Graph-based Detection of Ionosphere Perturbations Using Dense GPS Networks

A. Komanduru; J. L. Garrison; J. B. Snively; M. P. Hickey

Graph-based Detection of Ionosphere Perturbations Using Dense GPS Networks

A. Komanduru
, J. L. Garrison
, J. B. Snively
, M. P. Hickey

Embry-Riddle Aeronautical University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	AGUFM
Volume	2019
State	Published - Dec 1 2019

Disciplines

Other Applied Mathematics
Computer Sciences

Cite this

@article{fa31d94f660d49ab9244b33542ad02c6,

title = "Graph-based Detection of Ionosphere Perturbations Using Dense GPS Networks",

author = "A. Komanduru and Garrison, \{J. L.\} and Snively, \{J. B.\} and Hickey, \{M. P.\}",

note = "Disturbances in the ionosphere can be induced from seismic events and space weather phenomena. These disturbances can be observed as perturbations in Total Electron Content (TEC) obtained as a derived product of dual frequency GPS measurements.",

year = "2019",

month = dec,

day = "1",

language = "American English",

volume = "2019",

journal = "AGUFM",

}

TY - JOUR

T1 - Graph-based Detection of Ionosphere Perturbations Using Dense GPS Networks

AU - Komanduru, A.

AU - Garrison, J. L.

AU - Snively, J. B.

AU - Hickey, M. P.

N1 - Disturbances in the ionosphere can be induced from seismic events and space weather phenomena. These disturbances can be observed as perturbations in Total Electron Content (TEC) obtained as a derived product of dual frequency GPS measurements.

PY - 2019/12/1

Y1 - 2019/12/1

UR - https://ui.adsabs.harvard.edu/abs/2019AGUFMNH33C0928K/abstract

M3 - Article

VL - 2019

JO - AGUFM

JF - AGUFM

ER -

Graph-based Detection of Ionosphere Perturbations Using Dense GPS Networks

Disciplines

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