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A non-intrusive machine learning framework for debiasing long-time
  coarse resolution climate simulations and quantifying rare events statistics

A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics

28 February 2024
Benedikt Barthel Sorensen
A. Charalampopoulos
Shixuan Zhang
B. Harrop
Ruby Leung
T. Sapsis
    AI4Cl
ArXiv (abs)PDFHTML

Papers citing "A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics"

2 / 2 papers shown
Title
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Chuwei Wang
Julius Berner
Zongyi Li
Di Zhou
Jiayun Wang
Jane Bae
Anima Anandkumar
AI4CE
82
3
0
09 Aug 2024
Mixing Artificial and Natural Intelligence: From Statistical Mechanics
  to AI and Back to Turbulence
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence
Michael Chertkov
AI4CE
77
3
0
26 Mar 2024
1