Figure by Emily NewsomPublications
(2026).
Samudra 2: Scaling Ocean Emulators across Resolutions.
Arxiv.
(2025).
Data-driven multiscale modeling for correcting dynamical systems.
Machine Learning: Science and Technology.
(2025).
Accelerating scientific discovery with the common task framework.
Machine Learning: Science and Technology.
(2025).
A framework for hybrid physics-AI coupled ocean models.
Arxiv.
(2025).
The GFDL-CM4X climate model hierarchy, Part II: case studies.
JAMES.
(2025).
A landscape of mesoscale eddy vertical structure: the influence of bathymetric slope and roughness on kinetic energy.
Journal of Physical Oceanography.
(2025).
A theory for how the depth of meltwater injection impacts regional sea level evolution.
Journal of Physical Oceanography.
(2025).
A fluctuation-dissipation theorem perspective on radiative responses to temperature perturbations.
Journal of Climate.
(2025).
Observational constraints imply limited future Atlantic meridional overturning circulation weakening.
Nature Geosciences.
(2025).
Design and implementation of a data-driven parameterization for mesoscale thickness fluxes.
Submitted to JAMES.
(2025).
Samudra: An AI Global Ocean Emulator for Climate.
GRL.
(2025).
Deep Learning of Systematic Ocean Model Errors in a Coupled GCM from Data Assimilation Increments.
Submitted to JAMES.
(2025).
CAMulator: Fast Emulation of the Community Atmosphere Model.
Arxiv.
(2024).
Learning Machine Learning with Lorenz-96.
JOSE.
(2024).
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction.
arXiv:2410.23272.
(2024).
Pushing the frontiers in climate modelling and analysis with machine learning.
Nature Climate Change.
(2024).
Earth System Reanalysis in Support of Climate Model Improvements.
Bulletin of the American Meteorological Society.
(2024).
Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields.
Physical Review E.
(2024).
The sensitivity of regional sea level changes to the depth of Antarctic meltwater fluxes.
Submitted to GRL.
(2024).
Building Ocean Climate Emulators.
Published as a workshop paper at ”Tackling Climate Change with Machine Learning”, ICLR 2024.
(2024).
Machine Learning for Online Sea Ice Bias Correction Within Global Ice-Ocean Simulations.
Geophysical Research Letters.
(2024).
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulations.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
(2023).
A new conceptual model of global ocean heat uptake.
Climate Dynamics.
(2023).
Discovering causal relations and equations from data.
Physics Reports.
(2023).
Background Pycnocline depth constrains Future Ocean Heat Uptake Efficiency.
Geophysical Research Letters.
(2023).
Remote Versus Local Impacts of Energy Backscatter on the North Atlantic SST Biases in a Global Ocean Model.
Geophysical Research Letters.
(2023).
Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation.
ICML, Workshop on The Synergy of Scientific and Machine Learning Modeling, arXiv:2307.13144.
(2023).
Exploring the non-stationarity of coastal sea level probability distributions.
Env. Data Sci, 2, E16. doi:10.1017/eds.2023.10.
(2023).
Data-driven multiscale modeling of subgrid parameterizations in climate models.
ICLR, Workshop on Climate Change AI, arXiv:2303.17496.
(2023).
Benchmarking of machine learning ocean subgrid parameterizations in an idealized model.
JAMES, 15, e2022MS003258.
(2022).
Parametrization in Weather and Climate Models.
Oxford Research Encyclopedia of Climate Science.
(2022).
Influences of Mesoscale Ocean Eddies on Flow Vertical Structure in a Resolution-Based Model Hierarchy.
Journal of Advances in Modeling Earth Systems, 14, e2022MS003203.
(2022).
NeverWorld2: An idealized model hierarchy to investigate ocean mesoscale eddies across resolutions.
Geoscientific Model Development.
(2022).
Past and future ocean warming.
Nature Reviews Earth & Environment.
(2022).
Deep Probability Estimation.
Proceedings of Machine Learning Research.
(2022).
