GNSS Observation for Detection, Monitoring, and Forecasting Natural and Man‐Made Hazardous Events

Vergados, Panagiotis; Komjáthy, A.; Meng, Xing

doi:10.1002/9781119458449.ch32

Cited by 9 publications

(5 citation statements)

References 92 publications

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“…Mankind involves global navigation satellite systems (GNSS) in different economic activities: autonomous agriculture, transport monitoring, unmanned vehicle transportation, spacecraft navigation, surveying, and much more [ 1 ]. Scientists also use GNSS to monitor the state of the environment: sounding the ionosphere [ 2 ] and the atmosphere [ 3 ], tectonic plate movements [ 4 ], natural hazards monitoring [ 5 ], etc.…”

Section: Introductionmentioning

confidence: 99%

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Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC Ionospheric Models: A Comparison in Total Electron Content and Positioning Domains

Yasyukevich

Zatolokin

Padokhin

et al. 2023

Sensors

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Global navigation satellite systems (GNSS) provide a great data source about the ionosphere state. These data can be used for testing ionosphere models. We studied the performance of nine ionospheric models (Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC) both in the total electron content (TEC) domain—i.e., how precise the models calculate TEC—and in the positioning error domain—i.e., how the models improve single frequency positioning. The whole data set covers 20 years (2000–2020) from 13 GNSS stations, but the main analysis involves data during 2014–2020 when calculations are available from all the models. We used single-frequency positioning without ionospheric correction and with correction via global ionospheric maps (IGSG) data as expected limits for errors. Improvements against noncorrected solution were as follows: GIM IGSG—22.0%, BDGIM—15.3%, NeQuick2—13.8%, GEMTEC—13.3%, NeQuickG and IRI-2016—13.3%, Klobuchar—13.2%, IRI-2012—11.6%, IRI-Plas—8.0%, GLONASS—7.3%. TEC bias and mean absolute TEC errors for the models are as follows: GEMTEC—−0.3 and 2.4 TECU, BDGIM—−0.7 and 2.9 TECU, NeQuick2—−1.2 and 3.5 TECU, IRI-2012—−1.5 and 3.2 TECU, NeQuickG—−1.5 and 3.5 TECU, IRI-2016—−1.8 and 3.2 TECU, Klobuchar—1.2 and 4.9 TECU, GLONASS—−1.9 and 4.8 TECU, and IRI-Plas—3.1 and 4.2 TECU. While TEC and positioning domains differ, new-generation operational models (BDGIM and NeQuickG) could overperform or at least be at the same level as classical empirical models.

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Section: Introductionmentioning

confidence: 99%

“…Because most GNSS users still apply single-frequency equipment [6], it is important to compensate for errors caused by the ionosphere. Different methods have been used for tectonic plate movements [4], natural hazards monitoring [5], etc.…”

Section: Introductionmentioning

confidence: 99%

Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC Ionospheric Models: A Comparison in Total Electron Content and Positioning Domains

Yasyukevich

Zatolokin

Padokhin

et al. 2023

Sensors

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“…This is due to the proliferation of ground‐based receivers, which allow for dense sampling of the ionosphere over land (Rideout & Coster, 2006; Vierinen et al., 2016). Ground‐based GNSS TEC observations have contributed significantly to understanding of the spatial and temporal variability of the ionosphere across a range of spatial and temporal time‐scale (e.g., A. Coster & Komjathy, 2008; A. J. Coster & Yizengaw, 2021; Vergados et al., 2020). They are, however, limited by the inherent lack of observations over the ocean.…”

Section: Introductionmentioning

confidence: 99%

“…Coster & Komjathy, 2008;A. J. Coster & Yizengaw, 2021;Vergados et al, 2020). They are, however, limited by the inherent lack of observations over the ocean.…”

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confidence: 99%

Processing and Validation of FORMOSAT‐7/COSMIC‐2 GLONASS Total Electron Content Observations

et al. 2023

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The Formosa Satellite‐7/Constellation Observing System for Meteorology, Ionosphere, and Climate‐2 (FORMOSAT‐7/COSMIC‐2, F7/C2) Tri‐GNSS Radio Occultation System observes both Global Positioning System (GPS) and GLObalnaya NAvigazionnaya Sputnikovaya Sistema (GLONASS) slant total electron content (TEC). Space‐based TEC observations have historically relied on GPS signals, and the processing methodologies and data quality of GLONASS absolute TEC observations are thus less well established. We present a description of the differences in the processing for the F7/C2 GLONASS absolute TEC observations. This primarily entails estimation of a paired receiver‐transmitter differential code bias, which is needed due to the GLONASS usage of frequency‐division multiple access. We additionally perform a validation of the F7/C2 GLONASS absolute TEC observations through comparison with colocated F7/C2 GPS absolute TEC observations. Based on this comparison, we estimate the GLONASS absolute TEC error to be ∼2.6 TEC units (TECU), which is similar to previous estimates of the F7/C2 GPS absolute TEC error (∼2.5 TECU). This demonstrates that the F7/C2 GLONASS absolute TEC observations are generally similar in quality to the F7/C2 GPS absolute TEC observations, and are suitable for use by the operational and scientific communities.

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“…Savastano et al ( 2017 ) reported that the June 13, 2013, meteotsunami in the Atlantic Ocean, whose wave height fluctuated between 16 and 61 cm, perturbed the ionosphere by about 0.3 total electron content units (TECU, defined as 10 16 el/m 2 ) as observed by the nearby ground-based GNSS receiver network. Similar to tsunamis (Astafyeva 2019 ; Vergados et al 2020 ), meteotsunamis trigger horizontally and vertically propagating gravity waves (GWs) that could reach the earth’s ionosphere. Nevertheless, ionospheric detection of meteotsunamis has not received as equal attention as tsunamigenic earthquakes (which exhibit prominent signatures in the earth’s electron density).…”

Section: Introductionmentioning

confidence: 99%

Prospects for meteotsunami detection in earth’s atmosphere using GNSS observations

et al. 2023

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We study, for the first time, the physical coupling and detectability of meteotsunamis in the earth’s atmosphere. We study the June 13, 2013 event off the US East Coast using Global Navigation Satellite System (GNSS) radio occultation (RO) measurements, Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) temperatures, and ground-based GNSS ionospheric total electron content (TEC) observations. Hypothesizing that meteotsunamis also generate gravity waves (GWs), similar to tsunamigenic earthquakes, we use linear GW theory to trace their dynamic coupling in the atmosphere by comparing theory with observations. We find that RO data exhibit distinct stratospheric GW activity at near-field that is captured by SABER data in the mesosphere with increased vertical wavelength. Ground-based GNSS-TEC data also detect a far-field ionospheric response 9 h later, as expected by GW theory. We conclude that RO measurements could increase understanding of meteotsunamis and how they couple with the earth’s atmosphere, augmenting ground-based GNSS TEC observations.

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GNSS Observation for Detection, Monitoring, and Forecasting Natural and Man‐Made Hazardous Events

Cited by 9 publications

References 92 publications

Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC Ionospheric Models: A Comparison in Total Electron Content and Positioning Domains

Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC Ionospheric Models: A Comparison in Total Electron Content and Positioning Domains

Processing and Validation of FORMOSAT‐7/COSMIC‐2 GLONASS Total Electron Content Observations

Prospects for meteotsunami detection in earth’s atmosphere using GNSS observations

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