NSF award 2524858 · Johns Hopkins University

EAGER: Machine Learning (ML)-based Geomagnetic Field Reconstruction Framework

Final report due

28 October 2028

in 740 days · The award ends on 30 June 2028.

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award ending 2028-06-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Oct 2028in 740 days
award ending 2028-06-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Oct 2028in 740 days
award ending 2028-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2028in 740 days
award ending 2028-06-30 · Research.gov
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So the final report is due by 28 October 2028.

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Award card

Award number: 2524858
Period of support: 1 Jul 2026 – 30 Jun 2028
Amount: $300,000
Awardee: Johns Hopkins University, Baltimore, MD
Program: MAGNETOSPHERIC PHYSICS
Directorate: GEO

Abstract

Magnetic storms dramatically alter Earth’s magnetosphere while transferring energy from the solar wind into the near-Earth environment. Understanding such processes requires a quantitative description of the geomagnetic field and electric currents. However, this is difficult because the magnetosphere is vast and only sparsely sampled by spacecraft. Traditional empirical magnetic field models provide useful…

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