A Study On Various Deep Learning-based Weather Forecasting Models

This article discusses the development of deep learning-based weather forecasting models such as MetNet-2, WF-UNet, ClimaX, GraphCast, and Pangu-Weather. These models are quickly beating traditional meteorological simulators by large margins. ClimaX is a deep learning model for weather and climate science that can be trained on different datasets with different variables. It is a foundation model for weather and climate that is grounded in physics and numerical atmospheric models.