Potential-field source-surface model

From Wikipedia, the free encyclopedia

Origin1969
Key peopleKenneth Schatten, John Wilcox, Norman Ness; Martin Altschuler, Gordon Newkirk
PurposeModeling the solar coronal magnetic field and predicting solar wind properties
Potential-Field Source-Surface Model
FieldSolar physics, Space weather
Origin1969
Key peopleKenneth Schatten, John Wilcox, Norman Ness; Martin Altschuler, Gordon Newkirk
PurposeModeling the solar coronal magnetic field and predicting solar wind properties

The potential-field source-surface model (PFSS) is a widely used coronal magnetic field model that assumes the magnetic field in the solar corona is current-free up to a spherical outer boundary, the "source surface," where field lines are forced to be radial to mimic the action of the solar wind.[1][2] In practice, the source-surface radius is often taken to be about 2.5 R solar radii, a value that emerged from eclipse constraints and comparisons with interplanetary measurements and that later studies found to work well for many rotations.[2][3][4] Solar physicists use PFSS to map open magnetic field regions that correlate with coronal holes, to estimate the heliospheric current sheet shape, and to drive space-weather models of the solar wind.[5][6]

Two groups introduced the approach in 1969. Kenneth Schatten, John Wilcox, and Norman F. Ness linked photospheric fields to a notional outer "source surface" and showed that the sector structure of the interplanetary magnetic field reflects the polarity pattern at that surface.[1] Martin Altschuler and Gordon Newkirk developed spherical-harmonic methods to solve Laplace's equation, and proposed setting the scalar potential to a constant on a spherical surface around 2.5 solar radii to capture the corona's transition to a solar-wind-dominated regime.[2] J. Todd Hoeksema compared PFSS predictions with interplanetary magnetic field observations and found an optimal source-surface radius near 2.5 ± 0.25 solar radii for many intervals in solar cycle 21 (1976–1986).[3][4]

During the 1990s, Y.-M. Wang and N. R. Sheeley Jr. connected PFSS open-flux geometry to solar wind speed, which underpinned the Wang–Sheeley–Arge forecasting framework that pairs a PFSS coronal solution with empirical wind-speed relations.[5][6]

Model

A synoptic magnetogram from the Helioseismic and Magnetic Imager aboard the Solar Dynamics Observatory, showing the radial magnetic field at the solar photosphere used as input for PFSS models,

PFSS assumes a quasi-static, current-free magnetic field from the photosphere () to a spherical "source surface" at ().

The magnetic field is written as the gradient of a scalar potential, (), with () in the modeling shell.

Boundary conditions are

  • at , the radial field matches a synoptic magnetogram map of the photosphere
  • at , the field is purely radial, so , which is equivalent to constant on the source surface.[2][5]

With these conditions, the solution can be expanded in spherical harmonics,

and the coefficients and are determined by matching the observed photospheric and enforcing vanishing tangential components at .[2][7]

Two families of numerical solvers are commonly used. Many implementations employ a spherical-harmonic expansion with a truncation () determined by the input map resolution. However, these methods can produce ringing artifacts near sharp magnetic structures and exhibit sensitivity at high latitudes.[5][7] Finite-difference solvers, which operate on remeshed latitude grids or deformed spherical grids, help mitigate these artifacts and allow for non-spherical outer boundaries.[7][8]

PFSS solutions are driven by synoptic magnetograms assembled from line-of-sight magnetic field measurements. Common data sources include the Wilcox Solar Observatory, NSO GONG, SOHO/MDI, and SDO/HMI magnetogram maps.[5][4] Operational and research software packages include the SolarSoft PFSS package maintained by Marc DeRosa and collaborators,[9] NASA CCMC's PFSS 1.0 service,[10] and the open-source Python library pfsspy.[11]

Several extensions to the basic PFSS model have been developed to relax its assumptions and better match specific observational data. The Schatten current-sheet source-surface (CSSS) and related models incorporate sheet and volume currents above the potential field domain to better represent the heliospheric current sheet and reduce discrepancies in open magnetic flux calculations.[12] The source-surface geometry has also been generalized beyond a simple sphere, including oblate or prolate shapes that can improve agreement with white-light coronal streamers and in situ magnetic sector structure for some solar rotations.[13] Studies have also suggested that the source-surface height varies with the solar cycle, creating a "breathing source surface" that is positioned at lower heights near solar minima and higher heights near solar maxima.[14][15]

Validation and performance

See also

References

Related Articles

Wikiwand AI