Laure Zanna is a physical oceanographer and climate physicist in the Department of Mathematics at the Courant Institute and the Center for Data Science, NYU. She holds the Joseph B. Keller and Herbert B. Keller Professorship in Applied Mathematics. Her research focuses on understanding, simulating and predicting the role of the ocean in climate on local and global scales. She combines theory, numerical simulations, statistics, and machine learning to tackle a wide range of problems in fluid dynamics and climate, including turbulence, multiscale modeling, ocean heat and carbon uptake, and sea level rise. Since 2020, she is leading M²LInES, an international collaboration sponsored by Schmidt Sciences dedicated to improving climate models using scientific machine learning. In 2020, Prof Zanna received the 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”, and was the 2022 WHOI Geophysical Fluid Dynamics principal lecturer.
Interests
- Ocean Dynamics
- Machine Learning/Data Science
- Ocean Warming & Sea Level
Education
PhD, 2009
Harvard University
MSc, 2003
Weizmann Institute of Science
BSc, 2001
Tel Aviv University
Latest
- Deep Learning of Systematic Ocean Model Errors in a Coupled GCM from Data Assimilation Increments
- Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
- CAMulator: Fast Emulation of the Community Atmosphere Model
- Data-Driven Probabilistic Air-Sea Flux Parameterization
- Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales
- Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
- Learning Machine Learning with Lorenz-96
- Samudra: An AI Global Ocean Emulator for Climate
- The GFDL-CM4X climate model hierarchy, Part II: case studies
- An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
- Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines
- A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
- Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
- Diagnosing the pattern effect in the atmosphere-ocean coupled system through linear response theory
- Pushing the frontiers in climate modelling and analysis with machine learning
- Earth System Reanalysis in Support of Climate Model Improvements
- Vertical Structure and Energetic Constraints for a Backscatter Parameterization of Ocean Mesoscale Eddies
- Constraints imply limited future weakening of Atlantic meridional overturning circulation
- Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing
- Estimating freshwater flux amplification with ocean tracers via linear response theory
- Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields
- The sensitivity of regional sea level changes to the depth of Antarctic meltwater fluxes
- Building Ocean Climate Emulators
- ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulations
- Machine Learning for Online Sea Ice Bias Correction Within Global Ice-Ocean Simulations
- A new conceptual model of global ocean heat uptake
- A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer
- Discovering causal relations and equations from data
- Background Pycnocline depth constrains Future Ocean Heat Uptake Efficiency
- Implementation of a data-driven equation-discovery mesoscale parameterization into an ocean model
- Remote Versus Local Impacts of Energy Backscatter on the North Atlantic SST Biases in a Global Ocean Model
- Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks
- Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model
- Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization into a Numerical Ocean Circulation Model
- Deep learning of systematic sea ice model errors from data assimilation increments
- Causal inference in spatiotemporal climate fields through linear response theory
- Data-driven multiscale modeling of subgrid parameterizations in climate models
- Exploring the non-stationarity of coastal sea level probability distributions
- Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
- Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation
- An observationally-based estimate of global ocean heat uptake closes the time-varying global energy budget since 1880
- Benchmarking of machine learning ocean subgrid parameterizations in an idealized model
- Parametrization in Weather and Climate Models
- Influences of Mesoscale Ocean Eddies on Flow Vertical Structure in a Resolution-Based Model Hierarchy
- NeverWorld2: An idealized model hierarchy to investigate ocean mesoscale eddies across resolutions
- Past and future ocean warming
- Greenhouse-gas forced changes in the Atlantic meridional overturning circulation and related worldwide sea-level change
- Deep Probability Estimation
- The future intensification of the North Atlantic winter storm track: the key role of dynamic ocean coupling
- Relating patterns of added and redistributed ocean warming
- The Influence of Warming Patterns on Passive Ocean Heat Uptake
- GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data
- Evaluation of the Local Sea-Level Budget at Tide Gauges Since 1958
- Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models
- Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing
- What causes the spread of model projections of sea level change in response to greenhouse gas forcing?
