**Title**: Physics-Guided Deep Learning for Climate Science **Abstract**: While deep learning has shown tremendous success in many scientific domains, it remains a grand challenge to incorporate first principles in a systematic manner into such models. In this talk, I will demonstrate how to incorporate physical principles such as symmetry, conservation, and multi-scale into deep neural networks for forecasting and uncertainty quantification. I will showcase the applications of these models to…