Articles | Volume 23, issue 20
https://doi.org/10.5194/acp-23-13413-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.Ionospheric irregularity reconstruction using multisource data fusion via deep learning
Data sets
ERA5 hourly data on pressure levels from 1940 to present https://doi.org/10.24381/cds.bd0915c6
COSMIC-1 Data Products https://doi.org/10.5065/ZD80-KD74
Solar wind spatial scales in and comparisons of hourly Wind and ACE plasma and magnetic field data (https://omniweb.gsfc.nasa.gov/) https://doi.org/10.1029/2004JA010649
Model code and software
Ionospheric Irregularities Reconstruction Using Multi-Source Data Fusion via Deep Learning https://doi.org/10.5281/zenodo.10016010