A model for transition fields during geomagnetic reversals

Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Scientific paper

Palaeomagnetic studies of the reversal of the geomagnetic field have produced a number of palaeomagnetic records of intermediate or transition fields during reversals. These transition fields may provide an important clue as to the nature of the geodynamo. During the last reversal, the geomagnetic field was no longer dipolar1, but the field appeared to be dominated by low-order harmonics2-4. Such transition-field geometries predict that all palaeomagnetic records will include high inclinations of either + or - 90°, which give the virtual geomagnetic pole paths passing through the site or its antipode. Subsequently, when transition records were found not showing these characteristics, the idea of the dominance of low-order zonals was questioned. Here we show that if the low-order zonals are combined with a drifting non-dipole field, similar to that seen at present, most of the features of reversal transitions can be simulated. We therefore suggest that low-order zonals may indeed dominate transition fields, but they are accompanied by some form of drifting non-dipole field.

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

A model for transition fields during geomagnetic reversals 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 A model for transition fields during geomagnetic reversals, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A model for transition fields during geomagnetic reversals will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-850169

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