2017
DOI: 10.1051/swsc/2017021
|View full text |Cite
|
Sign up to set email alerts
|

Long-term variations of the upper atmosphere parameters on Rome ionosonde observations and their interpretation

Abstract: -A recently proposed self-consistent approach to the analysis of thermospheric and ionospheric long-term trends has been applied to Rome ionosonde summer noontime observations for the period. This approach includes: (i) a method to extract ionospheric parameter long-term variations; (ii) a method to retrieve from observed f o F 1 neutral composition (O, O 2 , N 2 ), exospheric temperature, Tex and the total solar EUV flux with l < 1050 Å; and (iii) a combined analysis of the ionospheric and thermospheric para… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
10
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(11 citation statements)
references
References 51 publications
1
10
0
Order By: Relevance
“…The spatial and temporal (relative) variations of all thermospheric parameters are from the MSIS‐86 model. The validity of this assumption is confirmed by a comparison of the retrieved neutral gas density to the excellent CHAMP/STAR observations (Mikhailov & Perrone, ; Perrone et al, ) as well as by a good agreement with the EUV flux model for aeronomic calculations model (Mikhailov & Perrone, ) the latter having nothing common with the retrieval process. If this assumption were absolutely wrong, we could hardly get such testing results (section 2.3). P&M retrieve exospheric temperature (Tex) from f o F 1 but assume without justification that the other two MSIS thermospheric temperature parameters (temperature at 120 km and shape factor) are correct .…”
Section: Introductionmentioning
confidence: 69%
“…The spatial and temporal (relative) variations of all thermospheric parameters are from the MSIS‐86 model. The validity of this assumption is confirmed by a comparison of the retrieved neutral gas density to the excellent CHAMP/STAR observations (Mikhailov & Perrone, ; Perrone et al, ) as well as by a good agreement with the EUV flux model for aeronomic calculations model (Mikhailov & Perrone, ) the latter having nothing common with the retrieval process. If this assumption were absolutely wrong, we could hardly get such testing results (section 2.3). P&M retrieve exospheric temperature (Tex) from f o F 1 but assume without justification that the other two MSIS thermospheric temperature parameters (temperature at 120 km and shape factor) are correct .…”
Section: Introductionmentioning
confidence: 69%
“…The perturbations can be detected at the ground level, for instance by magnetometers. Disturbances associated with such enhanced solar energy inputs are in general called geomagnetic storms (Gonzales et al, 1994;Buonsanto, 1999) or geospheric storms (Prölss, 2004). Different types of solar agents that are mainly responsible for geomagnetic disturbances have been analyzed with respect to their geoeffectiveness by Kakad et al (2019), Georgieva et al (2006), Fenrich and Luhmann (1998), Leamon et al (2002), Prölss (2004) and many others.…”
Section: Variability Of the Ionospherementioning
confidence: 99%
“…During night time electron concentration decreases at all heights due to recombination processes and a lack of ionizing radiation. It leads to practical disappearance of all ion pairs below the F layer that remains present due to slow recombination processes at its height (Davies, 1990;Rishbeth, 1998;Prölss, 2004, among many others). As a measure of the ability of the Earth's atmosphere to absorb incoming solar radiation, we can consider the maximum electron concentration NmF2 in the highest ionospheric level F or F2 if present.…”
Section: Variability Of the Ionospherementioning
confidence: 99%
See 2 more Smart Citations