A regional space weather hazard variation index utilising Swarm FAST data

Orr, Lauren ORCID: https://orcid.org/0000-0002-8257-1362; Beggan, Ciaran ORCID: https://orcid.org/0000-0002-2298-0578; Brown, William ORCID: https://orcid.org/0000-0001-9045-9787. 2024 A regional space weather hazard variation index utilising Swarm FAST data [in special issue: Topical Issue - Swarm 10-Year Anniversary] Journal of Space Weather and Space Climate., 14, 30. https://doi.org/10.1051/swsc/2024033

Before downloading, please read NORA policies.

Text (Open Access Paper) swsc240028.html - Published Version Available under License Creative Commons Attribution 4.0. Download (231kB)

Abstract/Summary

We develop a new method for the determination of a regional hazard indicator using Swarm satellite near-real-time Fast Track (‘FAST’) data based on pre-computed threshold exceedances. The European Space Agency (ESA) aim to deliver the FAST data promptly (currently twice daily) compared to the standard four-day lag with Swarm operational (‘OPER’) data. This provides an opportunity to map localized intense field variation during geomagnetic storms in areas without fixed ground-based magnetometers. To determine the location-dependent threshold above which we consider the magnetic field to be highly active, we compute the 20-s standard deviation of the magnetic field along the track and create baseline thresholds derived from 10 years of Swarm data. Using the standard 1 Hz Level1b LR MAG product, we first remove models of the core, crust and magnetosphere before analysing the ionospheric residuals to determine geomagnetically quiet and active thresholds. We bin the residuals into 20,840 quasi-uniform grid cells globally and compute the typical magnetic field variance expected in each cell. From the binned magnetic variances, we can determine thresholds for exceedance e.g. at the 99th percentile in each grid cell. If the value of the magnetic variation computed from Swarm FAST data, using the same method, exceeds the pre-determined thresholds within the bin, this indicates a highly variable magnetic field in the region, implying a localized increase in space weather hazard risk in regions without ground observatories. We present our Swarm-specific index which we can compare to other geomagnetic indices such as Kp. Our index compares well to Kp and the higher-cadence Hp60 and captures activity levels during both geomagnetic storms and quiet times. Using FAST data, we can quickly quantify the hazard on a per-orbit (or shorter) basis, thus providing as close to real-time geomagnetic activity monitoring as presently feasible. The methodology can also be used by other satellite missions surveying magnetic fields.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1051/swsc/2024033
NORA Subject Terms:	Space Sciences
Date made live:	15 Nov 2024 13:59 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/538384

Actions (login required)

View Item

Document Downloads

More statistics for this item...