8 - How We Find Patterns in Noisy Climate Data

We often think of data being composed of a signal we want to find, and noise we want to get rid of. But what really is signal and noise? In this lecture, we explore how the answer to this change based on the question we ask. This is the eighth lecture in Nan Chen and I's video series where we explore short insights into big questions. This series is based on a joint work: "An Applied Mathematics Perspective on Modern Geosciences" by Nan Chen, Reza Malek-Madani, Pedram Hassanzadeh, Samuel N. Stechmann, Amy Braverman, Hannah Christensen, Anne Gelb, Michael Ghil, Dimitris Giannakis, Chris Jones, Ruby Leung, Matthias Morzfeld, Charlotte Moser, Tim Palmer, Christian Sampson, Themistoklis Sapsis, Tiffany Shaw, Andrew Stuart, Jonathan Weare, Laure Zanna. We thank all collaborators for their contributions. We would like to give a special thank you to Dr. Reza Malek-Madani for his helpful discussions and feedback on the video series.