:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Wuxin, Ni, Weicheng, Huang, Lilan, Hao, Tao, Fei, Ben, Ma, Shuo, Yuan, Taikang, Zhao, Yanlai, Deng, Kefeng, Li, Xiaoyong, Leng, Hongze, Duan, Boheng, Bai, Lei, Zhang, Weimin, Song, Junqiang, Ren, Kaijun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Online Access:	https://arxiv.org/abs/2507.09202
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024)

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

FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024)

FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
by: Zhong, Xiaohui, et al.
Published: (2024)

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast
by: Wang, Jingnan, et al.
Published: (2025)

Interpolation of mountain weather forecasts by machine learning
by: Iwase, Kazuma, et al.
Published: (2023)

An update to ECMWF's machine-learned weather forecast model AIFS
by: Moldovan, Gabriel, et al.
Published: (2025)

FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
by: Xu, Xiaoze, et al.
Published: (2026)

Hybrid weather prediction using spectral nudging toward machine-learning forecasts
by: Polichtchouk, I., et al.
Published: (2026)

FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
by: Chen, Lei, et al.
Published: (2023)

Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, et al.
Published: (2025)

Improvements to the post-processing of weather forecasts using machine learning and feature selection
by: Iwase, Kazuma, et al.
Published: (2026)

The rise of data-driven weather forecasting
by: Ben-Bouallegue, Zied, et al.
Published: (2023)

Boosting weather forecast via generative superensemble
by: Nai, Congyi, et al.
Published: (2024)

Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space
by: Li, Shuangliang, et al.
Published: (2024)

A neural network-based observation operator for weather radar data assimilation
by: Stefanelli, Marco, et al.
Published: (2025)

Aardvark weather: end-to-end data-driven weather forecasting
by: Vaughan, Anna, et al.
Published: (2024)

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
by: Guo, Shan, et al.
Published: (2025)

"What is a realistic forecast?" Assessing data-driven weather forecasts, a journey from verification to falsification
by: Bouallègue, Zied Ben
Published: (2026)

Multivariate post-processing of probabilistic sub-seasonal weather regime forecasts
by: Mockert, Fabian, et al.
Published: (2024)

BharatBench: Dataset for data-driven weather forecasting over India
by: Choudhury, Animesh, et al.
Published: (2024)

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
by: Chattopadhyay, Ashesh, et al.
Published: (2021)

Hybrid machine learning data assimilation for marine biogeochemistry
by: Higgs, Ieuan, et al.
Published: (2025)

Decomposing weather forecasting into advection and convection with neural networks
by: Chen, Mengxuan, et al.
Published: (2024)

Skillful joint probabilistic weather forecasting from marginals
by: Alet, Ferran, et al.
Published: (2025)

Windows of opportunity in subseasonal weather regime forecasting: A statistical-dynamical approach
by: Mockert, Fabian, et al.
Published: (2025)

Cast3: Translating numerical weather prediction principles into data-driven forecasting
by: Nai, Congyi, et al.
Published: (2026)

Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints
by: Fan, Hang, et al.
Published: (2025)

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
by: Gupta, Aayush, et al.
Published: (2026)

Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning
by: Landry, David, et al.
Published: (2024)

Skillful high-resolution weather forecasting independent of physical models
by: Zhao, Pengcheng, et al.
Published: (2026)

Seasonal forecasting using the GenCast probabilistic machine learning model
by: Antonio, Bobby, et al.
Published: (2025)

Data driven weather forecasts trained and initialised directly from observations
by: McNally, Anthony, et al.
Published: (2024)

GenCast: Diffusion-based ensemble forecasting for medium-range weather
by: Price, Ilan, et al.
Published: (2023)

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
by: Brazidec, Joffrey Dumont Le, et al.
Published: (2026)

Enhanced predictions of the Madden-Julian oscillation using the FuXi-S2S machine learning model: Insights into physical mechanisms
by: Cao, Can, et al.
Published: (2025)

AI-driven weather forecasts enable anticipated attribution of extreme events to human-made climate change
by: Jiménez-Esteve, Bernat, et al.
Published: (2024)

Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
by: Ni, Zekun, et al.
Published: (2025)

Rainfall forecasts in daily use over East Africa improved by machine learning
by: Cooper, Fenwick C., et al.
Published: (2025)