Statistics – Computation
Scientific paper
Apr 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008jgra..11304217g&link_type=abstract
Journal of Geophysical Research, Volume 113, Issue A4, CiteID A04217
Statistics
Computation
3
Magnetospheric Physics: Plasma Sheet, Magnetospheric Physics: Plasma Convection (2463), Computational Geophysics: Model Verification And Validation, Magnetospheric Physics: Magnetotail, Magnetospheric Physics: Numerical Modeling
Scientific paper
We characterize the variability of central plasma sheet bulk flows with a 6-year Geotail data set and a 2-month Lyon-Fedder-Mobarry (LFM) global MHD simulation at two spatial resolutions. Comparing long databases of observed and simulated parameters enable rigorous statistical tests of the model's ability to predict plasma sheet properties during routine driving conditions and represent a new method of global MHD validation. In this study, we use probability density functions (PDFs) to compare the statistics of plasma sheet velocities in the Geotail observations with those in the LFM simulations. We find that the low-resolution model grossly underestimates the occurrence of fast earthward and tailward flows. Increasing the simulation resolution inherently changes plasma sheet mass transport in the model, allowing the development of fast, bursty flows. These flows fill out the wings of the velocity distribution and bring the PDF into closer agreement with observations.
Goodrich Charles Carson
Guild Timothy B.
Kepko Larry E.
Lyon John G.
Merkin Viacheslav
No associations
LandOfFree
Geotail and LFM comparisons of plasma sheet climatology: 2. Flow variability 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 Geotail and LFM comparisons of plasma sheet climatology: 2. Flow variability, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Geotail and LFM comparisons of plasma sheet climatology: 2. Flow variability will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1703851