Computational Oceanography + Climate @ NYU
Computational Oceanography + Climate @ NYU
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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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DOI
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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DOI
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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DOI
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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DOI
A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer
Parameterizations of O(1-10)km submesoscale flows in General Circulation Models (GCMs) represent the effects of unresolved vertical …
Abigail Bodner
,
D. Balwada
,
Laure Zanna
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DOI
Exploring the non-stationarity of coastal sea level probability distributions
Studies agree on a significant global mean sea level rise in the 20th century and its recent 21st century acceleration in the satellite …
Fabrizio Falasca
,
Andrew Brettin
,
Laure Zanna
,
S. M. Griffies
,
J. Yin
,
M. Zhao
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