Global Empirical Model of Sporadic-E Occurrence Rates

Intense ionization enhancements in the Earth’s ionosphere, known as sporadic-E (Es), can degrade and severely disrupt the propagation of radio signals. Although many previous studies have analyzed the characteristics and morphologies of sporadic-E, few efforts have attempted to model global Es occur...

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Main Authors: Eli V. Parsch, Anthony L. Franz, Eugene V. Dao, Dong L. Wu, Nimalan Swarnalingam, Cornelius C. J. H. Salinas, Daniel J. Emmons
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Astronomy and Space Sciences
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Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2024.1434367/full
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author Eli V. Parsch
Anthony L. Franz
Eugene V. Dao
Dong L. Wu
Nimalan Swarnalingam
Nimalan Swarnalingam
Cornelius C. J. H. Salinas
Daniel J. Emmons
author_facet Eli V. Parsch
Anthony L. Franz
Eugene V. Dao
Dong L. Wu
Nimalan Swarnalingam
Nimalan Swarnalingam
Cornelius C. J. H. Salinas
Daniel J. Emmons
author_sort Eli V. Parsch
collection DOAJ
description Intense ionization enhancements in the Earth’s ionosphere, known as sporadic-E (Es), can degrade and severely disrupt the propagation of radio signals. Although many previous studies have analyzed the characteristics and morphologies of sporadic-E, few efforts have attempted to model global Es occurrence rates (ORs) at high time resolutions. This study develops a global empirical model of blanketing sporadic-E occurrence rates using a Karhunen–Loéve Expansion (KLE) of a global OR climatology built with Global Navigation Satellite System radio occultation (GNSS-RO) and ionosonde observations. Using an fbE ≥ threshold of 3 MHz, the model outputs a blanketing sporadic-E OR for a given geomagnetic latitude, longitude, day of year, and local solar time. The model outputs are compared to digisonde observations at four sites with varying geomagnetic latitudes, resulting in correlation coefficients ranging from 0.5 to 0.9 for monthly averaged observations and an uncertainty of 11%. Furthermore, the average uncertainty is estimated to be 12%. This Global Empirical Model of Sporadic-E Occurrence Rates (GEMSOR) is capable of providing blanketing sporadic-E OR estimates for global radio frequency (RF) operations.
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spelling doaj-art-d0da01d1e72f4bd2bd2db546972aea792025-02-04T10:09:21ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2024-11-011110.3389/fspas.2024.14343671434367Global Empirical Model of Sporadic-E Occurrence RatesEli V. Parsch0Anthony L. Franz1Eugene V. Dao2Dong L. Wu3Nimalan Swarnalingam4Nimalan Swarnalingam5Cornelius C. J. H. Salinas6Daniel J. Emmons7United States Air Force Academy, Department of Physics and Meteorology, Colorado, CO, United StatesAir Force Institute of Technology, Department of Physics, Dayton, OH, United StatesSpace Vehicles Directorate, Air Force Research Laboratory, Albuquerque, NM, United StatesNASA Goddard Space Flight Center, Greenbelt, MD, United StatesNASA Goddard Space Flight Center, Greenbelt, MD, United StatesDepartment of Physics, The Catholic University of America, Washington, DC, United StatesNASA Goddard Space Flight Center, Greenbelt, MD, United StatesAir Force Institute of Technology, Department of Physics, Dayton, OH, United StatesIntense ionization enhancements in the Earth’s ionosphere, known as sporadic-E (Es), can degrade and severely disrupt the propagation of radio signals. Although many previous studies have analyzed the characteristics and morphologies of sporadic-E, few efforts have attempted to model global Es occurrence rates (ORs) at high time resolutions. This study develops a global empirical model of blanketing sporadic-E occurrence rates using a Karhunen–Loéve Expansion (KLE) of a global OR climatology built with Global Navigation Satellite System radio occultation (GNSS-RO) and ionosonde observations. Using an fbE ≥ threshold of 3 MHz, the model outputs a blanketing sporadic-E OR for a given geomagnetic latitude, longitude, day of year, and local solar time. The model outputs are compared to digisonde observations at four sites with varying geomagnetic latitudes, resulting in correlation coefficients ranging from 0.5 to 0.9 for monthly averaged observations and an uncertainty of 11%. Furthermore, the average uncertainty is estimated to be 12%. This Global Empirical Model of Sporadic-E Occurrence Rates (GEMSOR) is capable of providing blanketing sporadic-E OR estimates for global radio frequency (RF) operations.https://www.frontiersin.org/articles/10.3389/fspas.2024.1434367/fullionospheresporadic-Eradio occultationglobal climatologyKarhunen–Loéve Expansion
spellingShingle Eli V. Parsch
Anthony L. Franz
Eugene V. Dao
Dong L. Wu
Nimalan Swarnalingam
Nimalan Swarnalingam
Cornelius C. J. H. Salinas
Daniel J. Emmons
Global Empirical Model of Sporadic-E Occurrence Rates
Frontiers in Astronomy and Space Sciences
ionosphere
sporadic-E
radio occultation
global climatology
Karhunen–Loéve Expansion
title Global Empirical Model of Sporadic-E Occurrence Rates
title_full Global Empirical Model of Sporadic-E Occurrence Rates
title_fullStr Global Empirical Model of Sporadic-E Occurrence Rates
title_full_unstemmed Global Empirical Model of Sporadic-E Occurrence Rates
title_short Global Empirical Model of Sporadic-E Occurrence Rates
title_sort global empirical model of sporadic e occurrence rates
topic ionosphere
sporadic-E
radio occultation
global climatology
Karhunen–Loéve Expansion
url https://www.frontiersin.org/articles/10.3389/fspas.2024.1434367/full
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