Work

CEEMDAN-TVF-EMD-TCN based method for elevated duct parameters predicting with high-resolution radiosonde data

Year: 2026

Type: article

Abstract: Introduction Atmospheric ducts represent the most frequently observed refractive phenomenon in maritime atmospheric environments. Prior research has shown that the occurrence of elevated ducts exceeds 60% with high-resolution radiosonde data, providing a solid foundation for developing communication applications based on this propagation mechanism. Methods To support the design of elevated ducts communication systems, this paper proposes a long-term elevated duct thickness prediction model, which integrates a dual decomposition framework consisting of adaptive noise complete ensemble empirical mode decomposition (CEEMDAN) and time-varying filter empirical mode decomposition (TVF-EMD) with a temporal convolutional network (TCN) method. The CEEMDAN-TVF-EMD-TCN elevated duct thickness prediction model (CTETEDP) uses the 2016–2022 datasets at the SAN JUAN station. Results The CTETEDP model realizes a high-precision time series prediction of duct thickness, with a root mean square error (RMSE) of 16.3 m and a mean absolute error (MAE) of 12.8 m. To further evaluate the adaptability of the CTETEDP method in different regions, predictions were carried out based on the observation data at the MAJURO and TRUK INTL stations, respectively. In the spring, summer, and autumn of 2022, the RMSEs at MAJURO station were 14.3 m, 8.8 m, and 12.4 m, respectively, while those at TRUK INTL station were 29.8 m, 12.3 m, and 17.2 m. Discussion These results indicate that the CTETEDP model has good adaptability and practicality and can realize high-precision and long-term continuous prediction of elevated duct thickness, which will provide support for future elevated duct-based communication systems.

Source: Frontiers in Marine Science

DOI: 10.3389/fmars.2025.1730671

Authors: Chuanzhi Yao, Jian Wang, Cheng Yang, Wenlu Liu, Jiaqi Liao

Institutions: Tianjin University, North China Electric Power University

Language: English

Topic: Radio Wave Propagation Studies

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,801

Funder: National Natural Science Foundation of China