nerc.ac.uk

A novel weighting method for satellite magnetic data and a new global magnetic field model

Thomson, Alan W.P.; Hamilton, Brian; Macmillan, Susan; Reay, Sarah J.. 2010 A novel weighting method for satellite magnetic data and a new global magnetic field model. Geophysical Journal International, 181 (1). 250-260. https://doi.org/10.1111/j.1365-246X.2010.04510.x

Before downloading, please read NORA policies.
[img]
Preview
Text
EHS_AThomson_3.pdf

Download (1MB) | Preview

Abstract/Summary

A new data weighting scheme is introduced for satellite geomagnetic survey data. Data weights for individual satellite samples at 20-s spacing are derived from two ‘noise’ (or unmodelled signal) estimators for the sample. First, the standard deviation along the 20 s of satellite track, centred on each sample, is computed as a measure of local magnetic activity. Second a larger-scale noise estimator is defined in terms of a ‘local area vector activity’ (LAVA) index for the sample. This is derived from activity measured at the geographically nearest magnetic observatories to the sample point. Weighting of the satellite data by the inverse-sum-of-squares of these noise estimators then leads to a robust model of the field, the ‘Model of Earth’s Magnetic Environment 2008’, or MEME08, to about spherical harmonic degree 60. Our approach allows vector samples of the field to be used at all magnetic latitudes and, for example, results in a lithospheric magnetic field model with low spectral noise, comparable with other recent global models. We also do not require a particularly complex model parametrization, regularization, or prior data correction to remove estimates of unmodelled source fields.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1111/j.1365-246X.2010.04510.x
Programmes: BGS Programmes 2010 > Earth hazards and systems
ISSN: 0956-540X
Additional Keywords: geomagnetism, satellite magnetics
NORA Subject Terms: Earth Sciences
Date made live: 13 May 2010 08:17 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/9842

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...