Multipoint Cluster Observations of the Dayside Magnetopause

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2724 Magnetopause, Cusp, And Boundary Layers

Scientific paper

We survey the magnetopause crossings observed by Cluster, including those relating to regions adjacent to the cusp, in terms of the structure of the boundary layer and both its location and dynamic response to external conditions. Case studies of a number of crossings are presented in which the nature of the current layer, plasma transport and signatures of magnetic reconnection in the magnetopause boundary layer are investigated with the four-spacecraft data. Careful use of multi-spacecraft techniques which measure the current density and boundary shape and motion, in combination with field and plasma data enhances the determination of processes and local properties. For example, accurate computation of boundary orientation and motion, and deviation from planarity, are possible and the local direction of the magnetopause current can be determined and compared to plasma density and flows. Moreover, determination of the shape of the magnetopause at high latitude, particularly near the cusp indentation, is carried out.

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

Multipoint Cluster Observations of the Dayside Magnetopause 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 Multipoint Cluster Observations of the Dayside Magnetopause, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multipoint Cluster Observations of the Dayside Magnetopause will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1382651

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