This study presents variations of monthly
mean total electron content in the crest of
South East Asian equatorial ionization anomaly by using data of the continuous GPS
network along the meridian of 105E in both
hemispheres. The TEC calculation using
pseudoranges observed in GPS stations is
represented. We can draw some conclusions
as follows:
We observed the semiannual pattern of
amplitude of the EIA crests. In both hemispheres, the amplitude of crest is larger at the
northern spring equinox than at the autumn
equinox from 2006 to 2008, and smaller at the
spring equinox than at the autumn equinox
from 2009 to 2011. In the maximum period of
solar cycle 2012-2013, the amplitudes of
crests at two equinoxes are equivalent.
There is a high correlation between TEC
amplitudes in two crests and the sunspot
number, with the correlation coefficient
of ~0.9.
In the deep solar minimum years 2008-
2009, amplitudes of anomaly crests become
small, about 20 TECu in the summer and winter months.
The crests tend to move equatorward more
significantly in winter than in other seasons,
and there is a tendency for both crests to
appear earlier in winter and later in summer.
In the deep solar minimum, the annual
mean latitudes of anomaly crests are nearer
the equator, the annual mean TEC amplitudes
of crests are minimal and the occurrence time
is earlier than in other years.
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Vietnam Journal of Earth Sciences, 38(2), 153-165, DOI: 10.15625/0866-7187/38/2/8598
153
(VAST)
Vietnam Academy of Science and Technology
Vietnam Journal of Earth Sciences
Continuous GPS network in Vietnam and results of study
on the total electron content in the South East Asian region
Le Huy Minh*1, Tran Thi Lan1, C. Amory-Mazaudier2, R. Fleury3, A. Bourdillon4, J. Hu5,
Vu Tuan Hung5, Nguyen Chien Thang1, Le Truong Thanh1, Nguyen Ha Thanh1
1Institute of Geophysics, VAST
2LPP/UPMC/Polytechnique/CNRS, UMR 7648, France
3 Lab-STICC UMR 6285 Mines-Télécom Télécom Bretagne, France
4Institut d’Electronique et de Télécommunication, Université de Rennes, France
5National Taiwan University, Republic of China
Received 19 January 2016. Accepted 27 April 2016
ABSTRACT
This study presents the continuous GPS network in Vietnam and the results of study on time variations of the
total electron content (TEC) in the South East Asian equatorial ionization anomaly (EIA) for the 2006-2013 period.
In each year we observe a semiannual pattern of amplitude of the EIA crests with its maximum amplitude at equinox.
In both hemispheres, the amplitude of the crest is larger in northern spring equinox than in autumn from 2006 to 2008
(descending phase of solar cycle) and smaller in spring than in autumn from 2009 to 2011 (increasing phase of solar
cycle), from 2012-2013 (maximum period of solar cycle) the amplitudes of the crests in spring and autumn are
equivalent. We also observe an asymmetry between the amplitude and the position of the two crests of ionization.
There is a very high level of correlation between the amplitude of the TEC at the two crests and the sunspot number
is approximately equal to 0.9. During the deep solar minimum 2008-2009, the amplitude of crests of ionization
becomes small during several months in summer and winter (about 20 TECu). The results show that both crests move
more significantly equatorward in winter than in other seasons and there is a tendency for both crests to appear earlier
in winter and later in summer. In the solar minimum years, the amplitudes of the crests are minimal; the positions of
the crests are nearer the magnetic equator and the crests appear earlier than in other years.
Keywords: Equatorial ionization anomaly; Total electron content (TEC); GPS technology; Sunspot; Solar cycle.
