Automatic scaling of critical frequency foF2 from ionograms recorded at São José dos Campos, Brazil: a comparison between Autoscala and UDIDA tools

Pezzopane, Michael; Pillat, V. G.; Fagundes, P. R.

doi:10.1007/s11600-017-0015-z

Cited by 10 publications

(3 citation statements)

References 51 publications

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“…Table I shows the different confidence levels for daytime and nighttime ionograms to evaluate the performance of our method and Autoscala versus the manually scaled results of foF2 [23], [24]. We can see that the proposed method shows good results for the confidence levels from 1.0 to 5.0 with percentages of correct scaled ionograms over 70% for daytime and 60% for nighttime and reaching 94.9% for daytime and 90.1% for nighttime, respectively.…”

Section: Resultsmentioning

confidence: 92%

Algorithm for Automatic Scaling of the F-Layer Using Image Processing of Ionograms

Fagre

Prados

Scandaliaris

et al. 2021

IEEE Trans. Geosci. Remote Sensing

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In this article, a method is presented for automatic scaling of the F-layer from ionograms based on an image processing technique for the extraction of curvilinear structures. The algorithm obtains the ordinary and extraordinary traces and determines the F2 critical frequency. The performance was tested using a wide data set of ionograms recorded by the Advanced Ionospheric Sounder/Istituto Nazionale di Geofisica e Vulcanologia (AIS/INGV) ionosonde located at Universidad Nacional de Tucumán, Tucuman, Argentina, and the results are compared with manual scaling and also with Autoscala method.Results from these tests show that the method is feasible and can be the seed for the development of a robust automated scaling system.

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Section: Resultsmentioning

confidence: 92%

Algorithm for Automatic Scaling of the F-Layer Using Image Processing of Ionograms

Fagre

Prados

Scandaliaris

et al. 2021

IEEE Trans. Geosci. Remote Sensing

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show abstract

“…Different analytical functions have been used to model the topside ionospheric density profile (e.g., exponential, Epstein, Chapman) (Nsumei et al, 2012;Pignalberi et al, 2018a;Reinisch et al, 2007). These functions and their variations may adopt fixed or variable scale height.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Ionosonde total electron content evaluation using International Global Navigation Satellite System Service data

et al. 2020

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Abstract. In this work, a period of 2 years (2016–2017) of ionospheric total electron content (ITEC) from ionosondes operating in Brazil is compared to the International GNSS (Global Navigation Satellite System) Service (IGS) vertical total electron content (vTEC) data. Sounding instruments from the National Institute for Space Research (INPE) provided the ionograms used, which were filtered based on confidence score (CS) and C-Level flag evaluation. Differences between vTEC from IGS maps and ionosonde TEC were accumulated in terms of root mean squared error (RMSE). As expected, we noticed that the ITEC values provided by ionosondes are systematically underestimated, which is attributed to a limitation in the electron density modeling for the ionogram topside that considers a fixed scale height, which makes density values decay too rapidly above ∼800 km, while IGS takes in account electron density from GNSS stations up to the satellite network orbits. The topside density profiles covering the plasmasphere were re-modeled using two different approaches: an optimization of the adapted α-Chapman exponential decay that includes a transition function between the F2 layer and plasmasphere and a corrected version of the NeQuick topside formulation. The electron density integration height was extended to 20 000 km to compute TEC. Chapman parameters for the F2 layer were extracted from each ionogram, and the plasmaspheric scale height was set to 10 000 km. A criterion to optimize the proportionality coefficient used to calculate the plasmaspheric basis density was introduced in this work. The NeQuick variable scale height was calculated using empirical parameters determined with data from Swarm satellites. The mean RMSE for the whole period using adapted α-Chapman optimization reached a minimum of 5.32 TECU, that is, 23 % lower than initial ITEC errors, while for the NeQuick topside formulation the error was reduced by 27 %.

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“…UDIDA addressed reducing the manual work in the ionograms by resulting time, frequency versus height information from each ionogram for further processing [5]. Whereas the processed results of UDIDA require fine-tuning, Autoscala results reduce error during specific periods and events [6]. Lynn (2017) proposed a method for ionogram displaying and auto-scaling of F layer [7].…”

Section: Introductionmentioning

confidence: 99%

An Automatic CADI’s Ionogram Scaling Software Tool for Large Ionograms Data Analytics

2022

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for funding this research through SR/FST/ESI-130/2013(C) FIST program. The authors are also thankful to Mr. B Suneel Kumar, in-charge of Tata Institute of Fundamental Research (TIFR) Balloon Facility, Hyderabad for providing necessary permissions to access the CADI instrument and High-Performance Computing (HPC) for data analysis and also thank Prof D K Ojha, Prof R K Manchanda and technical team members especially Mr. K. Santosh, Scientific Officer (TIFR) for maintaining the instrument and data.

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Automatic scaling of critical frequency foF2 from ionograms recorded at São José dos Campos, Brazil: a comparison between Autoscala and UDIDA tools

Cited by 10 publications

References 51 publications

Algorithm for Automatic Scaling of the F-Layer Using Image Processing of Ionograms

Algorithm for Automatic Scaling of the F-Layer Using Image Processing of Ionograms

Ionosonde total electron content evaluation using International Global Navigation Satellite System Service data

An Automatic CADI’s Ionogram Scaling Software Tool for Large Ionograms Data Analytics

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