Assimilation of autoscaled data and regional and local ionospheric models as input sources for real‐time 3‐D International Reference Ionosphere modeling

Pezzopane, Michael; Pietrella, M.; Pignatelli, A.; Zolesi, B.; Cander, Ljiljana R.

doi:10.1029/2011rs004697

Cited by 53 publications

(52 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We can identify methods modifying the coefficients of an empirical model (see Brunini et al, 2011;Galkin et al, 2012), methods updating the model towards the measurements without modification of its coefficients (seeods combining both (see Pezzopane et al, 2011) and approaches using physical background models and including the estimation of ionospheric drivers, such as neutral winds, in the state vector (see Schunk et al, 2004;Scherliess et al, 2009;Wang et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Tomography of the ionospheric electron density with geostatistical inversion

et al. 2015

View full text Add to dashboard Cite

Abstract. In relation to satellite applications like global navigation satellite systems (GNSS) and remote sensing, the electron density distribution of the ionosphere has significant influence on trans-ionospheric radio signal propagation. In this paper, we develop a novel ionospheric tomography approach providing the estimation of the electron density's spatial covariance and based on a best linear unbiased estimator of the 3-D electron density. Therefore a non-stationary and anisotropic covariance model is set up and its parameters are determined within a maximum-likelihood approach incorporating GNSS total electron content measurements and the NeQuick model as background. As a first assessment this 3-D simple kriging approach is applied to a part of Europe. We illustrate the estimated covariance model revealing the different correlation lengths in latitude and longitude direction and its non-stationarity. Furthermore, we show promising improvements of the reconstructed electron densities compared to the background model through the validation of the ionosondes Rome, Italy (RO041), and Dourbes, Belgium (DB049), with electron density profiles for 1 day.

show abstract

Section: Introductionmentioning

confidence: 99%

Tomography of the ionospheric electron density with geostatistical inversion

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The simple complex eikonal equations for calculating the QL approximation of nondeviative amplitude absorption due to the propagation across the Dlayer were encoded as subroutine of an ionospheric raytracing (IONORT) program [20]. The IONORT program, which simulates the three-dimensional (3D) ray-tracing for high frequency (HF) waves in the ionosphere, runs on the assimilative IRI-SIRMUP-P (ISP) discrete model over the Mediterranean area [21,22]. The IONORT-ISP results were compared to a more elaborate semiempirical formula, that is, the ICEPAC [23], which refers to various phenomenological parameters such as the critical frequency of E-layer.…”

Section: Discussionmentioning

confidence: 99%

Scientific Review on the Ionospheric Absorption and Research Prospects of a Complex Eikonal Model for One-Layer Ionosphere

Settimi

Ippolito

Cesaroni

et al. 2014

International Journal of Geophysics

View full text Add to dashboard Cite

The present paper conducts a scientific review on ionospheric absorption, extrapolating the research prospects of a complex eikonal model for one-layer ionosphere. As regards the scientific review, here a quasi-longitudinal (QL) approximation for nondeviative absorption is deduced which is more refined than the corresponding equation reported by Davies (1990). As regards the research prospects, a complex eikonal model for one-layer ionosphere is analyzed in depth here, already discussed by . A simple formula is deduced for a simplified problem. A flat, layered ionospheric medium is considered, without any horizontal gradient. The authors prove that the QL nondeviative amplitude absorption according to the complex eikonal model is more accurate than Rawer's theory (1976) in the range of middle critical frequencies.

show abstract

“…The predictions of M3000F2 and foF2 thus obtained, given as input parameters to the IRI model, can provide a short-term forecasting of 3-D electron density mapping of the ionosphere over the European area following a technique similar to that recently utilized to achieve quasi-real-time maps of electron density over the Mediterranean region (Pezzopane et al, 2011).…”

Section: Fig 7 Same Asmentioning

confidence: 99%

“…ionosphere in real time for quiet and disturbed geomagnetic conditions (Pezzopane et al, 2011 was developed and then used for calculating a 3-D ray tracing in the ionospheric medium on the base of measured oblique ionograms over a given radio link (Settimi et al, 2013).…”

mentioning

confidence: 99%

Empirical regional models for the short-term forecast of <i>M3000F2</i> during not quiet geomagnetic conditions over Europe

Pietrella

2013

Ann. Geophys.

