Cover Image

Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Tao, Wen, Zhibin, Chen, Zhenghao, Du, Dazhao, Guo, Song, Bai, Lei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
by: Li, Ruize, et al.
Published: (2026)

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
by: Gong, Junchao, et al.
Published: (2024)

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
by: Chen, Hao, et al.
Published: (2025)

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
by: Chen, Hao, et al.
Published: (2024)

ORCAst: Operational High-Resolution Current Forecasts
by: Garcia, Pierre, et al.
Published: (2025)

Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5
by: Cheon, Minjong, et al.
Published: (2024)

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
by: Han, Tao, et al.
Published: (2024)

KARINA: An Efficient Deep Learning Model for Global Weather Forecast
by: Cheon, Minjong, et al.
Published: (2024)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
by: Lieberman, Kelsey, et al.
Published: (2026)

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
by: Loveday, Nicholas, et al.
Published: (2024)

S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
by: Chen, Hongyi, et al.
Published: (2025)

Learning Representations of Satellite Images with Evaluations on Synoptic Weather Events
by: Yo, Ting-Shuo, et al.
Published: (2025)

Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
by: Wang, Wuxin, et al.
Published: (2024)

Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing
by: Pérez-Carrasco, Manuel, et al.
Published: (2026)

OneForecast: A Universal Framework for Global and Regional Weather Forecasting
by: Gao, Yuan, et al.
Published: (2025)

Super Resolution On Global Weather Forecasts
by: Zhang, Lawrence, et al.
Published: (2024)

Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
by: Ling, Fenghua, et al.
Published: (2024)

How does an AI Weather Model Learn to Forecast Extreme Weather?
by: Baiman, Rebecca, et al.
Published: (2025)

Improving Tropical Cyclone Forecasting With Video Diffusion Models
by: Ren, Zhibo, et al.
Published: (2025)

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)

PhysDNet: Physics-Guided Decomposition Network of Side-Scan Sonar Imagery
by: Lei, Can, et al.
Published: (2025)

Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting
by: Cheon, Minjong
Published: (2026)

WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning
by: Zhao, Xiangyu, et al.
Published: (2024)

OptFormer: Optical Flow-Guided Attention and Phase Space Reconstruction for SST Forecasting
by: Wang, Yin, et al.
Published: (2025)

Global 3D Reconstruction of Clouds & Tropical Cyclones
by: Ermis, Shirin, et al.
Published: (2025)

Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency
by: Cheon, Minjong, et al.
Published: (2025)

FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation
by: Xiao, Yi, et al.
Published: (2023)

Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
by: Leinonen, Jussi, et al.
Published: (2024)

AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
by: Cheon, Minjong
Published: (2025)

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
by: Zhdanov, Maksim, et al.
Published: (2026)

SynopticBench: Evaluating Vision-Language Models on Generating Weather Forecast Discussions of the Future
by: Higgins, Timothy B., et al.
Published: (2026)

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
by: Chen, Kang, et al.
Published: (2023)

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
by: Gomez, Milton, et al.
Published: (2025)

YanTian: An Application Platform for AI Global Weather Forecasting Models
by: Cheng, Wencong, et al.
Published: (2024)

ML-Physical Fusion Models Are Accelerating the Paradigm Shift in Operational Typhoon Forecasting
by: Niu, Zeyi
Published: (2025)

StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh
by: Feng, Jin
Published: (2026)

Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
by: Fan, Hang, et al.
Published: (2025)

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
by: Wang, Xiang, et al.
Published: (2024)

EWE: An Agentic Framework for Extreme Weather Analysis
by: Jiang, Zhe, et al.
Published: (2025)

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
by: Stock, Jason, et al.
Published: (2024)