust2007) – shows promise, as do estimators of the global non-potentiality of the magnetic field such as the flux-normalized field…”
• The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance (2014, background): “There is an extensive literature describing potentially useful active-region indices (e.g. Leka and Barnes, 2003a, 2003b, 2007; Barnes and Leka, 2006, 2008; Falconer, Moore, and Gary, 2008; Schrijver, 2007; Mason and Hoeksema, 2010; Georgoulis and Rust, 2007).”
• Driving major solar flares and eruptions: A review (2008, background): “…study in this is the work by Barnes and Leka (2008) who evaluate the skill scores of forecasts based on four metrics: total flux, the “total excess energy” (Leka and Barnes 2003), the SPIL flux metric R (Schrijver 2007), and the “effective connected magnetic field” (Georgoulis and Rust 2007).”