©2016 Vietnam Academy of Science and Technology
1. Introduction
Within the framework of the cooperation
between Institute of Geophysics-VAST, Uni-
versities of Rennes1 and Telecom Bretagne
(Amory et al., 2006), two GPS receivers were
installed in Hanoi (HAN1, PHUT) and in Hoc
Mon (Ho Chi Minh City, HOCM) from May
Corresponding author, Email: lhminhigp@gmail.com
2005; and another was installed in Hue
(HUES) from January 2006. This is the first
time these continuously operating GPS
receivers have been setup in Vietnam for
monitoring the total electron content (TEC)
and ionospheric scintillation. Within the
framework of Institute of Geophysics-VAST
and National Taiwan University, six
continuously operating GPS receivers were
installed in the Northwest of Vietnam from
Le Huy Minh, et al./Vietnam Journal of Earth Sciences 38 (2016)
154
November 2009. From September 2011,
another GPS receiver was setup in Vinh,
whose continuous operation has been
sustained so far. Within the framework of the
national independent project “Study and
assessment of earthquake and tsunami hazards
in Ninh Thuan and the surrounding region for
the site selection of nuclear power plant” and
the project “Study on the impact of seismo-
tectonic activity on the stability of Song Tranh
2 hydro power plant in Bac Tra My, Quang
Nam province", the continuous GPS
measurement was carried out at 06 locations
in Central Vietnam during 1-2 years. Thus,
from 2005 uptonow, Institute of Geophysics
has created the continuous GPS network at 18
locations to provide the important database for
the research on the ionosphere, water vapor
content in the troposphere and tectonic
movement of Earth’s crust in Vietnam and
adjacent region.The use of GPS technology
to examine the ionosphere and the
troposphere was mentioned in some previous
studies (Le Huy Minh et al., 2006; 2010;
Duong Chi Cong, 2010). This article presents
the results of utilizing the continuous GPS
data in Vietnam and adjacent region to study
the characteristics of equatorial ionization
anomaly (Breit and Tube, 1926; Namba and
Maeda, 1939; Appleton, 1946) in the South
East Asian region between 2006 and 2013. It
should be noted that although many studies
on TEC in Asia have been conducted
(Walker et al., 1994; Tsai et al., 2001; Chen
et al., 2008; Zhao et al., 2009); however,
there are no studies dealing with the
subequatorial network in Vietnam as well as
no results for a long-time series, about one
solar cycle of 11 years has been reported
uptonow.
2. Data and calculation method
Data of the continuous GPS stations in
Vietnam and the stations of International
GNSS Services (IGS): KUNM (China),
CUSV (Thailand), NTUS (Singapore), BAKO
(Indonesia) used in this study are listed in
Table 1 and the distribution of stations are
illustrated in Figure 1. To have relatively
complete information about the anomaly crest
in the southern hemisphere in months when
the stations NTUS or BAKO provide no data,
we use data from the stations SAMP, MNKL
and XMIS instead. The position of the
magnetic equator in the latitude of 7-8oN is
also presented in Figure 1.
We use the pseudorange measurements
between the GPS receivers and satellites to
calculate the total electron content along the
transmission line according to the formula
(Klobuchar, 1986; Liu et al., 1996):
TECu 3.401 122221
2
2
2
1
j
ii
j
i
j bbppff
ff
TEC
(1)
where 1575.421 f MHz and 60.12272 fMHz are the GPS frequencies, i jp1 and i jp2 are the pseudorange measurements from the
satellite i to the receiver j corresponding to the
frequencies 1f and 2f , b is the instrumental bias of satellite i, bi, or of receiver j, bj, TECu
is the unit of total electron content, 1
TECu=1016el/m2. The vertical total electron
content, VTEC, observed at the pierce point
of the ionosphere is determined from the
single-layer model (Klobuchar, 1986):
hR
RTECVTEC cosarcsincos.
(2)
where is the satellite elevation angle,
R=6371.2 km is the average radius of the
Earth, and h is the height of the ionosphere
above ground level, often considered as
h=400 km (Zhao et al., 2009).
To calculate TEC from (1) and VTEC from
(2), we must know the instrumental biases of
satellite bi and of receiver bj. Many organizations responsible for treatments of the
rinex data of the International GNSS Service
(IGS) provide the daily value of satellite bias,
known as Differential Code Bias (DCB). The
receiver bias bj is a true value; based on the method of Komjathy et al. (2005) we use the
global ionosphere model to estimate the receiver
bias at certain location. In reality, it is
unnecessary to know the receiver and satellite
Vietnam Journal of Earth Sciences, 38(2), 153-165
155
biases separately; we can estimate the sum
j
ii
j bbb by comparing VTEC value calculated in the formulas (1) and (2) based on
the assumption that bi+bj=0 and the VTEC value
calculated in the global TEC model CODG,
which can be retrieved from the website
ftp://cddis.gsfc.nasa.gov/gps/products/ionex.
