A Thermospheric Mass Density (TMD) nowcast deep learning model trained by CHAMP. The purpose of constructing this model is to effectively extract the features of TMD from CHAMP observation, and further promote the thermosphere-ionosphere coupling research.
The training data were obtained from：
- https://omniweb.gsfc.nasa.gov/form/dx1.html - f10.7
- https://omniweb.gsfc.nasa.gov/form/omni_min.html - SYM-H, AE
- http://tinyurl.com/densitysets - CHAMP TMD
- Python 3.9
- tensorflow 2
- PyYaml
git clone https://github.com/Soulboy1234/TMD-ResNet-Model.git
The more detailed has been submitted to AGU: Space Weather and is under review.
If you have any questions, please send email to llwwb@mail.iggcas.ac.cn