A comparative study of ionospheric IRIEup and ISP assimilative models during some intense and severe geomagnetic storms

Pietrella, M.; Pignalberi, Alessio; Pezzopane, Michael; Pignatelli, A.; Azzarone, Adriano; Rizzi, Rolando

doi:10.1016/j.asr.2018.02.026

Cited by 8 publications

(8 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Secondly, this discrete dataset of effective indices is used to generate two-dimensional European maps of these indices by applying the Universal Kriging method (Kitanidis 1997). Computed maps of effective indices are then used as input for the IRI model to obtain over the European region a three-dimensional updated representation of the electron density (Pietrella et al 2018; Pignalberi et al 2018c). bTEC values are then calculated over the three considered locations, SODA, JOEN and RIGA, by numerically integrating the following equation:where h b is the height of the base of the ionosphere and N e ( h ) bottom is the bottom side electron density profile calculated by the IRI UP method.…”

Section: Methodsmentioning

confidence: 99%

On some features characterizing the plasmasphere–magnetosphere–ionosphere system during the geomagnetic storm of 27 May 2017

Pezzopane

Corpo

Piersanti

et al. 2019

Earth Planets Space

View full text Add to dashboard Cite

This paper presents how the magnetosphere–plasmasphere–ionosphere system was affected as a whole during the geomagnetic storm peaking on 27 May 2017. The interplanetary conditions, the magnetospheric response in terms of the magnetopause motion, and the ionospheric current flow pattern were investigated using data, respectively, from the WIND spacecraft, from GOES15, GOES13, THEMIS E, THEMIS D and THEMIS A satellites and from the INTERMAGNET magnetometer array. The main objective of the work is to investigate the plasmaspheric dynamics under disturbed conditions and its possible relation to the ionospheric one; to reach this goal, the equatorial plasma mass densities derived from geomagnetic field line resonance observations at the European quasi-Meridional Magnetometer Array (EMMA) and total electron content values obtained through three GPS receivers close to EMMA were jointly considered. Despite the complexity of physical mechanisms behind them, we found a similarity between the ionospheric and plasmaspheric characteristic recovery times. Specifically, the ionospheric characteristic time turned out to be ~ 1.5 days, ~ 2 days and ~ 3.1 days, respectively, at L ~ 3, L ~ 4 and L ~ 5, while the plasmaspheric one, for similar L values, ranged from ~ 1 day to more than 4 days.

show abstract

Section: Methodsmentioning

confidence: 99%

On some features characterizing the plasmasphere–magnetosphere–ionosphere system during the geomagnetic storm of 27 May 2017

Pezzopane

Corpo

Piersanti

et al. 2019

Earth Planets Space

View full text Add to dashboard Cite

show abstract

“…Recently, Pignalberi et al [14,50,51] proposed a new data-assimilation method, based on ionosonde data, to update the IRI model in the European region through the calculation of an effective IG 12 ; their procedure has been recently updated by assimilating also vTEC values [52]. Pezzopane et al [11,12] and Pietrella et al [15] assimilating ionosonde F2-layer peak parameter measurements first determined an effective sunspot number which is used by the Simplified Ionospheric Regional Model [16], and then applied an interpolation technique to assimilate into IRI the full electron density profile recorded by ionosondes.…”

Section: Real-time Iri and The Irtam Methodsmentioning

confidence: 99%

“…Therefore, in this context, in recent years the near real-time specification of the ionosphere has become more and more important to nowcast and possibly mitigate the adverse consequences of Space Weather events. For this purpose, several models able to assimilate real-time ionospheric measurements have been recently proposed [3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Towards a Real-Time Description of the Ionosphere: A Comparison between International Reference Ionosphere (IRI) and IRI Real-Time Assimilative Mapping (IRTAM) Models

2021

View full text Add to dashboard Cite

This paper focuses on a detailed comparison, based on the F2-layer peak characteristics foF2 and hmF2, between the International Reference Ionosphere (IRI), which is a climatological empirical model of the terrestrial ionosphere, and the IRI Real-Time Assimilative Mapping (IRTAM) procedure, which is a real-time version of IRI based on data assimilation from a global network of ionosondes. To perform such a comparison, two different kinds of datasets have been considered: (1) foF2 and hmF2 as recorded by 40 ground-based ionosondes spread all over the world from 2000 to 2019; (2) foF2 and hmF2 from space-based COSMIC/FORMOSAT-3 radio occultation measurements recorded from 2006 to 2018. The aim of the paper is to understand whether and how much IRTAM improves IRI foF2 and hmF2 outputs for different locations and under different diurnal, seasonal, solar and magnetic activity conditions. The main outcomes of the study are: (1) when ionosonde observations are considered for validation, IRTAM significantly improves the IRI foF2 modeling both in accuracy and precision, while a slight improvement in the IRI hmF2 modeling is observed for specific locations and conditions; (2) when COSMIC observations are considered for validation, no noticeable improvement is observed from the IRTAM side for both foF2 and hmF2. Indeed, IRTAM can improve the IRI foF2 description only nearby the assimilated ionosonde locations, while the IRI hmF2 description is always more accurate and precise than IRTAM one.

show abstract

“…As this is the major strength of the assimilation procedure in this study, one should mainly pay attention to the F2 region and to the fo F2 and hm F2 parameters in Figure . However, Pietrella et al () have recently extended the IRI UP method by also assimilating the whole electron density profile measured by an ionosonde station and not only fo F2 and M (3000)F2, which improves significantly the modeled bottomside representation. In the supporting information the interested reader can find an overall chart (Figure S1) summarizing each step of the proposed approach and its validation.…”

Section: On the Assimilation Of Gnss‐derived Vtec Measurements For Upmentioning

confidence: 99%

“…(b) Same as panel (a) but for normalized root-mean-square error (NRMSE). (c) Same as panel (a) but for the R correlation coefficient Pietrella, et al 2018. assimilates foF2 and M(3000)F2 measured by ionosondes, while now IRI UP assimilates foF2 and M(3000)F2 values derived from vTEC measurements.…”

mentioning

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

A comparative study of ionospheric IRIEup and ISP assimilative models during some intense and severe geomagnetic storms

Cited by 8 publications

References 42 publications

On some features characterizing the plasmasphere–magnetosphere–ionosphere system during the geomagnetic storm of 27 May 2017

On some features characterizing the plasmasphere–magnetosphere–ionosphere system during the geomagnetic storm of 27 May 2017

Towards a Real-Time Description of the Ionosphere: A Comparison between International Reference Ionosphere (IRI) and IRI Real-Time Assimilative Mapping (IRTAM) Models

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

Contact Info

Product

Resources

About