For each station, each day t, and each satellite,
i
jb is evaluated at every observation time tk, )( kij tb , and then the value )(tbij of each day is chosen as the median of values )( kij tb . The calculation usually was carried out for one-
month data, so the value ijb of the month is taken as the median of daily values )(tbij . Figure 2 represents the root mean square
value of instrumental biases ijb (RMS_b) for each satellite PRN compared to the monthly
median value for the receiver in station PHUT
in March 2011. It can be seen that the root
mean square values range between 1 and 7.2
TECu depending on the satellite. Among 31
satellites operating in that month, 22 satellites
have RMS_b<5 TECu, and 9 satellites have
RMS_b>5 TECu. From Figure 2, it can be
indicated that the root mean square values for
all satellites are in the range of 4-5 TECu;
therefore, the error of TEC mapping is about
4-5 TECu. It should be noted that the global
TEC model is estimated during a period of 1-2
hours. The method used in this study provides
the value of TEC at every observation time of
30s, hence it is possible to see the finer struc-
tures of TEC that are smoothed by the global
model CODG.
Table 1. Continuous GPS stations and their coordinates, the data of which are used in the study
No. Station Geographic coordinates Magnetic latitude (2010) Instrument Period of time Longitude Latitude
1 MTEV 102.80719 22.38791 15.92 NETRS 12/2009-present
2 MLAY 103.15385 22.04187 15.54 NETRS 1/2012-present
3 DBIV 103.01829 21.38992 14.84 NETRS 11/2009-present
4 TGIV 103.41804 21.59225 15.06 NETRS 11/2009-present
5 SMAV 103.74971 21.05629 14.49 NETRS 6/2010-present
6 SLAV 103.90664 21.32529 14.78 NETRS 12/2009-present
7 MOCV 104.63545 20.84406 14.26 NETRS 6/2010-6/2011
8 HAN1 105.79973 21.04740 14.51 GSV4004 5/2005-2/2009
9 PHUT 105.95872 21.02938 14.49 GSV4004 2/2009-present
10 VINH 105.69659 18.64999 11.91 CORS5700 9/2011-present
11 HUES 107.59265 16.45919 9.58 GSV4004 1/2006-present
12 HOCM 106.55979 10.84857 3.47 GSV4004 5/2005-10/2012
13 PHOD 108.96842 11.45501 4.21 CORS5700 8/2012-12/2013
14 PHUO 108.93735 11.70926 4.49 CORS5700 8/2012-12/2013
15 PHUQ 108.93334 10.51638 3.20 CORS5700 12/2012-12/2013
16 TAMB 108.20444 11.62165 4.37 CORS5700 8/2012-12/2013
17 HSON 108.18322 11.10855 3.82 CORS5700 8/2012-12/2013
18 TNGO 108.20385 15.44722 8.50 CORS5700 4/2014-present
19 KUNM 102.79720 25.02954 18.79 IGS station 1/2006-1/2013
20 CUSV 100.53392 13.73591 6.43 IGS station 5/2008-present
21 NTUS 103.67996 1.34580 -7.05 IGS station 1/2006-present
22 BAKO 106.84891 -6.49106 -15.52 IGS station 1/2006-present
23 SAMP 98.71472 3.62161 -4.76 IGS station
24 MNKL 102.27021 -5.36365 -14.52 IGS station
25 XMIS 105.68350 -10.44996 -19.99 IGS station
Le Huy Minh, et al./Vietnam Journal of Earth Sciences 38 (2016)
156
Figure 1. Location of the GPS stations, the data of which are used in the study
Hoang Sa
Truong Sa
Phu Quoc
Con Son
Vietnam Journal of Earth Sciences, 38(2), 153-165
157
Figure 2. Root mean square RMS_b of instrumental bias in each pair of satellite PRN and GPS receiver in Phu Thuy
in March 2011
3. Results and discussion
The method of establishing the temporal-
latitudinal TEC maps has been introduced in
previous articles (L. H. Minh et al., 2006; Le
Huy et al., 2014) as well as in international
publications (Huang et al., 1989; Liu et al.,
1996; Tsai et al., 2001). In this article, we
present the result of establishing the temporal-
latitudinal average monthly TEC maps in the
period of 2006-2013. Figures 3a and 3b
illustrate the monthly average TEC maps for
12 months in 2009 and 2013, respectively;
The maps in Figures 3a and 3b are drawn in
the same color scale to facilitate the
comparison. The structural morphology of
equatorial ionization anomaly is clearly
shown with a depression at about 8oN, i.e. at
the magnetic equator; two maximum crests
are at two sides of the magnetic equator; the
northern crest is observed near the latitude of
2022oN, i.e. in the North of our country’s
territory; and the southern crest is observed in
the latitude of 5-7oS. Each year, the
amplitude of crest of TEC reaches a
maximum at the spring equinox (March-
April) and the autumn equinox (September-
October) or perhaps within October-
November. The amplitude of crest of TEC in
2013 is greater than that in 2009.
