This file describes the useage of all files.

The file "Dataset_for_training_Rs.h5" provides the training data to train the deep network for estimates of surface solar radiation (Rs).

The file "Dataset_constraints_for_Rs.h5" provides the Rs simulation of The Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART) model at the top of Mt. Everest.

The file "Dataset_for_training_Rdif.h5" provides the training data to fine-tune the deep network for estimates of diffuse solar radiation (Rdif).

The file "Dataset_constraints_for_Rdif.h5" provides the Rdif simulation of SBDART model at the top of Mt. Everest.

The file "Dataset_site_altitudes.h5" provides the altitude of all selected stations.

The file "training_network_for_final_Rs_estimate.py" provides the Python codes for training the deep network that generated the final Rs data.

The file "fine_tune_network_for_final_Rdif_estimate.py" provides the Python codes for training the deep network that generated the final Rdif data.

The file "BestModelofRs.h5" is the saved model for Rs estimates of the best performance in our experiments.

The file "BestModelofRdif.h5" is the saved model for Rdif estimates of the best performance in our experiments.