Understanding, Modeling, Predicting
Our group aims to advance the fundamental understanding of ocean dynamics and its role in the climate system in order to improve climate change projections. Our team has worked on a wide range of topics including global and regional sea level rise, ocean decadal predictions, the representation of ocean turbulence in climate models, and uncertainty quantification for seasonal predictions. Recently, we have been particularly interested in the role of the ocean dynamics in shaping patterns of ocean heat and carbon storage under climate change, and in the development of physics-aware machine learning models to deepen our understanding of climate processes and their representation in climate models.
[formal bio] Laure Zanna is a Professor in Mathematics & Atmosphere/Ocean Science at the Courant Institute, New York University. Her research focuses on the dynamics of the climate system and the main emphasis of her work is to study the influence of the ocean on local and global scales. Prior to NYU, she was a faculty member at the University of Oxford until 2019, and obtained her PhD in 2009 in Climate Dynamics from Harvard University. She was the recipient of the 2020 Nicholas P. Fofonoff Award from the American Meteorological Society “For exceptional creativity in the development and application of new concepts in ocean and climate dynamics”. She currently serves as an editor for the Journal of Climate.
PhD in Climate Dynamics, 2009
MSc in Environmental Sciences, 2003
Weizmann Institute of Science
BSc in Atmospheric Physics, 2001
Tel Aviv University
GFD, Turbulence, Sea Level, Machine Learning
Statistics, Machine learning, Physics Applications
Model parameterization, Turbulence, Mesoscale & submesoscale dynamics
Transient climate change, Ocean heat uptake, Global ocean circulation, Atmosphere-ocean dynamics
Sea Level, Coastal ocean dynamics, Extreme events
Tracer distribution, Ocean carbon uptake, Conceptual models