The future intensification of the North Atlantic winter storm track: the key role of dynamic ocean coupling.
Journal of Climate, 35(8), 2407-2421.
(2022).
The Influence of Warming Patterns on Passive Ocean Heat Uptake.
Geophysical Research Letters, 47, e2020GL088429.
(2022).
Relating patterns of added and redistributed ocean warming.
Journal of Climate, 1-41.
(2022).
GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data.
Journal of Open Source Software,7,70,3947.
(2021).
Evaluation of the Local Sea-Level Budget at Tide Gauges Since 1958.
GRL, 48, e2021GL094502.
(2021).
Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models.
In Deep learning for the Earth Sciences (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein).
(2021).
Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing.
JAMES, 13, e2021MS002534.
(2020).
What causes the spread of model projections of sea level change in response to greenhouse gas forcing?.
Clim Dyn, 56, 155–187..
(2020).
Resolving and Parameterising the Ocean Mesoscale in Earth System Models.
Current Climate Change Reports, 6, 137–152.
(2020).
The causes of sea-level rise since 1900.
Nature, 584, 393–397.
(2020).
Radiative effects of clouds and water vapor on the monsoon.
J. of Climate, 33 (20): 8789–8811.
(2020).
Heat and carbon coupling reveals ocean warming due to circulation changes.
Nature, 584, 227–233.
(2020).
Data-Driven Equation Discovery of Ocean Mesoscale Closures.
GRL, 47, e2020GL088376.
(2020).
Ocean-Only FAFMIP: Understanding Regional Patterns of Ocean Heat Content and Dynamic Sea Level Change.
Journal of Advances in Modeling Earth Systems, 12, e2019MS002027.
(2020).
Response of Storm-Related Extreme Sea Level along the U.S. Atlantic Coast to Combined Weather and Climate Forcing.
J. Climate, 33 (9): 3745–3769.
(2020).
Identifying a human signal in the North Atlantic warming hole.
Nature Comms, 11, Article number: 1540.
(2020).
Surface constraints on the depth of the Atlantic Meridional Overturning Circulation: Southern Ocean vs North Atlantic.
J. Climat, 33 (8): 3125–3149.
(2019).
Assessing External and Internal Sources of Atlantic Multidecadal Variability Using Models, Proxy Data, and Early Instrumental Indices.
J. of Climate, 32(22), 7727-7745.
(2019).
An interdecadal shift of the extratropical ENSO teleconnection during boreal summer.
GRL, 46, 13379–13388.
(2019).
Climate model uncertainty and trend detection of regional sea level projections in the open ocean and coastal zone.
Surveys in Geophysics, 40, 1631–1653.
(2019).
Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level.
Frontiers in Marine Science, 6, 437.
(2019).
Investigating the predictability of North Atlantic sea surface heighty.
Clim. Dyn., 1-21, 53, 2175- 2195.
(2019).
ENSO Bimodality and Extremes.
GRL, 46, 4883– 4893.
(2019).
Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study.
Clim. Dyn., pp 1-19.
(2019).
Global reconstruction of historical ocean heat storage and transport.
Proc. Natl. Acad. Sci., 116 (4) 1126-1131.
(2019).
Regional and Temporal Variability of Lateral Mixing in the North Atlantic.
J. of Phys. Oceanogr., 49(10), 2601-2614.
(2019).
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization.
JAMES, 11, 376–399.
(2018).
Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions.
QJRMS, 145, 160-175.
(2018).
The impact of tropical precipitation on summertime Euro-Atlantic circulation via a circumglobal wave-train.
J. of Climate, 31(16), pp.6481-6504.
(2018).
Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty.
QJRMS, 144(715), pp.1947-1964.
(2018).
Eddy-mixing entropy and its maximization in forced-dissipative geostrophic turbulence.
Journal of Statistical Mechanics: Theory and Experiment, 2018(7), p.073206.
(2018).
The Signature of Oceanic Processes in Decadal Extratropical SST Anomalies.
GRL, 45,15,7719-7730.
(2018).
