Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

3 November 2022

Xiaotao Gu

Papers citing "Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast"

27 / 27 papers shown

Title
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers Tianyu Chen Haoyi Zhou Y. Li Hao Wang Z. Zhang Tianchen Zhu Shanghang Zhang J. Li 32 0 0 11 May 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
Multi-Source Temporal Attention Network for Precipitation Nowcasting Rafael Pablos-Sarabia Joachim Nyborg Morten Birk Jeppe Liborius Sjørup Anders Lillevang Vesterholt Ira Assent AI4Cl 28 0 0 11 Oct 2024
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data Matthew Ashman Cristiana-Diana Diaconu Eric Langezaal Adrian Weller Richard E. Turner AI4TS 36 1 0 09 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 34 10 0 20 Sep 2024
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics David Millard Arielle Carr Stéphane Gaudreault 41 3 0 10 Sep 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 43 0 0 04 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 28 0 0 31 Jul 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
OceanCastNet: A Deep Learning Ocean Wave Model with Energy Conservation Ziliang Zhang Huaming Yu Danqin Ren PINN AI4Cl 47 1 0 06 Jun 2024
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model Changhong Hou Junchuan Yu Daqing Ge Liu Yang Laidian Xi Yunxuan Pang Yi Wen 25 0 0 15 Mar 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 42 8 0 19 Feb 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 32 3 0 05 Feb 2024
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV Florian Achermann Thomas Stastny Bogdan Danciu Andrey Kolobov Jen Jen Chung Roland Siegwart Nicholas R. J. Lawrance 17 2 0 18 Jan 2024
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 22 3 0 18 Sep 2023
Efficient Neural PDE-Solvers using Quantization Aware Training W.V.S.O. van den Dool Tijmen Blankevoort Max Welling Yuki M. Asano MQ 25 3 0 14 Aug 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 25 18 0 13 Aug 2023
AI-GOMS: Large AI-Driven Global Ocean Modeling System Wei Xiong Yanfei Xiang Hao Wu Shuyi Zhou Yuze Sun Muyuan Ma Xiaomeng Huang AI4Cl AI4CE 24 19 0 06 Aug 2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators Xiang Huang Zhuoyuan Li Hongsheng Liu Zidong Wang Hongye Zhou Bin Dong Bei Hua AI4TS AI4CE 27 1 0 26 Jul 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núnez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 16 11 0 01 Jun 2023
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 26 5 0 24 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 33 5 0 06 Apr 2023
Myths and Legends in High-Performance Computing Satoshi Matsuoka Jens Domke M. Wahib Aleksandr Drozd Torsten Hoefler 20 14 0 06 Jan 2023
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting Elena Orlova Haokun Liu Raphael Rossellini B. Cash Rebecca Willett 24 3 0 29 Nov 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics Sebastian Hoffmann C. Lessig AI4Cl 24 8 0 02 Feb 2022
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 217 272 0 24 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 224 7,902 0 13 Jun 2015