Computational Oceanography + Climate @ NYU
Computational Oceanography + Climate @ NYU
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A Stable Implementation of a Data-Driven Scale-Aware Mesoscale Parameterization
Ocean mesoscale eddies are often poorly represented in climate models, and therefore, their effects on the large scale circulation must …
Pavel Perezhogin
,
C. Zhang
,
A. Adcroft
,
C. Fernandez-Granda
,
Laure Zanna
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Diagnosing the pattern effect in the atmosphere-ocean coupled system through linear response theory
Radiative forcing drives warming in the Earth system, leading to changes in sea surface temperatures (SSTs) and associated radiative …
Fabrizio Falasca
,
Aurora Basinski
,
Laure Zanna
,
M Zhao
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Pushing the frontiers in climate modelling and analysis with machine learning
Climate modelling and analysis are facing new demands to enhance projections and climate information. Here we argue that now is the …
V Eyring
,
WD Collins
,
P Gentine
,
EA Barnes
,
M Barreiro…
,
Laure Zanna
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DOI
Earth System Reanalysis in Support of Climate Model Improvements
D Stammer
,
DE Amrhein
,
MA Balmaseda…
,
Laure Zanna
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DOI
Vertical Structure and Energetic Constraints for a Backscatter Parameterization of Ocean Mesoscale Eddies
Mesoscale eddies modulate the stratification, mixing, tracer transport, and dissipation pathways of oceanic flows over a wide range of …
Elizabeth Yankovsky
,
S. Bachman
,
K.S Smith
,
Laure Zanna
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Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing
With the success of machine learning (ML) applied to climate reaching further every day, emulators have begun to show promise not only …
Surya Dheeshjith
,
Adam Subel
,
Shubham Gupta
,
A. Adcroft
,
C. Fernandez-Granda
,
J. Busecke
,
Laure Zanna
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Estimating freshwater flux amplification with ocean tracers via linear response theory
Accurate estimation of changes in the global hydrological cycle over the historical record is important for model evaluation and …
Aurora Basinski
,
Laure Zanna
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DOI
Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields
We propose a data-driven framework to describe spatiotemporal climate variability in terms of a few entities and their causal linkages. …
Fabrizio Falasca
,
Pavel Perezhogin
,
Laure Zanna
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The sensitivity of regional sea level changes to the depth of Antarctic meltwater fluxes
Regional patterns of sea level rise are affected by a range of factors including glacial melting, which has occurred in recent decades …
Ian Eisenman
,
Aurora Basinski
,
Emma Beer
,
Laure Zanna
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Building Ocean Climate Emulators
The current explosion in machine learning for climate has led to skilled, computationally cheap emulators for the atmosphere. However, …
Adam Subel
,
Laure Zanna
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