Computational Oceanography + Climate @ NYU
Computational Oceanography + Climate @ NYU
People
Publications
Code & Data
Contact
Light
Dark
Automatic
Source Themes
A landscape of mesoscale eddy vertical structure: the influence of bathymetric slope and roughness on kinetic energy
Surface and upper ocean measurements of mesoscale eddies have revealed the central role they play in ocean transport, but their …
JM. Steinberg
,
Elizabeth Yankovsky
,
ST. Cole
,
Laure Zanna
Cite
DOI
A theory for how the depth of meltwater injection impacts regional sea level evolution
Mass loss from the Antarctic ice sheet is projected to continue over the coming century. The resultant sea level change will have a …
Aurora Basinski
,
Laure Zanna
,
I Eisenman
PDF
Cite
DOI
A fluctuation-dissipation theorem perspective on radiative responses to temperature perturbations
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
PDF
Cite
DOI
Observational constraints imply limited future Atlantic meridional overturning circulation weakening
The degree to which the Atlantic meridional overturning circulation (AMOC) weakens over the twenty-first century varies widely across …
D. Bonan
,
A. Thompson
,
T. Scheinder
,
Laure Zanna
,
K. Armour
,
S. Sun
PDF
Cite
DOI
Design and implementation of a data-driven parameterization for mesoscale thickness fluxes
Mesoscale eddies are a major sink of available potential energy (APE) in the ocean. When these eddies are not resolved or only …
D. Balwada
,
Pavel Perezhogin
,
A. Adcroft
,
Laure Zanna
PDF
Cite
DOI
Addressing Out-of-Sample Issues in Multi-Layer Convolutional Neural-Network Parameterization of Mesoscale Eddies Applied Near Coastlines
This study addresses the boundary artifacts in machine-learned (ML) parameterizations for ocean subgrid mesoscale momentum forcing, as …
C. Zhang
,
Pavel Perezhogin
,
A. Adcroft
,
Laure Zanna
PDF
Cite
DOI
Samudra: An AI Global Ocean Emulator for Climate
AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier …
Surya Dheeshjith
,
Adam Subel
,
A. Adcroft
,
J. Busecke
,
C. Fernandez-Granda
,
Shubham Gupta
,
Laure Zanna
PDF
Cite
DOI
Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
We showcase a hybrid modeling framework which embeds machine learning (ML) inference into the GFDL SPEAR climate model, for online sea …
W. Gregory
,
M. Bushuk
,
Y. Zhang
,
A. Adcroft
,
Laure Zanna
,
C. McHugh
,
L. Jia
PDF
Cite
DOI
Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models
Data-driven methods have become popular to parameterize the effects of mesoscale eddies in ocean models. However, they perform poorly …
Pavel Perezhogin
,
A. Adcroft
,
Laure Zanna
PDF
Cite
DOI
Time-varying global energy budget since 1880 from a reconstruction of ocean warming
Accurately quantifying air-sea fluxes is important for understanding air-sea interactions and improving coupled weather and climate …
Q. Wu
,
JM. Gregory
,
Laure Zanna
,
S. Khatiwala
PDF
Cite
DOI
»
Cite
×