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Statistical analysis and modelling of sporadic E layer over Europe. / Zaalov, N. Y.; Moskaleva, E. V.

In: Advances in Space Research, Vol. 64, No. 6, 15.09.2019, p. 1243-1255.

Research output: Contribution to journal › Article › peer-review

Harvard

Zaalov, NY & Moskaleva, EV 2019, 'Statistical analysis and modelling of sporadic E layer over Europe', Advances in Space Research, vol. 64, no. 6, pp. 1243-1255. https://doi.org/10.1016/j.asr.2019.06.034

APA

Zaalov, N. Y., & Moskaleva, E. V. (2019). Statistical analysis and modelling of sporadic E layer over Europe. Advances in Space Research, 64(6), 1243-1255. https://doi.org/10.1016/j.asr.2019.06.034

Vancouver

Zaalov NY, Moskaleva EV. Statistical analysis and modelling of sporadic E layer over Europe. Advances in Space Research. 2019 Sep 15;64(6):1243-1255. https://doi.org/10.1016/j.asr.2019.06.034

Author

Zaalov, N. Y. ; Moskaleva, E. V. / Statistical analysis and modelling of sporadic E layer over Europe. In: Advances in Space Research. 2019 ; Vol. 64, No. 6. pp. 1243-1255.

BibTeX

@article{d2c25420ff9f4ebf9cd57bacc0591ce3,
title = "Statistical analysis and modelling of sporadic E layer over Europe",
abstract = "This paper describes a study of the daily and yearly variability of one of the main characteristics of sporadic E layers (Es), the critical frequency (foEs). Our analysis is based on ionograms recorded by GIRO network ionosondes. The study estimates the spatial and temporal variability of the Es layer parameters and generates their statistics at different seasons and phases of the solar cycle. In turn, the statistics of the Es layer parameters can provide an assessment of the capability of the HF propagation forecasting. Further, maps of the distribution of Es layer critical frequency are produced. This paper implements the “cloud” model of Es layer in HF propagation model (Northern Ionosphere Model & Ray Tracing, NIM-RT) that can accurately reproduce many features observed in experimental measurements. Within this framework, a number of vertical sounding ionograms with the presence of Es layer are simulated based on the NIM-RT software.",
keywords = "GIRO network, HF wave propagation, Ionogram simulations, NIM-RT software, Sporadic E layer, Statistic analysis, IONOSPHERE, SOLAR, MIDLATITUDE",
author = "Zaalov, {N. Y.} and Moskaleva, {E. V.}",
year = "2019",
month = sep,
day = "15",
doi = "10.1016/j.asr.2019.06.034",
language = "English",
volume = "64",
pages = "1243--1255",
journal = "Advances in Space Research",
issn = "0273-1177",
publisher = "Elsevier",
number = "6",

}

RIS

TY - JOUR

T1 - Statistical analysis and modelling of sporadic E layer over Europe

AU - Zaalov, N. Y.

AU - Moskaleva, E. V.

PY - 2019/9/15

Y1 - 2019/9/15

N2 - This paper describes a study of the daily and yearly variability of one of the main characteristics of sporadic E layers (Es), the critical frequency (foEs). Our analysis is based on ionograms recorded by GIRO network ionosondes. The study estimates the spatial and temporal variability of the Es layer parameters and generates their statistics at different seasons and phases of the solar cycle. In turn, the statistics of the Es layer parameters can provide an assessment of the capability of the HF propagation forecasting. Further, maps of the distribution of Es layer critical frequency are produced. This paper implements the “cloud” model of Es layer in HF propagation model (Northern Ionosphere Model & Ray Tracing, NIM-RT) that can accurately reproduce many features observed in experimental measurements. Within this framework, a number of vertical sounding ionograms with the presence of Es layer are simulated based on the NIM-RT software.

AB - This paper describes a study of the daily and yearly variability of one of the main characteristics of sporadic E layers (Es), the critical frequency (foEs). Our analysis is based on ionograms recorded by GIRO network ionosondes. The study estimates the spatial and temporal variability of the Es layer parameters and generates their statistics at different seasons and phases of the solar cycle. In turn, the statistics of the Es layer parameters can provide an assessment of the capability of the HF propagation forecasting. Further, maps of the distribution of Es layer critical frequency are produced. This paper implements the “cloud” model of Es layer in HF propagation model (Northern Ionosphere Model & Ray Tracing, NIM-RT) that can accurately reproduce many features observed in experimental measurements. Within this framework, a number of vertical sounding ionograms with the presence of Es layer are simulated based on the NIM-RT software.

KW - GIRO network

KW - HF wave propagation

KW - Ionogram simulations

KW - NIM-RT software

KW - Sporadic E layer

KW - Statistic analysis

KW - IONOSPHERE

KW - SOLAR

KW - MIDLATITUDE

UR - http://www.scopus.com/inward/record.url?scp=85068449497&partnerID=8YFLogxK

U2 - 10.1016/j.asr.2019.06.034

DO - 10.1016/j.asr.2019.06.034

M3 - Article

AN - SCOPUS:85068449497

VL - 64

SP - 1243

EP - 1255

JO - Advances in Space Research

JF - Advances in Space Research

SN - 0273-1177

IS - 6

ER -

ID: 44918982