Accuracy assessment of the ionospheric total electron content derived from COSMIC-2 radio occultation based on multi-source data

Jiang, Chunhua; An, Qianfang; Wang, Shuaimin; Nie, Wenfeng; Zhu, Huizhong; Liu, Guangsheng

doi:10.1016/j.asr.2024.02.051

Cited by 2 publications

(5 citation statements)

References 36 publications

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“…The association between the measurement vector and the measurement matrix was established using basis coefficients. The basis coefficient vector was estimated in the least squares sense, as shown in Equation (22). Ionospheric electron density reconstruction was estimated using the basis coefficient vector and signal subspace basis vectors for N l = 55, 800 voxels for each time epoch in a closed form.…”

Section: Resultsmentioning

confidence: 99%

“…The measurement matrix is computed using the basis vectors that correspond to the significant singular values calculated in F2 denoting the signal subspace and the sampling matrix obtained in F3. Basis coefficients are estimated in the least square sense using the measurement vector and the measurement matrix, as shown in Equation (22). Electron density reconstruction is then achieved by employing the basis vectors and estimated basis coefficients for each voxel within the region, as shown in Equation (23).…”

Section: Algorithm 5: Application Of the Reconstruction Algorithmmentioning

confidence: 99%

“…Using ground-based observations alone, with their inadequate geometry for capturing vertical ionospheric structures, leads to models with limited resolution and accuracy. The addition of RO data complements ground-based measurements by enhancing vertical resolution and expanding coverage, especially in the upper layers of the ionosphere [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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IONOLAB-Fusion: Fusion of Radio Occultation into Computerized Ionospheric Tomography

Yenen,

Arikan

2024

Atmosphere

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In this study, a 4-D, computerized ionospheric tomography algorithm, IONOLAB-Fusion, is developed to reconstruct electron density using both actual and virtual vertical and horizontal paths for all ionospheric states. The user-friendly algorithm only requires the coordinates of the region of interest and range with the desired spatio-temporal resolutions. The model ionosphere is formed using spherical voxels in a lexicographical order so that a 4-D ionosphere can be mapped to a 2-D matrix. The model matrix is formed automatically using a background ionospheric model with an optimized retrospective or near-real time manner. The singular value decomposition is applied to extract a subset of significant singular values and corresponding signal subspace basis vectors. The measurement vector is filled automatically with the optimized number of ground-based and space-based paths. The reconstruction is obtained in closed form in the least squares sense. When the performance of IONOLAB-Fusion across Europe was compared with ionosonde profiles, a 26.51% and 32.33% improvement was observed over the background ionospheric model for quiet and disturbed days, respectively. When compared with GIM-TEC, the agreement of IONOLAB-Fusion was 37.89% and 31.58% better than those achieved with the background model for quiet and disturbed days, respectively.

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Section: Resultsmentioning

confidence: 99%

Section: Algorithm 5: Application Of the Reconstruction Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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IONOLAB-Fusion: Fusion of Radio Occultation into Computerized Ionospheric Tomography

Yenen,

Arikan

2024

Atmosphere

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“…The VTEC values from FY3C RO include gross errors due to observation noise and ionospheric plasma inhomogeneity [32]. In this study, to remove unqualified products, the mean deviation (MD) method was applied as per the details given by Jiang et al [32].…”

Section: Cosmic and Fy3c Radio Occultation Datamentioning

confidence: 99%

“…These maps are widely used in the studies associated with the ionosphere. There are many studies on the examination of ionospheric parameters obtained using different data sources [20,[23][24][25][26][27][28][29][30][31][32]. Xu et al [27] examined the ionospheric parameters retrieved from FY3C/COSMIC RO and found that FY3C RO TEC and COSMIC RO TEC correlated with GIM TEC by 95% and 92%, respectively.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Ionospheric VTEC Retrieved from Multi-Instrument Observations

Oztan,

Duman,

Alcay

et al. 2024

Atmosphere

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This study examines the Vertical Total Electron Content (VTEC) estimation performance of multi-instruments on a global scale during different ionospheric conditions. For this purpose, GNSS-based VTEC data from Global Ionosphere Maps (GIMs), COSMIC (F7/C2)—Feng–Yun 3C (FY3C) radio occultation (RO) VTEC, SWARM–VTEC, and JASON–VTEC were utilized. VTEC assessments were conducted on three distinct days: geomagnetic active (17 March 2015), solar active (22 December 2021), and quiet (11 December 2021). The VTEC values of COSMIC/FY3C RO, SWARM, and JASON were compared with data retrieved from GIMs. According to the results, COSMIC RO–VTEC is more consistent with GIM–VTEC on a quiet day (the mean of the differences is 4.38 TECU), while the mean of FY3C RO–GIM differences is 7.33 TECU on a geomagnetic active day. The range of VTEC differences between JASON and GIM is relatively smaller on a quiet day, and the mean of differences on active/quiet days is less than 6 TECU. Besides the daily comparison, long-term results (1 January–31 December 2015) were also analyzed by considering active and quiet periods. Results show that Root Mean Square Error (RMSE) values of COSMIC RO, FY3C RO, SWARM, and JASON are 5.02 TECU, 6.81 TECU, 16.25 TECU, and 5.53 TECU for the quiet period, and 5.21 TECU, 7.07 TECU, 17.48 TECU, and 5.90 TECU for the active period, respectively. The accuracy of each data source was affected by solar/geomagnetic activities. The deviation of SWARM–VTEC is relatively greater. The main reason for the significant differences in SWARM–GIM results is the atmospheric measurement range of SWARM satellites (460 km–20,200 km (SWARM A, C) and 520 km–20,200 km (SWARM B), which do not contain a significant part of the ionosphere in terms of VTEC estimation.

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Accuracy assessment of the ionospheric total electron content derived from COSMIC-2 radio occultation based on multi-source data

Cited by 2 publications

References 36 publications

IONOLAB-Fusion: Fusion of Radio Occultation into Computerized Ionospheric Tomography

IONOLAB-Fusion: Fusion of Radio Occultation into Computerized Ionospheric Tomography

Analysis of Ionospheric VTEC Retrieved from Multi-Instrument Observations

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