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Deep learning to represent sub-grid processes in climate models

12 June 2018

Papers citing "Deep learning to represent sub-grid processes in climate models"

50 / 152 papers shown

Title
Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators Pouria Behnoudfar Charlotte Moser Marc Bocquet Sibo Cheng Nan Chen 56 0 0 14 Oct 2025
Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies Tian Zheng Subashree Venkatasubramanian Shuolin Li Amy Braverman Xinyi Ke Zhewen Hou Peter Jin Samarth Sanjay Agrawal AI4CE 60 0 0 30 Sep 2025
Breaking the Statistical Similarity Trap in Extreme Convection Detection Md Tanveer Hossain Munim 44 0 0 11 Sep 2025
GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes Mengze Wang Benedikt Barthel Sorensen T. Sapsis 74 1 0 21 Aug 2025
Numerical models outperform AI weather forecasts of record-breaking extremes Zhongwei Zhang Erich Fischer Jakob Zscheischler Sebastian Engelke AI4Cl ELM 124 4 0 21 Aug 2025
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models Pritthijit Nath Sebastian Schemm Henry Moss Peter Haynes Emily Shuckburgh Mark Webb AI4CE 76 0 0 19 Aug 2025
On Learning Closed-Loop Probabilistic Multi-Agent Simulator Juanwu Lu Rohit Gupta Ahmadreza Moradipari Kyungtae Han Ruqi Zhang Ziran Wang AI4CE 60 0 0 01 Aug 2025
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Jinqiao Wang Jie Chao Steve Yang Congyi Nai Kaijun Ren ... Hanqiuzi Wen Ziniu Xiao Lifeng Zhang Xiaodong Wang Jiping Guan 241 0 0 01 Jul 2025
Stabilizing PDE--ML coupled systems S. Qadeer P. Stinis Hui. Wan 94 0 0 24 Jun 2025
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Martha Arbayani Zaidan Naser Hossein Motlagh Petteri Nurmi Tareq Hussein Markku Kulmala Tuukka Petäjä Sasu Tarkoma AI4CE 111 0 0 19 Jun 2025
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density Minjong Cheon 172 0 0 28 Apr 2025
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence Moein Darman Pedram Hassanzadeh Laure Zanna Ashesh Chattopadhyay 160 2 0 21 Apr 2025
Generative emulation of chaotic dynamics with coherent priorComputer Methods in Applied Mechanics and Engineering (CMAME), 2025 Juan Nathaniel Pierre Gentine AI4TS AI4CE 168 4 0 19 Apr 2025
Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization Zirui Chen Zhaoyang Zhang Ziqing Xing Ridong Li Zhaohui Yang Richeng Jin Chongwen Huang YuZhi Yang Mérouane Debbah 177 3 0 09 Apr 2025
Diffusion models for probabilistic precipitation generation from atmospheric variables Michael Aich S. Bathiany P. Hess Yu Huang Niklas Boers DiffM 186 1 0 01 Apr 2025
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling Qiusheng Huang Xiaohui Zhong Xu Fan Lei Chen Hao Li AI4TS AI4CE 198 0 0 25 Mar 2025
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zonesEnvironmental science and pollution research international (ESPR), 2025 Parthiban Loganathan Elias Zea Ricardo Vinuesa Evelyn Otero AI4Cl 231 3 0 27 Feb 2025
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints Xin Wang Juntao Yang Jeff Adie Simon See Kalli Furtado Chen Chen T. Arcomano R. Maulik G. Mengaldo AI4CE 194 1 0 18 Feb 2025
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Shengyu Chen P. Givi Can Zheng X. Jia AI4CE 175 0 0 31 Dec 2024
Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers Shuochen Wang Nishant Yadav A. Ganguly AI4CE 165 0 0 21 Dec 2024
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1 Blanka Balogh David Saint-Martin Olivier Geoffroy 77 0 0 29 Oct 2024
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationJournal of Computational Physics (JCP), 2024 Chuanqi Chen Nan Chen Yinling Zhang Jin-Long Wu AI4CE 179 5 0 26 Oct 2024
Prithvi WxC: Foundation Model for Weather and Climate J. Schmude Sujit Roy Will Trojak Johannes Jakubik Daniel Salles Civitarese ... Campbell Watson M. Maskey Tsengdar J Lee Juan Bernabé-Moreno Rahul Ramachandran VLM AI4Cl 154 19 0 20 Sep 2024