The crest of equatorial ionization anomaly
can be characterized by latitude Lc, occur-
rence time Tc and amplitude Ic with affixes N
or S added to distinguish the anomaly crest in
the northern hemisphere from that in the
southern hemisphere. We examined temporal
variations of parameters of crests
)I,T,(L SN,cSN,cSN,c as considered by Huang et al., 1989; Walker et al., 1994; Huang &
Cheng, 1996; Tsai et al., 2001; Wu et al.,
2004, 2008; Zhao et al., 2009; Le Huy et al.,
2014. Figure 4 presents the average monthly
number of sunspot and the monthly average
amplitude of ionization anomaly crests from
2006 to 2013. In the graph of sunspot number
SSN, discrete points are monthly average
values, the solid line is moving average values
of 13 months. In curves representing the
change of SNcI , , dots and relevant connecting lines are monthly average values, bold lines in
the middle are also moving average values of
13 months. The calculation of moving average
values are made by using the moving average
smooth command in Matlab, the result shows
that the first and last values in the output data
series are the same as those in the input one. It
2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32
Satellite - PRN
0
1
2
3
4
5
6
7
8
R
M
S_
b
(T
E
C
u)
Le Huy Minh, et al./Vietnam Journal of Earth Sciences 38 (2016)
158
is inappropriate and therefore, the values in
extremities should be excluded. It means that
values of amplitude of crest are moving-
averaged in 13 months, but those in January
2006 and December 2013 are not taken after
calculating the moving average.
Figure 3. a) The temporal-latitudinal monthly average TEC maps in 2009. Contour interval: 5TECu;
Vietnam Journal of Earth Sciences, 38(2), 153-165
159
Figure 3b. The temporal-latitudinal monthly average TEC maps in 2013.s Contour interval: 5TECu
Figure 4 shows that in the deep solar mini-
mum of the 2008-2009 period, the amplitude
of anomaly crest is very small, only about 20
TECu, especially at the summer solstice in the
northern hemisphere (June or July). At the
winter solstice in the northern hemisphere
(December), ScI is often larger than NcI , at the
summer solstice (July) NcI is often larger than S
cI . During these years, the amplitude SNcI , in December (winter in the northern hemisphere)
is always larger than that in July (winter in the
southern hemisphere). It signifies that the
winter anomaly (Rishbeth & Muller-Wodarg,
2006) only occurs in the northern hemisphere,
b)
Le Huy Minh, et al./Vietnam Journal of Earth Sciences 38 (2016)
160
but not in the southern hemisphere; this is
an important hemispheric asymmetry of
equatorial ionization anomaly. From 2006 to
2008, during the descending phase of the solar
cycle, SNcI , at the spring equinox is larger than at the autumn equinox. From 2009 to
2011, during the increasing phase of the solar
cycle, the maximum amplitude at the autumn
equinox is larger than at the spring equinox.
