2012 9th International Conference on Communications (COMM) 2012
DOI: 10.1109/iccomm.2012.6262562
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of the refractive index structure constant prediction using radiosonde data to in-situ thermosonde measurements

Abstract: Abstract   Inter-comparisons between in-situ thermosonde measurements of atmospheric scintillations and the estimates of the models based on the radiosonde data are presented here. The thermosondes, which provide in situ measurement of optical turbulence by measuring temperature variance, give very high spatio-temporal resolution of the refractive index structure constant profiles(ࢠ) at about 7.5 m vertical height resolution.Only a few studies have been conducted to compare the scintillation estimates base… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 10 publications
0
2
0
Order By: Relevance
“…Even though this approach has a theoretical basis, models of the refractive index gradient M and the outer scale of turbulence L 0 must still be chosen, as for example, in Abahamid et al (2004) and Montoya et al (2017). This is also the approach followed in Bi et al (2020) and Belu and Jumper (2012), where 𝐴𝐴 𝐴𝐴 2 𝑛𝑛 profiles computed with meteorological data from radiosonde measurements are then compared to 𝐴𝐴 𝐴𝐴 2 𝑛𝑛 measurements coming from thermosondes. A similar model is used in Qing et al (2020) but using meteorological quantities coming from NWP simulations instead of radiosonde measurements.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Even though this approach has a theoretical basis, models of the refractive index gradient M and the outer scale of turbulence L 0 must still be chosen, as for example, in Abahamid et al (2004) and Montoya et al (2017). This is also the approach followed in Bi et al (2020) and Belu and Jumper (2012), where 𝐴𝐴 𝐴𝐴 2 𝑛𝑛 profiles computed with meteorological data from radiosonde measurements are then compared to 𝐴𝐴 𝐴𝐴 2 𝑛𝑛 measurements coming from thermosondes. A similar model is used in Qing et al (2020) but using meteorological quantities coming from NWP simulations instead of radiosonde measurements.…”
Section: Introductionmentioning
confidence: 99%
“…This is also the approach followed in Bi et al. (2020) and Belu and Jumper (2012), where Cn2 ${C}_{n}^{2}$ profiles computed with meteorological data from radiosonde measurements are then compared to Cn2 ${C}_{n}^{2}$ measurements coming from thermosondes. A similar model is used in Qing et al.…”
Section: Introductionmentioning
confidence: 99%