Computational Oceanography + Climate @ NYU
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Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales
Reliable dynamic sea level forecasts are hindered by numerous sources of uncertainty on daily-to-seasonal timescales (1-180 days) due …
Andrew Brettin
,
Laure Zanna
,
Elizabeth A. Barnes
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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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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
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
Due to computational constraints, climate simulations cannot resolve a range of small-scale physical processes, which have a …
C Gultekin
,
Adam Subel
,
C Zhang
,
M Leibovich
,
Pavel Perezhogin
,
A Adcroft
,
C Fernandez-Granda
,
Laure Zanna
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A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
Probabilistic prediction of sequences from images and other high-dimensional data is a key challenge, particularly in risk-sensitive …
Q Yang
,
W Zhu
,
J Keslin
,
Laure Zanna
,
T GJ Rudner
,
C Fernandez-Granda
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DOI
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
,
Rory Basinski-Ferris
,
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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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
,
Rory Basinski-Ferris
,
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
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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