Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science

24 May 2020

Papers citing "Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science"

8 / 8 papers shown

Title
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 51 0 0 04 Aug 2024
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 35 3 0 27 Apr 2024
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model Redouane Lguensat Julie Deshayes Homer Durand Venkatramani Balaji 38 4 0 11 Aug 2022
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence A. Chattopadhyay Jaideep Pathak Ebrahim Nabizadeh W. Bhimji P. Hassanzadeh BDL 16 7 0 09 May 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja A. Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli P. Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 63 660 0 22 Feb 2022
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case R. Mojgani A. Chattopadhyay P. Hassanzadeh 27 15 0 01 Oct 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 46 100 0 26 Apr 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers A. Chattopadhyay M. Mustafa P. Hassanzadeh Eviatar Bach K. Kashinath AI4CE 24 25 0 16 Mar 2021