During 2012 and 2013, maximum period of
the solar cycle without a clear weakening
trend, the maximum amplitudes at spring and
autumn equinoxes are equivalent. The
asymmetry of TEC in the equatorial ionization
anomaly was mentioned by some international
authors (Tsai et al., 2001; Wu et al., 2004,
2008; Rama Rao et al., 2006; Chakraborty &
Hajra, 2008; Mala et al., 2009; Zhao et al.,
2009). Correlation coefficients between the
monthly average number of sunspot and the
monthly average amplitude of anomaly crest
are 0.909 and 0.897 in the northern
and southern crests, respectively. These
coefficients show better correlation than the
correlation between the critical frequency of
F2 layer in Phu Thuy and the sunspot number,
which is equal to ~0.84 (Pham Thi Thu H. et
al., 2011). The correlation coefficients of
moving average values of 13 months are
0.995 and 0.994 in the northern and southern
crests, respectively. Thus, the change in
monthly average amplitude of equatorial
ionization anomaly has a high correlation with
the sunspot number.
Figure 4. The monthly mean sunspot number (top) and the amplitudes of equatorial ionization anomaly crests
(bottom). Red dots and red lines - for northern crest, blue dots and blue lines for southern crest
2006 2007 2008 2009 2010 2011 2012 2013 2014
0
20
40
60
80
100
Su
ns
po
t n
um
be
r -
SS
N
0 4 8 12
2006
20
40
60
80
100
120
TE
C (
TE
Cu
)
4 8 12
2007
4 8 12
2008
4 8 12
2009
4 8 12
2010
4 8 12
2011
4 8 12
2012
4 8 12
2013
Vietnam Journal of Earth Sciences, 38(2), 153-165
161
For further detail consideration of seasonal
variations of anomaly crests, we use monthly
average values of amplitude SNcI , minus moving average values SNcI ,13, (DeltaI = SNcI , -
SN
cI
,
13, ). The results shown in Figure 5 repre-sent that the asymmetry between the spring
and autumn equinoxes markedly decreases,
the difference between amplitudes of crest at
the spring and autumn equinoxes is not large
as in Figure 4; however, anomaly amplitude in
December in most of these years (except
2011) is larger than that in July. It means that
the winter anomaly in the northern
hemisphere often occurs.
Figure 5. Seasonal variations of monthly mean EIA crests, rhombic dots for northern crest, round dots for southern crest
0 2 4 6 8 10 12
Month - 2006
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2007
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2008
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2009
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2010
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2011
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2012
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
0 2 4 6 8 10 12
Month - 2013
-30
-20
-10
0
10
20
30
D
el
ta
I
(
T
E
C
u)
Le Huy Minh, et al./Vietnam Journal of Earth Sciences 38 (2016)
162
Figure 6 represents the latitude and
occurrence time of the crests in both
hemispheres. Spring, summer, autumn, and
winter months in two hemispheres are also
presented in Figure 6 to facilitate the analysis
of seasonal effect. Figure 6 shows that during
the studied period, the southern crest move
poleward more significantly in summer than
in other seasons. The northern crest also
follow this trend, but less obviously. This
observation is in accordance with
observations of Zhao et al. (2009). The graph
on the right of Figure 6 expresses a tendency
for both crests to appear earlier in winter and
later in summer. Figure 7 represents the
difference between occurrence times (t) of
anomaly crests in the northern and southern
hemispheres in the period of 2006-2013.
There is a tendency for the northern crest to
appear earlier than the southern crest in
January, February, November and December
(winter months in the northern hemisphere),
thus t<0, whereas in May, June, July and
August (summer months in the northern
hemisphere), the northern crest appears later
than the southern crest and t>0. This can be
explained by the thermospheric general
circulation model (Torr & Torr, 1973; Mayr et
al., 1977), which is the circulation between
solstices with two transitions at equinoxes.
