A New Method for Reconstruction of Regional Three-Dimensional Electron Density Distributions Using AI-Based Data Assimilation Method and Incoherent Scatter Radar Measurements
Chenghao Li, Hanxian Fang, Xiaoqun Cao, Die Duan, Chao Xiao, Hongtao Huang, Ganming Ren, Yang Lin, Yihui Cai
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引用次数: 0
Abstract
The ionosphere's dynamic structure affects electromagnetic radiation by altering radio wave propagation, impacting daily communications. The characteristics of the ionosphere are primarily characterized by electron density parameters. This paper proposes a method to construct Three-Dimensional (3-D) electron density distributions with arbitrary spatiotemporal resolution in ISR observational regions. The method, termed Artificial Intelligence-based data assimilation (AI-Assim), integrates data assimilation directly into a neural network. It assimilates electron density from the IRI-2020 model to fill ISR observation gaps. Experiments conducted using the Sanya Incoherent Scatter Radar (SYISR) in Hainan, China, successfully constructed a 3-D electron density structure over the region, with a 0.2° latitude/longitude resolution and 1 km height resolution. The method's effectiveness was validated by calculating the mean square error and comparing the results with digisonde measurements.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.