Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method

Global Ionospheric TEC Forecasting for Geomagnetic Storm Time Using a Deep Learning‐Based Multi‐Model Ensemble Method

Abstract In recent years, deep learning has been extensively used for ionospheric total electron content (TEC) prediction, and many models can yield promising prediction results, particularly under quiet conditions. Owing to the ionosphere's intricate and dramatic changes during geomagnetic sto...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaodong Ren, Pengxin Yang, Dengkui Mei, Hang Liu, Guozhen Xu, Yue Dong
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Space Weather
Subjects:
ionospheric prediction
model ensembling
geomagnetic storms
deep learning
machine learning
Online Access:https://doi.org/10.1029/2022SW003231
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1029/2022SW003231

Similar Items