2016
DOI: 10.1002/2016sw001481
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Exploration of solar photospheric magnetic field data sets using the UCSD tomography

Abstract: This article investigates the use of two different types of National Solar Observatory magnetograms and two different coronal field modeling techniques over 10 years. Both the “open‐field” Current Sheet Source Surface (CSSS) and a “closed‐field” technique using CSSS modeling are compared. The University of California, San Diego, tomographic modeling, using interplanetary scintillation data from Japan, provides the global velocities to extrapolate these fields outward, which are then compared with fields measur… Show more

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Cited by 11 publications
(20 citation statements)
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References 44 publications
(70 reference statements)
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“…By calculating the average B x and B y each as a function of the Carrington longitude in every year, we examined the correlations between the simulated and observed B x and B y as shown in Figures 3(c) and 3(d). While the correlation coefficient between the simulated and observed magnetic field component in this figure is 0.93 (0.92) for B x (B y ), indicating high correlation, the regression coefficient is 1.38 ± 0.03 (1.34 ± 0.03 ) for B x (B y ), significantly larger than 1.00, implying the underestimation of the simulated B x (B y ) on the horizontal axes [13]. This underestimation is observed in every year, while the magnitude of B x or B y changes in a positive correlation with the solar activity.…”
Section: Resultsmentioning
confidence: 83%
“…By calculating the average B x and B y each as a function of the Carrington longitude in every year, we examined the correlations between the simulated and observed B x and B y as shown in Figures 3(c) and 3(d). While the correlation coefficient between the simulated and observed magnetic field component in this figure is 0.93 (0.92) for B x (B y ), indicating high correlation, the regression coefficient is 1.38 ± 0.03 (1.34 ± 0.03 ) for B x (B y ), significantly larger than 1.00, implying the underestimation of the simulated B x (B y ) on the horizontal axes [13]. This underestimation is observed in every year, while the magnitude of B x or B y changes in a positive correlation with the solar activity.…”
Section: Resultsmentioning
confidence: 83%
“…The 3‐D reconstruction of the solar wind velocity in the UCSD time‐dependent analysis is used to forward‐model the Zhao and Hoeksema () CSSS RTN magnetic field, extending it out to the edge of the global boundary considered by the IPS analysis. As previously mentioned, more detailed descriptions are found in Dunn et al () and in Jackson et al (, ). Even though GONG synoptic maps are currently updated with a 6‐hr cadence in the UCSD time‐dependent tomography, our analysis essentially provides only background solar wind component fields.…”
Section: Tomographic Analysis and Field Extrapolation Using A Sample mentioning
confidence: 92%
“…These fields vary rather smoothly even though they are currently provided as a new source surface with a 6‐hr cadence to the UCSD 3‐D reconstructions (see section ) and are unaveraged in transit or at Earth for comparison with in situ measurements. As discussed in Jackson et al (), and known to be necessary to make field strengths match in situ measurements (e.g., Linker et al, ), GONG data are multiplied by a factor of two from the original surface fields in order to provide a more accurate amplitude comparison at Earth. In the usual CSSS modeling effort, we call “open field” in Jackson et al (), there are only radial fields present on the inner source surface.…”
Section: Introductionmentioning
confidence: 99%
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