An empirical model of the ionospheric sporadic E layer based on GNSS radio occultation data

B Yu, X Xue, CJ Scott, X Yue, X Dou - Space weather, 2022 - Wiley Online Library
The intense plasma irregularities within the ionospheric sporadic E (Es) layers at 90–130 km
altitude have a significant impact on radio communications and navigation systems. As a …

Global Sporadic‐E Occurrence Rate Climatology Using GPS Radio Occultation and Ionosonde Data

TJ Hodos, OA Nava, EV Dao… - Journal of Geophysical …, 2022 - Wiley Online Library
An updated global climatology of blanketing sporadic E (Es) is developed from a combined
data set of Global Positioning System (GPS) radio occultation (RO) and ground‐based …

A statistical analysis of sporadic-E characteristics associated with GNSS radio occultation phase and amplitude scintillations

DJ Emmons, DL Wu, N Swarnalingam - Atmosphere, 2022 - mdpi.com
Statistical GNSS-RO measurements of phase and amplitude scintillation are analyzed at the
mid-latitudes in the local summer for a 100 km altitude. These conditions are known to …

Improved models for estimating sporadic-E intensity from GNSS radio occultation measurements

DJ Emmons, DL Wu, N Swarnalingam, AF Ali… - Frontiers in Astronomy …, 2023 - frontiersin.org
Several models for estimating sporadic-E intensity from Global Navigation Satellite System
(GNSS) radio occultation (RO) observation have previously been developed using a single …

A comparison of FORMOSAT-3/COSMIC radio occultation and ionosonde measurements in sporadic E detection over mid-and low-latitude regions

S Sobhkhiz-Miandehi, Y Yamazaki, C Arras… - Frontiers in Astronomy …, 2023 - frontiersin.org
The investigation of sporadic E or Es layers typically relies on ground-based or satellite data.
This study compares the Es layers recorded in ionograms with those detected using GNSS …

Detection and classification of sporadic E using convolutional neural networks

JA Ellis, DJ Emmons, MB Cohen - Space Weather, 2024 - Wiley Online Library
In this work, convolutional neural networks (CNN) are developed to detect and characterize
sporadic E (Es), demonstrating an improvement over current methods. This includes a …

[HTML][HTML] Microsatellite instability: A potential game-changer in colorectal cancer diagnosis and treatment

R Shaikh, S Bhattacharya, BG Prajapati - Results in Chemistry, 2024 - Elsevier
Colorectal cancer (CRC) is a complicated illness caused by a mix of hereditary and
environmental factors. It is one of the most common malignancies worldwide, yet it is also …

Comparative study of ionospheric sporadic E occurrence rates using SNRnstd and S4 derived from GPS radio occultation

L Tang, J Li, F Zhang, F Zou - GPS Solutions, 2023 - Springer
Abstract GPS radio occultation (GPS-RO) data, especially the parameters of signal-to-noise
ratio normalized standard deviation (SNRnstd) and S4, are widely used to measure the …

[HTML][HTML] Long-distance propagation of 162 MHz shipping information links associated with sporadic E

AT Chartier, TR Hanley… - Atmospheric Measurement …, 2022 - amt.copernicus.org
Sporadic E layers form in the daytime midlatitude ionosphere as a result of wind shears in
the mesosphere–lower-thermosphere compressing metallic ions of meteoric origin into …

Characteristics of sporadic E layer occurrence in a global chemistry‐climate model: A comparison with COSMIC‐derived data

T Aylett, W Feng, DR Marsh… - Journal of …, 2025 - Wiley Online Library
This study presents an analysis of sporadic‐E (Es) structures within WACCM‐X (the Whole
Atmosphere Community Climate Model with thermosphere and ionosphere eXtension) …