TEC Map Completion Through a Deep Learning Model: SNP‐GAN
Abstract The limited availability of ground receiver stations causes an approximate 52% of data gaps in Massachusetts Institute of Technology (MIT)‐ total electron content (TEC) global maps. The completed TEC maps are highly desirable for both scientific research and space weather applications. Comp...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-11-01
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| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2021SW002810 |
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