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion ModelsJournal of Advances in Modeling Earth Systems (JAMES), 2024 Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz 166 11 0 17 Sep 2024
Generating Physical Dynamics under PriorsInternational Conference on Learning Representations (ICLR), 2024 Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 300 2 0 01 Sep 2024
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed H. Pahlavan Pedram Hassanzadeh M. J. Alexander 157 3 0 07 Jul 2024
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design Mouadh Yagoubi David Danan Milad Leyli-Abadi Jean-Patrick Brunet Jocelyn Ahmed Mazari ... maroua gmati A. Farjallah Paola Cinnella Patrick Gallinari Marc Schoenauer AI4CE 151 9 0 30 Jun 2024
Enforcing Equity in Neural Climate Emulators William Yik Sam J. Silva 113 2 0 28 Jun 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 171 15 0 21 Jun 2024
Towards Physically Consistent Deep Learning For Climate Model Parameterizations Birgit Kühbacher Fernando Iglesias-Suarez Niki Kilbertus Veronika Eyring AI4CE 146 2 0 06 Jun 2024
CaFA: Global Weather Forecasting with Factorized Attention on Sphere Zijie Li Anthony Zhou Saurabh Patil A. Farimani 158 6 0 12 May 2024
Decomposing weather forecasting into advection and convection with neural networks Mengxuan Chen Ziqi Yuan Jinxiao Zhang Runmin Dong Haohuan Fu 159 0 0 10 May 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 94 1 0 24 Apr 2024
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data AssimilationComputer Physics Communications (CPC), 2024 Chuanqi Chen Nan Chen Jin-Long Wu AI4CE 144 7 0 10 Apr 2024
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach Yixuan Sun O. Sowunmi Romain Egele S. Narayanan Luke Van Roekel Dali Wang 165 6 0 07 Apr 2024
Interpretable Machine Learning for Weather and Climate Prediction: A Survey Ruyi Yang Jingyu Hu Zihao Li Jianli Mu Tingzhao Yu Jiangjiang Xia Xuhong Li Aritra Dasgupta Haoyi Xiong AI4CE 171 7 0 24 Mar 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 205 19 0 24 Mar 2024
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming Yongquan Qu Mohamed Aziz Bhouri Pierre Gentine AI4CE 224 6 0 04 Mar 2024
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design) Mouadh Yagoubi Milad Leyli-Abadi David Danan Jean-Patrick Brunet Jocelyn Ahmed Mazari F. Bonnet A. Farjallah Marc Schoenauer Patrick Gallinari AI4CE 105 3 0 03 Mar 2024
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics Benedikt Barthel Sorensen A. Charalampopoulos Shixuan Zhang B. Harrop Ruby Leung T. Sapsis AI4Cl 153 13 0 28 Feb 2024
SuperdropNet: a Stable and Accurate Machine Learning Proxy for Droplet-based Cloud Microphysics Shivani Sharma David Greenberg 72 3 0 28 Feb 2024
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX Anthony Zhou Linnia Hawkins Pierre Gentine 108 5 0 13 Feb 2024
Learning About Structural Errors in Models of Complex Dynamical SystemsJournal of Computational Physics (JCP), 2023 Jin-Long Wu Matthew E. Levine Tapio Schneider Andrew M. Stuart AI4CE 312 23 0 29 Dec 2023
Operator learning for hyperbolic partial differential equations Christopher Wang Alex Townsend 199 5 0 29 Dec 2023
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence R. Mojgani Daniel Waelchli Yifei Guan Petros Koumoutsakos Pedram Hassanzadeh AI4Cl AI4CE 158 6 0 01 Dec 2023
Neural General Circulation Models for Weather and Climate Dmitrii Kochkov J. Yuval I. Langmore Peter C. Norgaard Jamie A. Smith ... Peter W. Battaglia Alvaro Sanchez-Gonzalez Matthew Willson Michael P. Brenner Stephan Hoyer AI4Cl AI4CE 325 276 0 13 Nov 2023
Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows Christina Winkler David Rolnick 120 0 0 12 Nov 2023
Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learningnpj Computational Materials (npj Comput Mater), 2023 Logan T. Ward Ben Blaiszik Cheng-Wei Lee Troy Martin Ian Foster A. Schleife 176 9 0 01 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 252 6 0 30 Oct 2023
Differentiable DG with Neural Operator Source Term Correction Shinhoo Kang Emil M. Constantinescu AI4CE 318 0 0 29 Oct 2023