Published November 24, 2024 | Version v1
Dataset Open

CNN-Based Forecasting of Pitch Angle-Resolved Energetic Electron Flux at MEO Using Solar Wind and Geomagnetic Data

Authors/Creators

  • 1. ROR icon Peking University
  • 2. ROR icon Nanchang University

Description

 CNN-Based Forecasting of Pitch Angle-Resolved Energetic Electron Flux at MEO Using Solar Wind and Geomagnetic Data. The model and test set data are provided here. Data used for training, validating, and testing the 1.8MeV channel model is also offered as an example.

initial_data: The test set data has been normalized and can be used as model input.

norm para: The normalization parameters used for data processing

model_test_dataset_performance.py: The script to obtain the outputs of the models at different energy levels on the test set. Before running it, unzip “initial_data.rar” and "norm_para.rar"

full_dataset_for_rept_ch0: Data used for training, validating, and testing the 1.8MeV channel model. It's not essential for model_test_dataset_performance.py

Files

readme.txt

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