Title
Data-driven rainfall prediction at a regional scale: a case study with Ghana Indrajit Kalita Lucia Vilallonga Yves Atchade AI4Cl 32 1 0 17 Oct 2024
A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs Surbhi Khetrapal Jaswin Kasi 23 0 0 16 Oct 2024
Regional Ocean Forecasting with Hierarchical Graph Neural Networks Daniel Holmberg Emanuela Clementi Teemu Roos AI4Cl 32 1 0 15 Oct 2024
Exploring the design space of deep-learning-based weather forecasting systems Shoaib Ahmed Siddiqui Jean Kossaifi Boris Bonev Christopher Choy Jan Kautz David M. Krueger Kamyar Azizzadenesheli AI4CE OOD 20 3 0 09 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
YanTian: An Application Platform for AI Global Weather Forecasting Models Wencong Cheng Jiangjiang Xia Chang Qu Zhigang Wang Xinyi Zeng Fang Huang Tianye Li 21 0 0 06 Oct 2024
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns Armeet Singh Jatyani Jiayun Wang Zihui Wu Miguel Liu-Schiaffini Bahareh Tolooshams Anima Anandkumar Anima Anandkumar 29 1 0 05 Oct 2024
Forecasting Smog Clouds With Deep Learning Valentijn Oldenburg Juan Cardenas-Cartagena Matias Valdenegro-Toro AI4TS 21 1 0 03 Oct 2024
Structure-Preserving Operator Learning Nacime Bouziani Nicolas Boullé 25 1 0 01 Oct 2024
Masked Autoregressive Model for Weather Forecasting Doyi Kim Minseok Seo Hakjin Lee Junghoon Seo 35 0 0 30 Sep 2024
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators Ashutosh Singh Ashish Singh Tales Imbiriba Deniz Erdogmus R. Borsoi AI4TS AI4CE 47 1 0 29 Sep 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 50 0 0 27 Sep 2024
Automated Spatio-Temporal Weather Modeling for Load Forecasting Julie Keisler Margaux Brégère 21 1 0 23 Sep 2024
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence M. Atif Pulkit Dubey Pratik P. Aghor Vanessa Lopez-Marrero Tao Zhang ... Fan Yang Foluso Ladeinde Yangang Liu Meifeng Lin Lingda Li AI4CE 31 2 0 23 Sep 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling Mohammad R. Rezaei Rahul G. Krishnan Milos R. Popovic M. Lankarany DiffM 24 0 0 22 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 42 10 0 20 Sep 2024
Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river Jorge Baño-Medina Agniv Sengupta Allison Michaelis L. D. Monache J. Kalansky Duncan Watson-Parris AI4CE 46 0 0 17 Sep 2024
TCDformer-based Momentum Transfer Model for Long-term Sports Prediction Hui Liu Jiacheng Gu Xiyuan Huang Junjie Shi Tongtong Feng Ning He 32 0 0 16 Sep 2024
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics Yuxuan Liu Jingmin Sun Xinjie He Griffin Pinney Zecheng Zhang Hayden Schaeffer AI4CE 43 6 0 15 Sep 2024
WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models Weixin Jin Jonathan A. Weyn Pengcheng Zhao Siqi Xiang Jiang Bian Zuliang Fang Haiyu Dong Hongyu Sun Kit Thambiratnam Qi Zhang 26 1 0 14 Sep 2024
Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region Muhammad Akhtar Munir Fahad Shahbaz Khan Salman Khan 19 1 0 11 Sep 2024
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics David Millard Arielle Carr Stéphane Gaudreault 49 3 0 10 Sep 2024
Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictors A. Satheesh P. Knippertz A. Fink AI4Cl 14 0 0 29 Aug 2024
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data Phillip Si Peng Chen 26 1 0 29 Aug 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 38 6 0 28 Aug 2024
RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models Pritthijit Nath Henry Moss Emily Shuckburgh Mark Webb AI4Cl AI4CE 34 0 0 28 Aug 2024
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution Sungduk Yu Brian L. White Anahita Bhiwandiwalla Musashi Hinck M. L. Olson Tung Nguyen Vasudev Lal Tung Nguyen Vasudev Lal 42 0 0 28 Aug 2024
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling Jaideep Pathak Y. Cohen Piyush Garg Peter Harrington Noah D. Brenowitz ... Morteza Mardani Arash Vahdat Shaoming Xu K. Kashinath Michael Pritchard DiffM AI4Cl 42 8 0 20 Aug 2024
Agentic Retrieval-Augmented Generation for Time Series Analysis Chidaksh Ravuru Sagar Srinivas Sakhinana Venkataramana Runkana AI4TS 34 5 0 18 Aug 2024
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting Pratik Shukla Milton Halem AI4Cl AI4CE 32 0 0 12 Aug 2024
MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model Haoyu Qin Yungang Chen Qianchuan Jiang Pengchao Sun Xiancai Ye Chao Lin Mamba AI4CE 33 1 0 12 Aug 2024
FuXi Weather: An end-to-end machine learning weather data assimilation and forecasting system Xiuyu Sun Xiaohui Zhong Xiaoze Xu Yuanqing Huang Hao Li Jie Feng Wei Han Libo Wu Yuan Qi AI4Cl 36 1 0 10 Aug 2024
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using 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 60 9 0 06 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 85 4 0 02 Aug 2024
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification Soban Nasir Lone Subhayan De R. Nayek BDL 40 1 0 01 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 36 0 0 31 Jul 2024
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space Shuangliang Li Siwei Li 40 0 0 27 Jul 2024
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX S. Kotsuki Kenta Shiraishi Atsushi Okazaki 16 0 0 25 Jul 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics Matthias Karlbauer Danielle C. Maddix Abdul Fatir Ansari Boran Han Gaurav Gupta Yuyang Wang Andrew Stuart Michael W. Mahoney AI4TS 56 1 0 19 Jul 2024
Separable Operator Networks Xinling Yu S. Hooten Z. Liu Yequan Zhao M. Fiorentino T. Van Vaerenbergh Zheng-Wei Zhang 51 4 0 15 Jul 2024
Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging S. Husain L. Šeparović Jean-François Caron R. Aider Mark Buehner ... Ron McTaggart-Cowan Christopher Subich P. Vaillancourt Jing Yang A. Zadra 28 8 0 08 Jul 2024
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed H. Pahlavan P. Hassanzadeh M. J. Alexander 36 1 0 07 Jul 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Julius Berner Peter Yichen Chen Aniket Bera AI4CE 63 2 0 04 Jul 2024
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat 39 0 0 02 Jul 2024
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat AI4TS 36 0 0 30 Jun 2024
Enforcing Equity in Neural Climate Emulators William Yik Sam J. Silva 21 1 0 28 Jun 2024
VarteX: Enhancing Weather Forecast through Distributed Variable Representation Ayumu Ueyama Kazuhiko Kawamoto Hiroshi Kera 33 0 0 28 Jun 2024
Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet) Shengjuan Cai Fangxin Fang V. Peuch Mihai Alexe I. M. Navon Yanghua Wang AI4Cl AI4CE 30 0 0 27 Jun 2024
Learning Optimal Filters Using Variational Inference Enoch Luk Eviatar Bach Ricardo Baptista Andrew Stuart 26 6 0 26 Jun 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars Wesley Brewer Aditya Kashi Sajal Dash A. Tsaris Junqi Yin Mallikarjun Shankar Feiyi Wang 46 0 0 24 Jun 2024