Gaussianizing the Earth - Gus Camps-Valls

This course aims to explore how big data and machine learning algorithms can be utilized to enhance our understanding of the Earth's climate system. The learning outcomes include gaining insights into climate-related quantities, asking causal questions, and creating or validating theories. The course teaches skills in utilizing big data for descriptive inference, conducting modeling experiments, and addressing climate-related challenges. The teaching method involves exchanging tools and ideas through collaborative efforts in a conference setting. The intended audience includes experts across earth system and computational sciences involved in climate change research.