Frontiers in Astronomy and Space Sciences (Aug 2024)

Crucial future observations and directions for unveiling magnetopause dynamics and their geospace impacts

  • Martin O. Archer,
  • Xueling Shi,
  • Xueling Shi,
  • Maria-Theresia Walach,
  • Michael D. Hartinger,
  • Michael D. Hartinger,
  • D. Megan Gillies,
  • D. Megan Gillies,
  • Simone Di Matteo,
  • Simone Di Matteo,
  • Frances Staples,
  • Katariina Nykyri

DOI
https://doi.org/10.3389/fspas.2024.1430099
Journal volume & issue
Vol. 11

Abstract

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The dynamics of Earth’s magnetopause, driven by several different external/internal physical processes, plays a major role in the geospace energy budget. Given magnetopause motion couples across many space plasma regions, numerous forms of observations may provide valuable information in understanding these dynamics and their impacts. In-situ multi-point spacecraft measurements measure the local plasma environment, dynamics and processes; with upcoming swarms providing the possibility of improved spatiotemporal reconstruction of dynamical phenomena, and multi-mission conjunctions advancing understanding of the “mesoscale” coupling across the geospace “system of systems.” Soft X-ray imaging of the magnetopause should enable boundary motion to be directly remote sensed for the first time. Indirect remote sensing capabilities might be enabled through the field-aligned currents associated with disturbances to the magnetopause; by harnessing data from satellite mega-constellations in low-Earth orbit, and taking advantage of upgraded auroral imaging and ionospheric radar technology. Finally, increased numbers of closely-spaced ground magnetometers in both hemispheres may help discriminate between high-latitude processes in what has previously been a “zone of confusion.” Bringing together these multiple modes of observations for studying magnetopause dynamics is crucial. These may also be aided by advanced data processing techniques, such as physics-based inversions and machine learning methods, along with comparisons to increasingly sophisticated geospace assimilative models and simulations.

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