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Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 27 (2026-03-12)

Authors: Kim, Tae K.;

The UAH Predictions of the Solar Wind and Magnetic Field at the Parker Solar Probe during Solar Encounter 27 (2026-03-12)

Abstract

1. Model The MS-FLUKSS heliospheric MHD model is coupled with the WSA model (Kim et al. 2020), which used ADAPT-GONG input magnetograms, with the PFSS source surface height and the WSA outer boundary at 2.5 and 9 solar radii, respectively. The MHD model propagates the solar wind from 9 solar radii to 236 solar radii (1.1 AU) to fully enclose the PSP trajectory. Hence, field line tracing from PSP to the solar surface is performed through the MHD domain down to 9 solar radii instantaneously at approximately 1 hour cadence, where the origin of the field line on the photosphere is already known in the WSA model. See Badman et al. (2023) for details. MS-FLUKSS: Multi-Scale Fluid-Kinetic Simulation Suite MHD: Magnetohydrodynamic WSA: Wang-Sheeley-Arge ADAPT: Air Force Data Assimilative Photospheric flux Transport GONG: Global Oscillation Network Group PFSS: Potential Field Source Surface PSP: Parker Solar Probe 2. Data There is one set of data files as described below: (A) "PSP_AGONG_R000.dat" - "PSP_AGONG_R011.dat": MS-FLUKSS simulation results extracted along the PSP trajectory labeled by the input magnetogram (each of the 12 realizations of ADAPT-GONG) for the WSA model. Each data file consist of a header and 16 columns of numerical values in the following order: (1) Time (fractional year) (2) Heliocentric distance (AU) (3) MS-FLUKSS longitude (rotated by ~180 degrees from inertial heliographic longitude in degrees) (4) MS-FLUKSS latitude (same as heliographic latitude in degrees) (5) Solar wind proton number density (cm^-3) (6) Solar wind Vr (km/s) (7) Solar wind Vphi (km/s) (8) Solar wind Vtheta (km/s) (9) Thermal pressure of solar wind and interstellar pickup ion mixture (picodyne/cm^2) (10) Br (microgauss) (11) Bphi (microgauss) (12) Btheta (microgauss) (13) Level set value for tracking the heliospheric current sheet (14) Level set value for tracking the initial MS-FLUKSS longitude at the inner boundary (15) Level set value for tracking the initial MS-FLUKSS latitude at the inner boundary (16) Solar wind temperature. (B) "UAH_psp_e27_20260312*_agongWSAmhd.csv": Carrington longitude and latitude of the predicted magnetic footpoint from 2026-03-12 to 2026-03-21. Each data file consists of 4 columns of numeric values in the following order: (1) Date (YYYY-MM-DD) (2) Time (hh:mm:ss in UT) (3) Carrington longitude (degree) (4) Carrington latitude (degree) 3. Figures There is a pdf file showing plots of predicted Br, Vr, density, and temperature at PSP for the 12 realizations:: uah_psp_e27_20260312_agongWSAmhd.pdf. A plot showing the footpoint prediction results projected onto the solar disk is available at the PSP science gateway (https://psp-gateway.jhuapl.edu/website/SciencePlanning/MissionEvents/, under “Encounter 27”) and the Whole Heliosphere and Planetary Interactions Campaigns (https://whpi.hao.ucar.edu/whpi_campaign-psp27p.php).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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