USC Climate Dynamics

Paleoclimate Dynamics and Data Science

Julien Emile-Geay


Department of Earth Sciences

Dornsife College, University

of Southern California

Los Angeles, CA 90089

Our lab studies how climate varies on timescales comparable to a human lifetime: the bassline of climate. The lab is lead by Julien Emile-Geay, who blends data and models (both deterministic and probabilistic) to shed light on climate system behavior. He is particularly interested in constraining how much of climate variations arise from within, or are being triggered by external factors, natural or human. 

Beyond climate science, he also teaches the art of making reliable inferences from data, which is increasingly needed to cut through the cloud of misinformation, and provides economic opportunities for underrepresented groups. Professor Emile-Geay (it’s a bit of a mouthful – here’s how to pronounce it) is passionate about educating people of all levels of scientific literacy to the reality of man-made global warming, using evidence-based knowledge to empower individuals to generate positive change. Press here for a detailed CV. For a recent presentation on paleoclimate data science, see this video.


Dec 7, 2022 PhD candidate Alex James
Jun 9, 2022 Julien publishes a piece on committed warming in The Conversation.
Jun 8, 2022 A new Pyleoclim release is available! Lots of new cool functionalities, including continuous wavelet transform, and many bug fixes. Great job to the entire team, particularly Deborah Khider, for moving this forward.
Apr 1, 2022 Recent Publications
Jan 8, 2022 Welcoming Jordan Landers

selected publications

  1. Past ENSO variability: reconstructions, models, and implications
    Emile-Geay, Julien, Cobb, Kim M., Cole, Julia E., Elliot, Mary, and Zhu, Feng
  2. Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era
    Neukom, Raphael, Barboza, Luis A., Erb, Michael P., Shi, Feng, Emile-Geay, Julien, Evans, Michael N., Franke, Jörg, Kaufman, Darrell S., Lücke, Lucie, Rehfeld, Kira, Schurer, Andrew, Zhu, Feng, Brönnimann, Stefan, Hakim, Gregory J., Henley, Benjamin J., Ljungqvist, Fredrik Charpentier, McKay, Nicholas, Valler, Veronika, and Gunten, Lucien
    Nature Geoscience 2019
  3. Climate models can correctly simulate the continuum of global-average temperature variability
    Zhu, Feng, Emile-Geay, Julien, McKay, Nicholas P., Hakim, Gregory J., Khider, Deborah, Ault, Toby R., Steig, Eric J., Dee, Sylvia, and Kirchner, James W.
    Proceedings of the National Academy of Sciences 2019