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Temporal-Spatial Variation of Global GPS-Derived Total Electron Content, 1999-2013.

Guo J, Li W, Liu X, Kong Q, Zhao C, Guo B - PLoS ONE (2015)

Bottom Line: The fitting results of a quadratic polynomial show that the effect of solar activity on TEC is stronger in low latitudes than in mid-high latitudes, and stronger in the southern hemisphere than in the northern hemisphere.The effect of solar activity on TECs was analyzed with the cross wavelet analysis and the wavelet coherence transformation, and we found that there appears to be a strong coherence in the period of about 27 days.So TECs decrease over most areas year by year, but TECs over the Arctic around Greenland maintained a rising trend during these 15 years.

View Article: PubMed Central - PubMed

Affiliation: College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China; State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science & Technology, Shandong University of Science and Technology, Qingdao, 266590, China.

ABSTRACT
To investigate the temporal-spatial distribution and evolutions of global Total Electron Content (TEC), we estimate the global TEC data from 1999 to 2013 by processing the GPS data collected by the International Global Navigation Satellite System (GNSS) Service (IGS) stations, and robustly constructed the TEC time series at each of the global 5°×2.5° grids. We found that the spatial distribution of the global TEC has a pattern where the number of TECs diminishes gradually from a low-latitude region to high-latitude region, and anomalies appear in the equatorial crest and Greenland. Temporal variations show that the peak TEC appears in equinoctial months, and this corresponds to the semiannual variation of TEC. Furthermore, the winter anomaly is also observed in the equatorial area of the northern hemisphere and high latitudes of the southern hemisphere. Morlet wavelet analysis is used to determine periods of TEC variations and results indicate that the 1-day, 26.5-day, semi-annual and annual cycles are the major significant periods. The fitting results of a quadratic polynomial show that the effect of solar activity on TEC is stronger in low latitudes than in mid-high latitudes, and stronger in the southern hemisphere than in the northern hemisphere. But the effect in low latitudes in the northern hemisphere is stronger than that in low latitudes in the southern hemisphere. The effect of solar activity on TECs was analyzed with the cross wavelet analysis and the wavelet coherence transformation, and we found that there appears to be a strong coherence in the period of about 27 days. So the sunspot as one index of solar activity seriously affects the TEC variations with the sun's rotation. We fit the TEC data with the least squares spectral analysis to study the periodic variations of TEC. The changing trend of TEC is generally -0.08 TECu per year from 1999 to 2013. So TECs decrease over most areas year by year, but TECs over the Arctic around Greenland maintained a rising trend during these 15 years.

No MeSH data available.


Related in: MedlinePlus

Periodic spectrum of TEC set A.(a) is the time series of TEC. (b) is the power spectrum with Morlet wavelet. (c) is the power with the confidence of 95%.
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pone.0133378.g006: Periodic spectrum of TEC set A.(a) is the time series of TEC. (b) is the power spectrum with Morlet wavelet. (c) is the power with the confidence of 95%.

Mentions: In order to detect the long period and the short period based on the ionosphere characteristics, we constructed two time series of TECs, that is, data A including the global TECs with the time resolution of 8 hours estimated by CODE in 2005, and data B including the global TECs with the time resolution of 3 days from 1 January 1999 to 15 April 2013. We used the Morlet wavelet to analyse data sets A and B, as shown in Figs 6 and 7.


Temporal-Spatial Variation of Global GPS-Derived Total Electron Content, 1999-2013.

Guo J, Li W, Liu X, Kong Q, Zhao C, Guo B - PLoS ONE (2015)

Periodic spectrum of TEC set A.(a) is the time series of TEC. (b) is the power spectrum with Morlet wavelet. (c) is the power with the confidence of 95%.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4508092&req=5

pone.0133378.g006: Periodic spectrum of TEC set A.(a) is the time series of TEC. (b) is the power spectrum with Morlet wavelet. (c) is the power with the confidence of 95%.
Mentions: In order to detect the long period and the short period based on the ionosphere characteristics, we constructed two time series of TECs, that is, data A including the global TECs with the time resolution of 8 hours estimated by CODE in 2005, and data B including the global TECs with the time resolution of 3 days from 1 January 1999 to 15 April 2013. We used the Morlet wavelet to analyse data sets A and B, as shown in Figs 6 and 7.

Bottom Line: The fitting results of a quadratic polynomial show that the effect of solar activity on TEC is stronger in low latitudes than in mid-high latitudes, and stronger in the southern hemisphere than in the northern hemisphere.The effect of solar activity on TECs was analyzed with the cross wavelet analysis and the wavelet coherence transformation, and we found that there appears to be a strong coherence in the period of about 27 days.So TECs decrease over most areas year by year, but TECs over the Arctic around Greenland maintained a rising trend during these 15 years.

View Article: PubMed Central - PubMed

Affiliation: College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China; State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science & Technology, Shandong University of Science and Technology, Qingdao, 266590, China.

ABSTRACT
To investigate the temporal-spatial distribution and evolutions of global Total Electron Content (TEC), we estimate the global TEC data from 1999 to 2013 by processing the GPS data collected by the International Global Navigation Satellite System (GNSS) Service (IGS) stations, and robustly constructed the TEC time series at each of the global 5°×2.5° grids. We found that the spatial distribution of the global TEC has a pattern where the number of TECs diminishes gradually from a low-latitude region to high-latitude region, and anomalies appear in the equatorial crest and Greenland. Temporal variations show that the peak TEC appears in equinoctial months, and this corresponds to the semiannual variation of TEC. Furthermore, the winter anomaly is also observed in the equatorial area of the northern hemisphere and high latitudes of the southern hemisphere. Morlet wavelet analysis is used to determine periods of TEC variations and results indicate that the 1-day, 26.5-day, semi-annual and annual cycles are the major significant periods. The fitting results of a quadratic polynomial show that the effect of solar activity on TEC is stronger in low latitudes than in mid-high latitudes, and stronger in the southern hemisphere than in the northern hemisphere. But the effect in low latitudes in the northern hemisphere is stronger than that in low latitudes in the southern hemisphere. The effect of solar activity on TECs was analyzed with the cross wavelet analysis and the wavelet coherence transformation, and we found that there appears to be a strong coherence in the period of about 27 days. So the sunspot as one index of solar activity seriously affects the TEC variations with the sun's rotation. We fit the TEC data with the least squares spectral analysis to study the periodic variations of TEC. The changing trend of TEC is generally -0.08 TECu per year from 1999 to 2013. So TECs decrease over most areas year by year, but TECs over the Arctic around Greenland maintained a rising trend during these 15 years.

No MeSH data available.


Related in: MedlinePlus