Statistical analysis and modelling of sporadic E layer over Europe

Research outputpeer-review

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.

Original languageEnglish
Pages (from-to)1243-1255
Number of pages13
JournalAdvances in Space Research
Volume64
Issue number6
DOIs
Publication statusPublished - 15 Sep 2019

Scopus subject areas

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences(all)

Cite this

@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",
author = "Zaalov, {N. Y.} and Moskaleva, {E. V.}",
year = "2019",
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doi = "10.1016/j.asr.2019.06.034",
language = "English",
volume = "64",
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journal = "Advances in Space Research",
issn = "0273-1177",
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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 outputpeer-review

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

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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.

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KW - HF wave propagation

KW - Ionogram simulations

KW - NIM-RT software

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KW - Statistic analysis

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