Climate & Ocean Physics @ NYU
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ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulations
S. Yu
,
W. Hannah
,
L. Peng
,
J. Lin
,
M.A. Bhouri
,
R. Gupta
,
B. Lütjens
,
J. C Will
,
G. Behrens
,
J. Busecke
,
Nora Loose
,
C. Stern
,
T. Beucler
,
B. Harrop
,
B. Hillman
,
A. Jenney
,
S.L. Ferretti
,
N. Liu
,
A. Anandkumar
,
N. Brenowitz
,
V. Eyring
,
N. Geneva
,
P. Gentine
,
S. Mandt
,
J. Pathak
,
A. Subramaniam
,
C. Vondrick
,
R. Yu
,
Laure Zanna
,
and others
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Data-driven multiscale modeling of subgrid parameterizations in climate models
K. Otness
,
J. Bruna
,
Laure Zanna
PDF
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Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation
Chris Pedersen
,
J. Bruna
,
Laure Zanna
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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
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