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models
- The causes of sea-level rise since 1900
- Heat and carbon coupling reveals ocean warming due to circulation changes
- Radiative effects of clouds and water vapor on the monsoon
- Data-Driven Equation Discovery of Ocean Mesoscale Closures
- Ocean-Only FAFMIP: Understanding Regional Patterns of Ocean Heat Content and Dynamic Sea Level Change
- Response of Storm-Related Extreme Sea Level along the U.S. Atlantic Coast to Combined Weather and Climate Forcing
- Identifying a human signal in the North Atlantic warming hole
- Surface constraints on the depth of the Atlantic Meridional Overturning Circulation: Southern Ocean vs North Atlantic
- Assessing External and Internal Sources of Atlantic Multidecadal Variability Using Models, Proxy Data, and Early Instrumental Indices
- An interdecadal shift of the extratropical ENSO teleconnection during boreal summer
- Climate model uncertainty and trend detection of regional sea level projections in the open ocean and coastal zone
- Investigating the predictability of North Atlantic sea surface heighty
- ENSO Bimodality and Extremes
- Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study
- Global reconstruction of historical ocean heat storage and transport
- Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
- Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
- Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions
- The impact of tropical precipitation on summertime Euro-Atlantic circulation via a circumglobal wave-train
- Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty
- Eddy-mixing entropy and its maximization in forced-dissipative geostrophic turbulence
- The Signature of Oceanic Processes in Decadal Extratropical SST Anomalies
- The relationship between a deformation-based eddy parameterization and the LANS-α turbulence model
- Southern Ocean carbon-wind stress feedback
- Lagrangian ocean analysis: Fundamentals and practices
- The Dynamical Influence of the Atlantic Multidecadal Oscillation on Continental Climate
- The Impact of Horizontal Resolution on Energy Transfers in Global Ocean Models
- Stochastic Subgrid-Scale Ocean Mixing: Impacts on Low-Frequency Variability
- A note on ‘Toward a stochastic parameterization of ocean mesoscale eddies’
- The statistical nature of turbulent barotropic ocean jets
- Scale-Aware Deterministic and Stochastic Parametrizations of Eddy-Mean Flow Interaction
- Drivers of uncertainty in simulated ocean circulation and heat uptake
- Seasonal and decadal forecasts of Atlantic Sea surface temperatures using a linear inverse model
- Suppression of Atlantic Meridional Overturning Circulation Variability at increased CO2
- The influence of Southern Ocean winds on the North Atlantic carbon sink
- A deformation-based parametrization of ocean mesoscale eddy Reynolds stresses
- Oceanic stochastic parametrizations in a seasonal forecast system
- The signature of low-frequency oceanic forcing in the Atlantic Multidecadal Oscillation
- Optimisation of an idealised ocean model: stochastic parametrisation of sud-grid eddies
- A Conceptual Model of Ocean Heat Uptake under Climate Change
- Toward a stochastic parameterization of ocean mesoscale eddies
- Frequency Domain Multimodel Analysis of the Response of Atlantic Meridional Overturning Circulation to Surface Forcing
- Tide-surge adjoint modelling: a new technique to understand forecast uncertainty
- Singular vectors, predictability and ensemble forecasting for weather and climate
- Forecast Skill and Predictability of Observed Atlantic Sea Surface Temperatures
- Upper-ocean singular vectors of the North Atlantic climate with implications for linear predictability and variability
- Optimal Excitation of Interannual Atlantic Meridional Overturning Circulation Variability
- The role of ocean dynamics in the optimal growth of tropical SST anomalies
- Optimal Surface Excitation of the Thermohaline Circulation
- Nonnormal Thermohaline Circulation Dynamics in a Coupled Ocean–Atmosphere GCM
- Nonnormal Amplification of the Thermohaline Circulation