Computational Oceanography + Climate @ NYU
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SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
Traditional numerical global climate models simulate the full Earth system by exchanging boundary conditions between separate …
J P. C. Duncan
,
E Wu
,
Surya Dheeshjith
,
Adam Subel
,
T Arcomano
,
S K. Clark
,
B Henn
,
A Kwa
,
J McGibbon
,
W. A Perkins
,
W Gregory
,
C Fernandez-Granda
,
J Busecke
,
O Watt-Meyer
,
W J. Hurlin
,
A Adcroft
,
Laure Zanna
,
C Bretherton
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DOI
Machine learned equations for vertical mixing coefficients in the ocean surface boundary layer
Neural networks offer novel ways to parameterize unresolved ocean mixing but are challenging to interpret. Here, we derive compact …
A. Sane
,
B. G. Reichl
,
A. Adcroft
,
Laure Zanna
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DOI
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
Transfer learning (TL) is a powerful tool for enhancing the performance of neural networks (NNs) in applications such as weather and …
Moein Darman
,
Pedram Hassanzadeh
,
Laure Zanna
,
Ashesh Chattopadhyay
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DOI
Parameterizing isopycnal mixing via kinetic energy backscatter in an eddy-permitting ocean model
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M Pudig
,
W Zhang
,
K Shafer Smith
,
Laure Zanna
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DOI
Data-Driven Probabilistic Air-Sea Flux Parameterization
Accurately quantifying air-sea fluxes is important for understanding air-sea interactions and improving coupled weather and climate …
Jiarong Wu
,
Pavel Perezhogin
,
David John Gagne
,
Brandon Reichl
,
Aneesh C Subramanian
,
Elizabeth Thompson
,
Laure Zanna
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DOI
Advancing global sea ice prediction capabilities using a fully coupled climate model with integrated machine learning
We showcase a hybrid modeling framework that embeds machine learning (ML) inference into the Geophysical Fluid Dynamics Laboratory …
W. Gregory
,
M. Bushuk
,
YF. Zhang
,
A. Adcroft
,
Laure Zanna
,
C. McHugh
,
L. Jia
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DOI
Data-driven multiscale modeling for correcting dynamical systems
We propose a multiscale approach for predicting quantities in dynamical systems which is explicitly structured to extract information …
K. Otness
,
Laure Zanna
,
J. Bruna
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DOI
A Data-Driven Approach for Parameterizing Ocean Submesoscale Buoyancy Fluxes
Parameterizations of O(1-10)km submesoscale mixed layer instabilities in General Circulation Models (GCMs) represent the effects of …
Abigail Bodner
,
D. Balwada
,
Laure Zanna
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DOI
The GFDL-CM4X climate model hierarchy, Part I: model description and thermal properties
We present the GFDL-CM4X (Geophysical Fluid Dynamics Laboratory Climate Model version 4X) coupled climate model hierarchy. The primary …
S M Griffies
,
A Adcroft
,
RL Beadling,
,
M Bushuk
,
C-Y Chang
,
HF Drake
,
R Dussin
,
R W. Hallberg
,
W Hurlin
,
H Khatri
,
J P Krasting
,
M Lobo
,
G MacGilchrist
,
B G Reichl
,
A Sane
,
O V. Sergienko
,
M Sonnewald
,
J M. Steinberg
,
J-E Tesdal
,
M D Thomas,
,
KE Turner
,
M L Ward
,
M Winton
,
N Zadeh
,
Laure Zanna
,
R Zhang
,
W Zhang
,
M Zhao
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DOI
The GFDL-CM4X climate model hierarchy, Part II: case studies
This paper is Part II of a two-part paper that documents the CM4X (Climate Model version 4X) hierarchy of coupled climate models …
S M Griffies
,
A Adcroft
,
RL Beadling,
,
M Bushuk
,
C-Y Chang
,
HF Drake
,
R Dussin
,
R W. Hallberg
,
W Hurlin
,
H Khatri
,
J P Krasting
,
M Lobo
,
G MacGilchrist
,
B G Reichl
,
A Sane
,
O V. Sergienko
,
M Sonnewald
,
J M. Steinberg
,
J-E Tesdal
,
M D Thomas,
,
KE Turner
,
M L Ward
,
M Winton
,
N Zadeh
,
Laure Zanna
,
R Zhang
,
W Zhang
,
M Zhao
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DOI
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