WeatherBench: A benchmark dataset for data-driven weather forecasting

2 February 2020

Papers citing "WeatherBench: A benchmark dataset for data-driven weather forecasting"

50 / 69 papers shown

Title
ExEBench: Benchmarking Foundation Models on Extreme Earth Events Shan Zhao Zhitong Xiong Jie Zhao Xiao Xiang Zhu 40 0 0 13 May 2025
Exploring Design Choices for Autoregressive Deep Learning Climate Models Florian Gallusser Simon Hentschel Anna Krause Andreas Hotho AI4Cl 37 0 0 05 May 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4TS AI4CE 67 0 0 15 Mar 2025
GMG: A Video Prediction Method Based on Global Focus and Motion Guided Yuhao Du Hui Liu Haoxiang Peng Xinyuan Chen Chenrong Wu J. Zhang 59 0 0 14 Mar 2025
Transforming Weather Data from Pixel to Latent Space Sijie Zhao Feng Liu Xueliang Zhang Hao Chen Tao Han Junchao Gong R. Tao P. Xiao Lei Bai Wanli Ouyang 42 0 0 09 Mar 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning Minbo Ma Kai Tang Huan Li Fei Teng Dalin Zhang Tianrui Li AI4TS 44 0 0 24 Feb 2025
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations Keon Vin Park DiffM PINN AI4CE 92 0 0 06 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 68 2 0 17 Jan 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 38 60 0 03 Jan 2025
Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae Tomas Landelius Joel Oskarsson Fredrik Lindsten AI4Cl 35 2 0 07 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 38 28 0 24 Sep 2024
Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model Dhruv Suri Praneet Dutta Flora Xue Ines Azevedo Ravi Jain 29 0 0 14 Sep 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 39 0 0 28 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
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
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
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models Jan Martinu Petr Simánek AI4Cl DiffM 26 1 0 06 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
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 5 0 22 May 2024
Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet Melissa Adrian Daniel Sanz-Alonso Rebecca Willett 36 4 0 21 May 2024
Decomposing weather forecasting into advection and convection with neural networks Mengxuan Chen Ziqi Yuan Jinxiao Zhang Runmin Dong Haohuan Fu 43 0 0 10 May 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 37 10 0 26 Apr 2024
DiffDA: a Diffusion Model for Weather-scale Data Assimilation Langwen Huang Lukas Gianinazzi Yuejiang Yu P. Dueben Torsten Hoefler 26 28 0 11 Jan 2024
Effective Benchmarks for Optical Turbulence Modeling Christopher Jellen Charles Nelson C. Brownell John Burkhardt 11 1 0 07 Jan 2024
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach Chao Chen Tian Zhou Yanjun Zhao Hui Liu Liang Sun Rong Jin 40 0 0 06 Dec 2023
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez H. Dacre Simon Driscoll Suzanne L. Gray Ben Harvey ... Kieran M. R. Hunt Robert W. Lee Ranjini Swaminathan R. Vandaele Ambrogio Volonté AI4Cl 32 29 0 05 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 33 1 0 05 Dec 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 35 117 0 16 Oct 2023
USTEP: Spatio-Temporal Predictive Learning under A Unified View Cheng Tan Jue Wang Zhangyang Gao Siyuan Li Stan Z. Li 38 1 0 09 Oct 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 24 3 0 18 Sep 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 32 19 0 06 Aug 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 41 13 0 24 Jun 2023
Scaling Spherical CNNs Carlos Esteves Jean-Jacques E. Slotine A. Makadia GNN LRM 21 14 0 08 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 34 29 0 29 May 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 43 5 0 06 Apr 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 30 11 0 28 Mar 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations Xun Zhu Yutong Xiong Ming Wu Gaozhen Nie Bin Zhang Ziheng Yang AI4TS 28 17 0 21 Feb 2023
Locally Simultaneous Inference Tijana Zrnic William Fithian 32 4 0 18 Dec 2022
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting Maowei Jiang Pengyu Zeng Kai-Ming Wang Huan Liu Wenbo Chen Haoran Liu AI4TS 35 50 0 02 Dec 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 43 41 0 28 Nov 2022
Spatial Mixture-of-Experts Nikoli Dryden Torsten Hoefler MoE 34 9 0 24 Nov 2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization Alexander Wikner Joseph Harvey M. Girvan Brian R. Hunt Andrew Pomerance Thomas Antonsen Edward Ott 21 6 0 09 Nov 2022
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 49 30 0 22 Oct 2022
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting Tao Ge Jaideep Pathak Akshay Subramaniam K. Kashinath AI4Cl 19 5 0 21 Oct 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction Taehyeon Kim Namgyu Ho Donggyu Kim Se-Young Yun BDL 20 6 0 30 Jun 2022
Improving trajectory calculations using deep learning inspired single image superresolution Rudiger Brecht L. Bakels Alexander Bihlo A. Stohl 13 0 0 07 Jun 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation Yuan Hu Lei Chen Zhibin Wang Hao Li OOD 26 47 0 26 May 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 15 1 0 18 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 42 57 0 31 Mar 2022