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20112015
most citedPressure balance at the magnetopause: Experimental studies

94 citations · 469 across the 15 of their papers we have counts for

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Showing 2013Show all

9 papers · 1 filter

physics.space-ph2013★ 45 cited

TEC evidence for near-equatorial energy deposition by 30-keV electrons in the topside ionosphere

A. V. Suvorova, A. V. Dmitriev, L. -C. Tsai +4

Observations of energetic electrons (10 - 300 keV) by NOAA/POES and DMSP satellites at heights <1000 km during the period from 1999 to 2010 allowed finding abnormal intense fluxes…

physics.space-ph2013★ 31 cited

A Predictive Model of Geosynchronous Magnetopause Crossings

A. Dmitriev, A. Suvorova, J. -K. Chao

We have developed a model predicting whether or not the magnetopause crosses geosynchronous orbit at given location for given solar wind pressure Psw, Bz component of interplanetar…

physics.space-ph2013★ 94 cited

Magnetopause expansions for quasi-radial interplanetary magnetic field: THEMIS and Geotail observations

A. V. Suvorova, J. -H. Shue, A. V. Dmitriev +7

We report THEMIS and Geotail observations of prolonged magnetopause (MP) expansions during long-lasting intervals of quasi-radial interplanetary magnetic field (IMF) and nearly con…

physics.space-ph2013★ 60 cited

Traveling magnetopause distortion related to a large-scale magnetosheath plasma jet: THEMIS and ground-based observations

A. V. Dmitriev, A. V. Suvorova

Here, we present a case study of THEMIS and ground-based observations on the dayside magnetopause, and geomagnetic field perturbations related to the interaction of an interplaneta…

physics.space-ph2013★ 5 cited

Equatorial trench at the magnetopause under saturation

A. Dmitriev, A. Suvorova

Magnetic data from GOES geosynchronous satellites were applied for statistical study of the low-latitude dayside magnetopause under a strong interplanetary magnetic field of southw…

physics.space-ph2013

Three-dimensional artificial neural network model of the dayside magnetopause

A. V. Dmitriev, A. V. Suvorova

Artificial Neural Networks (ANN) from package NeuroShell 2 are applied for modeling of dayside magnetopause. The model data set is based on the magnetopause crossings and on the co…