MATLAB analysis package for 'Extreme Bow Shock Motions and Magnetopause Compression During the 20 April 2002 Storm' (Cluster/ACE event analysis, figures, and Table 1
Aug 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
MATLAB analysis package accompanying the article "Extreme Bow Shock Motions and Magnetopause Compression During the 20 April 2002 Storm: Predictability Limits at an ICME Leading Edge" (T. Y. Alrefay, submitted to Earth and Space Science). The package downloads all required spacecraft data from public archives and reproduces every figure and table of the article, end to end, from a single driver script. What it does. The pipeline (1) retrieves ACE MAG/SWEPAM data and the OMNI 1-min SYM-H index from NASA/GSFC CDAWeb via the CDAS REST service, and full-resolution Cluster FGM data from the ESA Cluster Science Archive via its HAPI server; (2) performs minimum variance analysis with bootstrap uncertainty, Rankine–Hugoniot jump analysis and discontinuity classification, and four-spacecraft constant-velocity timing of bow shock crossings; (3) implements the two-anchor arrival-time reconstruction introduced in the article, propagating the interplanetary front both from the L1 monitor and from the near-Earth four-spacecraft-timed crossing, with full error budgets; (4) evaluates the Shue et al. (1998) magnetopause and Farris & Russell (1994) bow shock standoff before and after the discontinuity; and (5) computes the deterministic bow shock velocity prediction of Meziane et al. (2015, Eq. 4) for comparison with the six timed crossings. Reproduces: Figures 1–5 and Table 1 of the article. Requirements: MATLAB (base installation; no toolboxes required) and internet access for the first run's data download. Run main_analysis.m section by section; see README for details and for the mapping between scripts, figures, and table. Data sources: all input data are publicly available from CDAWeb (https://cdaweb.gsfc.nasa.gov) and the ESA Cluster Science Archive (https://csa.esac.esa.int); no spacecraft data are redistributed in this archive.
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