Climate & Ocean Physics @ NYU
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NeverWorld2: An idealized model hierarchy to investigate ocean mesoscale eddies across resolutions
We describe an idealized primitive equation model for studying mesoscale turbulence and leverage a hierarchy of grid resolutions to …
G. Marques
,
N. Loose
,
Elizabeth Yankovsky
,
J. Steinberg
,
C.Y. Chang
,
N. Bhamidipati
,
A. Adcroft
,
B. Fox-Kemper
,
S. Griffies
,
R. Hallberg
,
M. Jansen
,
H. Khatri
,
Laure Zanna
PDF
Preprint
The future intensification of the North Atlantic winter storm track: the key role of dynamic ocean coupling
Climate models project an intensification of the wintertime North Atlantic Ocean storm track, over its downstream region, by the end of …
R. Chemke
,
Laure Zanna
,
C. Orbe
,
L.T. Sentman
,
L.M. Polvani
PDF
Cite
DOI
Relating patterns of added and redistributed ocean warming
Ocean warming patterns are a primary control on regional sea level rise and transient climate sensitivity. However, controls on these …
Emily Newsom
,
Laure Zanna
,
S. Khatiwala
PDF
Cite
DOI
GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data
GCM-Filters is a python package that allows scientists to perform spatial filtering analysis in an easy, flexible and efficient way. …
N.Loose
,
R. Abernathey
,
I. Grooms
,
J. Busecke
,
A. Guillaumin
,
Elizabeth Yankovsky
,
G. Marques
,
J. Steinberg
,
A.S. Ross
,
H. Khatri
,
S. Bachman
,
Laure Zanna
,
P. Martin
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DOI
Deep Probability Estimation
Reliable probability estimation is of crucial importance in many real-world applications where there is inherent uncertainty, such as …
S. Liu
,
A. Kaku
,
W. Zhu
,
M. Leibovich
,
S. Mohan
,
B. Yu
,
Laure Zanna
,
N. Razavian
,
C. Fernandez-Granda
Preprint
Evaluation of the Local Sea-Level Budget at Tide Gauges Since 1958
Although global mean sea-level rise since 1900 and regional mean sea-level change since the 1960s have been accounted for in terms of …
J. Wang
,
J. Church
,
X. Zhang
,
J. Gregory
,
Laure Zanna
,
X. Chen
PDF
Cite
DOI
Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models
Climate models are an approximate representation of the laws of physics describing the evolution of the ocean and atmosphere dynamics. …
Laure Zanna
,
T. Bolton
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DOI
Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing
Coupled climate simulations that span several hundred years cannot be run at a high-enough spatial resolution to resolve mesoscale …
A. Guillaumin
,
Laure Zanna
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DOI
What causes the spread of model projections of sea level change in response to greenhouse gas forcing?
Sea levels of different atmosphere–ocean general circulation models (AOGCMs) respond to climate change forcing in different ways, …
M. Couldrey
,
J. M. Gregory
,
F. B. Dias
,
P. Dobrohotoff
,
C. M. Domingues
,
O. Garuba
,
S. M. Griffies
,
H. Haak
,
A. Hu
,
M. Ishii
,
J. Jungclaus
,
A. Köhl
,
S. J. Marsland
,
S. Ojha
,
O. A. Saenko
,
A. Savita
,
A. Shao
,
D. Stammer
,
T. Suzuki
,
A. Todd
,
Laure Zanna
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DOI
Resolving and Parameterising the Ocean Mesoscale in Earth System Models
Although the choice of ocean resolution in Earth System models will always be limited by computational considerations, for the …
H. Hewitt
,
M. Roberts
,
P. Mathiot
,
A. Biastoch
,
E. Blockley
,
E. P. Chassignet
,
B. Fox-Kemper
,
P. Hyder
,
D. P. Marshall
,
E. Popova
,
A.-M. Treguier
,
Laure Zanna
,
A. Yool
,
Y. Yu
,
R. Beadling
,
M. Bell
,
T. Kuhlbrodt
,
T. Arsouze
,
A. Bellucci
,
F. Castruccio
,
B. Gan
,
D. Putrasahan
,
C. D. Roberts
,
L. Van Roekel
,
Q. Zhang
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DOI
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