Chinh Thai Nguyen

Chinh Thai Nguyen


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 December 2021 in Remote Sensing
Verified
Journal Article
Open access
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CNChinh Thai Nguyen
Chinh Thai Nguyen
TOTemitope Seun Oluwadare
Temitope Seun Oluwadare
Nhung Thi LeNhung Thi Le
Nhung Thi Le
MEM.Mahdi Alizadeh Elizei
M.Mahdi Alizadeh Elizei
JWJens Wickert
Jens Wickert
HSHarald Schuh
Harald Schuh
Major advancements in the monitoring of both the occurrence and impacts of space weather can be made by evaluating the occurrence and distribution of ionospheric disturbances. Previous studies have shown that the fluctuations in total electron content (TEC) values estimated from Global Navigation Satellite System (GNSS) observations clearly exhibit the intensity levels of ionospheric irregularities, which vary continuously in both time and space. The duration and intensity of perturbations depend on the geographic location. They are also dependent on the physical activities of the Sun, the Earth’s magnetic activities, as well as the process of transferring energy from the Sun to the Earth. The aim of this study is to establish ionospheric irregularity maps using ROTI (rate of TEC index) values derived from conventional dual-frequency GNSS measurements (30-s interval). The research areas are located in Southeast Asia (15°S–25°N latitude and 95°E–115°E longitude), which is heavily affected by ionospheric scintillations, as well as in other regions around the globe. The regional ROTI map of Southeast Asia clearly indicates that ionospheric disturbances in this region are dominantly concentrated around the two equatorial ionization anomaly (EIA) crests, occurring mainly during the evening hours. Meanwhile, the global ROTI maps reveal the spatial and temporal distributions of ionospheric scintillations. Within the equatorial region, South America is the most vulnerable area (22.6% of total irregularities), followed by West Africa (8.2%), Southeast Asia (4.7%), East Africa (4.1%), the Pacific (3.8%), and South Asia (2.3%). The generated maps show that the scintillation occurrence is low in the mid-latitude areas during the last solar cycle. In the polar regions, ionospheric irregularities occur at any time of the day. To compare ionospheric disturbances between regions, the Earth is divided into ten sectors and their irregularity coefficients are calculated accordingly. The quantification of the degrees of disturbance reveals that about 58 times more ionospheric irregularities are observed in South America than in the southern mid-latitudes (least affected region). The irregularity coefficients in order from largest to smallest are as follows: South America, 3.49; the Arctic, 1.94; West Africa, 1.77; Southeast Asia, 1.27; South Asia, 1.24; the Antarctic, 1.10; East Africa, 0.89; the Pacific, 0.32; northern mid-latitudes, 0.15; southern mid-latitudes, 0.06.

18 March 2025
Verified
Conference Paper
Open access
CNChinh Thai Nguyen
Chinh Thai Nguyen
MRMarkus Ramatschi
Markus Ramatschi
JWJens Wickert
Jens Wickert
CAChristina Arras
Christina Arras
BMBenjamin Männel
Benjamin Männel
LBLuyen K. Bui
Luyen K. Bui
Understanding ionospheric disturbances is essential not only for enhancing the accuracy of space geodetic applications but also for advancing our knowledge of space weather and space climate dynamics. Recently, this analysis has become increasingly valuable in early warning systems and assessing the effects of natural disasters such as geomagnetic storms, earthquakes, and tsunamis. To facilitate the monitoring of ionospheric instabilities worldwide, the GFZ Helmholtz Centre for Geosciences is developing a global network of high-rate GNSS stations operating at a frequency of 50 Hz. This report introduces the current status of the monitoring system and presents initial findings from stations located near the magnetic equator. The 3D model of ionospheric perturbations on a global scale (based on ROTI) and locally (based on the S4 index) at monitoring stations clearly illustrates the temporal and spatial characteristics of severe ionospheric conditions. We emphasize the impact of ionospheric irregularities on GNSS signal quality and employ statistical algorithms to evaluate the effects of scintillations on GPS, GLONASS, and Galileo satellite navigation systems across different frequencies.