.png){kind=icon}
.png){kind=icon}
Return
Calibration and Fusion of GOLD-Inferred TEC Data With Ground-Based TEC
.png){kind=icon}
OA
AI
M
S
G
H
Y
DOI：10.1029/2026SW004978.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Ground-based Global Navigation Satellite System (GNSS) receivers provide primary total electron content (TEC) measurements used to monitor ionospheric variability, yet their sparse distribution over oceanic and equatorial regions limits global coverage and model accuracy. A far-ultraviolet spectrograph aboard the Global-scale Observations of the Limb and Disk (GOLD) mission provides continuous observations of the OI 135.6 nm emission radiance, which can be used to infer TEC across these undersampled regions. We present a framework for filtering and calibrating TEC from GOLD observations using the retrieval technique developed by Qin et al. (2023, https://doi.org/10.1029/2023ea003222) to produce an enhanced, bias-corrected data set (gTEC) that can be combined with well-validated ground-based TEC sources, such as the Madrigal TEC. After filtering GOLD observations to remove solar and auroral contamination, we apply an adaptive quantile-mapping calibration method that aligns the cumulative distribution functions of GOLD and Madrigal TEC. The resulting gTEC achieves a mean absolute error of ∼1–2 TECU relative to Madrigal, reproducing ∼53% of its natural variability within one standard deviation. Daily averaged spatial coverage improves by ∼11.62 ± 3.65% for frames with corresponding GOLD data, especially over the equatorial Atlantic, where existing databases lack sufficient observations. The integration of gTEC into the Video Imputation with SoftImpute, Temporal smoothing and Auxiliary data (VISTA) ionospheric TEC algorithm yields considerable improvement in the reproduction of the Equatorial Ionization Anomaly (EIA) structure and asymmetry, as well as mesoscale Equatorial Plasma Bubble (EPB) features. These results demonstrate that gTEC can substantially enhance global ionospheric specification and modeling and improve data assimilation capabilities.
Keywords:
total electron content
quantile mapping
data fusion
equatorial plasma bubbles
equatorial ionization anomaly
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
S
IF:
0
Papers:
115
Citations:
0
Organization
Cited Papers