Leveraging the CYGNSS Spaceborne GNSS‐R Observations to Detect Ionospheric Irregularities Over the Oceans: Method and Verification

Ren, Xiaodong; Liu, Huan; Mei, Dengkui; Yang, Pengxin; Zhang, Zhe; Freeshah, Mohamed; Zhang, Xiaohong

doi:10.1029/2022sw003141

Cited by 6 publications

(1 citation statement)

References 82 publications

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“…In order to detect IS using GNSS-R data, reflections over the ocean surface must be coherent, which only occurs at low wind speeds. A sea wind speed filter (SWSF) has also been applied to discard pixels over the ocean surface with large sea waves [30]. S4 was then filtered and aggregated, and the daily S4 anomalies were calculated in every pixel (1°), as shown in Figure 3.…”

Section: Introductionmentioning

confidence: 99%

On the Correlation Between Earthquakes and Prior Ionospheric Scintillations Over the Ocean: A Study Using GNSS-R Data Between 2017 and 2021

Boudriki Semlali,

Molina,

Park

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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From 1980 to 2021, earthquakes have caused more than 846,000 casualties and about US$ 661 billion in economic losses. At present, there are no reliable earthquake precursors to generate alerts. Currently, the link between earthquakes and Total Electron Content (TEC) variations measured by Global Navigation Satellite Systems (GNSS) monitoring ground stations has been studied. However, GNSS ground-based monitoring stations are irregularly disseminated around the globe with significant gaps, particularly in the ocean's regions. In this study, we analyze ionospheric intensity scintillation anomalies as potential proxies of earthquakes. NASA CYGNSS GNSS-R (Reflectometry) acquired by CYGNSS/DDMI (Delay Doppler Mapping Instrument) from 2017 to 2021 have been used to calculate and analyze the anomalies in the S4 parameter over ocean areas affected by earthquakes. More than 30,000 ocean earthquakes within ±40° in latitude and with a magnitude larger than M4 have been examined.The daily planetary geomagnetic index Kp was used to discard data that may be disturbed due to space weather conditions. Additionally, a daily sea wind speed mask was used to eliminate sea states that impact the signal reflectivity. The Standard Deviation (STD) and the Interquartile (IQT) time series methods have been used to detect these S4 anomalies. The confusion matrix, the Receiver Operating Curve (ROC), and some other Figures of Merit (FoM) have been used for the first time to evaluate and improve the performance of the prediction parameters and identify the optimum configuration to be used as a potential proxy of earthquake occurrence. As a result, a small, but detectable positive S4 anomaly was detected between 1 and 7 days before the earthquakes under study.

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Section: Introductionmentioning

confidence: 99%

On the Correlation Between Earthquakes and Prior Ionospheric Scintillations Over the Ocean: A Study Using GNSS-R Data Between 2017 and 2021

Boudriki Semlali,

Molina,

Park

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Using real GNSS data for ionospheric disturbance remote sensing associated with strong thunderstorm over Wuhan city

Freeshah,

Osama,

Zhang

2023

Acta Geod Geophys

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A cyclone formation, eastward plume drag, ion-hydration process, and the consequent ionospheric changes following the 2022 Hunga Tonga-Hunga Ha'apai volcanic eruption

Freeshah,

Adil,

Şentürk

et al. 2024

Advances in Space Research

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Leveraging the CYGNSS Spaceborne GNSS‐R Observations to Detect Ionospheric Irregularities Over the Oceans: Method and Verification

Abstract: Under geomagnetic storms, the prompt penetrating electric field and/or disturbance dynamo electric field could instantly affect the equatorial ionosphere, forcing the occurrence and development of different scale ionospheric irregularities (

Cited by 6 publications

References 82 publications

On the Correlation Between Earthquakes and Prior Ionospheric Scintillations Over the Ocean: A Study Using GNSS-R Data Between 2017 and 2021

On the Correlation Between Earthquakes and Prior Ionospheric Scintillations Over the Ocean: A Study Using GNSS-R Data Between 2017 and 2021

Using real GNSS data for ionospheric disturbance remote sensing associated with strong thunderstorm over Wuhan city

A cyclone formation, eastward plume drag, ion-hydration process, and the consequent ionospheric changes following the 2022 Hunga Tonga-Hunga Ha'apai volcanic eruption

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