LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles

25 May 2024

Papers citing "LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles"

24 / 24 papers shown

Title
Exploring Design Choices for Autoregressive Deep Learning Climate Models Florian Gallusser Simon Hentschel Anna Krause Andreas Hotho AI4Cl 86 0 0 05 May 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Chris Pedersen L. Zanna Joan Bruna 57 4 0 24 Mar 2025
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning Arvind Mohan Ashesh Chattopadhyay Jonah Miller 149 0 0 22 Nov 2024
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses Oliver Watt-Meyer Brian Henn Jeremy McGibbon Spencer K. Clark Anna Kwa W. Perkins E. Wu L. Harris Christopher S. Bretherton AI4Cl 155 12 0 18 Nov 2024
PACER: Physics Informed Uncertainty Aware Climate Emulator Hira Saleem Flora Salim Cormac Purcell 36 0 0 29 Oct 2024
Can AI weather models predict out-of-distribution gray swan tropical cyclones? Y. Qiang Sun Pedram Hassanzadeh Mohsen Zand Ashesh Chattopadhyay Jonathan Weare D. Abbot 57 7 0 19 Oct 2024
Improved deep learning of chaotic dynamical systems with multistep penalty losses Dibyajyoti Chakraborty Seung Whan Chung Ashesh Chattopadhyay R. Maulik AI4CE 29 1 0 08 Oct 2024
Robustness of AI-based weather forecasts in a changing climate Thomas Rackow Nikolay Koldunov Christian Lessig Irina Sandu Mihai Alexe ... Jesper Dramsch Florian Pappenberger Xabier Pedruzo-Bagazgoitia Steffen Tietsche Thomas Jung AI4Cl AI4CE OOD 48 4 0 27 Sep 2024
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis Christopher Subich 51 2 0 26 Aug 2024
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators Ankur Mahesh William D. Collins Boris Bonev Noah D. Brenowitz Y. Cohen ... Michael S. Pritchard David Pruitt Mark Risser Shashank Subramanian Jared Willard 127 4 0 02 Aug 2024
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion Salva Rühling Cachay Brian Henn Oliver Watt-Meyer Christopher S. Bretherton Rose Yu SyDa AI4Cl 45 7 0 21 Jun 2024
GenCast: Diffusion-based ensemble forecasting for medium-range weather Ilan Price Alvaro Sanchez-Gonzalez Ferran Alet Tom R. Andersson Andrew El-Kadi ... Jacklynn Stott Shakir Mohamed Peter W. Battaglia Rémi R. Lam Matthew Willson 49 114 0 25 Dec 2023
ACE: A fast, skillful learned global atmospheric model for climate prediction Oliver Watt‐Meyer Gideon Dresdner Jeremy McGibbon Spencer K. Clark Brian Henn ... K. Kashinath Michael S. Pritchard Boris Bonev Matthew E. Peters Christopher S. Bretherton AI4Cl 67 44 0 03 Oct 2023
OceanNet: A principled neural operator-based digital twin for regional oceans Ashesh Chattopadhyay Michael Gray Tianning Wu Anna B. Lowe Ruoying He AI4Cl 41 14 0 01 Oct 2023
Dynamical Tests of a Deep-Learning Weather Prediction Model Gregory J. Hakim Sanjit Masanam AI4Cl 18 25 0 19 Sep 2023
On some limitations of data-driven weather forecasting models Massimo Bonavita 30 9 0 15 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Matthias Karlbauer Nathaniel Cresswell-Clay Dale Durran Raul A Moreno Thorsten Kurth Boris Bonev Noah D. Brenowitz Martin Volker Butz MDE 37 20 0 11 Sep 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 88 18 0 18 Jun 2023
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere Boris Bonev Thorsten Kurth Christian Hundt Jaideep Pathak Maximilian Baust K. Kashinath Anima Anandkumar AI4Cl AI4CE 21 129 0 06 Jun 2023
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators Thorsten Kurth Shashank Subramanian P. Harrington Jaideep Pathak Morteza Mardani D. Hall Andrea Miele K. Kashinath Anima Anandkumar AI4Cl 42 177 0 08 Aug 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 133 674 0 22 Feb 2022
Forecasting Global Weather with Graph Neural Networks R. Keisler AI4Cl 60 167 0 15 Feb 2022
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression Masaki Morimoto Kai Fukami R. Maulik Ricardo Vinuesa K. Fukagata UQCV 53 30 0 16 Sep 2021
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 66 801 0 07 Feb 2019