Predicting Atmospheric Refractivity over the Korean Peninsula Using Deep Learning Techniques

In this study, we propose a model for predicting atmospheric refractivity using meteorological data and deep learning. The purpose of study is to compare the prediction accuracy traditional interpolation methods proposed model, verify whether learning trained on can provide values closer true values, thus demonstrate potential utilizing in refractivity.