The relationship between a deformation-based eddy parameterization and the LANS-α turbulence model.
Oc. Modelling, 126, 56-62.
(2018).
Southern Ocean carbon-wind stress feedback.
Clim. Dyn., 51, 2743–2757.
(2018).
Lagrangian ocean analysis: Fundamentals and practices.
Oc. Modelling, 121, 49-75.
(2017).
The Dynamical Influence of the Atlantic Multidecadal Oscillation on Continental Climate.
J. Climate, 30(18), 7213-7230.
(2017).
The Impact of Horizontal Resolution on Energy Transfers in Global Ocean Models.
Fluids, 2(3), 45.
(2017).
Stochastic Subgrid-Scale Ocean Mixing: Impacts on Low-Frequency Variability.
J. Climate, 30 (13), 4997-5019.
(2017).
A note on ‘Toward a stochastic parameterization of ocean mesoscale eddies’.
Oc. Modelling, 113, 30-33.
(2017).
The statistical nature of turbulent barotropic ocean jets.
Oc. Modelling, 113, 34-49..
(2017).
Scale-Aware Deterministic and Stochastic Parametrizations of Eddy-Mean Flow Interaction.
Oc. Modelling, 111, 66 - 80.
(2017).
Drivers of uncertainty in simulated ocean circulation and heat uptake.
GRL, 44 (3), 1402-1413.
(2016).
Suppression of Atlantic Meridional Overturning Circulation Variability at increased CO2.
J. Climate, 29, 11, 4155-4164.
(2016).
The influence of Southern Ocean winds on the North Atlantic carbon sink.
Global Biogeochemical Cycles, 30, 844-858.
(2016).
Oceanic stochastic parametrizations in a seasonal forecast system.
Mon. Wea. Rev., 144, 5, 1867-1875.
(2016).
A deformation-based parametrization of ocean mesoscale eddy Reynolds stresses.
Oc. Modelling,112, 99-111.
(2016).
The signature of low-frequency oceanic forcing in the Atlantic Multidecadal Oscillation.
GRL, 43, 2810-2818.
(2015).
Optimisation of an idealised ocean model: stochastic parametrisation of sud-grid eddies.
Ocean Modelling., 88, 38-53.
(2014).
A Conceptual Model of Ocean Heat Uptake under Climate Change.
J. of Climate, 27, 22, 8444-8465.
(2014).
Toward a stochastic parameterization of ocean mesoscale eddies.
Ocean Modelling, 79, 1-20.
(2013).
Frequency Domain Multimodel Analysis of the Response of Atlantic Meridional Overturning Circulation to Surface Forcing.
J. of Climate, 26, 21, 8323-8340.
(2013).
Tide-surge adjoint modelling: a new technique to understand forecast uncertainty.
JGR- Oceans, 118, 5092-5108.
(2013).
Singular vectors, predictability and ensemble forecasting for weather and climate.
Journal of Physics A: Math. Theor., 46 (2013) 254018.
(2012).
Forecast Skill and Predictability of Observed Atlantic Sea Surface Temperatures.
J. Climate, 25, 14, 5047-5056.
(2011).
Upper-ocean singular vectors of the North Atlantic climate with implications for linear predictability and variability.
J. Climate, 24, 2, 413-427.
(2011).
Optimal Excitation of Interannual Atlantic Meridional Overturning Circulation Variability.
J. Climate, 24, 2, 413-427.
(2010).
The role of ocean dynamics in the optimal growth of tropical SST anomalies.
J. Phys. Oceanog., 40, 5, 983-1003.
(2008).
Optimal Surface Excitation of the Thermohaline Circulation.
J. Phys. Oceanog., 38, 8, 1820-1830.
(2008).
Nonnormal Thermohaline Circulation Dynamics in a Coupled Ocean–Atmosphere GCM.
J. Phys. Oceanog., 38, 3, 588-604.
(2005).
Nonnormal Amplification of the Thermohaline Circulation.
J. Phys. Oceanog., 35, 9, 1593-1605.