Near real time IRI correction by TEC-GPS data

Barabashov, B. G.; Maltseva, O. A.; Pelevin, O.Y.

doi:10.1016/j.asr.2006.02.008

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Maltseva et al [] have shown that these two parameters do not always respond in synchrony to various solar and geomagnetic influences, but that the IRI can provide a useful estimate of the equivalent slab thickness (the ratio of TEC to N m F 2 ), to convert between the two. Barabashov et al [] have compared various correction methods to improve the fit between the model predictions and measured values of f o F 2 and found that applying a correction to the IRI's topside is most beneficial.…”

Section: Developments To the Ray Tracing Modelmentioning

confidence: 99%

Near real‐time input to a propagation model for nowcasting of HF communications with aircraft on polar routes

et al. 2016

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There is a need for improved techniques for nowcasting and forecasting (over several hours) HF propagation at northerly latitudes to support airlines operating over the increasingly popular trans-polar routes. In this paper the assimilation of real-time measurements into a propagation model developed by the authors is described, including ionosonde measurements The model incorporates various features (e.g. convecting patches of enhanced plasma density) of the polar ionosphere that are, in particular, responsible for off-great circle propagation and lead to propagation at times and frequencies not expected from on-great circle propagation alone. The model development is supported by the collection of HF propagation measurements over several paths within the polar cap, crossing the auroral oval, and along the mid-latitude trough.

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Section: Developments To the Ray Tracing Modelmentioning

confidence: 99%

Near real‐time input to a propagation model for nowcasting of HF communications with aircraft on polar routes

et al. 2016

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“…Some authors in the past pursued the goal of assimilating GNSS‐derived measurements in empirical climatological ionospheric models like IRI and NeQuick (Nava et al, ) in order to improve the description that these climatological models provide (Barabashov et al, ; Habarulema & Ssessanga, ; Hernandez‐Pajares et al, ; Komjathy & Langley, ; Komjathy et al, ; Maltseva et al, ; Nava et al, , , ; Olwendo & Cesaroni, ; Ssessanga et al, ). The approaches used, corresponding strengths and weaknesses, and results achieved by these authors have been summarized by Pignalberi et al ().…”

Section: Introductionmentioning

confidence: 99%

“…The procedure has been implemented and tested over the South African region but can be successfully applied in every region where both GNSS receivers networks and ionosonde stations are available. that these climatological models provide (Barabashov et al, 2006;Habarulema & Ssessanga, 2016;Hernandez-Pajares et al, 2002;Komjathy & Langley, 1996;Komjathy et al, 1998;Maltseva et al, 2010;Nava et al, 2005Nava et al, , 2006Nava et al, , 2011Olwendo & Cesaroni, 2016;Ssessanga et al, 2015). The approaches used, corresponding strengths and weaknesses, and results achieved by these authors have been summarized by Pignalberi et al (2018a).…”

Section: Introductionmentioning

confidence: 99%

On the Development of a Method for Updating an Empirical Climatological Ionospheric Model by Means of Assimilated vTEC Measurements From a GNSS Receiver Network

et al. 2019

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In this paper, a procedure for updating the International Reference Ionosphere (IRI) model by means of assimilated vertical total electron content (vTEC) measurements from a Global Navigational Satellite Systems (GNSS) receiver network is presented. This procedure stands as an additional implementation of the IRI UPdate (IRI UP) method, which is based on the assimilation of ionosonde derived F2 layer ionospheric characteristics. According to this, a mathematical procedure for obtaining foF2 and M(3000)F2 values from vTEC measurements is here proposed. Mathematical relationships between F2 layer characteristics and vTEC values have been derived using South African colocated ionosonde and GNSS stations. The same procedure can, however, be applied successfully in each region where such data are available. The goodness of the proposed IRI UP method, based on assimilated vTEC values, has been tested for several quiet and disturbed days in 2017 and 2018. IRI UP exhibits better performances than IRI for foF2, for most of the analyzed cases. Slight improvements are achieved in modeling hmF2 only for very disturbed periods in 2017. Due to the very good coverage of the terrestrial surface that GNSS receivers have achieved in recent years, we suggest that the method proposed here can be a good implementation of the IRI model for Space Weather nowcasting purposes, at least for foF2.

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“…This forecast is largely based on the presence of inertia in time series or on the identified physical laws. RTF relies mainly on ground-based ionospheric sounding (VS, OS) data or GNSS data [Barabashov et al, 2016;Ponomarchuk et al, 2013;Barabashov et al, 2006;Smirnov et al, 2013]. RTF differs from LTF largely because it accounts for current measurements.…”

Section: Introductionmentioning

confidence: 99%

Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal

Ilyin

Bubnova

Грозов

et al. 2018

Solar-Terrestrial Physics

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We present a technique of MUF real-time forecast based on time extrapolation for maximum observed frequencies smoothed over a long-term forecast along a given path. We have validated the technique of fitting current data from the long-term forecast, using the OPEMI model, transmission curve method for short paths, and method of normal waves for long paths (over 2000 km). This technique has been tested using data obtained at the chirp sounding network of ISTP SB RAS during periods of strong and weak solar activity. The quality of the forecast has been found to significantly improve in comparison to the long-term forecast, with advance intervals of real-time forecast from 15 to 30 min. The sessions, in which the real-time forecast error is less than 10 % for 15-min advance interval, comprise from 67 to 96 % of all sessions depending on season and radio path orientation.

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Near real time IRI correction by TEC-GPS data

Cited by 8 publications

References 12 publications

Near real‐time input to a propagation model for nowcasting of HF communications with aircraft on polar routes

Near real‐time input to a propagation model for nowcasting of HF communications with aircraft on polar routes

On the Development of a Method for Updating an Empirical Climatological Ionospheric Model by Means of Assimilated vTEC Measurements From a GNSS Receiver Network

Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal

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