The BGS magnetic field candidate models for the 11th generation IGRF

Mathematics – Logic

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

1

Scientific paper

We describe the British Geological Survey's 11th generation International Geomagnetic Reference Field candidate models. These models are based on a 'parent model' consisting of a degree and order 60 spherical harmonic expansion of selected vector and scalar magnetic field data from satellite and observatory sources within the period 1999.0 to 2010.0. The parent model's internal field time dependence for degrees 1 to 13 is represented by linear spline with knots 400 days apart. The parent model's degree 1 external field time dependence is described by periodic functions for the annual and semi-annual signals, and by dependence on the 20-minute Vector Magnetic Disturbance index. Signals induced by these external fields are also parameterised. Satellite data are weighted according to two noise estimators. Firstly by standard deviation along segments of the satellite track and secondly a larger-scale noise estimator defined in terms of a vector activity measure at the geographically closest magnetic observatories to the sample point.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The BGS magnetic field candidate models for the 11th generation IGRF does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The BGS magnetic field candidate models for the 11th generation IGRF, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The BGS magnetic field candidate models for the 11th generation IGRF will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1230799

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.