Title
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data Antony Sikorski Michael I. Ivanitskiy Nathan Lenssen Douglas Nychka Daniel McKenzie DiffM 9 0 0 14 May 2025
A machine learning model for skillful climate system prediction Chenguang Zhou Lei Chen Xiaohui Zhong Bo Lu Hao Li ... Jie Wu Jiahui Hu Zesheng Dou Pang-Chi Hsu X. Zhang AI4Cl 47 0 0 06 May 2025
Exploring Design Choices for Autoregressive Deep Learning Climate Models Florian Gallusser Simon Hentschel Anna Krause Andreas Hotho AI4Cl 32 0 0 05 May 2025
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning Paul Fischer Sebastian Kaltenbach Sergey Litvinov Sauro Succi P. Koumoutsakos AI4CE 21 0 0 19 Apr 2025
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences Jing Han Hanting Chen Kai Han X. Huang Yongyun Hu Wenjun Xu Dacheng Tao Ping Zhang AI4CE 39 0 0 19 Apr 2025
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature Tian Xie Menghui Jiang Huanfeng Shen Huifang Li Cao Zeng Xiaobin Guan Jun Ma Guanhao Zhang AI4Cl 34 0 0 10 Apr 2025
Diffusion models for probabilistic precipitation generation from atmospheric variables Michael Aich S. Bathiany P. Hess Yu Huang Niklas Boers DiffM 40 0 0 01 Apr 2025
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers Lluís Palma Alejandro Peraza David Civantos Amanda Duarte Stefano Materia Ángel G. Muñoz Jesús Peña Laia Romero Albert Soret Markus G. Donat AI4TS 53 0 0 26 Mar 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Chris Pedersen L. Zanna Joan Bruna 43 1 0 24 Mar 2025
A Survey of Foundation Models for Environmental Science Runlong Yu Shengyu Chen Yiqun Xie X. Jia AI4CE 59 1 0 05 Mar 2025
Generative assimilation and prediction for weather and climate S. M. I. Simon X. Yang Congyi Nai Xinyan Liu W. Li Jie Chao ... Bo Lu Ziniu Xiao Niklas Boers Huiling Yuan Baoxiang Pan AI4CE 61 2 0 04 Mar 2025
PRDP: Progressively Refined Differentiable Physics Kanishk Bhatia Felix Koehler Nils Thuerey AI4CE 59 0 0 26 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 47 0 0 18 Feb 2025
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 72 1 0 07 Feb 2025
Learning to generate physical ocean states: Towards hybrid climate modeling Etienne Meunier David Kamm Guillaume Gachon Redouane Lguensat Julie Deshayes AI4Cl AI4CE 63 0 0 04 Feb 2025
Learning Weather Models from Data with WSINDy Seth Minor Daniel Messenger Vanja M. Dukic David M. Bortz AI4CE 30 0 0 03 Jan 2025
Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models Xiaoxu Tian 62 0 0 02 Dec 2024
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows Feng Liu Haipeng Li Guangyuan Zou Junlun Li 68 2 0 30 Nov 2024
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning Arvind Mohan Ashesh Chattopadhyay Jonah Miller 92 0 0 22 Nov 2024
Global spatio-temporal downscaling of ERA5 precipitation through generative AI Luca Glawion Julius Polz Harald Kunstmann Benjamin Fersch Christian Chwala AI4Cl 108 0 0 22 Nov 2024
Exploring the Use of Machine Learning Weather Models in Data Assimilation Xiaoxu Tian Daniel Holdaway Daryl Kleist AI4CE 66 4 0 22 Nov 2024
Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Fei Er Yan Hugo Frezat Julien Le Sommer Julian Mak Karl Otness 57 1 0 21 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 88 11 0 18 Nov 2024
Projected Neural Differential Equations for Learning Constrained Dynamics Alistair J R White Anna Buttner Maximilian Gelbrecht Valentin Duruisseaux Niki Kilbertus Frank Hellmann Niklas Boers 39 0 0 31 Oct 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction Qidong Yang Weicheng Zhu Joseph Keslin L. Zanna Tim G. J. Rudner Carlos Fernandez-Granda BDL UQCV AI4TS 44 0 0 30 Oct 2024
PACER: Physics Informed Uncertainty Aware Climate Emulator Hira Saleem Flora Salim Cormac Purcell 18 0 0 29 Oct 2024
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting Peiyuan Liu Tian Zhou Liang Sun Rong Jin AI4CE 32 0 0 09 Oct 2024
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning Sofya Dymchenko Abhishek Purandare Bruno Raffin AI4CE 26 0 0 08 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae Tomas Landelius Joel Oskarsson Fredrik Lindsten AI4Cl 32 2 0 07 Oct 2024
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience Richard Antonello Chandan Singh Shailee Jain Aliyah R. Hsu Jianfeng Gao Jianfeng Gao Alexander G. Huth Alexander Huth 16 1 0 01 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 28 4 0 27 Sep 2024
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting Nian Ran Peng Xiao Yue Wang Wesley Shi Jianxin Lin Qi Meng Richard Allmendinger AI4Cl 44 0 0 27 Sep 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 34 10 0 20 Sep 2024
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling Zili Liu Hao Chen Lei Bai Wenyuan Li Wanli Ouyang Zhengxia Zou Zhenwei Shi Mamba 40 5 0 20 Aug 2024
PAPM: A Physics-aware Proxy Model for Process Systems Pengwei Liu Zhongkai Hao Xingyu Ren Hangjie Yuan Jiayang Ren Dong Ni AI4CE PINN 40 0 0 07 Jul 2024
Neural Incremental Data Assimilation Matthieu Blanke Ronan Fablet Marc Lelarge AI4CE 29 0 0 21 Jun 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales Peter Manshausen Y. Cohen Jaideep Pathak Jaideep Pathak Piyush Garg Morteza Mardani K. Kashinath Simon Byrne Noah D. Brenowitz Noah Brenowitz 45 10 0 19 Jun 2024
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 33 3 0 27 Apr 2024
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events Olivier C. Pasche Jonathan Wider Zhongwei Zhang Jakob Zscheischler Sebastian Engelke AI4Cl 32 9 0 26 Apr 2024
An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting Jonathan A. Weyn Divya Kumar Jeremy Berman Najeeb Kazmi Sylwester Klocek Pete Luferenko Kit Thambiratnam AI4Cl 27 1 0 22 Mar 2024
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting Tao Han Song Guo Fenghua Ling Kang Chen Junchao Gong Jing-Jia Luo Junxia Gu Kan Dai Wanli Ouyang Lei Bai AI4Cl 13 14 0 28 Jan 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 28 109 0 25 Dec 2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting Tung Nguyen Rohan Shah Hritik Bansal T. Arcomano Sandeep Madireddy R. Maulik V. Kotamarthi Ian Foster Aditya Grover AI4TS 19 56 0 06 Dec 2023
Reconstructing Historical Climate Fields With Deep Learning Nils Bochow Anna Poltronieri M. Rypdal Niklas Boers AI4Cl AI4CE 8 0 0 30 Nov 2023
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 17 0 0 29 Oct 2023