Source Themes

An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing

C Gultekin, Adam Subel, C Zhang, M Leibovich, Pavel Perezhogin, A Adcroft, C Fernandez-Granda, Laure Zanna

A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction

Q Yang, W Zhu, J Keslin, Laure Zanna, T GJ Rudner, C Fernandez-Granda

Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders

Andrew Brettin, Laure Zanna, EA Barnes

Diagnosing the pattern effect in the atmosphere-ocean coupled system through linear response theory

Fabrizio Falasca, Aurora Basinski, Laure Zanna, M Zhao

Pushing the frontiers in climate modelling and analysis with machine learning

V Eyring, WD Collins, P Gentine, EA Barnes, M Barreiro…, Laure Zanna

Earth System Reanalysis in Support of Climate Model Improvements

D Stammer, DE Amrhein, MA Balmaseda…, Laure Zanna

Vertical Structure and Energetic Constraints for a Backscatter Parameterization of Ocean Mesoscale Eddies

Elizabeth Yankovsky, S. Bachman, K.S Smith, Laure Zanna

Constraints imply limited future weakening of Atlantic meridional overturning circulation

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D. Bonan, A. Thompson, T. Scheinder, Laure Zanna, K. Armour, S. Sun

Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing

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Surya Dheeshjith, Adam Subel, Shubham Gupta, A. Adcroft, C. Fernandez-Granda, J. Busecke, Laure Zanna

Estimating freshwater flux amplification with ocean tracers via linear response theory

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Aurora Basinski, Laure Zanna