Self Cite

View full text Add to dashboard Cite

Abstract.Twelve empirical local models have been developed for the long-term prediction of the ionospheric characteristic M3000F2, and then used as starting point for the development of a short-term forecasting empirical regional model of M3000F2 under not quiet geomagnetic conditions. Under the assumption that the monthly median measurements of M3000F2 are linearly correlated to the solar activity, a set of regression coefficients were calculated over 12 months and 24 h for each of 12 ionospheric observatories located in the European area, and then used for the long-term prediction of M3000F2 at each station under consideration.Based on the 12 long-term prediction empirical local models of M3000F2, an empirical regional model for the prediction of the monthly median field of M3000F2 over Europe (indicated as RM_M3000F2) was developed.Thanks to the IFELM_foF2 models, which are able to provide short-term forecasts of the critical frequency of the F2 layer (foF2 STF ) up to three hours in advance, it was possible to considerer the Brudley-Dudeney algorithm as a function of foF2 STF to correct RM_M3000F2 and thus obtain an empirical regional model for the short-term forecasting of M3000F2 (indicated as RM_M3000F2_BD) up to three hours in advance under not quiet geomagnetic conditions.From the long-term predictions of M3000F2 provided by the IRI model, an empirical regional model for the forecast of the monthly median field of M3000F2 over Europe (indicated as IRI_RM_M3000F2) was derived.IRI_RM_M3000F2 predictions were modified with the Bradley-Dudeney correction factor, and another empirical regional model for the short-term forecasting of M3000F2 (indicated as IRI_RM_M3000F2_BD) up to three hours ahead under not quiet geomagnetic conditions was obtained.The main results achieved comparing the performance of RM_M3000F2, RM_M3000F2_BD, IRI_RM_M3000F2, and IRI_RM_M3000F2_BD are (1) in the case of moderate geomagnetic activity, the Bradley-Dudeney correction factor does not improve significantly the predictions; (2) under disturbed geomagnetic conditions, the Bradley-Dudeney formula improves the predictions of RM_M3000F2 in the entire European area; (3) in the case of very disturbed geomagnetic conditions, the Bradley-Dudeney algorithm is very effective in improving the performance of IRI_RM_M3000F2; (4) under moderate geomagnetic conditions, the long-term prediction maps of M3000F2 generated by RM_M3000F2 can be considered as short-term forecasting maps providing very satisfactory results because quiet geomagnetic conditions are not so diverse from moderate geomagnetic conditions; (5) the forecasting maps originated by RM_M3000F2, RM_M3000F2_BD, and IRI_RM_M3000F2_BD show some regions where the forecasts are not satisfactory, but also wide sectors where the M3000F2 forecasts quite faithfully match the M3000F2 observations, and therefore RM_M3000F2, RM_M3000F2_BD, and IRI_RM_M3000F2_BD could be exploited to produce short-term forecasting maps of M3000F2 over Europe up to 3 h in advance.

show abstract

Assimilation of autoscaled data and regional and local ionospheric models as input sources for real‐time 3‐D International Reference Ionosphere modeling

Cited by 53 publications

References 29 publications

Tomography of the ionospheric electron density with geostatistical inversion

Tomography of the ionospheric electron density with geostatistical inversion

Scientific Review on the Ionospheric Absorption and Research Prospects of a Complex Eikonal Model for One-Layer Ionosphere

Empirical regional models for the short-term forecast of <i>M3000F2</i> during not quiet geomagnetic conditions over Europe

Contact Info

Product

Resources

About

Assimilation of autoscaled data and regional and local ionospheric models as input sources for real‐time 3‐D International Reference Ionosphere modeling

Cited by 53 publications

References 29 publications

Tomography of the ionospheric electron density with geostatistical inversion

Tomography of the ionospheric electron density with geostatistical inversion

Scientific Review on the Ionospheric Absorption and Research Prospects of a Complex Eikonal Model for One-Layer Ionosphere

Empirical regional models for the short-term forecast of &lt;i&gt;M3000F2&lt;/i&gt; during not quiet geomagnetic conditions over Europe

Contact Info

Product

Resources

About

Empirical regional models for the short-term forecast of <i>M3000F2</i> during not quiet geomagnetic conditions over Europe