Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

12 July 2022

Papers citing "Earthformer: Exploring Space-Time Transformers for Earth System Forecasting"

50 / 71 papers shown

Title
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows Huaguan Chen Yang Liu Hao Sun PINN AI4CE 34 0 0 08 Apr 2025
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines Chen Tang Xinzhu Ma Encheng Su Xiufeng Song Xiaohong Liu Wei-Hong Li Lei Bai Wanli Ouyang Xiangyu Yue 3DGS AI4TS 64 0 0 26 Mar 2025
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting Weiyan Wang Xingjian Shi Ruiqi Shu Yuan Gao Rui Chen ... Shuaipeng Li Yangyu Tao Di Wang Hao Wu Xiaomeng Huang 51 0 0 26 Feb 2025
High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation Ziye Wang Yiran Qin Lin Zeng Ruimao Zhang 60 0 0 24 Feb 2025
Sub-Sequential Physics-Informed Learning with State Space Model Chenhui Xu Dancheng Liu Yuting Hu Jiajie Li Ruiyang Qin Qingxiao Zheng Jinjun Xiong AI4CE PINN 66 0 0 01 Feb 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting Hao Wu Haomin Wen Guibin Zhang Yutong Xia Kai Wang Yuxuan Liang Yu Zheng Kun Wang 60 2 0 17 Jan 2025
Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers Shuochen Wang Nishant Yadav A. Ganguly AI4CE 65 0 0 21 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events Ayush Khot Xihaier Luo Ai Kagawa Shinjae Yoo EDL BDL 76 0 0 18 Dec 2024
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting Penghui Wen Lei Bai Mengwei He Patrick Filippi Feng Zhang Thomas Francis Bishop Zhiyong Wang Kun Hu 75 0 0 02 Dec 2024
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting Chiu-Wai Yan Shi Quan Foo Van Hoan Trinh Dit-Yan Yeung Ka-Hing Wong W. Wong 25 0 0 30 Oct 2024
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness Cheng Huang Pan Mu Cong Bai Peter AG Watson 16 1 0 17 Oct 2024
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling Junchao Gong Siwei Tu Weidong Yang Ben Fei Kun Chen Wenlong Zhang Xiaokang Yang Wanli Ouyang Lei Bai DiffM 16 2 0 08 Oct 2024
Explainable Earth Surface Forecasting under Extreme Events Oscar J. Pellicer-Valero Miguel-Ángel Fernández-Torres Chaonan Ji Miguel D. Mahecha Gustau Camps-Valls 16 0 0 02 Oct 2024
Masked Autoregressive Model for Weather Forecasting Doyi Kim Minseok Seo Hakjin Lee Junghoon Seo 18 0 0 30 Sep 2024
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data Alif Bin Abdul Qayyum Xihaier Luo Nathan M. Urban Xiaoning Qian Byung-Jun Yoon AI4Cl 13 0 0 25 Sep 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 31 1 0 19 Jul 2024
VegeDiff: Latent Diffusion Model for Geospatial Vegetation Forecasting Sijie Zhao Hao Chen Xue-liang Zhang P. Xiao Lei Bai Wanli Ouyang DiffM 30 0 0 17 Jul 2024
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines Zidong Wang Zeyu Lu Di Huang Tong He Xihui Liu Wanli Ouyang Lei Bai 33 5 0 11 Jul 2024
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges Gustau Camps-Valls Miguel-Ángel Fernández-Torres Kai-Hendrik Cohrs Adrian Höhl A. Castelletti ... S. Salcedo-Sanz S. Sippel Spyros Kondylatos Tamara Happé T. Williams 26 0 0 28 Jun 2024
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting Sojung An Tae-Jin Oh Eunha Sohn Donghyun Kim AI4TS 29 6 0 07 Jun 2024
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series Zhicheng Chen Xi Xiao Ke-Li Xu Zhong Zhang Yu Rong Qing Li Guojun Gan Zhiqiang Xu Peilin Zhao AI4TS 27 0 0 30 May 2024
SFANet: Spatial-Frequency Attention Network for Weather Forecasting Jiaze Wang Hao Chen Hongcan Xu Jinpeng Li Bo-Lan Wang Kun Shao Furui Liu Huaxi Chen Guangyong Chen Pheng-Ann Heng 37 0 0 29 May 2024
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics Hao Wu Xingjian Shi Ziyue Huang Penghao Zhao Wei Xiong Jinbao Xue Yangyu Tao Xiaomeng Huang Weiyan Wang AI4TS 28 1 0 27 May 2024
Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks Xuanle Zhao Yue Sun Tielin Zhang Bo Xu AI4CE 30 1 0 23 May 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu Fenghua Ling Wenlong Zhang Tao Han Hao Chen Wanli Ouyang Lei Bai AI4CE 34 3 0 22 May 2024
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution Xihaier Luo Xiaoning Qian Byung-Jun Yoon 29 3 0 20 May 2024
Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction Jared Willard Peter Harrington Shashank Subramanian Ankur Mahesh Travis A. O'Brien William D. Collins AI4TS 26 7 0 30 Apr 2024
Spectral-Spatial Mamba for Hyperspectral Image Classification Lin Huang Yushi Chen Xin He Mamba 34 27 0 29 Apr 2024
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance Hao Wu Fan Xu Yifan Duan Ziwei Niu Weiyan Wang Gaofeng Lu Kun Wang Yuxuan Liang Yang Wang DiffM AI4CE 34 8 0 18 Mar 2024
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting Ziqing Ma Wen-wu Wang Tian Zhou Chao Chen Bingqing Peng Liang Sun Rong Jin 16 1 0 08 Feb 2024
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling Junchao Gong Lei Bai Peng Ye Wanghan Xu Na Liu Jianhua Dai Xiaokang Yang Wanli Ouyang AI4Cl 37 10 0 06 Feb 2024
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts Kun Wang Hao Wu Guibin Zhang Junfeng Fang Yuxuan Liang Yuankai Wu Roger Zimmermann Yang Wang 11 8 0 06 Feb 2024
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting Eloy Reulen S. Mehrkanoon 12 3 0 18 Jan 2024
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling Wenyuan Li Zili Liu Keyan Chen Hao Chen Shunlin Liang Zhengxia Zou Z. Shi AI4CE 14 10 0 04 Jan 2024
Towards an end-to-end artificial intelligence driven global weather forecasting system Kun Chen Lei Bai Fenghua Ling Peng Ye Tao Chen ... Hao Chen Yi Xiao Kang Chen Tao Han Wanli Ouyang AI4Cl 15 16 0 18 Dec 2023
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu Yuxuan Liang Wei Xiong Zhengyang Zhou Wei-Ming Huang Shilong Wang Kun Wang AI4TS 37 10 0 13 Dec 2023
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting Demin Yu Xutao Li Yunming Ye Baoquan Zhang Chuyao Luo Kuai Dai Rui Wang Xunlai Chen 23 19 0 11 Dec 2023
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey Shengchao Chen Guodong Long Jing Jiang Dikai Liu Chengqi Zhang SyDa AI4CE 23 15 0 05 Dec 2023
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach Jinguo Cheng Ke Li Yuxuan Liang Lijun Sun Junchi Yan Yuankai Wu AI4TS 11 2 0 04 Dec 2023
RainAI -- Precipitation Nowcasting from Satellite Data Rafael Pablos-Sarabia Joachim Nyborg Morten Birk Ira Assent 15 0 0 30 Nov 2023
SIAM: A Simple Alternating Mixer for Video Prediction Xin Zheng Ziang Peng Yuan Cao Hongming Shan Junping Zhang 18 0 0 20 Nov 2023
Challenges in data-based geospatial modeling for environmental research and practice Diana Koldasbayeva P. Tregubova M. Gasanov Alexey Zaytsev Anna Petrovskaia E. Burnaev AI4CE 17 1 0 18 Nov 2023
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning Julia Kaltenborn C. E. E. Lange Venkatesh Ramesh Philippe Brouillard Yaniv Gurwicz Chandni Nagda Jakob Runge Peer Nowack David Rolnick AILaw 17 16 0 07 Nov 2023
Transformer-based nowcasting of radar composites from satellite images for severe weather Çaglar Küçük Apostolos Giannakos Stefan Schneider Alexander Jann 24 4 0 30 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 31 116 0 16 Oct 2023
USTEP: Spatio-Temporal Predictive Learning under A Unified View Cheng Tan Jue Wang Zhangyang Gao Siyuan Li Stan Z. Li 36 1 0 09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 18 9 0 08 Oct 2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck Marco Federici Patrick Forré Ryota Tomioka Bastiaan S. Veeling 8 3 0 13 Sep 2023
Long-term drought prediction using deep neural networks based on geospatial weather data Alexander Marusov Vsevolod Grabar Yury Maximov Nazar Sotiriadi Alexander Bulkin Alexey Zaytsev 26 4 0 12 Sep 2023
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning C. Lessig Ilaria Luise Bing Gong M. Langguth S. Stadtler Martin G. Schultz 13 28 0 25 Aug 2023