Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
Workshop on Science Applications of GNSS in Developing Countries (11-27 April), followed by the: Seminar on Development and Use of the Ionospheric
NeQuick Model (30 April-1 May)
11 April - 1 May, 2012
Institute for Scientific Research Boston CollegeSt. Clement's Hall
140 Commonwealth AvenueCHESTNUT HILL MA 02467-3862
MassachusettsU.S.A.
AMBER Magnetometers Network and Longitudinal Differences of Equatorial Electrodynamics and Ionospheric Vertical Density Distribution
YIZENGAW KASSIE Endawoke
SMR 2333-34
A M B E R Magnetometers Network and Longitudinal Differences of Equatorial
E lectrodynamics and Ionospheric Vertical Density Distr ibution
Endawoke Yizengaw
Institute for Scientific Research, Boston College
Special Thanks to: M . Moldwin (U M); E . Zesta (A F R L); B . Damtie (BDU ,
E thiopia); A . M ebrhtu (M U , E thiopia); C . Mabene (U Y, Cameroon); B . Rabiu (N ASRD A . Nigeria); C . Valladares (B C); and R . Pfaff (N ASA Goddard)
Outline
E EJ (ExB drift) longitudinal difference
Vertical density structures using tomography
Day-to-day variability of the ionosphere
Future direction
Instruments Network: Past Instrumentation in A frica: past and present
A M B E R magnetometer ar ray
Instruments Network: Present
the processes governing electrodynamics of the equatorial ionosphere as a function of local time, longitude, magnetic activity, and season, and
U L F pulsation strength and its connection with equatorial electrojet strength at low/mid-latitude regions.
A M B E R (African Meridian B-field Education and Research)
Objective of A M B E R magnetometer A r ray
Surge Only
Surge and Battery Backup
Transformer
Router To Network
Adapter
Mag/Sensor Setup Diagram
Full setup Full Setup
Setup at the Site
Sensitivity: 0.01 nT Time resolution: 0.5 sec
What does the magnetometer Observes?
Examples of A M B E R data coverage
A lgeria Cameroon
Real time data flow from Africa and South America
Cameroon
Cameroon
E EJ Estimation using magnetometers
- - -
+ + + + + + + + + + + +
- - - - - - - - - - - -
100 km
120 km
-3.0ºN
3.0ºN
The solar-driven neutral wind results Sq current system and then east-west polarization E-field in the E-region.
A t the magnetic dip equator, the resulting upward E x B drift moves negative charge at the top and a positive at the bottom of the E-region.
The resulting E-field prevents electrons to be drifted further upward, instead, they are propelled westward by the eastward E-field. This forms an eastward electr ic current flow within 3.0º of the magnetic equator, which is called the Equatorial E lectrojet (E EJ)
Equatorial E lectrojet (E EJ) formation
Longitudinal E EJ Variations
Disturbances due to geomagnetic impact
Disturbances due to E EJ
On H-components at the equator and off the equator
Only on H-component at the equator
Comparison with other observations C/N O FS - A frica C/N O FS - America with JU L I A
JU L I A 150 K M 250-300 450-500
550-600
U L F wave related equatorial vertical drift and density fluctuation study
African sector Band-pass filtered drift shows U L F wave
JU L I A 150 K M
Vertical Drift and Density F luctuation
JU L I A 150 K M
JU L I A 150 K M
Magnetometer estimated JU L I A 150 K M
Equatorial Vertical Drift F luctuation East A frica West America
JU L I A 150 K M
JU L I A 150 K M
Magnetometer estimated JU L I A 150 K M
Equatorial drift and Density fluctuation
Equatorial drift and Density fluctuation
East A frica West A frica West America
Longitudinal E EJ Variations
Longitudinal E EJ Variations 77 W 69 W 56 W 8 E 77 W 38 E 56 W 8 E
Longitudinal E EJ Variations 77 W 38 E 56 W 8 E 77 W 38 E 77 W
Longitudinal E EJ Variations
How does the ionospheric density respond to such
drift differences?
Storm time electrojet and T E C & Occultation Density profile response
Computerized Ionospheric Tomography (C I T)
Use radio signals from satellites Needs a chain of ground stations
Use line integral of electron density (T E C) as input ingredients Invert data sets based on linear mathematical inversion technique
Obtain 2D image of electron density
Large-scale spatial structure of ionosphere
Resource for Tomography
2007
Background profiles
Courtesy to Valladares
Resource for Tomography
2007
Harmonic background profiles
F ill each pixel with initial electron density guess, which can be obtained from model profiles.
Calculate T E C for the current raypaths through initial guess.
Using an iterative fashion, the vertical electron density profile then can be calculated as:
Divide the imaging region in to number of pixels C I T Inversion technique
N
TEC; = J NedS= Ld;ini+ E P; j= 1
N
TEC guess= L dij( ngs )j j= 1
Which ensures that the correction remains stable
N
~ d .. d .. ~ lj lj
j=1
Calculate T E C for the current raypaths through initial guess.
Using an iterative fashion, the vertical electron density profile then can be calculated as:
R
iN
ji ji j
j
kji ji
kk
ek
e Ddd
ndT ECNN
1
11
Which ensures that the correction remains stable
Disturbed day Quiet day
C I T Inversion technique
Computerized Ionospheric Tomography (C I T)
Use radio signals from satellites Needs a chain of ground stations Use line integral of electron density (T E C) as input ingredients Invert data sets based on linear mathematical inversion technique Obtain vertical structure of electron density Large-scale spatial structure of ionosphere
East A frica West Amer ica
Tomographically reconstructed density profiles
Tomography and ISR Density profiles comparison
Longitudinal Density profiles differences East A frica West America
Northern peak America-Equator Southern peak
Northern peak A frica-Equator Southern peak Longitudinal Density profiles differences
Northern peak America-Equator Southern peak
Northern peak A frica-Equator Southern peak
E lectron Density structure at different altitudes
East A frica West America
C N O F/S PLP and tomography density comparison
C/N O FS density distr ibution on October 5, 2008
Local-time distr ibution of C/N O FS density
Tomography density at 420 km
East A frica West America
F-region (at 300km) E lectron Density day-to-day variability
Future direction
Such ground-based magnetometer distribution will allow us to understand the physics behind the longitudinal variation of the E EJ and thus ionospheric ir regularities.
The tomographically inverted density is important to monitor the day-to-day variability of the density at different altitudes, as well as for validation of the in-situ density observations onboard L E O satellites.
Conclusion The magnitude and direction of the vertical drift shows significant difference at different longitudinal sectors. The ionospheric density also responded differently at different longitudinal sectors, lower density in the east A frican sector than west American sector.
Thank you!