Figure 6. Latitude (on the left) and occurrence time (on the right) of equatorial ionization anomaly crests from 2006
to 2013. Bold solid lines: corresponding average values for 2006-2013 period
0 1 2 3 4 5 6 7 8 9 101112
Month
-10
-5
0
5
10
15
20
25
Ge
og
rap
hic
La
titu
de
(d
eg
ree
)
2006
2007
2008
2009
2010
2011
2012
2013
0 1 2 3 4 5 6 7 8 9 101112
LT
(h
r)
0 1 2 3 4 5 6 7 8 9 101112
Month
LT
(h
r)
Win. S. Ver. E. Summer SolsticeAut. E Win. S.
Sum. S. Aut. E. Winter Solstice Ver. E. Sum. S.
17
16
15
14
13
12
17
16
15
14
13
12
Win. S. Ver. E. Summer Solstice Aut. E. Win. S.
Sum. S. Aut. E. Winter Solstice Ver. E. Sum. S.
Vietnam Journal of Earth Sciences, 38(2), 153-165
163
Figure 7. Difference between the occurrence times of the northern and southern monthly anomaly crests for every
year during 2006-2013 period. Bold solid lines: corresponding average values for 2006-2013 period
To investigate annual variations of
characteristics of anomaly crest, annual mean
values of parameters of the crests are calculated
in the studied period and presented in Figure 8.
As can be seen in Figure 4, in the studied period,
2008-2009 is the deep solar minimum; in Figure
8, in 2009 anomaly crests are nearest to the
magnetic equator, amplitudes of both crests
have the smallest values, the earliest occurrence
time in the southern crest is in 2009, and that in
the northern crest is in 2008. In case of
increasing solar activity, the crests move further
from the equator, the amplitude of crest
increases and the occurrence time is later.
Figure 8. The annual average latitudes, occurrence times and amplitudes of EIA crests in 2006-2013 period.
Rhombic dots for northern crest, round dots for southern crest
0 1 2 3 4 5 6 7 8 9 10 11 12
Month
-4
-3
-2
-1
0
1
2
3
4
Dif
fer
en
ce
of
ap
pe
are
nc
e t
im
es
of
No
rth
ern
an
d S
ou
the
rn
cre
sts
(h
r)
2006
2007
2008
2009
2010
2011
2012
2013
Solstice Equinox Solstice Equniox Solstice
2006 2008 2010 2012
Year
19.5
20.0
20.5
21.0
21.5
Ge
og
rap
hic
la
titu
de
2006 2008 2010 2012
Year
-6.5
-6.0
-5.5
-5.0
-4.5
Ge
og
rap
hic
la
titu
de
2006 2008 2010 2012
Year
13.5
14.0
14.5
15.0
Lo
ca
l ti
me
- L
T
2006 2008 2010 2012
Year
20
30
40
50
60
70
80
TE
C (
TE
Cu
)
Le Huy Minh, et al./Vietnam Journal of Earth Sciences 38 (2016)
164
4. Conclusions
This study presents variations of monthly
mean total electron content in the crest of
South East Asian equatorial ionization anom-
aly by using data of the continuous GPS
network along the meridian of 105E in both
hemispheres. The TEC calculation using
pseudoranges observed in GPS stations is
represented. We can draw some conclusions
as follows:
We observed the semiannual pattern of
amplitude of the EIA crests. In both hemi-
spheres, the amplitude of crest is larger at the
northern spring equinox than at the autumn
equinox from 2006 to 2008, and smaller at the
spring equinox than at the autumn equinox
from 2009 to 2011. In the maximum period of
solar cycle 2012-2013, the amplitudes of
crests at two equinoxes are equivalent.
There is a high correlation between TEC
amplitudes in two crests and the sunspot
number, with the correlation coefficient
of ~0.9.
In the deep solar minimum years 2008-
2009, amplitudes of anomaly crests become
small, about 20 TECu in the summer and win-
ter months.
The crests tend to move equatorward more
significantly in winter than in other seasons,
and there is a tendency for both crests to
appear earlier in winter and later in summer.
In the deep solar minimum, the annual
mean latitudes of anomaly crests are nearer
the equator, the annual mean TEC amplitudes
of crests are minimal and the occurrence time
is earlier than in other years.
Acknowledgements
This study has been completed with the
financial support from the project of Vietnam
Academy of Science and Technology VAST-
01.02/15-16.
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