Climate & Ocean Physics

Understanding, Modeling, Predicting

Climate & Ocean Physics
Laure Zanna

Laure Zanna

Professor of Mathematics & Atmosphere/Ocean Science [she/her]

Courant Institute, NYU

+ Center for Data Science (Affiliated)

Overview

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 works 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 and sea level 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.

Our group strives to create a productive, safe, positive and inclusive environment. We value and support the participation of every member of our group and want to ensure everyone has an enjoyable and fulfilling experience, both professionally and personally.

[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 is the lead principal investigator of the NSF-NOAA Climate Process Team on Ocean Transport and Eddy Energy, and M2LInES – an international effort to improve climate models with scientific machine learning. She currently serves as an editor for the Journal of Climate, a member on the International CLIVAR Ocean Model Development Panel, and on the CESM Advisory Board.

Interests
  • Ocean Dynamics
  • Climate Change
  • Machine Learning/Data Science
  • Ocean Warming & Sea Level
Education
  • PhD in Climate Dynamics, 2009

    Harvard University

  • MSc in Environmental Sciences, 2003

    Weizmann Institute of Science

  • BSc in Atmospheric Physics, 2001

    Tel Aviv University

Our Team

Group Members

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Abigail Bodner [she/her]

Simons Junior Fellow

GFD, Turbulence, Sea Level, Machine Learning

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Andrew Brettin [he/him]

PhD Student

Sea Level, Coastal ocean dynamics, Extreme events

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Andrew Ross

Postdoc M2LInES

Machine Learning, Interpretability

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Arthur Guillaumin [he/him]

Postdoc

Statistics, Machine learning, Physics Applications

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Aurora Basinski

PhD Student

Tracer distribution, Ocean carbon uptake, Conceptual models

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Elizabeth Yankovsky [she/her]

Postdoc

Model parameterization, Turbulence, Mesoscale & submesoscale dynamics

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Emily Newsom [she/her]

Postdoc

Transient climate change, Ocean heat uptake, Global ocean circulation, Atmosphere-ocean dynamics

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Fabrizio Falasca [he/him]

Postdoc

Sea Level Extremes, Dynamical Systems, Data Mining

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Johanna Goldman

M2LInES project manager

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Mike Byrne

Marie Curie Fellow

Atmospheric Dynamics

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Pavel Perezhogin

M2LInES Postdoc [starting fall 2021]

M2LInES

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Ziwei Li

M2LInES Postdoc [starting fall 2021]

M2LInES

Projects

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M2LInES: ML for Climate

M2LInES: ML for Climate

International collaboration to improve climate projections

Climate Process Team

Climate Process Team

CPT Ocean Transport and Eddy Energy

Climate Variability

Climate Variability

Processes leading to variability

Data Science & Climate

Data Science & Climate

Harnessing Data and Machine Learning

Extreme Events

Extreme Events

Temperature, Ocean Velocities & Sea Level Extremes

Mentoring + DEI Activities

Selected programs that we participate in and might be of interest to our community NYU CDS Undergraduate Research Program (CURP) in partnership with the National Society of Black Physicists (NSBP); Unlearning Racism in Geoscience (URGE); Mentoring Physical Oceanography Women to Increase Retention (MPOWIR); NYU Proud to be First.

Ocean Turbulence

Ocean Turbulence

Understanding and Parameterizing Turbulence

Oceans in Climate Change

Oceans in Climate Change

Understanding the role of ocean dynamics in climate

Predictability

Predictability

Understanding Uncertainty

Probabilistic Climate Predictions

Probabilistic Climate Predictions

Designing Ocean Model Ensembles

Sea Level

Sea Level

Global and Regional Projections

TICTOC

TICTOC

Transient tracer-based Investigation of Circulation and Thermal Ocean Change

UKFAFMIP

UKFAFMIP

Addressing the Grand Challenge of regional sea level change prediction

Datasets

Ocean Warming and Sea Level Datasets

  • Added and Redistributed Heat from Bronselaer and Zanna, Nature, 2020 on Zenodo.

  • Ocean Heat Content and Thermosteric Sea level Reconstruction based on 1870-2018 from Zanna et al., PNAS, 2019 is on Zenodo; further details are here.

  • Datasets associated with “The causes of sea-level rise since 1900” manuscript are here.

Recent & Upcoming Talks

Jobs

Opportunities in the group [updated 08/2021]

  • 💡Graduate Students: I am accepting PhD students through CAOS, Applied Math, and CDS. Read carefully the application pages. Note: in CAOS, you are admitted to the program, not an adviser or a research project. If a student is accepted in CAOS, they will be able to discuss research projects with potential advisors during their first year. If a student is interested in working with me, browse through this website and my Google Scholar to get an idea of our research projects.

  • Undergraduates, Interns and K-12: We are not accepting any applicants for the foreseeable future.

Contact