A Characteristic Magnetic Field Pattern Associated with All Major Solar Flares and Its Use in Flare Forecasting
By C. Schrijver. 2007
349 citations recorded by the source corpus.
Subfields: Astronomy and Astrophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/28e79ea1e99866acc46a92d9eebff983eabc6f24
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In Astronomy and Astrophysics
- T. Wiegelmann
- C. Schrijver
- G. Aulanier
- M. Temmer
- P. Démoulin
- Monica G. Bobra
- S. Couvidat
- J. Todd Hoeksema
In Molecular Biology
- T. Wiegelmann
- C. Schrijver
- J. Todd Hoeksema
- P. Schuck
- Monica G. Bobra
- S. Couvidat
- Xudong Sun
- Yang Liu
Citations in the corpus
- The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches (2014, background): “For example, Schrijver (2007) defined a parameter [R] that measures the flux contribution surrounding polarity-inversion lines.”
- A COMPARISON OF FLARE FORECASTING METHODS. I. RESULTS FROM THE “ALL-CLEAR” WORKSHOP (2016, methodology): “Lines—C.Schrijver In Schrijver (2007), a parameter was proposed as a proxy for the emergence of current-carrying magnetic flux, i.e., magnetic systems with significant free magnetic energy which would be carried through the photosphere and into the solar corona, enabling solar flares.”
- 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).”
- Nonlinear Force-free Field Modeling of a Solar Active Region around the Time of a Major Flare and Coronal Mass Ejection (2007, background): “…of preexisting magnetic flux by plasma flows on the surface (e.g., Leka et al. 1996; Wheatland 2000; Démoulin et al. 2002b, 2002a; Falconer et al. 2002; Leka & Barnes 2003a, 2003b; Schrijver et al. 2005; Wiegelmann et al. 2005; Régnier & Canfield 2006; Jing et al. 2006; Schrijver 2007).”
- MAGNETIC PROPERTIES OF SOLAR ACTIVE REGIONS THAT GOVERN LARGE SOLAR FLARES AND ERUPTIONS (2016, background): “In the δ-spots, the neighboring polarities are likely to possess a strong-field, highgradient, highly sheared polarity inversion line (PIL), which indicates the existence of intense currents that can store free magnetic energy above in the corona (Schrijver 2007).”
- The Origin, Early Evolution and Predictability of Solar Eruptions (2018, methodology): “Schrijver (2007) conducted a statistical study of the magnetic properties of active regions associated with almost 300 M- and X-class flares, in comparison with 2,500 randomly selected active regions.”
- Quantitative Forecasting of Major Solar Flares (2007, background): “Only very recently, Schrijver (2007) described a single photospheric metric, namely, the unsigned magnetic flux within 15 Mm from a polarity inversion line, that shows some forecasting capability.”
- WHY IS THE GREAT SOLAR ACTIVE REGION 12192 FLARE-RICH BUT CME-POOR? (2015, methodology): “It resembles the mask in Schrijver (2007), but includes only the part directly involved in a particular flare.”
- MAGNETIC FIELD STRUCTURES TRIGGERING SOLAR FLARES AND CORONAL MASS EJECTIONS (2012, background): “…foot point motion (Inhester et al. 1992; Forbes & Priest 1995; Amari et al. 2003a,b; Cheng et al. 2010), the sharp gradient of magnetic field (Schrijver 2007), emerging magnetic fluxes (Heyvaerts, Priest & Rust 1977; Moore & Roumeliotis 1992; Feynman & Martin 1995; Chen & Shibata 2000; Fan &…”
- Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm (2017, methodology): “The R_VALUE parameter was shown to be effective in forecasting major flares (Schrijver 2007; Welsch et al. 2009).”
- Space weather: the solar perspective (2021, background): “…flares seems to be more easily achievable compared to flares of medium to low energy, however, the uncertainties coming from the statistical approach are rather large preventing from more accurate single event prediction (see e.g., Schrijver 2007; Georgoulis and Rust 2007; Bloomfield et al. 2012).”
- SOLAR FLARE PREDICTION USING SDO/HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM (2014, methodology): “We calculate R using the exact same methodology as Schrijver (2007), who used the line-of-sight component of the magnetic field.”
- Driving major solar flares and eruptions: A review (2008, methodology): “This is the only documentated case I found for which a major flare in soft X-rays occurred in a spotless region; all of the 289 M- and X-class flares, for example, that were studied by Schrijver (2007) – which were the basis of the study resulting in Fig.”