Global Comparison of F2-Layer Peak Parameters Estimated by IRI-2016 With Ionospheric Radio Occultation Data During Solar Minimum

Bai, Weihua; Tan, Guangyuan; Sun, Yueqiang; Xia, Junming; Du, Qingyun; Yang, Guanglin; Meng, Xiangli; Zhao, Danyang; Liu, Congliang; Cai, Yuerong; Wang, Dongwei; Yin, Cong; Hu, Peng

doi:10.1109/access.2021.3049451

Cited by 5 publications

(5 citation statements)

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“…The FM is employed to correct the ionospheric error to BA during RO data processing by the method of statistical optimization. The ionosphere frequently interferes with GPS signals [17]. There are several approaches for ionospheric calibration: the linear combination of two frequencies corrects the first order; the K-correction corrects the higher-order [18]; the statistical optimization corrects all the ionospheric error [19].…”

Section: Fm Algorithm In Data Assimilation and Ro Data Processingmentioning

confidence: 99%

Evaluation of Forward Models for GNSS Radio Occultation Data Processing and Assimilation

et al. 2022

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In radio occultation (RO) data processing and data assimilation, the forward model (FM) is used to calculate bending angle (BA) from refractivity (N). The accuracy and precision of forward modeled BA are affected by refractivity profiles and FM methods, including Abel integral algorithms (direct, exp, exp_T, linear) and methods of interpolating refractivity during integral (log-cubic spline and log-linear). Experiment 1 compares these forward model methods by comparing the difference and relative difference (RD) of the experimental value (forward modeled ECMWF analysis) and the true value (BA of FY3D RO data). Results suggested that the exp with log-cubic spline (log-cubic) interpolation is the most accurate FM because it has better integral accuracy (less than 2%) to inputs, especially when the input is lower than an order of magnitude of 1 × 10−2 (that is, above 60 km). By contrast, the direct induced a 10% error, and the improvement of exp T to exp is limited. Experiment 2 simulated the exact errors of an FM (exp) based on inputs on different vertical resolutions. The inputs are refractivity profiles on model levels of three widely used analyses, including ECMWF 4Dvar analysis, final operational global analysis data (FNL), and ERA5. Results demonstrated that based on exp and log-cubic interpolation, BA on model level of ECMWF 4Dvar has the highest accuracy, whose RD is 0.5% between 0–35 km, 4% between 35–58 km, and 1.8% between 58–80 km. By contrast, the other two analyses have low accuracy. This paper paves the way to better understanding the FM, and simulation errors on model levels of three analyses can be a helpful FM error reference.

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Section: Fm Algorithm In Data Assimilation and Ro Data Processingmentioning

confidence: 99%

Evaluation of Forward Models for GNSS Radio Occultation Data Processing and Assimilation

et al. 2022

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“…Bai et al compared URSI NmF2, BSE hmF2, and newly added AMTB hmF2 and SHU hmF2 generated by the IRI-2016 model with ionospheric RO (IRO) data including FY3C/GNOS and COSMIC from 2017 to 2019 in statistics and ionospheric climatology [46]. The comparison results indicate that the NmF2 predicted by IRI-2016 URSI is almost consistent with that of IRO, with a systematic bias of less than 10%.…”

Section: B Statistical and Climatological Evaluation Of The Iri-2016 ...mentioning

confidence: 99%

“…Compared to the BSE/AMTB option, the SHU option estimates hmF2 more closely to IRO data. Modified from [46].…”

Section: B Statistical and Climatological Evaluation Of The Iri-2016 ...mentioning

confidence: 99%

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The Accuracy Assessment and Scientific Research Progress of Ionospheric Radio Occultation Products Observed by Fengyun-3 GNOS

Bai

Liu

Tan

et al. 2022

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

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Global Navigation Satellite System (GNSS) Radio Occultation (RO) is a novel detection technique that can provide global ionospheric products with high vertical resolution, high precision, and low cost. In recent years, China has launched the FY3 series of meteorological satellites carrying the first RO payload to simultaneously receive GPS (Global Positioning System) and BDS (BeiDou Navigation System) signals. In the accuracy assessment of RO products observed by GNOS (GNSS Occultation Sounder), the maximum F2-layer electron density (NmF2) of GPS occultation and BDS occultation have a standard deviation (std) of less than 20% in comparison with that of ionosondes. The std of F-layer worst-case ionospheric scintillation index ( 4) between COSMIC (Constellation Observing System for Meteorology, Ionosphere, and Climate) and FY3/GNOS is less than 0.1. The above results prove the high precision of FY3 ionospheric RO products. The RO products have been applied to preliminary scientific research and applications, e.g., the process of main phase and recovery phase of magnetic storms revealed by the NmF2 observed by FY3C/GNOS, the premidnight dynamics of F-layer strong scintillation during magnetic storms revealed by GNOS scintillation data, the ionospheric perturbation driven by Tonga volcano eruption revealed by FY3/GNOS, applications of the RO data for the research of sporadic E layers, evaluation of IRI model in statistics and ionospheric climatological characteristics, etc. With the successive network observation and continuous deployment of FY3 meteorological satellites, the continuous improvement of GNOS payload and the BDS system, massive high-precision ionospheric RO products will be developed and show more significant value.

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Graph-enabled spatio-temporal transformer for ionospheric prediction

Yu,

Yuan,

Chen

et al. 2024

GPS Solut

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Global Comparison of F2-Layer Peak Parameters Estimated by IRI-2016 With Ionospheric Radio Occultation Data During Solar Minimum

Cited by 5 publications

References 55 publications

Evaluation of Forward Models for GNSS Radio Occultation Data Processing and Assimilation

Evaluation of Forward Models for GNSS Radio Occultation Data Processing and Assimilation

The Accuracy Assessment and Scientific Research Progress of Ionospheric Radio Occultation Products Observed by Fengyun-3 GNOS

Graph-enabled spatio-temporal transformer for ionospheric prediction

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