Ocean Transport & Eddy Energy funded by NSF and NOAA
My research focuses on the dynamics of the climate system. The main emphasis of my work is to study the influence of the ocean on local and global scales, through the analysis of observations and a hierarchy of numerical simulations. Recently, I have worked on a wide range of topics including ocean redistribution of heat and carbon under climate change, regional sea level rise, air-sea coupling and predictability in mid-latitudes, ocean turbulence in climate models, and uncertainty quantification.
Students/Postdocs: if you are interested in working with us on ocean/climate dynamics problems, including machine learning for climate change (primarily on the prediction and parametrization problems), see job opportunities.
PhD in Climate Dynamics, 2009
Harvard University
MSc in Environmental Sciences, 2003
Weizmann Institute of Science
BSc in Atmospheric Science, 2001
Tel Aviv University
Bold = Student or postdoc in the Climate & Ocean Physics Group
PDF Project Slides PDF Supp Material Press PNAS Global OHC data Notes and links for updated dataset 1870-2018
CPT Ocean Transport and Eddy Energy
Transient tracer-based Investigation of Circulation and Thermal Ocean Change
Addressing the Grand Challenge of regional sea level change prediction
postdoc, UK-FAFMIP project
Former Group Members
Ocean Turbulence and Machine Learning
Postdoc
Postdoc, TICTOC
PhD Student
Marie Curie Fellow
Postdoc, CPT Ocean Eddies
PhD Student
In Spring 2020, I will teach:
– for undergraduate students: Fundamental Dynamics of Earth’s Atmosphere and Climate (Math-UA 228). Mondays, Wednesdays 9:30-10:45AM, in CIWW 312.
– for graduate students, an Advanced Topics course: Machine Learning in Atmosphere, Ocean and Climate Science (MATH-GA.3011-001). Mondays, 1:25-3:15PM, in CIWW 517.
I am looking for students (undergrad or grad) and postdocs to join our group, including through course projects, and internships. If you are interested, contact me at laure.zanna@nyu.edu, after reading about our research interests and possible opportunities.
– PhD students: I am accepting applications through the NYU CAOS graduate program, and Applied Math program.
– Postdocs Opportunities:
Machine Learning for Climate, apply here. The topic of research is flexible as long as you combine machine learning tools with climate dynamics problems (prediction, parametrization, inference). Note that only applications submitted in full via Interfolio will be considered.
Ocean Transport and eddy energy (Climate Process Team), apply here. There are 3 other positions available at WHOI, CU Boulder and, Princeton. The NYU postdoc will work on 1) unifying eddy closures of buoyancy, momentum and energy; and 2) understanding and parametrizing the vertical eddy energy structure.
I am also accepting applicants for the following postdoc fellowships: James S. McDonnell, NSF Atmospheric and Geospace Sciences, NSF Earth Sciences, NOAA Climate & Global Change, NYU Courant instructors.
